Lux Capital manages over $5 billion in assets focused on founding, seed, early-stage, and growth investments at the intersection of technology and the sciences. Lux takes an active role in helping entrepreneurs build successful businesses in high-growth sectors. Its investment team has built over 20 companies from scratch. Lux's investment strategy ensures portfolio companies are better connected, have a deeper insight, and command industry leadership faster than their competitors.

Lux Capital

Deep Tech Venture Capital firm. We invest in AI, Robotics, Life Sciences, Tech Infrastructure, Advanced Materials and others. Deep Tech is where Science meets Technology. Deep tech companies are building a better future, thanks to entrepreneurs, researchers, scientists, engineers, academics, and subject matter experts who develop new algorithms, models, systems, devices and products.

GRIDS Capital

Eclipse Ventures is a seed-stage venture firm managed by a team of former operators who are passionate about modernizing massive, physical industries like manufacturing, logistics, transportation, and healthcare. They work side by side with experienced founders who understand the need to transform these industries, and they provide guidance on everything from operating practices to fundraising strategies. Partnering means deep engagement as they build generational companies in sectors that define and propel economies.

Eclipse Ventures

Tate Family Trust

Mithril is a family of long-term venture capital funds agnostic to sector and geography. They provide capital to leading growth companies by partnering with teams who use technology to build transformative and durable businesses.

Mithril Capital Management

Flex Logix Technologies

Flex Logix charges a license fee for the delivery of the design files and tools, an annual license fee for the ongoing use of the EFLX Compiler for reprogramming, and a royalty.  The company was founded in 2014 and is based in Mountain View, California.

Flex Logix is a reconfigurable semiconductor computing company, providing embedded FPGA (eFPGA) and AI inference technologies.

Generating, collecting, and analyzing enterprise data will never be the same.

Edge Computing

Flex Logix, Inc. is a leading provider of embedded FPGA (eFPGA) IP and reconfigurable DSP/AI solutions. The company's flagship product is the EFLX eFPGA, which allows customers to integrate FPGA functionality into their SoCs, resulting in significant cost and power reductions compared to using traditional FPGAs. As of September 2023, Flex Logix had 20 worldwide customers who had licensed its EFLX eFPGA technology for 40 unique chips, with over 25 chips successfully fabricated in silicon. The company supports process nodes from 180nm to 7nm, with 5nm and 3nm in development.

Flex Logix

News Flex Logix

FLEX LOGIX EXPANDS UPON INDUSTRY-LEADING EMBEDDED FPGA CUSTOMER BASE

FLEX LOGIX OPENS UP LICENSING ACCESS TO ITS INFERX AI TECHNOLOGY

FLEX LOGIX JOINS INTEL FOUNDRY USMAG ALLIANCE

A new generation of building blocks for emerging tech

Next-gen Semiconductors

Flex Logix is a semiconductor startup that specializes in IP offerings and AI accelerator chips. The company’s offerings include EFLX eFPGA, InferXTM IP, and software for DSP and AI inference.&nbsp;

Empowering Tomorrow's Innovations with Generative AI Infrastructure

Generative AI Infrastructure

Flex Logix Technologies, Inc. on LinkedIn: #efpga #adaptability #accerlation #security #flexibility #asic #soc…

Flex Logix is a reconfigurable semiconductor computing company, providing embedded FPGA (eFPGA) and AI inference technologies.Flex Logix’s solutions enable semiconductor and systems companies to adapt their System on Chips (SoCs) to new needs, protocols, standards, and algorithms efficiently. Flex Logix's eFPGA IP, known for its modular architecture and claimed superior power versus performance, has been implemented in over 25 chips with many more in design.Its technology allows the integration of flexible parallel processing performance into SoCs, offering a significant reduction in size, cost, and power consumption. Additionally, its InferX platform delivers efficient DSP (Digital signal processing) or AI performance.In May 2023, It announced it had stopped selling its InferX X1 AI accelerator chip and will instead bring the architecture to market as licensable IP.Key customers and partnershipsAs of September 2023, the company had 20 worldwide customers that had licensed the company’s advanced EFLX eFPGA technology architecture for 40 chips.Flex Logix has established various partnerships, such as joining the Intel Foundry Services (IFS) Accelerator IP Alliance. It had also partnered with The Air Force Research Laboratory to leverage Flex Logix IP technology in all US Government-funded programs for research and prototyping purposes (March 2022). Additionally, its collaboration with Microsoft aimed to assist in constructing secure state-of-the-art chips for the US Department of Defense (July 2022). Furthermore, a partnership with CEVA led to the announcement of the world's first successful silicon implementation using Flex Logix's EFLX® embedded FPGA (eFPGA) connected to a CEVA-X2 DSP instruction extension interface (June 2022). Lastly, a partnership with INTRINSIC ID focused on securing the eFPGA platform (July 2022).Funding and financialsFlex Logix raised USD 55 million in a March 2021 Series D funding round led by Mithril Capital Management. The funds will be used to expand its software, engineering, and customer support teams to accelerate product developments.

