Cartesiam
Cartesiam builds NanoEdge AI Studio, an AutoML tool for STM32 microcontrollers that auto-generates optimized ML libraries for embedded edge AI. Now part of STMicroelectronics' ST Edge AI Suite, it serves industrial IoT, sensor, and vision developers globally.
- Company typePrivate
- Founded2016
- HeadquartersToulon, France
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Cartesiam does
Cartesiam is a France-based (Toulon) artificial intelligence company founded in 2016 that built NanoEdge AI Studio, an AutoML tool for STM32 microcontrollers. The tool automatically generates optimized machine learning algorithms and libraries directly on resource-constrained MCUs and MEMS sensors from a minimal amount of training data, targeting embedded developers building edge AI for industrial IoT, asset tracking, sensor-based anomaly and classification (vibration, gas, motor fault), and on-device computer vision. NanoEdge AI Studio is tightly integrated with the broader ST Edge AI Suite — STM32Cube.AI, the ST Edge AI Developer Cloud, model zoo, MEMS Studio, and ST's proprietary Neural-ART NPU (600 GOPS) on STM32N6 — and is compatible with TensorFlow Lite, PyTorch, ONNX, Keras, MATLAB, NVIDIA TAO Toolkit, Amazon AWS, Microsoft Azure, and LARQ. Following its acquisition by STMicroelectronics, NanoEdge AI Studio is distributed free of charge, including for commercial use, as part of the ST Edge AI Suite and is monetized indirectly through ST's microcontroller and MEMS silicon sales. Cartesiam's GTM is product-led and community-led: developers self-serve download the tool, access 50+ case studies and 10+ free tools, and engage through the ST Edge AI Community, STM32 Summit events, and an authorized partner ecosystem. Leadership comprises co-founders Joel Rubino (CEO), Michel Rubino (President), Francois de Rochebouet (CTO), and Marc Dupaquier (Co-Founder & CEO, North America); disclosed funding totals approximately $2.85M, with rounds in 2017 (~$571K), December 2018 ($2.28M led by Bpifrance), and January 2019 (undisclosed with DECIDE4ACTION). The named enterprise customer reference is Linxens (E-SmellAir hazardous gas detection).
Cartesiam firmographics
Firmographics- Name
- Cartesiam
- Legal name
- Not available. The provided sources do not state Cartesiam's registered legal name.
- Website
- https://cartesiam.ai
- Company type
- Private
- Founded year
- 2016
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Cartesiam builds NanoEdge AI Studio, an AutoML tool for STM32 microcontrollers that auto-generates optimized ML libraries for embedded edge AI. Now part of STMicroelectronics' ST Edge AI Suite, it serves industrial IoT, sensor, and vision developers globally.
- Ownership category
- akta.pro rank
Cartesiam industry classification
Industry- Product category
- Edge AI Development Tools
- NAICS
- Computer Systems Design and Related Services (54151), Industrial Design Services (54142)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- AutoML & Low-Code ML Platform Operations (HDAAABAL)
- akta.pro secondary industries
- Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB), Prompt Engineering, Orchestration & LLMOps Tooling (HDAAACAD), AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ), LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD)
Keywords
Where Cartesiam is headquartered
LocationHeadquarters
- HQ city
- Toulon
- HQ country
- France
- HQ region
- Europe
Markets served
Cartesiam business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure
Revenue model
- Free tool licensing (post-acquisition by STMicroelectronics): Following Cartesiam's acquisition by STMicroelectronics, NanoEdge AI Studio is offered free of charge, including for commercial use, as part of the ST Edge AI Suite. Revenue is not directly monetized at the tool level; value is captured indirectly through STMicroelectronics' broader microcontroller and MEMS silicon sales enabled by NanoEdge AI Studio's differentiation.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Pay-as-you-go | Free tool licensing — all ST Edge AI Suite tools (including NanoEdge AI Studio) are free of charge, including for commercial use. |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels6 records
Cartesiam product offering
Product offeringCore offering
Cartesiam develops NanoEdge AI Studio, an AutoML tool that automatically generates optimized machine learning algorithms and libraries for deployment on STM32 microcontrollers. The tool enables embedded developers to rapidly build and deploy custom classification and anomaly detection models directly on resource-constrained edge devices from minimal training data, targeting industrial IoT, sensor-based monitoring, and on-device AI applications.
