indie is empowering the Autotech revolution with next generation automotive semiconductors and software platforms. We focus on edge sensors for Advanced Driver Assistance Systems including LiDAR, connected car, user experience and electrification applications. These technologies represent the core underpinnings of both electric and autonomous vehicles, while the advanced user interfaces transform the in-cabin experience to mirror and seamlessly connect to the mobile platforms we rely on every day. We are an approved vendor to Tier 1 partners and our solutions can be found in marquee automotive OEMs around the world. They set out to bring the benefits of custom design to the users of microcontrollers in order to build chips that are perfectly optimized for each individual application.

indie Semiconductor

Expedera

Expedera provider of scalable neural engine semiconductor IP.

Expedera provides scalable Neural Processing Unit (NPU) semiconductor intellectual property (IP) for edge AI inference applications. The company's flagship product line, Origin, offers neural engine IP solutions designed to improve performance, power efficiency, and latency while reducing costs and complexity in AI processing. Expedera's NPU architecture utilizes a unique packet-based approach, which enables parallel execution across multiple layers and eliminates the need for hardware-specific optimizations. This allows customers to run trained neural networks without reducing model accuracy.

Expedera Expands Global Footprint with Its First European Development Center

Expedera raises $20m in funding round led by indie Semiconductor

Expedera NPUs Run Large Language Models Natively on Edge Devices

Expedera Raises $20M Series B Funding Round Led By indie Semiconductor

indie Semiconductor Announces Strategic Investment in Expedera to Enhance ADAS Capabilities

indie Semiconductor Announces Strategic Investment in AI Processor Leader Expedera

Expedera, Inc

About Us

indie invests in Expedera to target AI-assisted ADAS

Reinventing how computers think based on biological neural networks

Neuromorphic Computing

Expedera is a semiconductor company that specializes in developing high-performance and energy-efficient Neural Processing Unit (NPU) IP for AI inference applications.

Empowering Tomorrow's Innovations with Generative AI Infrastructure

Generative AI Infrastructure

Expedera Appoints Siyad Ma as New CEO to Drive Expansion, Innovation

Expedera provides scalable Neural Processing Unit (NPU) semiconductor intellectual property (IP) for edge AI inference applications. The company's flagship product line, Origin, offers neural engine IP solutions designed to improve performance, power efficiency, and latency while reducing costs and complexity in AI processing. Expedera's NPU architecture utilizes a unique packet-based approach, which enables parallel execution across multiple layers and eliminates the need for hardware-specific optimizations. This allows customers to run trained neural networks without reducing model accuracy.
Expedera's Origin NPUs support generative AI on edge devices, including native support for large language models (LLMs) and stable diffusion. The Origin product family scales from three GOPS to 128 TOPS per core, with options for up to PetaOps performance. Expedera claims its NPUs can achieve up to 18 TOPS/W and TOPS/mm², with processor utilization averaging 80% compared to the 20-40% industry norm. The company's solutions have been deployed in over 10 million consumer devices.
Expedera's NPU IP is designed for applications including smartphones, automotive advanced driver assistance systems (ADAS), virtual/augmented reality devices, smart home technology, industrial automation, and entertainment systems. The company offers multiple product lines tailored for different performance needs, from the low-power E1 series for always-on applications to the high-performance E8 series for automotive and data center use cases.

MemComputing, founded in San Diego, has developed a novel computing technology aimed at solving complex optimization problems across various industries. The company's proprietary MemCPU Platform combines processing and memory to deliver high-performance computing capabilities for applications in optimization, Big Data analytics, and machine learning. MemComputing's approach is based on a physics-inspired computing paradigm that utilizes non-quantum dynamical systems with memory to process information.
The technology behind MemComputing was invented by Fabio Lorenzo Traversa and Massimiliano (Max) Di Ventra, who sought to design a computer from a physics perspective. Their innovation led to the creation of digital memcomputing machines (DMMs), which are designed to solve combinatorial optimization problems efficiently. DMMs can be realized through electrical circuits or simulated on traditional computers.
MemComputing's solutions have demonstrated significant advantages in solving hard problems. For instance, the company reported finding feasible solutions within minutes for a problem from the MIPLIB 2010 library whose feasibility had remained unknown for eight years. In another case, MemComputing's technology solved a problem in 1.5 hours that would have taken the world's fastest supercomputers significantly longer to solve.
The company's first product, the MemCPU Extreme Performance Computing (XPC) SaaS, is being used by companies in the Global 2000 to address large-scale optimization challenges. MemComputing's approach has shown promising results in various applications, including prime factorization, Boolean satisfiability problems, and restricted Boltzmann machine training.