DC Blox offers edge colocation centers, including disaster recovery services, mainly targeting the underserved markets in the southeastern region of the US. Its clients range from enterprises, cloud providers, government entities, and educational institutions, among others. DC Blox connects users to any destination globally through its private network and ecosystem of global communication partners.DC BLOX’s data centers are located in Birmingham, AL; Huntsville, AL; Chattanooga, TN; Greenville, SC, and Myrtle Beach, SC, with others in development near Atlanta and Berkeley County, SC as of March 2024.In 2023, DC Blox embarked on an <a href="https://finance.yahoo.com/news/dc-blox-set-build-hyperscale-133500449.html">expansion strategy</a>, with the development of a hyperscale-ready data center campus in Rockdale County, Georgia, being one of the latest and most significant projects. This new campus was set to feature a sprawling 750,000 sq ft space with a total power capacity of 216MW, supplied by Georgia Power. The project was designed to include a dark fiber ring around the Atlanta metropolitan area, enhancing the connectivity for its tenants and bolstering the company's network infrastructure.Funding and financialsDC Blox raised USD 187 million in funding from Post Road Group and Bain Capital Credit, in March 2021. It aims to use the funds to refinance existing credit facilities, add liquidity to its balance sheet, and expand data center capacity in new and existing locations.

DC Blox

Edgeworx offers the Eclipse ioFog Engine, an application platform that turns hardware into an intelligent edge node. The company allows users to extend their cloud to the edge and run and monitor microservices from any infrastructure. It caters to both developers and operations users to uniformly manage hardware and software.In November 2023, Edgeworx, <a href="https://sp-edge.com/companies/728459">launched Edgeworx Cloud</a>, an enterprise-grade edge computing platform, on the Google Cloud Marketplace. The platform enables enterprises to deploy and manage containerized edge applications from any network without needing to operate their own Kubernetes clusters. It provides secure data management across edge devices, micro-services, hosts, and clients, as well as a hardware-agnostic agent for synchronizing deployments of heterogeneous fleets.Key customers and partnershipsEdgeworx's technology benefits from a range of partners including Docker, Kubernetes, Microsoft, and Red Hat, among others.

Edgeworx

Crosser offers a real-time analytics platform for enterprise Internet of Things (IoT), primarily for industrial IoT (IIoT).The Crosser Platform enables real-time processing of streaming or batch data, to enable industrial IoT, data transformation, analytics, automation, and integration, all to improve the utilization of industrial assets. The platform moves machine data into the cloud while also enabling edge analytics, hybrid integration, and factory floor integration.Key customers and partnershipsCrosser has a robust portfolio of partnerships with leading technology, AI, and ML providers. Some of its notable partners are AWS, Microsoft, SAP, Agora, Oracle, IFS, Siemens, ZEDEDA, and Intel.Funding and financialsIn March 2021, Crosser raised EUR 3 million (~USD 3.6 million) in Venture funding led by NTT DOCOMO Ventures and Montan-Ventures-Saar, with existing investors Industrifonden, Spintop Ventures, 42 Cap, Almi Invest, and Norrlandsfonden also participating.

