embedUR Systems
embedUR Systems is a US-headquartered edge AI platform company that builds the ModelNova ecosystem and Fusion Studio tooling, enabling on-device AI deployment on microcontrollers and NPUs through deep partnerships with Ceva, Infineon, Alif, Arm, and other silicon vendors for healthcare, logistics, and industrial customers.
- Company typePrivate
- Founded2004
- HeadquartersFremont, United States
- Headcount251–500
- GTM typeB2B
- OfferingSoftware
What embedUR Systems does
embedUR Systems is a US-headquartered (Silicon Valley) edge AI platform company founded in 2004, operating with an engineering-anchored delivery model centered on its Chennai, India development organization of 400+ engineers (targeting 550+ by end of 2026). The company builds ModelNova, an edge AI platform ecosystem that combines a pre-trained AI model library with the ModelNova Fusion Studio desktop development environment, enabling complete on-device AI lifecycle management (training, benchmarking, compression, and deployment) for microcontrollers and NPUs without cloud dependency. Core technology spans model compression (quantization, pruning, weight clustering), hardware-accelerated transformer support for battery-powered devices, and native integration with major silicon platforms including Ceva NeuPro NPU, Infineon PSOC Edge, Alif Ensemble, Arm, Silicon Labs, and NXP.
The company generates revenue through two streams: traditional embedded systems professional services (IoT firmware and software development, currently the larger contributor but projected to be overtaken by the platform business by 2027), and the ModelNova platform offered via subscription/recurring licensing to semiconductor partners and enterprise customers. Distribution is heavily OEM-embedded: ModelNova is natively integrated into chip vendor development environments, creating a co-sell motion where chip company sales teams drive adoption. Direct enterprise sales occur through joint products such as NovaTrack (with Atmosic for warehouse asset tracking). Customer verticals include healthcare and medical devices (wearable AI for non-verbal patients), logistics and supply chain (real-time warehouse monitoring), industrial automation, consumer IoT, and telecommunications. The company plans to spin off ModelNova as a wholly owned subsidiary before year-end 2026 and has committed ₹500 crore (~$60M+) over five years to a Tamil Nadu Edge Intelligence Center. The CEO and founder is Rajesh C. Subramaniam, with Nikhil Goel serving as Sr. Director of Engineering.
embedUR Systems firmographics
Firmographics- Name
- embedUR Systems
- Legal name
- embedUR systems
- Website
- https://embedur.com
- Company type
- Private
- Founded year
- 2004
- Operating status
- Operating
- Headcount range
- 251–500 employees
- Short description
- embedUR Systems is a US-headquartered edge AI platform company that builds the ModelNova ecosystem and Fusion Studio tooling, enabling on-device AI deployment on microcontrollers and NPUs through deep partnerships with Ceva, Infineon, Alif, Arm, and other silicon vendors for healthcare, logistics, and industrial customers.
- Ownership category
- akta.pro rank
embedUR Systems industry classification
Industry- Product category
- Edge AI Software Platform
- NAICS
- Custom Computer Programming Services (541511), Other Computer Related Services (541519), Computer Systems Design Services (541512)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)
- akta.pro primary industry
- On-Device Inference Runtimes & SDKs (mobile/embedded) (HDAAAJAB)
- akta.pro secondary industries
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)
Keywords
Where embedUR Systems is headquartered
LocationHeadquarters
- HQ city
- Fremont
- HQ country
- United States
- HQ region
- North America
Offices3 records
Markets served
embedUR Systems business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Edge AI Platform (ModelNova): Revenue from ModelNova edge AI platform, planned to spin off as fully owned subsidiary before year-end. Platform licensing and subscription revenue from semiconductor partners and enterprise customers. Expected to overtake traditional embedded systems services by 2027.
- Embedded Systems Services: Traditional IoT firmware and software services for embedded systems, currently the primary revenue driver but expected to be surpassed by edge AI platform business by 2027. Includes professional services for industrial AI workloads in medical devices, logistics, transportation, and commercial lighting.
Go-to-market motion3 records
Distribution channels4 records
Marketing channels4 records
embedUR Systems product offering
Product offeringCore offering
embedUR Systems develops and sells an edge AI platform ecosystem (ModelNova) that provides pre-trained AI models and a unified desktop development environment (Fusion Studio) for training, benchmarking, and deploying AI on microcontrollers and constrained IoT devices. The platform is natively embedded into partner semiconductor ecosystems (Arm, Silicon Labs, NXP, Ceva, Infineon, Alif) and powers specialized solutions including DEEPCRAFT AI Hub, NovaTrack enterprise asset tracking, and wearable AI healthcare devices. The company also provides traditional embedded systems services (IoT firmware and software development).