MemComputing

MemryX Inc. is a fabless semiconductor company that specializes in designing edge AI processing solutions. Founded in 2019, the company focuses on accelerating artificial intelligence (AI) processing for edge devices through its proprietary compute-at-memory technology and dataflow architecture. MemryX's flagship product, the MX3 AI Accelerator, is designed to be an efficient and easy-to-use solution for edge AI applications. The MX3 can be integrated into various edge computing systems, offering scalable AI capabilities for industries such as automotive, robotics, IoT, smart vision systems, and edge computing.
The MX3 AI Accelerator features MemryX Compute Engines (MCE) that are tightly coupled with at-memory computing, creating a native dataflow architecture that utilizes up to 70% of the chip with just one click. This design allows developers to compile any trained AI model with a single click, achieving optimized model performance with high utilization (>50%) and full accuracy within minutes. The MX3 supports multiple AI frameworks, including TensorFlow, TensorFlow Lite, ONNX, PyTorch, and Keras, and can run hundreds of unaltered AI models efficiently.
In terms of performance, the MX3 offers more than five TFLOPs of computing power while consuming approximately one watt of power. It supports BFloat16 activations and can handle weights of 4, 8, and 16 bits. The chip can store about 10 million parameters on-die and interfaces with host systems through PCIe Gen 3 I/O and/or USB 2.0/3.x. MemryX offers the MX3 in various form factors, including bare die, single-die package, and modules (mini PCIe or M.2) with one or more MX3 chips.
As of December 2023, MemryX announced the availability of production-level silicon for its MX3 AI Accelerator, with volume production expected to start in 2023. The company has showcased various demonstrations of the MX3's capabilities, including multi-stream AI-enabled video management systems, AI-powered PCs, threat and weapons detection for public spaces, and smart city traffic management solutions.
Key customers and partnerships
MemryX has formed partnerships with several companies to showcase and integrate its AI acceleration technology. In February 2023, MemryX announced a partnership with Edge Impulse, an AI-algorithm software provider, to streamline the development, testing, and deployment of AI models on MemryX's AI accelerator chips. This collaboration aims to simplify the process of creating and implementing AI solutions for edge devices.
The company has also worked with Cachengo to develop an intelligent edge platform for real-time threat detection in public spaces. Additionally, MemryX has partnered with Fracctal to demonstrate smart city traffic management capabilities powered by the MX3 AI Accelerator.

MemryX

Nepes Corporation is a South Korean company specializing in Outsourced Semiconductor Assembly and Test (OSAT) services. The company provides a comprehensive range of semiconductor packaging design and manufacturing services to global electronics industry clients. Nepes offers various packaging solutions, including wafer level packaging, fan-out wafer level packages, and panel level packaging. In 2020, Nepes acquired factory assets from Deca Technologies, establishing itself as a key player in advanced packaging technologies. The company has implemented Deca's M-Series fan-out technology and Adaptive Patterning real-time EDA ecosystem, enabling it to build the industry's first 600mm large panel M-Series factory in South Korea.
Nepes has expanded its IC packaging capabilities to address the challenges of developing advanced 3D IC packages. The company leverages a range of industry-leading solutions from Siemens EDA, including the Calibre nmPlatform tool, HyperLynx software for electrical rule checking, Calibre 3DSTACK software, Xpedition Substrate Integrator software, and Xpedition Package Designer software. These technologies enable Nepes to provide fast and reliable design services, including 2.5D/3D-based chiplet designs for its growing base of global IC customers.
Key customers and partnerships
Nepes has established partnerships with several prominent companies in the semiconductor industry. The company entered into a technology transfer and licensing agreement with Deca Technologies in 2020, enabling it to implement advanced packaging technologies. Nepes also collaborates with SAPEON Korea, providing them with comprehensive semiconductor packaging design and manufacturing services. Additionally, Nepes has extended its relationship with Siemens Digital Industries Software, leveraging their EDA technologies to enhance its packaging design capabilities and serve mutual customers more effectively.

Nepes

Symetrix Corporation specializes in developing technology for the semiconductor industry. The company's innovations find applications across various sectors, including communications, data acquisition, and measurement devices. Symetrix's technology serves as a crucial component in the advancement of semiconductor capabilities, contributing to the evolution of diverse electronic systems. The company's focus on memory technology suggests a significant role in enhancing data storage and processing capabilities within the semiconductor field.

