Innatera Nanosystems

Innatera Nanosystems

In vitro mucus model for antibiotics

Overview

Innatera Nanosystems develops a human mucus model to replicate different mucus conditions, both normal and diseased, for microbiology research. Its product provides a 3D substrate that hosts bacteria, allowing the creation of infection-like environments in vitro. This enables high-throughput and reproducible testing of antibiotics and other bacteria-modulating drugs. Unlike traditional flat media, its mucus-based model aims to better mimic the human body so drug discovery can be more accurate and efficient. The company’s goal is to transform microbiology by offering realistic, scalable mucus environments that improve the discovery and testing of antibiotics.

About Innatera Nanosystems

Simplify's Rating
Why Innatera Nanosystems is rated
C+
Rated C on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Biotechnology

Healthcare

Company Size

51-200

Company Stage

Series A

Total Funding

$29M

Headquarters

Rijswijk, Netherlands

Founded

2018

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Simplify's Take

What believers are saying

  • Joya’s Pulsar-powered consumer module debuted at AWE Shanghai 2026, signaling productization.
  • Socionext’s presence-detection demo exceeded 99% accuracy under one milliwatt in February 2026.
  • Synopsys adopted Innatera’s design flow in March 2026, validating the silicon roadmap.

What critics are saying

  • Neuromorphic adoption still depends on customer pilots converting into volume orders by 2027.
  • Synfire’s open ecosystem invites faster rivals, especially SNN toolchain vendors and RISC-V startups.
  • If Pulsar misses design wins, Innatera remains a niche demo company.

What makes Innatera Nanosystems unique

  • Pulsar, launched in 2025, is Innatera’s commercial neuromorphic MCU for sensor-edge AI.
  • Synfire, launched April 2026, standardizes spiking models across tools, benchmarks, and devices.
  • Partnerships with Joya, Byte Lab, Socionext, and 42T prove deployment-focused differentiation.

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Funding

Total Funding

$29M

Below

Industry Average

Funded Over

4 Rounds

Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Below Average

Industry standards

$15M
$5M
Innatera Nanosystems
$8.2M
Discord
$15M
Canva
$30M
Kalshi

Benefits

Pension plan

Remote Work Options

Flexible Work Hours

Unlimited Paid Time Off

Holiday scheme

Office perks like fresh fruit, snacks, and an on-site gym

Compensation for commuting to the office

Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↑ 3%

2 year growth

↑ 3%
Ascendify Matrix Pvt. Ltd.
Sep 21st, 2026
Innatera brings neuromorphic AI to real-world devices.