Crosser

Zededa was founded in 2016 and came out of stealth in 2018 to offer an open edge ecosystem to provide visibility, control, and security when deploying apps remotely on the edge, regardless of the hardware used. The company commercially launched its remote management software in January 2021. The platform allows developers to avoid vendor lock-in and additionally offers support for industries facing more complex edge applications. Moreover, Zededa allows enterprises to mix old and new technology seamlessly, making it for industries like surveillance. The red company has an office in Pune, India, in addition to its headquarters in San Jose, California.In July 2023, the company released a suite of edge application tools including “Edge Access,” which provides access controls and audit tracing for edge deployments. Users can remotely access edge devices from any location at any time without requiring backend configuration or specialized skills.<a href="https://sp-edge.com/updates/24108">In November 2023,</a> the company announced a new service named ZEDEDA Edge Kubernetes Service, offering a fully managed Kubernetes service for distributed edge.Key customers and partnershipsThe company has a substantial customer base, with numerous Fortune 500 enterprises spanning various industries like manufacturing, renewable energy, telecommunications, and healthcare. Prominent clients include Rockwell Automation, Emerson, Agora, and VMware.Zededa collaborates with leading technology firms through its global ZEDEDA marketplace, granting partners direct entry to edge operations teams. This marketplace facilitates swift scalability for customers across thousands of edge devices with one-click deployments, eliminating the need for extensive professional services. Notable partners encompass Microsoft, Suse, Juniper Networks, AWS, Rafay Systems, Aviatrix, Fortinet, and more.Through Zededa's technology partnerships, customers can procure hardware devices and have them shipped directly to their intended destinations. This adaptable approach reduces solution expenses and empowers technology providers to offer optimal value to their clientele. Noteworthy partners in this initiative comprise Dell, Supermicro, HP Enterprise, Equinix, and others.During 2023, Zededa collaborated with Applied Digital in August, a company specializing in advanced digital infrastructure for High-Performance Computing, to use ZEDEDA's management and orchestration software. In May, it also partnered with Avassa, a container management platform tailored for edge environments, to facilitate comprehensive orchestration across the entire stack, ensuring security and visibility from hardware to edge applications.Zededa is also a part of multiple industry consortiums to use edge computing to address emerging issues faced by the energy industry. These collaborations include the OSDU Forum as well as LF Energy and Project Alvarium, which are part of the Linux Foundation (a non-profit group to standardize and support the adoption of Linux). In December 2022, the company extended its partnership with Emerson to integrate its edge application management and orchestration solution into Emerson’s DeltaV automation system. This would in turn enable Emerson’s customers to extend this automation system into the distributed edge.Funding and financialsIn <a href="https://sp-edge.com/updates/26448">February 2024</a>,it raised USD 72 million in a Series C funding round led by Smith Point Capital, with participation from Hillman Company, LDV Partners, Endeavor Catalyst Fund, Juniper Networks, and others. The funds were directed toward expanding sales and marketing endeavors and speeding up R&amp;D.In January 2023, the company announced that it had grown its annual revenue growth by 300%, and nodes under management by 250% over the previous year.

Zededa

SmartCone Technologies Canadian company specializes in developing Internet of Things (IoT) based safety and monitoring solutions.It mainly offers its services for securing dangerous worksites, controlling bicycle lane traffic, managing vehicle fleets, monitoring traffic incident scenes, crowd control, and site security surveillance, among others. Its devices range from wearables and torches, to constellation positioning systems.In July 2022 SmartCone Technologies announced HeatGuardian, a spin-off company dedicated to providing applications and micro-climate weather stations to calculate localized heat exposure to aid individuals and workers in staying safe during periods of hot weather. This initiative was undertaken in partnership with the Human and Environmental Physiology Research Unit at the University of Ottawa.Key customers and partnershipsThe company mainly caters to customers in the mining, logistics, and energy industries. Some notable customers are Nokia, IBM, DHL, and Exelon.In November 2021, the company partnered with the Centre for Integrated Transportation and Mobility (CITM) to build a database architecture and platform that would capture data from all Smart Mobility Networks, both 4G &amp; 5G elements, Intelligent IoT Nodes, C-V2X device, IoT devices, and other sensors installed on the Smart Mobility Networks.In January 2021, AutoGuardian by SmartCone became one of 37 firms in automotive company AISIN Group’s “open innovation initiatives.” This was in response to AutoGuardian’s successful proof of concept relating to vehicle-to-infrastructure (V2I) technology. AutoGuardian uses a SmartConeTM device, equipped with a camera, AI, radar, and onboard edge computing to offer non-line-of-sight alerts by using data such as vehicle speeds, vehicle and pedestrian count, and behavior estimations.Funding and financialsIn April 2019, Smartcone received CAD 187,500 in Debt Financing backed by FedDev Ontario.

SmartCone Technologies

Companies that provide software to enable users to run their applications at the edge.

Companies that produce hardware and infrastructure such as routers and servers that are not embedded on devices.

Companies that provide software that facilitates analytics, cyber security, and IoT at the edge.

Companies that produce embeddable hardware, including microchips, that allow devices to transmit and process data.

Companies that provide software used in data centers to carry out operations effectively.

