Top Edge MLOps startups
There are 46 Edge MLOps startups which include Edge Impulse, EmbeDL, NimbleEdge, NXAI, RunAnywhere. Out of these, 12 startups are funded, with 4 having secured Series A+ funding. United States has the most number of companies in Edge MLOps (13), followed by India and Canada
which have (4) companies.
2026 has seen the creation of 5 Edge MLOps startups. Over the past 10 years, an average of 2 new companies have been launched annually. Notably, several of these startups have been founded by alumni of IIT Kanpur, Cornell University and IIT Delhi.
Here is the list of top Edge MLOps Startups
1. Edge Impulse
Platform offering AI-powered chat automation and intelligent business solutions. It enabling the creation and deployment of intelligent chatbots that learn automatically from website content and provide instant, accurate responses. ULTEH simplifies setup with no-code tools, automatic data extraction, and customizable behavior options.
Key facts about Edge Impulse
- Founded Year: 2019
- Location: San Jose (United States)
- Stage: Acquired
- Total Funding till date: $52.8M
- Investors: Canaan, Coatue and 8 Others
- Latest Funding Round: Series B, Dec 09, 2021, $*****
- Tracxn Score: 53/100 What is this?
- Competitors Rank: 3 of 122 Competitors
2. EmbeDL
Provider of an SDK and hub for edge AI model optimization. The SDK streamlines deep learning model deployment on embedded systems. The hub facilitates AI model compilation and profiling on devices via a cloud platform. It offers tools for testing, reporting, and benchmarking. The solution aims to reduce memory usage and energy consumption, while accelerating inference speeds.
Key facts about EmbeDL
- Founded Year: 2018
- Location: Gothenburg (Sweden)
- Stage: Seed
- Total Funding till date: $9.14M
- Investors: Almi Invest, Chalmers Ventures and 9 Others
- Latest Funding Round: Seed, Jun 18, 2025, $*****
- Tracxn Score: 48/100 What is this?
- Competitors Rank: 11 of 390 Competitors
3. NimbleEdge
Provider of an on-device AI platform focused on delivering fast, private, and adaptive AI experiences. It offers a consumer-facing on-device assistant, NimbleEdge AI, and a developer platform called DeliteAI for building and deploying AI-native experiences without relying on the cloud.
Key facts about NimbleEdge
- Founded Year: 2021
- Location: San Francisco (United States)
- Stage: Seed
- Total Funding till date: $3.32M
- Investors: peercheque and Neotribe
- Latest Funding Round: Seed, Dec 17, 2021, $*****
- Tracxn Score: 46/100 What is this?
- Competitors Rank: 8 of 323 Competitors
4. NXAI
Developer of machine learning architectures for time series forecasting applications. These architectures utilize memory mechanisms to process sequential data streams for predictive modeling. The technology supports analysis of temporal patterns across various industrial and technical domains. Models are designed for deployment in edge computing environments to facilitate real-time data processing and system monitoring.
Key facts about NXAI
- Founded Year: 2023
- Location: Linz (Austria)
- Stage: Seed
- Total Funding till date: $22.7M
- Latest Funding Round: Seed, 2023, $*****
- Tracxn Score: 41/100 What is this?
- Competitors Rank: 4 of 47 Competitors
5. RunAnywhere
Developer of on-device AI platform for multimodal application deployment and management. The platform provides tools for integrating AI models into applications and deploying them directly to edge devices. It offers features for optimizing models for different devices and managing AI deployments from a central dashboard. The platform supports various AI models and frameworks.
Key facts about RunAnywhere
- Founded Year: 2025
- Location: San Francisco (United States)
- Stage: Seed
- Total Funding till date: $510K
- Investors: Y Combinator
- Latest Funding Round: Seed, Jan 01, 2026, $*****
- Tracxn Score: 40/100 What is this?
- Competitors Rank: 5 of 47 Competitors