Innatera brings neuromorphic AI to real-world devices. September 21, 2026 Innatera is a Netherlands-based semiconductor company pioneering neuromorphic computing for ultra-low-power intelligence at the sensor edge. Spun out of Delft University of Technology in 2018, the company develops brain-inspired processors that enable devices to sense, interpret, and respond to real-world signals in real time. At the same time, its technology minimizes energy consumption and helps preserve data privacy by enabling intelligence closer to where data is generated. Electronic Components Discover more Geographic Reference Manufacturing At the heart of Innatera's technology portfolio is its flagship Pulsar neuromorphic microcontroller. It combines event-driven Spiking Neural Networks (SNNs), a RISC-V CPU, CNN acceleration, and multiple sensor interfaces to deliver always-on edge AI with significantly greater energy efficiency. The platform is designed for applications spanning consumer electronics, smart homes, industrial systems, wearables, robotics, and intelligent sensors. By bringing intelligence directly to the sensor edge, Innatera aims to make connected devices faster, more efficient, and increasingly autonomous. In an exclusive conversation with The Interview World at SEMICON India 2026, Shreyas Derashri, Chief Commercial Officer at Innatera, discussed the company's neuromorphic chips, their applications, and key real-world use cases. He also shared insights into the commercialization of neuromorphic computing in India and outlined Innatera's strategy for building a stronger ecosystem around the technology. Business & Corporate Law Derashri highlighted the company's developer program and its partnerships with Indian universities and IITs, which are aimed at accelerating neuromorphic innovation while developing the next generation of semiconductor and AI talent. He further discussed Innatera's innovation strategy and technology roadmap for the next three to five years. Discover more Neuroscience Computer Science Business Formation Here are the key takeaways from this compelling conversation. Q: Could you elaborate on the neuromorphic chips Innatera has developed, their key architectural features, and the specific applications and use cases they are designed to address? A: Innatera is developing neuromorphic microcontrollers (MCUs) that enable devices to make sense of data directly from their sensors. Sensors are now everywhere. Most modern devices contain anywhere from a few to dozens of them, continuously generating streams of real-world data. Machine Learning & Artificial Intelligence Yet much of this sensor data remains unused. When it is processed, devices often rely on high-end application processors or send the data to GPUs for computation. That approach can deliver powerful AI capabilities, but it comes with a significant energy cost. As AI moves closer to the edge and becomes embedded in increasingly small and power-constrained devices, this model is difficult to sustain. Innatera addresses this challenge with a brain-inspired, neuromorphic microcontroller designed to process sensor data locally and extract meaningful insights with extremely low power consumption. The MCU can connect to multiple sensors, process their signals directly, and identify relevant information without relying on a powerful external processor or the cloud. Psychology Consider a microphone as a simple example. A device may need to detect a specific keyword, much like the wake words used by Alexa or Siri. It could then interpret a command, such as asking an air conditioner to increase or decrease the temperature. With Innatera's approach, these capabilities can run directly on the device. The system can continuously analyze sensor inputs, recognize meaningful patterns, and respond in real time - all while consuming very little power. Discover more Most importantly, the intelligence stays at the edge. Devices can understand and act on sensor data without constantly sending information to cloud infrastructure. This reduces power consumption, minimizes connectivity requirements, and enables a new generation of responsive, always-on intelligent devices. Electronics & Electrical Q: Have you already commercialized your neuromorphic chips in India? A: Yes, The Interview is already in production. The chip is commercially available, and The Interview launched it last year. Since then, The Interview has been working with several partners in India to bring the technology into real-world applications. One example is Aumnatic, with whom The Interview is developing the next-generation toy platform. The platform uses its chip for localized radar processing as well as audio processing. This enables the system to perform key sensing and processing functions directly on the device. Engineering & Technology Discover more Psychology Data Management Engineering & Technology The Interview is also working with Aaroh Labs, a Pune-based company that is developing the next generation of smart smoke detectors. Their solution can identify different types of smoke in a room and, importantly, estimate how many people are present. That capability becomes particularly valuable in the event of a fire. The system can identify the nature of the smoke and determine whether people are present in the room, along with an approximate count. This information can help provide a more complete picture of the situation and support a faster response. The key requirement for Aaroh Labs was equally important: they wanted the device to operate for five years on a single battery. That is where its technology becomes particularly valuable. Its highly efficient processing architecture enables these advanced sensing capabilities while keeping power consumption extremely low, making long battery life a practical reality. Dictionaries & Encyclopedias Q: How do you see your developer program and partnerships with Indian universities and IITs accelerating neuromorphic innovation, talent development, and adoption of next-generation applications in India? A: The Interview has been working closely with the founders of Innatera as well as its senior executive team to build a strong presence in the Indian market. As an India-based team, The Interview bring an extensive network of industry and academic relationships. The Interview has already established strong engagement with a wide range of educational institutions across the country. Building on that foundation, The Interview has now launched a developer program in partnership with VLSI Expert in India. Through this initiative, The Interview is placing its development platforms within a growing network of educational and research institutions. These platforms are designed specifically for universities, including IITs across India. Students and researchers can use them to develop and experiment with next-generation applications, gaining hands-on experience with the technology and its potential use cases. This developer-led approach is central to its strategy for entering and expanding in the Indian market. By putting the technology directly into the hands of universities, researchers, and students, The Interview is building an ecosystem that can drive innovation and accelerate the development of next-generation applications. Chips & Processors Q: What is your innovation strategy and roadmap for the next three to five years? A: The Interview want to push its research further into brain-inspired AI because the human brain remains the most energy-efficient intelligent system on the planet. It can perform extraordinarily complex tasks using roughly 20 watts of power, a level of efficiency that today's data centers cannot match. That efficiency is the inspiration behind its approach. The Interview aim to understand and translate the fundamental principles of the brain into new AI architectures that deliver intelligence with dramatically lower power consumption. Ultimately, its goal is ambitious and measurable: to make one billion sensors intelligent by 2030.