Companies that offer datacenter infrastructure to facilitate edge computing, including micro data centers deployable to more strategic locations.

Some players in the embedded hardware segment offer microprocessors for running GenAI applications at the edge of enterprise networks

Most companies operating in this industry operate under a B2B SaaS model

Includes companies that support AI/ML workloads and offer IoT data management

All companies in this industry offer edge computing solutions

Offers solutions for managing IoT device data on the edge of users' networks

Includes micro processor manufacturers that particularly target AI workloads for the edge

Many service providers partner with telecom services to leverage 5G to reduce edge application latency

Flex Logix, Inc. is a leading provider of embedded FPGA (eFPGA) IP and reconfigurable DSP/AI solutions. The company's flagship product is the EFLX eFPGA, which allows customers to integrate FPGA functionality into their SoCs, resulting in significant cost and power reductions compared to using traditional FPGAs. As of September 2023, Flex Logix had 20 worldwide customers who had licensed its EFLX eFPGA technology for 40 unique chips, with over 25 chips successfully fabricated in silicon. The company supports process nodes from 180nm to 7nm, with 5nm and 3nm in development.In April 2023, Flex Logix announced the availability of InferX IP and software for DSP and AI inference. InferX is designed to deliver the performance of a DSP-FPGA or an AI-GPU in an SoC at a fraction of the cost and power while maintaining reconfigurability. The company's technologies are applicable across various industries, including data centers, edge computing, 5G, automotive, and military-aerospace.Flex Logix's eFPGA technology offers several advantages, including up to 1.5x higher frequency, 2x denser LUT packing, and 10x faster compile times compared to previous generations. The company's solutions are designed to address challenges in modern signal processing, enabling systems to adapt as algorithms evolve and data throughput increases. In March 2024, Flex Logix announced the development of InferX DSP for use with existing EFLX eFPGA from 40nm to 7nm, offering approximately 30 times the DSP performance per square millimeter compared to eFPGA.

SiFive is a fabless semiconductor company founded in 2015 that specializes in designing processor cores and chips based on the open-source RISC-V instruction set architecture. The company provides commercial RISC-V-based platforms and custom silicon solutions, offering a range of processor core IP, development boards, and SoCs. SiFive's technology enables system designers to quickly and easily build custom chips for various applications including data centers, networking, storage, and edge computing. The company's cores offer 30-40% better power efficiency and a smaller size compared to alternatives, allowing for more cores on a chip. SiFive's online platform simplifies the process of designing and testing chips and core IP, even for those new to silicon development. In September 2020, SiFive appointed Patrick Little as President and CEO to accelerate adoption of its technology for next-generation computing solutions. As of March 2022, SiFive had a post-money valuation between USD 1-10 billion.
Key customers and partnerships
SiFive has collaborated with several high-profile organizations. In 2022, NASA announced that SiFive's RISC-V-compatible CPU cores would power its new High-Performance Spaceflight Computer, expected to deliver a 100-fold improvement in performance over its predecessor. SiFive has also worked with the Barcelona Supercomputing Center to create an open-source API for popular compilers, enabling applications to use the RISC-V Vector Extension for high-performance computing, artificial intelligence, and computer vision. The company has partnerships with major technology firms, as evidenced by its involvement in initiatives supporting RISC-V International.

SiFive

Alif Semiconductor is a supplier of 32-bit AI/ML-enabled microcontrollers (MCUs) and fusion processors. Founded in 2019, the company's flagship product line is the Ensemble family, which ranges from single-core microcontrollers to multi-core fusion processors. The Ensemble devices combine Arm Cortex-M55 MCU cores, Cortex-A32 microprocessor cores, and Ethos-U55 microNPUs for AI/ML acceleration. Alif's processors are designed to be energy efficient, utilizing the company's Autonomous Intelligent Power Management (aiPM) technology that powers on only what's needed, when needed. This allows for extended battery life in applications like wearables, security cameras, and IoT devices.
The Ensemble family includes the E1, E3, and E7 series, with the E1C serving as an entry-level option. These processors offer high AI performance combined with ultra-low power consumption. For instance, the Balletto family, announced in April 2024, is claimed to be the world's first Bluetooth Low Energy wireless microcontroller featuring hardware optimization for AI/ML workloads. It can perform up to 46 GOPS (Giga Operations Per Second) and is designed for applications such as true wireless stereo earbuds and lifestyle wristbands.
Alif's processors incorporate advanced security features, including a Secure Enclave with its own resources and a configurable secure firewall structure. The company's security architecture aims to counter and resist malicious attacks in deployed edge products. Alif Semiconductor's products are designed to enable seamless integration of technology for everyday life by focusing on low-power techniques, functional integration, accelerated AI and ML edge processing, high security, wireless connectivity, and operating system diversity.
Key customers and partnerships
Alif Semiconductor has collaborated with several companies in the semiconductor and technology sectors. In November 2022, Alif partnered with onsemi to create a camera reference design for low-power applications using machine vision. This collaboration aimed to address challenges in implementing imaging products with long battery life and localized AI/ML capabilities.
In January 2024, Alif Semiconductor and Telit Cinterion unveiled the Vision AppKit, described as the world's smartest and most efficient connected camera reference design. This kit combines Telit Cinterion's wireless technology with Alif's Ensemble E3 series MCU for on-device AI use cases like face and object detection and image classification.
Alif has also worked with Plumerai, a creator of edge AI solutions, to deploy what they claim is the world's most precise person detection on the Ensemble platform. This collaboration demonstrated the potential for accurate computer vision AI in a small form factor that can run on battery power for extended periods.