Product overview
embedUR Systems is a US-headquartered Edge AI company offering a unified platform-plus-modules architecture centered on ModelNova, an edge AI platform ecosystem. The core ModelNova platform provides pre-trained AI models eliminating proprietary toolchain fragmentation, supported by the ModelNova Fusion Studio desktop development environment for complete edge AI lifecycle management. The company has developed specialized solutions including DEEPCRAFT AI Hub (for Infineon PSOC Edge), NovaTrack (enterprise asset tracking with Atmosic), and wearable AI for healthcare monitoring. Strategic partnerships with chip design companies (Ceva, Infineon, Alif, Arm, Silicon Labs, NXP) enable optimized deployment across diverse hardware. The company operates its traditional embedded systems services business alongside the edge AI platform, with plans to spin off ModelNova as a fully owned subsidiary. A dedicated Edge Intelligence Center in Chennai, India, with over 400 engineers supports the platform development.
Differentiator
Problem solved
Functional benefit
Brands
- ModelNova: Edge AI platform ecosystem combining Edge AI model library and Fusion Studio development environment for AI model training, benchmarking, and deployment on microcontrollers
- Fusion Studio
- NovaTrack
- DEEPCRAFT AI Hub
Products and services
- ModelNova Edge AI platform ecosystem providing pre-trained AI models that eliminate the need for proprietary toolkits from chip vendors; consolidates the entire Edge AI lifecycle including training, benchmarking, and deployment into a single application, reducing embedded AI development cycles by up to 75%. Targeted at enterprises deploying AI on microcontrollers and constrained IoT devices.
- ModelNova Fusion Studio Desktop development environment for complete Edge AI model training, benchmarking, and deployment targeting microcontrollers with hardware-accelerated transformer support; the industry's first single application for end-to-end edge AI lifecycle management. Designed for ML engineers and embedded developers building AI on constrained devices.
- DEEPCRAFT AI Hub Online platform jointly developed with Infineon Technologies for AI development on Infineon's PSOC Edge MCU + NPU products; provides pre-optimized AI models and deployment resources to address industry shortages of AI expertise on embedded devices. Targeted at developers using Infineon PSOC Edge silicon.
- NovaTrack Enterprise asset tracking platform jointly developed with Atmosic Technologies; combines Atmosic's low-power BLE hardware with embedUR's cloud platform to enable real-time warehouse asset monitoring using built-in drawing tools for warehouse profiles and custom zones. Targeted at warehouse operators and logistics enterprises.
- Wearable AI for Healthcare Wearable AI devices designed to detect pain and distress in non-verbal patients including autistic children and dementia patients; uses biosensors and edge AI to interpret physiological signals and alert caregivers. Targeted at healthcare providers and medical device manufacturers.
- Embedded Systems Services Traditional embedded systems services business providing IoT firmware and software development; includes deep partnerships with major chip design companies including Arm, Silicon Labs, NXP Semiconductors, and Ceva. Expected to be overtaken by edge AI platform business by 2027. Targeted at enterprises building connected products.
Quantifiable outcome
- Reduces embedded AI development cycles by up to 75%
- +3 more outcomes
Companies that use embedUR Systems
Customer profileNamed customers3 records
Segments5 records
Ideal customer profiles5 records
embedUR Systems technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration6 records
AI capability8 records
Feature5 records
embedUR Systems partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered core and flagship.
- Atmosic TechnologiescoreembedUR and Atmosic jointly launched NovaTrack, an enterprise asset tracking platform combining Atmosic's low-power BLE hardware with embedUR's cloud platform for real-time warehouse asset monitoring. The solution enables operators to deploy tracking within minutes using built-in drawing tools for warehouse profiles and custom zones.
- Alif SemiconductorcoreembedUR and Alif Semiconductor partnered to deploy edge AI solutions for Alif's Ensemble Series of microcontrollers using embedUR's ModelNova platform. This integration supports on-device execution for generative AI and transformer workloads on battery-powered devices. Alif joined the EDGE AI Foundation as a new partner alongside the ModelNova integration.
- Infineon Technologies AGcoreInfineon and embedUR launched DEEPCRAFT AI Hub, an online platform for AI development on Infineon's PSOC Edge MCU + NPU products. The platform offers pre-optimized AI models and deployment resources to address industry shortages of AI expertise on embedded devices.
- Ceva, Inc.coreCeva and embedUR launched a dedicated instance of the ModelNova platform for Ceva's NeuPro NPU family. The platform provides pre-trained, optimized AI models for ultra-low-power NeuPro-Nano and high-performance NeuPro-M NPUs, enabling rapid prototyping and deployment of AI features in wearables, hearables, smart home, AIoT, robotics, smart cameras, and AR/VR.