Griffin360
Jun 30th, 2026
Innatera brings Physical AI to life at MWC Shanghai 2026.

Innatera brings Physical AI to life at MWC Shanghai 2026. June 30, 2026 Innatera, the leader in neuromorphic processors for the sensor edge, today announced its participation at MWC Shanghai 2026, where the company will showcase how a new era of compute is enabling Physical AI. As China accelerates investment in intelligent devices, smart spaces, AI wearables, robotics, and on-device intelligence, the next competitive frontier moves beyond larger AI models to more efficient intelligence at the point where the physical world is sensed. As OEMs and ODMs look to bring always-on, context-aware experiences to one of the world's fastest-growing markets, demand is growing for ultra-low-power AI that can operate directly on-device. At MWC Shanghai, Innatera will showcase the Joya EdgeCore AI Audio Module, developed by Joya Design, an Innatera customer, and powered by the commercially available Pulsar neuromorphic microcontroller. This is the first end-side AI, multimodal, lightweight audio solution - the Baby Cry Translator - designed specifically to address the challenge of understanding infant cries. It provides a complete closed-loop system from cry collection, recognition, translation, to actionable suggestions, empowering consumers with science-based parenting support. "Across China, we are seeing a clear shift from connected products to truly intelligent products," says Liao Ke, Chairman of Joya Design. "Manufacturers are looking for solutions that can deliver responsive, context-aware experiences within strict power constraints. Innatera's neuromorphic approach opens up exciting new possibilities for the next generation of smart devices." At the heart of Innatera's showcase is Pulsar, the world's first mass-market neuromorphic microcontroller for the sensor edge. Commercially available today, Pulsar enables ultra-low-power AI for applications including audio intelligence, presence detection, gesture recognition, and contextual sensing. Supporting deployment is Talamo SDK, Innatera's software development kit, which helps developers build, optimize, and bring neuromorphic AI applications to market faster. "China is one of the most important markets in the world for the future of intelligent sensing," says Shreyas Derashri, Chief Commercial Officer at Innatera. "The speed at which companies here are moving from AI concepts to real products is remarkable, and it creates a major opportunity for a new class of compute. We are not here to talk about distant possibilities. We are here with commercially available technology, customer collaborations, and a clear ambition to help companies build the next generation of intelligent products." Visit Booth N3.F40 to see how neuromorphic computing is powering the next generation of intelligent devices. Book a meeting with the Innatera team to discover how early adopters of sensor-edge AI can gain a competitive edge.

Electronics Weekly
Jun 17th, 2026
Innatera hooks up with Cyran for AI-at-the-edge.

Innatera hooks up with Cyran for AI-at-the-edge. Innatera, the neuromorphic processor developer, and Cyran AI, a specialist in intelligent sensing and embedded AI, have expanded their collaboration aimed at accelerating the development of next-generation intelligent edge devices. The companies have already delivered an EMG-based application prototype. The expanded collaboration will broaden the scope of development efforts into additional ultra-low-power AI applications, including wearable devices, audio intelligence, and other advanced edge AI use cases. "Our partnership with Innatera has already demonstrated the potential of combining advanced sensing technologies with neuromorphic processing. As we expand our collaboration, we're excited by the opportunity that this new class of compute creates for edge AI," says Cyran's Vikrant Khazanchi, "together we're focused on developing practical AI solutions that can operate efficiently at the edge, enabling new experiences across wearables, intelligent sensing, and embedded AI applications." By combining Cyran's expertise in intelligent sensing systems with Innatera's neuromorphic processing technology, the partnership seeks to enable a new generation of devices capable of continuously sensing, interpreting, and responding to real-world signals while operating within stringent power constraints. "India is emerging as one of the world's most dynamic markets for intelligent, connected devices, creating tremendous opportunities for innovation at the edge," says Innatera's Shreyas Derashri, "by expanding our collaboration with Cyran AI, we're bringing together neuromorphic computing and application expertise to enable ultra-low-power AI solutions for next-generation sensing applications. Together, we're helping accelerate the adoption of practical, deployable edge AI technologies."