Alif Semiconductor

Atmosic Technologies is a fabless semiconductor company specializing in ultra-low-power wireless platforms for the internet of Things (IoT). The company's core focus is on developing energy-efficient solutions that reduce or eliminate battery dependency in connected devices. Atmosic's product portfolio includes system-on-chips (SoCs) based on Bluetooth Low Energy (BLE) technology, enhanced with proprietary features for improved power efficiency and energy harvesting capabilities.
Atmosic's flagship products include the ATM3 and ATM33 series of Bluetooth 5.3 SoCs, which incorporate the company's Lowest Power Radio and On-demand Wake-Up technologies. These innovations enable Atmosic's chips to achieve significantly lower power consumption compared to standard Bluetooth solutions. The company's latest offering, the ATM34/e series announced in January 2024, expands its capabilities to support Matter-over-Thread protocol, providing additional flexibility for smart home applications.
The company's technology has found applications in various IoT devices, including asset trackers, beacons, remote controls, keyboards, mice, and wearables. One notable implementation is in Samsung's Galaxy SmartTag2, which utilizes Atmosic's ATM3325 SoC to achieve a 43% reduction in power consumption compared to its predecessor.
Atmosic's business model revolves around selling its SoCs to device manufacturers and providing development platforms to support integration into various IoT products. The company aims to address the growing demand for sustainable and low-maintenance IoT solutions across multiple sectors, including consumer, enterprise, healthcare, and industrial applications.
Key customers and partnerships
Atmosic has established partnerships with several companies in the IoT ecosystem. Samsung Electronics incorporated Atmosic's ATM3325 SoC into its Galaxy SmartTag2, showcasing the technology's ability to extend battery life in consumer products. In March 2023, Atmosic collaborated with Dracula Technologies to create a battery-free remote control reference design, combining Atmosic's ATM33 SoC with Dracula's organic photovoltaic technology.
The company has also partnered with Exeger, a Swedish manufacturer of solar cell technology, to develop energy harvesting solutions for IoT devices. In July 2024, Atmosic announced a partnership with blukii, a brand of hard&softWERK, to power a new Bluetooth beacon with extended battery life.
Atmosic's customer base has expanded significantly, with the company reporting a 500% increase in its customer base and a tenfold increase in shipments in January 2022. The company has also formed a partnership with Universal Electronics Inc., a global leader in universal control solutions for home entertainment and smart home devices.
In the distribution space, Atmosic partnered with Mouser Electronics in December 2023 to make its products more accessible to IoT developers worldwide. This partnership aims to accelerate the growth of sustainable IoT devices by providing immediate access to Atmosic's low-power wireless portfolio.

Atmosic

TenaFe, Inc. is a solid-state drive (SSD) controller startup that develops innovative storage technologies for data centers, edge computing, and client OEM applications. The company specializes in creating PCIe NVMe SSD controllers with advanced features. TenaFe's product lineup includes PCIe Gen 4 NVMe SSD controllers designed with DRAMless architecture, such as the TC2200, which achieves transfer rates of 4.8GB/s, and the TC2201, which can reach speeds up to 7.4GB/s. For data center applications, TenaFe offers the TC2310, a PCIe Gen 5 NVMe controller that prioritizes performance, power efficiency, and low latency, with a maximum active power average of less than 20W. This controller is compatible with various form factors including E1.S, E1.L, U.2, and E3.S. TenaFe also produces the TB2200, a PCIe Gen 4 NVMe BGA SSD designed for emerging applications such as autonomous vehicles, AR/VR products, and gaming phones. This small form factor SSD is soldered down to provide vibration resistance and shock-proof capabilities. In addition to hardware, TenaFe has developed TenaFe Insight, an SSD development platform that streamlines the process from architecture design to mass production, allowing for on-site or cloud-based development and collaboration with partners. The company's technology incorporates a patented LDPC engine to improve Quality of Service, leading-edge compression algorithms to enhance endurance and capacity, and designs optimized for minimal power consumption.