Product overview
The provided source material contains no information about Cartesiam's specific products or services. The sources pertain to the broader edge AI market (Grand View Research) and the ST Edge AI Suite offered by STMicroelectronics, neither of which describes Cartesiam's own product offering.
Differentiator
Problem solved
Functional benefit
Brands
- NanoEdge AI Studio: AutoML tool for STM32 MCUs that automatically generates optimized machine learning algorithms; listed as one of the tools within STMicroelectronics' ST Edge AI Suite.
Products and services
- NanoEdge AI Studio
Quantifiable outcome
- Enabled Linxens to build and deploy a customized gas classification (E-SmellAir hazardous gas early-warning) model with remarkable speed and efficiency.
Companies that use Cartesiam
Customer profileNamed customers1 record
Segments2 records
Ideal customer profiles2 records
Cartesiam technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Feature2 records
Cartesiam partnerships and signals
Strategic signalPartnerships
Eleven partnerships are on record, tiered flagship and core.
- Amazon Web ServicesflagshipAmazon Web Services is listed as a compatible framework partner for the ST Edge AI Suite (which includes Cartesiam's NanoEdge AI Studio). The integration enables ST developers to build, train, and deploy edge AI models with AWS-compatible workflows on STM32 hardware.
- TensorFlow LiteflagshipTensorFlow Lite is a compatible framework for ST edge AI solutions, allowing developers to import TF Lite models and optimize/deploy them on STM32 MCUs via NanoEdge AI Studio and STM32Cube.AI.
- PyTorchflagshipPyTorch is supported as an input framework for ST edge AI optimizations, enabling PyTorch-trained models to be optimized and deployed onto STM32 MCUs via NanoEdge AI Studio and STM32Cube.AI.
- ONNXflagshipONNX is supported as a compatible framework for ST edge AI solutions, enabling ONNX-format models to be optimized and deployed onto ST hardware including STM32 MCUs and MPUs.
- KerascoreKeras is supported as a compatible framework for ST edge AI solutions, enabling Keras-trained models to be optimized for ST microcontrollers.
- MATLABcoreMATLAB is listed as a compatible framework for ST edge AI solutions, supporting MATLAB-trained neural network models for deployment on STM32 hardware.
- Microsoft AzurecoreMicrosoft Azure is supported as a compatible framework for ST edge AI solutions, allowing Azure-trained models to be deployed on STM32 devices.
- NVIDIA TAO ToolkitcoreNVIDIA TAO Toolkit is supported as a compatible framework, enabling transfer learning and pre-trained models from NVIDIA's ecosystem to be deployed on ST edge AI hardware.
- Edge ImpulsecoreEdge Impulse is an authorized ST Edge AI Suite partner, expanding available edge AI resources and expertise for embedded ML projects targeting STM32 devices.
- IridaLabscoreIridaLabs is an authorized ST Edge AI Suite partner, contributing computer vision and embedded AI expertise to the ecosystem.
- EmbedUr
Scale indicators2 records
Recent moves6 records
Expansion highlights5 records
Cartesiam competitors and assessment
Company assessmentBroad incumbents
- STMicroelectronics: STMicroelectronics is Cartesiam's parent company and the broader incumbent offering the STM32 MCU portfolio, MEMS sensors, and the ST Edge AI Suite in which NanoEdge AI Studio sits. Comparable as the silicon + tools platform Cartesiam is integrated into.
- Infineon Technologies: Infineon offers PSoC and AURIX MCU families with growing edge AI tool support, competing with STM32 in industrial and automotive sockets. Comparable as a broad incumbent MCU vendor whose silicon competes with STM32 for NanoEdge-relevant sockets.