BISinfotech
Mar 26th, 2026
Innatera launches Synfire to unify the neuromorphic ecosystem and accelerate real-world Edge AI deployment.

Innatera launches Synfire to unify the neuromorphic ecosystem and accelerate real-world Edge AI deployment. 2 minutes read Innatera, a leader in neuromorphic computing for the sensor edge announced Synfire, an open, community-driven platform designed to unify and accelerate the neuromorphic ecosystem. The platform is open for registration and will be fully available in late April. Introduced at Edge AI San Diego 2026, Synfire addresses one of the most critical barriers to scaling neuromorphic AI: fragmentation across tools, models, and deployment pipelines. While neuromorphic hardware capabilities have rapidly matured, the path from research to real-world deployment still faces challenges due to a lack of interoperability, reproducibility, and standardized model exchange. Synfire directly tackles this challenge by providing a centralized, open repository for neuromorphic models and full processing pipelines. This enables developers to publish, discover, and deploy spiking neural network (SNN) solutions with significantly reduced friction. "Progress for neuromorphic networks follows a clear path. First, we make them usable by building the infrastructure, tools, and shared foundations that allow people to work with them. Then, we make them useful, enabling them to solve real problems, adapt to real environments, and deliver real impact," says Steve Furber, Professor Emeritus of Computer Engineering at the University of Manchester. "Creating a community-driven platform like Synfire, accelerates this transition by offering developers the opportunity to lead innovation in this space." Unlike general-purpose AI platforms, Synfire is purpose-built for neuromorphic computing. It supports the unique requirements of temporal, event-driven models and enables hardware-aware discovery, reproducibility metadata, and full pipeline packaging - from preprocessing and encoding to inference and actuation. "Synfire is how neuromorphic computing gets out of the lab. Current AI hardware was not built for real-world intelligence. Neuromorphic systems are, but only if models, benchmarks, and hardware can speak the same language," notes Dr. Jens Egholm, Lead Author for Neuromorphic Intermediate Representation and Neuromorphic Computing Researcher. "The Neuromorphic Intermediate Representation (NIR) provided that shared language. Synfire builds the commons on top of it. Upload once, run anywhere, reproduce everything, and build on each other's work to go further than before." A Platform Designed for Real Deployment Synfire introduces a new foundation for the neuromorphic community through: * Open model registry for publishing and discovering SNN-based solutions * Hardware-aware metadata to match models with validated execution targets * Web platform, CLI, and SDK integration for seamless developer workflows * Extensible architecture aligned with evolving standards such as NIR A Community-Led Effort to Drive Convergence Synfire is designed as a vendor-neutral open infrastructure, co-steered with broader industry and research communities. "We have made incredible progress in neuromorphic hardware and model design, but the surrounding ecosystem is still fragmented. There is no consistent way to capture how a model was built, how it should run, or where it has been validated," adds Petruț Antoniu Bogdan, Neuromorphic Architect at Innatera. "That makes reuse difficult and slows down real deployment. Synfire introduces structure to fill these gaps by standardizing how models are shared, while remaining flexible enough to evolve with the field. While perfecting the tools is a key milestone, our true goal is to build a coherent ecosystem that can efficiently build on top of published work and deploy to a variety of neuromorphic devices with minimal manual work, all the while maintaining the original model performance." Moving from Fragmentation to Scale Synfire is a fundamental shift in how neuromorphic systems are built, shared, and deployed, unlocking faster innovation across industries, including smart sensing, industrial automation, healthcare, and consumer devices.

EEJournal
Mar 25th, 2026
Joya Design takes neuromorphic chip from design to device with first innatera-powered consumer audio product at AWE china.