TenaFe

Menlo Micro is a company that specializes in developing and manufacturing innovative microelectromechanical systems (MEMS) switches, known as the Ideal Switch technology. The company's core product offering is a range of high-performance MEMS switches that combine the benefits of mechanical relays and solid-state switches. Menlo Micro's Ideal Switch technology enables switches that are significantly smaller, faster, and more reliable than traditional electromechanical relays while providing lower power consumption and better efficiency than solid-state alternatives.
The company's product portfolio includes various switch configurations such as single-pole/single-throw (SPST), single-pole/four-throw (SP4T), and double-pole/double-throw (DPDT) switches. These switches are designed for applications across multiple industries, including industrial automation, smart building controls, energy management systems, telecommunications, aerospace and defense, medical devices, and consumer electronics.
One of Menlo Micro's flagship products is the MM9200, introduced in December 2022. This device is capable of handling 10A of current in a miniature 5mm x 5mm surface-mount package, with an ultra-low contact resistance of 0.010 ohms. The MM9200 offers fast switching speeds of 10 microseconds, a voltage standoff of ±300V, and a mechanical endurance of over 1 billion switching cycles. In March 2023, the company released the MM1200, a six-channel SPST switch designed for power and signal switching applications in both DC and AC circuits.
To support its Ideal Switch products, Menlo Micro also develops complementary technologies such as the MM101, an 8-channel low-voltage to high-voltage driver with an integrated charge pump, released in January 2023. This driver solution aims to simplify the integration of Menlo Micro's switches into various applications.
In July 2023, Menlo Micro announced plans to establish its first domestic production facility, called the Ideal Fab, in Tompkins County, New York. The company committed to investing USD 50 million in this facility over three years, with the potential for additional investments up to USD 150 million as part of a multi-year growth strategy.

Menlo Micro

Companies that develop low-power, high-performance semiconductors for sensors, wearables, and other connected devices.

Companies that develop semiconductors that can support high-bandwidth and low-latency requirements of 5G networks and other wireless communication technologies.

Companies that develop semiconductors that focus on automotive applications such as advanced driver assistance systems (ADAS) and autonomous driving as well as in-car entertainment and communication systems.

Companies that develop semiconductors to improve the performance of data center infrastructure.

Companies developing semiconductors for other emerging tech applications, including quantum and edge computing.

Companies in the IoT applications segment develop semiconductors for sensors, wearables, and other connected devices

Develop semiconductor materials and technologies to advance technologies such as IoT, 5G, and AutoTech

RF applications segment companies develop semiconductors for 5G networks and other wireless communication technologies

Flex Logix is a semiconductor startup that specializes in IP offerings and AI accelerator chips. The company’s offerings include EFLX eFPGA, InferXTM IP, and software for DSP and AI inference.&nbsp;Flex Logix's eFPGA (Embedded Field-Programmable Gate Array) technology, branded as “EFLX,” enables the integration of FPGAs into system-on-chips (SoCs), offering a significant reduction in cost and power consumption by 5x–10x while doubling compute density. This technology is utilized in industries such as communications, networking, and data centers.&nbsp;In October 2020, Flex Logix launched the AI accelerator chip branded “InferX X1,” which was positioned as the industry's fastest AI inference chip for Edge systems, enhancing neural network model performance in various fields like robotics, medical imaging, autonomous vehicles, and aerospace. Notably, during its release, the InferX X1 outperformed NVIDIA's Jetson Xavier, achieving a 30% boost in YOLOv3 object detection and recognition, and up to 10x faster execution for different customer models.The InferX DSP IP offers high streaming capabilities, the ability to run various DSP operations on processor tiles, and flexible configurations for operations like FFT, FIR filters, and complex matrix inversions.&nbsp;In August 2023, Flex Logix shifted its business model away from selling its AI accelerator chips to bringing the architecture to market as licensable IP.Key customers and partnershipsFlex Logix eFPGA and AI inference technologies cater to a diverse range of industries, including automotive, aerospace, and defense.&nbsp;As of September 2020, Flex Logix announced that 20 customers worldwide had licensed its EFLX eFPGA technology architecture for 40 chips.Notably, in the automotive sector, companies like Morning Core, a subsidiary of Datung Telecommunications, have deployed eFPGA in automotive applications. Flex Logix's technology in aerospace and defense is employed by prominent entities such as AFRL, Boeing, the US Department of Defense, and Sandia.

