MIG Capital is one of the leading German VC Investors. We invest in European Deep Tech and Life Sciences from early to late stage (Seed, Series A, and beyond). We use investments to shape a better tomorrow, today.  Our team currently manages 17 MIG public venture capital funds regulated by BaFin, the German financial markets authority. These funds operate with more than EUR 1.2 billion capital committed by >60,000 private investors across Germany and Austria. Today, our portfolio consists of 30 companies.

MIG Capital

Matterwave Ventures invests in early-stage industrial hardware and software companies, empowering them to become global leaders. The company's solutions are those that will influence how value will be created in industry in the future. Matterwave Ventures, as sector-neutral investors, is on the lookout for ground-breaking hardware and software solutions, including materials, components, systems, and software. With a sincere interest in their products, extensive market knowledge, solid connections in the industry, and unmatched investment expertise in the field, Matterwave Ventures supports the companies in its portfolio.

Matterwave Ventures

Invest-NL

Delft Enterprises participates in innovative, early stage and technology-based spin off companies of Delft University of Technology.

Delft Enterprises

EISMEA is managing all the activities of the European Innovation Council and programs related to small and medium-sized enterprises. The Agency is responsible for developing and implementing the European Innovation Council and manages other EU programs in the fields of SME support, innovation ecosystems, single market, consumer policy, and interregional innovation investments. It was founded in 2014 and is located in Brussels, Belgium.

European Innovation Council and SMEs Executive Agency

MIG Capital is  an investment management company.The Company manages equity and real estate, as well as offers portfolio management and advisory services.MIG Capital serves customers in the State of California.

The European Innovation Council aims to support top-class innovators, entrepreneurs, small companies, and researchers with bright ideas. The EIC co-invests alongside private investors in early-stage startups that have ESG impacts.

European Innovation Council

Innatera

Innatera is a trailblazing developer of ultra-low power intelligence for sensors. Incorporated in 2018 as a spin-off from the Delft University of Technology, it develops a line of neuromorphic processors that mimic the mechanisms the brain uses for sensory perception. Using a radically new continuous-time analog-mixed signal processing architecture, Innatera’s chips allow sensor data to be processed 100x faster and with up to 500x lesser energy than with conventional processors.

Innatera is a Dutch nanotech company which produces analog-mixed signal computing circuits that mimic the brain’s functions for pattern recognition to deliver faster AI per watt. As per the company, its neuromorphic processing chip allows sensor data to be processed 100 times faster with up to 500 times less energy than traditional processors.

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

Edge Computing

Innatera is a Dutch startup specializing in ultra-low power neuromorphic processors for sensor edge applications. Founded in 2018 as a spin-off from the Delft University of Technology, the company develops microprocessors that mimic the brain's mechanisms for processing sensor data. Innatera's flagship product, the Spiking Neural Processor T1, was unveiled in January 2024. This neuromorphic microcontroller incorporates a proprietary event-driven computing engine alongside a conventional CNN accelerator and RISC-V CPU, designed to enable energy-efficient AI for sensor-edge applications. The T1 processor leverages spiking neural networks (SNNs), which are event-based neural networks that closely emulate the brain's processing mechanisms. This approach allows for rapid pattern recognition and complex signal processing in sensor data while consuming significantly less power than traditional processors. Innatera claims its chips can process sensor data up to 100 times faster and with up to 500 times less energy compared to conventional processors. The company's technology is particularly suited for applications in wearables, smart home devices, and consumer electronics, where power constraints are a critical factor. Innatera's focus areas include audio (sound and speech recognition), health (vital signs monitoring), and radar (for consumer/IoT use cases). The Spiking Neural Processor T1 is scheduled to enter production in late 2024, with high-volume deliveries expected to start in Q2 of 2025.

Innatera unveils its groundbreaking ultra-low power neuromorphic microcontroller at CES 2024

Dutch Innatera raises €15 million for mass production of processor that mimics human brain

Dutch startup Innatera Nanosystems raises €5 million

Neuromorphic Company Innatera Attracts $21M in Series A Funding - High-Performance Computing News Analysis

Innatera's Neuromorphic AI Chip to Accelerate Spiking Neural Networks

Innatera Raises $21M in Series A Funding

based Innatera secures additional €4.6M

Innatera Raises €15M in Series A Funding

The AI chip hype rolls on: Innatera raises €15m

Innatera raises $21m for neuromorphic processing

Innatera: Shaping the Future of Neuromorphic Computing for the Sensor Edge

based neuromorphic AI chipmaker Innatera raises €15m from Invest

Innatera attracts $21m in oversubscribed Series A funding

Ultra low power intelligence for the sensor edge.

Innatera Unveils Neuromorphic AI Chip to Accelerate Spiking Networks

Neuromorphic processor startup Innatera raises $21m

Reinventing how computers think based on biological neural networks

Neuromorphic Computing

Innatera: Ultra-Low Power Neuromorphic Processor Company Raises $21 Million

Innatera is a Dutch nanotech company which produces analog-mixed signal computing circuits that mimic the brain’s functions for pattern recognition to deliver faster AI per watt. As per the company, its neuromorphic processing chip allows sensor data to be processed 100 times faster with up to 500 times less energy than traditional processors.This enables a range of applications, such as intelligent speech processing in human-machine interfaces, monitoring vitals in wearable devices, recognizing targets in radars and lidars, and detecting faults in industrial and automotive applications.In November 2020, the company raised EUR 5 million (approximately USD 5.9 million) in seed funding. It intends to use the funds to boost research and development and expand its team to increase product development efforts throughout 2021. As of November 2020, the company had around 15 employees at its Delft headquarters and is in the process of setting up a design center in Bangalore, India.

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

Innatera is a Dutch startup specializing in ultra-low power neuromorphic processors for sensor edge applications. Founded in 2018 as a spin-off from the Delft University of Technology, the company develops microprocessors that mimic the brain's mechanisms for processing sensor data. Innatera's flagship product, the Spiking Neural Processor T1, was unveiled in January 2024. This neuromorphic microcontroller incorporates a proprietary event-driven computing engine alongside a conventional CNN accelerator and RISC-V CPU, designed to enable energy-efficient AI for sensor-edge applications. The T1 processor leverages spiking neural networks (SNNs), which are event-based neural networks that closely emulate the brain's processing mechanisms. This approach allows for rapid pattern recognition and complex signal processing in sensor data while consuming significantly less power than traditional processors. Innatera claims its chips can process sensor data up to 100 times faster and with up to 500 times less energy compared to conventional processors. The company's technology is particularly suited for applications in wearables, smart home devices, and consumer electronics, where power constraints are a critical factor. Innatera's focus areas include audio (sound and speech recognition), health (vital signs monitoring), and radar (for consumer/IoT use cases). The Spiking Neural Processor T1 is scheduled to enter production in late 2024, with high-volume deliveries expected to start in Q2 of 2025.

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

<div>
 Innatera, a Dutch nanotech firm, has garnered USD 21 million in a Series A funding round. This total comprises USD 16 million raised in March 2024 from stakeholders such as EIC Fund, MIG Capital, Matterwave Ventures, and Delft Enterprises, in addition to USD 5 million led by Innavest and InvestNL.
 The capital will hasten the large-scale production of Innatera's Spiking Neural Processor T1, a neuromorphic processor with ultra-low-power. This processor was announced in January 2024 and is aimed at sensor-edge AI applications.
 The company's neuromorphic processors offer energy-saving AI computation at the sensor Edge, asserting to use 500x less energy and operate 100x faster compared to traditional processors. Innatera strives to supply its processors to 1 billion devices by the end of the decade.
</div>

Innatera

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