Joya Design takes neuromorphic chip from design to device with first innatera-powered consumer audio product at AWE china. Following the collaboration, Joya Design rapidly integrates Innatera's Pulsar chip into a new ready-to-deploy AI module Innatera, a leader in brain-like computing for ultra-low-power edge AI, and Joya Design, a national industrial design center, today announced that Joya Design has successfully developed its first Pulsar-powered AI module (Joya EdgeCore(R), marking a significant step forward in the real-world deployment of neuromorphic technologies. The new module will make its debut at AWE Shanghai 2026 (Appliance & Electronics World Expo), demonstrating how neuromorphic processing is moving beyond evaluation and into real product design. Engineered for portable smart products such as cribs, strollers, and other connected lifestyle devices, the module introduces advanced on-device audio intelligence built around Innatera's brain-inspired architecture. "With Innatera's Pulsar chip and development ecosystem, our teams moved seamlessly from concept to product," says Liao Ke, Founder of Joya Design. "The new module is designed to simplify integration for OEMs looking to add always-on intelligence without redesigning their entire system architecture. We see strong potential across baby monitoring, smart home accessories, and next-generation portable devices where responsiveness, privacy, and power efficiency must coexist." A new level of integration for neuromorphic audio intelligence for physical AI The Joya EdgeCore(R) module advances commercialization by turning neuromorphic innovation into a ready-to-integrate platform powered by Innatera's Pulsar microcontroller. It enables on-device contextual audio intelligence, with a debut baby-cry classification application showcasing nuanced awareness in compact, battery-powered products. By combining Joya's productization expertise with Innatera's event-driven architecture, the module gives OEMs a streamlined path to integrate intelligent sensing into next-generation consumer devices. "We introduced Pulsar with the vision of enabling a smarter and safer world with our ambient intelligence. This vision has turned into reality through Joya Design's innovative devices that impact our daily lives positively," says Sumeet Kumar, CEO of Innatera. "This module shows how brain-inspired architectures can transition rapidly from silicon innovation to shipping-ready platforms. Working with Joya Design allows us to bring neuromorphic AI into tangible products faster, delivering on our promise for a better, smarter future." Enabling OEMs to build the next generation of intelligent consumer devices Joya Design's Pulsar-based module reflects a shift toward integrated AI building blocks that help OEMs accelerate development while adding advanced on-device intelligence without increasing system complexity. OEMs and ODMs interested in deploying neuromorphic AI in upcoming products are invited to connect with Innatera to explore how Pulsar-powered solutions can enable faster design cycles and differentiated consumer experiences. About Innatera Innatera enables the world's sensor data to be processed as soon as it is captured, directly at the source. 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 processing sensory data. Using a radically new computing architecture that is 10,000x more efficient than conventional technologies, its chips enable breakthrough physical AI capabilities even in devices powered by small batteries. Innatera's technology makes intelligence pervasive for a smarter, safer, and cleaner world. About Joya Design Rooted in Xiamen, a scenic coastal city, Joya holds the "National Industrial Design Center" certification and boasts over 20 years of experience as a seasoned smart product innovation partner, focusing on design-led innovation. With global service reach, the company engages in domestic benchmark projects while empowering global clients, and has built broader experience with multi-national innovation teams to drive cross-organizational collaborative innovation. Centered on product design, Joya offers a full-link closed-loop service from "creative germination" to "product launch" connecting key links like mechanical engineering and hardware R&D to support integrated product innovation. DELFT, NETHERLANDS - December 10, 2025 - Innatera, the leader in neuromorphic processors for ultra-low-power intelligence at the sensor edge, will showcase its award-winning Pulsar neuromorphic microcontroller at CES 2026, 6-9 January in Las Vegas at the Venetian Tower, Hospitality, Venetian Palazzo Hospitality Suites. One year after introducing its T1 prototype... DELFT, NETHERLANDS - March 3, 2026 - Innatera, the leader in neuromorphic processors for the sensor edge, today announced Byte Lab as a new solution partner, strengthening its ecosystem around deployable, production-ready edge AI. The partnership brings together Innatera's neuromorphic Pulsar platform with Byte Lab's vertically integrated electronics design and... Key Highlights Synopsys helps Innatera design chips that enable real-time, energy-efficient AI processing at the edge, catalyzing the development of next-generation applications in physical AI Synopsys PathFinder-SC(TM) signoff solution delivers improved precision for more accurate layout-level outcomes, expertly manages design requirements, and enables early-phase analysis Synopsys Totem(TM) power integrity platform...

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