- Qualcomm Technologies: Qualcomm provides edge AI platforms and AI Engine SDKs across mobile and IoT chipsets. Comparable as a broad incumbent with overlapping on-device AI tooling ambitions, though targeting more compute-rich endpoints than Cartesiam.
- NXP Semiconductors: NXP offers competing MCU/MPU families (e.g., i.MX RT) with its own edge AI toolchain (eIQ). Comparable as a broad incumbent MCU incumbent whose silicon competes with STM32 and whose edge AI software competes with NanoEdge.
- NVIDIA (Edge / TAO Toolkit): NVIDIA's TAO Toolkit is a listed compatible framework for ST Edge AI solutions, competing for embedded AI developer mindshare. Comparable as a broad incumbent offering AutoML/transfer-learning tooling that increasingly targets the same edge AI developer persona.
Emerging players
- IridaLabs: IridaLabs is an authorized ST Edge AI Suite partner specializing in computer vision and embedded AI on STM32 devices. It overlaps with Cartesiam in the embedded AI developer ecosystem while focusing more on vision workloads.
- Syntiant: Syntiant provides ultra-low-power neural decision processors for always-on edge AI on battery-powered devices. Comparable in the on-device AI-on-MCU use case and competing for the same sensor-based classification workloads.
- BrainChip: BrainChip offers neuromorphic edge AI IP (Akida) targeting ultra-low-power on-device inference on microcontrollers and edge SoCs. Comparable as a competing edge AI silicon + tool stack for resource-constrained devices.
Direct peers
- SensiML (acquired by QuickLogic): SensiML provides AutoML tools for tinyML and edge AI on microcontrollers, including sensor data classification and anomaly detection — directly comparable to NanoEdge AI Studio's target use cases for STM32-class devices.
- Edge Impulse: Edge Impulse is a hardware-agnostic edge ML platform offering AutoML for microcontrollers and is a listed ST Edge AI Suite partner. It competes directly with Cartesiam's NanoEdge AI Studio for embedded AI developers, with broader cross-silicon support.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat4 records
Key risks5 records
Key highlights6 records
Customer concentration
Cartesiam social profiles
Digital presenceCartesiam financial estimates
Financial estimateRevenue estimate
Valuation estimate
Cartesiam leadership team
Management profileNumber of profiles
Profiles4 records
Cartesiam funding detail
Funding detailFunding overview
Funding rounds3 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Cartesiam 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 Cartesiam
What does Cartesiam do?
Cartesiam develops NanoEdge AI Studio, an AutoML tool that automatically generates optimized machine learning algorithms and libraries for deployment on STM32 microcontrollers. The tool enables embedded developers to rapidly build and deploy custom classification and anomaly detection models directly on resource-constrained edge devices from minimal training data, targeting industrial IoT, sensor-based monitoring, and on-device AI applications.
Is Cartesiam a public or private company?
Cartesiam is a private company. It is classified as corporate owned and is currently operating.
When was Cartesiam founded?
Cartesiam was founded in 2016. It employs 11 to 50 people.
Where is Cartesiam based?
Cartesiam is headquartered in Toulon, France, in the Europe region.
How does Cartesiam make money?
One revenue line is on record: free tool licensing (post-acquisition by STMicroelectronics).
Who are Cartesiam's main competitors?
Broad incumbents on record are STMicroelectronics, Infineon Technologies, Qualcomm Technologies, NXP Semiconductors and NVIDIA (Edge / TAO Toolkit). Emerging players are IridaLabs, Syntiant and BrainChip. Direct peers are SensiML (acquired by QuickLogic) and Edge Impulse.
Does Cartesiam have an API?
No public API is recorded for Cartesiam.
What industry is Cartesiam in?
Cartesiam's product category is Edge AI Development Tools. Its primary akta.pro industry code is HDAAABAL, AutoML & Low-Code ML Platform Operations, with a secondary code of HDAEANAB, Model Development & Training Platforms (AutoML, Notebooks, Feature Stores). Its NAICS code is 54151 and its SIC code is 7372.