Symetrix

Syntiant is a deep learning chip technology company founded in 2017 and headquartered in Irvine, California. The company specializes in developing ultra-low-power, high-performance deep neural network processors called Neural Decision Processors (NDPs) for edge AI applications. Syntiant's technology combines deep learning with semiconductor design to enable AI functionality in battery-powered devices without relying on cloud connections.
Syntiant's NDPs are designed to execute deep neural networks natively on various topologies, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and fully connected networks. The company's chips typically offer 100x efficiency improvement and a 10x increase in throughput compared to traditional low-power microcontroller-based solutions. This allows for larger networks at significantly lower power consumption, extending battery life and reducing infrastructure costs.
The company's product lineup includes the NDP100, NDP101, NDP200, and NDP115 processors. The NDP200, built on the Syntiant Core 2 architecture, provides 25 times the tensor throughput of the Syntiant Core 1 found in the NDP100. The latest NDP115, introduced at CES 2023, is designed for ultra-power and size-constrained applications, capable of running speech inferences at 280 microwatts.
Syntiant has achieved significant milestones in its short history. By January 2021, the company had shipped over 10 million of its NDP100 and NDP101 processors. This number increased to more than 20 million processors shipped by March 2022. As of May 2023, Syntiant has expanded its offerings to include hardware-agnostic deep learning computer vision models that can be deployed on various platforms, including the Renesas RZ/V2L microprocessor.
Key customers and partnerships
Syntiant's technology has found applications across various industries and devices. The company's Neural Decision Processors are being used in earbuds, wearables, smartphones, smart speakers, laptops, vehicles, and other IoT consumer and industrial use cases.
Syntiant has established partnerships with several prominent companies in the tech industry. In July 2021, Syntiant announced a collaboration with Renesas Electronics Corporation for a voice-controlled multimodal solution combining Renesas' RZ/V Series MPUs and Syntiant's NDP120 Neural Decision Processor. This partnership aims to enable low-power contactless operation for image processing in vision AI-based IoT and edge systems.
The company has also worked with Infineon Technologies, signing a smart microphone reference design agreement in 2018. This collaboration aimed to complement Syntiant's NDPs with Infineon's high-performance microphone technology.

Syntiant

Develop neural network hardware, including chipsets and circuits

Software companies that offer tools that can be used to develop neuromorphic AI algorithms and solutions

Develop software solutions to can be used to design neural networking tools, or offer neural networking solutions directly to users

Software companies that apply neuromorphic computing for visual AI tools and applications

Companies that develop and offer solutions that incorporate Neuromorphic-based AI technology

AI/ML enables neuromorphic computing to be applied to artificial neural networks and provide functional outcomes

Expedera is a semiconductor company that specializes in developing high-performance and energy-efficient Neural Processing Unit (NPU) IP for AI inference applications.Its flagship product is the Origin deep learning accelerator IP, which features a unique packet-based architecture designed to reduce memory requirements and processing overhead significantly.The Origin NPU IP Supports various neural network types, including RNN, CNN, LSTM, LLM, and others, without needing hardware-specific optimizations or changes to trained models. And it can be customized to specific application requirements, from edge nodes and smartphones to automotive and data centers.Key customers and partnershipsIn March 2024, Indie Semiconductor announced a strategic investment and commercial agreement to integrate customized Origin NPUs into its ADAS chip portfolio. The partnership aims to deliver class-leading AI performance up to 100+ TOPS per core at ultra-low power for sensing applications like lane keep assist and emergency braking.Funding and FinancialsIn <a href="https://sp-edge.com/updates/29755">May 2024</a>, Expedera secured USD 20 million in a Series B financing led by indie Semiconductor. The funding was allocated to strengthen the company's NPU IP products and services and widen its engineering reach across the globe.Additionally, in December 2021, Expedera raised USD 18 million in a series A funding round to advance its deep learning accelerator IP

<div>
 
 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&rsquo; 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 capabilities
 
 
 2. 
 NR1-M&trade; 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 architecture
 
 
 The 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 partnerships
 
 
 In 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.
 
 
 Funding and financials
 
 
 In 
 <a href="https://sp-edge.com/updates/27745">
 March 2024
 </a>
 , NeuReality secured USD 20 million in funding led by The European Innovation Council (EIC) Fund. The funds were intended to accelerate the deployment of NeuReality&rsquo;s NR1AI Inference Solution.
 