Founded in Israel, NeuReality specializes in providing hardware infrastructure to streamline computation processes to accelerate the development of AI applications. Its technology assists AI inferencing deployment by offering a comprehensive system solution that seamlessly supports a vast array of deep learning models.NeuRealitys’ infrastructure includes an architecture called the Network Addressable Processing Unit (NAPU) to maximize the capabilities of Deep Learning Accelerators (DLAs). This design facilitates inference through purpose-built NAPUs that are specifically crafted for AI inference tasks, enhancing performance and efficiency.The NR1 AI Inference Solution by NeuReality is a comprehensive system comprising architecture, hardware, and software platforms. Launched in November 2023, it intends to simplify the installation, utilization, and management of AI, making it accessible and manageable for users.The hardware offerings of the solution include,1. NR1 Network Addressable Processing Unit : A network addressable inference Server-on-a-Chip with an embedded Neural Network Engine, which is a workflow-optimized hardware device with specialized processing units, native network capabilities, and virtualization capabilities2. NR1-M™ AI Inference Module : A full-height, double-wide PCIe card containing one NR1 Network Addressable Processing Unit (NAPU) system-on-chip and a network addressable Inference Server that can connect to an external Deep Learning Accelerator (DLA)3. NR1-S AI Inference Appliance : An optimized design for an inference server that contains NR1-M modules with the NR1 NAPU, which enables disaggregated AI service in a scalable and efficient architectureThe software component of the solution is designed to be compatible with any trained model from any development environment. It includes tools that handle the entire AI pipeline and enable seamless connection of AI workflows to any environment.NeuReality differs from traditional AI chip connectivity in replacing CPU-centric support with an AI-centric platform. This allows components to communicate directly with AI accelerators, eliminating the need for commands to pass through a central processing unit. Additionally, the technology enables AI accelerators to connect with each other, enhancing efficiency and performance in AI applications. It also claims its AI-centric approach reduces complexity, cost, and power usage. The firm claims it can reduce inference costs by 90%.Key customers and partnershipsIn November 2021, NeuReality teamed up with IBM to develop advanced AI inference technology by enhancing its NR1 chip and system for use in IBM's Hybrid Cloud.In September 2021, the company partnered with Xilinx to develop AI-centric platforms that improve real-world AI applications. This collaboration was intended to focus on NeuReality's AI-centric inference platform NR1-P and address existing issues with AI deployment including cost and complexity.

NeuReality

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LeewayHertz

Databricks, a data and AI company established by the original developers behind prominent Big Data solutions such as Delta Lake, Apache Spark, and MLflow, and provides organizations with AI and data analytics tools for efficient management of their data.&nbsp;Databricks' primary product is the Databricks Lakehouse platform, a unified data intelligence platform that merges a data warehouse and data lake to provide developers with efficient access to data and enables enterprise customers to create their AI models—similar to a ChatGPT-style AI system—using only their internal data.&nbsp;Databricks Unity Catalog, part of the Databricks Lakehouse Platform, provides unified governance for structured and unstructured data, machine-learning models, notebooks, dashboards, and files across various environments, offering automated monitoring, proactive alerts, and seamless data sharing through Delta Sharing integration. Furthermore, Databricks offers an open architecture that streamlines the AI development process, allowing the integration of various LLMs such as Llama 2, Azure OpenAI, and Anthropic, enabling customization with enterprise data for tailored model creation. In&nbsp;<a href="https://sp-edge.com/updates/28436">April 2024</a>, Databricks introduced its Data Intelligence platform for energy to use AI technology to process large data for energy companies. Following this, the company added synthetic data capabilities for AI agent evaluation in&nbsp;<a href="https://sp-edge.com/updates/37008">December 2024</a>.Notably, Lakehouse leverages NVIDIA technology for accelerated data processing and AI model generation. Databricks also offers industry-specific solutions like Databricks Lakehouse for Healthcare, Financial Services, Retail, and Manufacturing.Databricks has expanded its offerings through multiple acquisitions, including MosaicML (<a href="https://sp-edge.com/updates/19683">July 2023</a>), Arcion (<a href="https://sp-edge.com/updates/23041">October 2023</a>), Okera (<a href="https://sp-edge.com/updates/18197">May 2023</a>), and Datajoy (October 2022).&nbsp; Key customers and partnershipsAs of November 2024, Databricks served a global customer base of more than 10,000 organisations, including Comcast, Conde, DuPont, Honeywell, Rolls-Royce, Shell, and Tata Steel.Databricks collaborates with over 1,200 global cloud, ISV, and consulting partners to deliver data, analytics, and AI solutions, supporting customers in scaling their projects.Notable partnerships include collaboration with AWS in&nbsp;<a href="https://sp-edge.com/updates/34884">October 2024</a> to leverage AWS Trainium chips as the preferred AI chip to power Databricks' Mosaic AI model training and serving capabilities.&nbsp;Databricks also partnered with Karini AI in&nbsp;<a href="https://sp-edge.com/updates/33687">September 2024</a> to accelerate GenAI deployment for enterprises.&nbsp;