- EDGE AI Foundation (formerly tinyML Foundation)flagshipembedUR powers EDGE AI LABS, a research platform under the EDGE AI Foundation. The Foundation has grown to a community of over 100 Fortune 500 technology companies. embedUR's role as the platform provider for EDGE AI LABS positions it as a central player in the edge AI ecosystem, with ongoing academia-industry partnerships including collaboration with the Krach Institute for Tech Diplomacy.
Scale indicators7 records
Recent moves8 records
Expansion highlights6 records
embedUR Systems competitors and assessment
Company assessmentDirect peers
- Edge Impulse: Edge Impulse offers an end-to-end edge AI development platform for microcontrollers and edge devices, directly comparable to embedUR's ModelNova Fusion Studio for training, benchmarking, and deploying ML models on constrained hardware.
- SensiML (now part of QuickLogic): SensiML provides AI/ML development tools for IoT edge devices, including AutoML pipelines and model deployment on microcontrollers — directly competing with ModelNova's edge AI lifecycle tooling.
- Latent AI: Latent AI offers edge AI model compression and deployment tools (Latent AI Efficient Inference Platform), targeting the same on-device optimization use cases as embedUR's ModelNova platform for microcontrollers and constrained devices.
Emerging players
- Plumerai: Plumerai provides on-device AI inference software optimized for microcontrollers and edge devices, with a focus on low-power vision and audio applications — overlapping with embedUR's edge AI on-device inference runtime stack.
- BrainChip: BrainChip offers neuromorphic AI processors and the MetaTF development environment for edge AI on its Akida IP, comparable to embedUR's MCU/NPU-targeted ModelNova platform approach.
- Syntiant: Syntiant develops ultra-low-power neural decision processors and development tools for always-on edge AI audio and sensor applications, competing with embedUR's wearable, hearable, and IoT-focused ModelNova use cases.
Broad incumbents
- NXP Semiconductors (eIQ toolchain): NXP's eIQ machine learning development environment and broad MCU portfolio position it as both a partner of embedUR and a competing platform for edge AI model training and deployment on embedded devices.
- STMicroelectronics (STM32Cube.AI): STMicroelectronics provides STM32Cube.AI for deploying neural networks on STM32 microcontrollers, serving the same embedded AI developer audience as embedUR's ModelNova across industrial, IoT, and consumer use cases.
- Qualcomm (Qualcomm AI Hub / IoT SDK): Qualcomm offers AI development and deployment tooling for its IoT and edge chipsets, with comparable edge AI lifecycle capabilities to ModelNova and a much broader device footprint.
- NVIDIA (Jetson / TAO Toolkit): NVIDIA's Jetson platform and TAO Toolkit provide end-to-end edge AI development for robotics and industrial use cases; while higher-power than MCU targets, it competes for the same edge AI workloads in industrial automation.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
embedUR Systems social profiles
Digital presenceembedUR Systems financial estimates
Financial estimateRevenue estimate
Valuation estimate
embedUR Systems leadership team
Management profileNumber of profiles
Profiles2 records
embedUR Systems subsidiaries and ownership
Company hierarchySubsidiaries1 record
embedUR Systems funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
embedUR Systems M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about embedUR Systems
What does embedUR Systems do?
embedUR Systems develops and sells an edge AI platform ecosystem (ModelNova) that provides pre-trained AI models and a unified desktop development environment (Fusion Studio) for training, benchmarking, and deploying AI on microcontrollers and constrained IoT devices. The platform is natively embedded into partner semiconductor ecosystems (Arm, Silicon Labs, NXP, Ceva, Infineon, Alif) and powers specialized solutions including DEEPCRAFT AI Hub, NovaTrack enterprise asset tracking, and wearable AI healthcare devices. The company also provides traditional embedded systems services (IoT firmware and software development).
Is embedUR Systems a public or private company?
embedUR Systems is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was embedUR Systems founded?
embedUR Systems was founded in 2004. It employs 251 to 500 people.
Where is embedUR Systems based?
embedUR Systems is headquartered in Fremont, United States, in the North America region.
How does embedUR Systems make money?
Two revenue lines are on record. Edge AI Platform (ModelNova) is the primary driver. The others are embedded Systems Services.
Who are embedUR Systems's main competitors?
Direct peers on record are Edge Impulse, SensiML (now part of QuickLogic) and Latent AI. Emerging players are Plumerai, BrainChip and Syntiant. Broad incumbents are NXP Semiconductors (eIQ toolchain), STMicroelectronics (STM32Cube.AI), Qualcomm (Qualcomm AI Hub / IoT SDK) and NVIDIA (Jetson / TAO Toolkit).
Does embedUR Systems have an API?
No public API is recorded for embedUR Systems.
What industry is embedUR Systems in?
embedUR Systems's product category is Edge AI Software Platform. Its primary akta.pro industry code is HDAAAJAB, On-Device Inference Runtimes & SDKs (mobile/embedded), with a secondary code of HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management). Its NAICS code is 541511 and its SIC code is 7372.