 
 In December 2022, it secured USD 35 million in a Series A funding round led by Samsung Ventures, with Cardumen Capital, Varana Capital, OurCrowd, XT Hi-Tech, and others as participants. The funding was used to launch its flagship AI inferencing solution.
 
</div>

NeuReality

<div>
 
 Accubits is an AI and BLOCKCHAIN focused development and solutions company based in Washington DC with its development offices in India and Dubai. Pioneering as a custom Blockchain solutions provider delivering solutions ever since 2012, Accubits is one of the oldest and experienced Blockchain dev house in the market and is featured as one among the top 13 Blockchain companies in India by INC42. We are a big family of engineers, innovators, inventors and many others continually working to help our customers in leveraging their business and adding value to their lives. Over the past 6 years, We have delivered more than 600 projects, for over 200 clients worldwide. Several of Fortune 500 companies in sectors from Retail to Health are being powered by our solutions to streamline and leverage their growth.Our portfolio for AI solutions includes intelligent conversational tools, RPAs, CRMs, SIPs, real-time video and image analytics systems, state of the art ALPR systems and many more being used enterprises, startups across North America, Canada, Middle East, Hong Kong, Singapore, Indonesia, India &amp; Sweden. Our portfolio of Blockchain development includes custom DApps and smart contracts, crypto token and exchange development, integrated blockchain services and ICO platforms.
 
</div>

Accubits

<div>
 
 LeewayHertz is a leading software development company delivering tailor-made digital solutions to businesses worldwide. Our team of 250+ full-stack developers, designers and innovators has designed and developed 100+ digital solutions across industry verticals. As a close-knit team of AI and web3 experts, designers and full-stack developers, we undertake collaborative research and development to create next-gen applications and solutions perfectly suited to the evolving tech space. As a technology pioneer with deep knowledge and expertise in AI, blockchain and other advanced technologies like IoT, LeewayHertz believes in helping companies overcome their most complex tech challenges and drive business growth. Our motto, &lsquo;You Dream It: We Build It,&rsquo; reflects our business philosophy. From putting flesh on your idea to delivering the expected end product, we do whatever it takes to make your project successful. Having worked with 30+ top fortune 500 companies and created various on-demand solutions, we boast an impressive work portfolio demonstrating our expertise.
 
</div>

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.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.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.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). Key customers and partnershipsAs of July 2023, Databricks served a global customer base of approximately 10,000, including notable customers such as Comcast, DuPont, Honeywell, Rolls-Royce, Shell, and Tata Steel.Notable partnerships include collaboration with NVIDIA to incorporate NVIDIA TensorRT-LLM into its inference service and a partnership with Hevo-Data to automate data integration into the lakehouse for mutual customers (October 2022).Databricks also partnered with Karini AI to accelerate GenAI deployment for enterprises (<a href="https://sp-edge.com/updates/33687">September 2024</a>)Databricks also provides an LLM Mesh partner program; it has partnered with firms such as <a href="https://sp-edge.com/updates/24218">Dataiku </a>where an emphasis is placed on comprehensive data access, enabling tight integration of GenAI applications with enterprise data.

Databricks

<div>
 
 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&rsquo;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 budgets
 
 
 2) 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 partnerships
 
 
 The 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%&ndash;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.
 
 
 Funding and financials
 
 
 In January 2022, the firm raised USD 110 million in Series D funding led by SoftBank's Vision Fund 2. The company planned to utilize the funds to finance company expansion.
 
 
 
</div>

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 develop and implement strategies, policies, and practices to ensure the responsible, secure, ethical, and safe use of Generative AI technologies within an organization.

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.

ANALYST_QUICK_TAKE

<div>

Expedera, a company offering customizable Neural Processing Unit (NPU) semiconductor IP, has raised USD 20 million in Series B financing led by indie Semiconductor.
This investment will be utilized to improve the company's NPU IP products and services, and extend its engineering outreach worldwide.

</div> Analyst QuickTake: 
 This funding marks a significant achievement for Expedera since it launched the Origin NPU in <a href="https: 
//sp-edge.com/updates/25257"> January 2024, </a> which supports LLMs, including stable diffusion, and enhances natural language processing capabilities.

Expedera

Sources

About EDGE

Contact Us

Resources

Area of Focus

Technology Research Made Effortless