Databricks

Labelbox offers a data-centric AI platform for enterprises, enabling them to develop, optimize, and use AI to solve complex problems and power new products and services.&nbsp;&nbsp;Labelbox’s platform offers capabilities for building, optimizing, training, fine-tuning LLMs, and AI-enabled data labeling automation.&nbsp;Its products include&nbsp;1) Catalog: A platform for building AI applications with features such as advanced search capabilities and optimizing data for labeling budgets2) Annotate: A data labeling solution designed to streamline and accelerate labeling operations using automation tools and pre-labeling techniques(3) Model: Offers tools for data enrichment, model-assisted labeling, and custom Foundry Apps to automate data management tasks and improve AI model performance&nbsp;&nbsp;(4) Boost: Offers fully managed tailored solutions such as on-demand data labeling services to enhance AI development speed and efficiency.&nbsp;As such, Labelbox enables companies to streamline the fine-tuning and alignment of LLMs and enables the validation of outputs through techniques such as reinforcement learning with human feedback (RLHF), reinforcement learning from AI feedback (RELIEF), and evaluation. This incorporation of human expertise ensures more accurate, contextually relevant, trustworthy, and secure results from LLM systems.The platform is offered through a SaaS subscription model with packages ranging from free subscriptions with limited usage and custom pricing for enterprises.Key customers and partnershipsThe firm's solutions have use cases across diverse industries, including retail, consumer internet, healthcare, manufacturing, and financial services. Labelbox has a large portfolio of customers, including NASA's Jet Propulsion Laboratory and Blue River Technology, a smart AgriTech company that used Labelbox's model-assisted labeling suite to enhance its See &amp; Spray technology in smart agriculture, resulting in herbicide cost savings of 70%–80. Labelbox's customers also include several Fortune 500 companies, such as Walmart, P&amp;G, Audi Adobe, Airbnb, Bayer, and Bosch.Key partnerships include a long-term collaboration with <a href="https://sp-edge.com/updates/21770">Google Cloud </a>to facilitate digital transformations in retail, consumer internet, financial services, and manufacturing and logistics.&nbsp;

Labelbox

Integrated solutions that handle various processes such as model training, fine-tuning, model deployment, monitoring, and maintenance in working with and deploying LLMs

Platforms that provide hardware such as high-performance CPUs, GPUs, or TPUs, including cloud-based solutions that are commonly used to train and run GenAI models efficiently

Platforms that assist with fine-tuning pre-trained GenAI models or custom models tailored to specific use cases. Includes services that train models from scratch or use existing models

Platforms that store and retrieve training data in vector databases for access during the model training phase

Services to deploy GenAI models (on-premises or cloud-based) into production environments and integration tools to support existing systems and workflows

Ongoing monitoring of GenAI models to ensure performance. Includes regular model retraining, performance optimization, and troubleshooting

Platforms that assist in designing and refining prompts or instructions to GenAI models to get the desired responses or outcomes

Platforms that enable safe, responsible, and ethical GenAI deployment, ensuring compliance with regulations and/or protection against GenAI-based cybersecurity threats.

All services offered by these companies provide support to AI/ML

NLP is a key component of generative AI which is the core focus of this hub.

All companies within this space are offering infrastructure for generative AI

Generative AI infrastructure hub covers companies that deploy and run these foundation models.

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