About
Natun.ai developed a Kubernetes-native feature store designed to streamline the MLOps lifecycle. Their platform aimed to provide a robust solution for managing, discovering, and serving features for machine learning models, enabling faster iteration and deployment for data scientists and ML engineers.
Similar companies
A meta machine learning platform for tracking, comparing, and optimizing ML experiments.
Shares MLOps, Machine Learning
Shares MLOps, Data Platform
An open-source feature store for managing and serving data for AI/ML models in production.
Shares MLOps, Data Platform
A unified data analytics and AI platform built on the lakehouse architecture.
Shares Machine Learning, Data Platform
ModelOp's Enterprise AI Command Center unifies every AI asset, automating delivery and maximizing ROI for ML, GenAI, and agentic AI in production.
Shares MLOps, DataOps
ML Observability platform for enterprises to monitor, visualize, and ensure ML model performance.
Shares MLOps, Data Platform
Key facts
- Website
- natun.ai
- Founded
- 2021
- Employees
- 7
- Total funding
- $2M (Seed)
- Business model
- B2B
Funding rounds
| Date | Round | Amount | Lead investors |
|---|---|---|---|
| 1 Mar 2022 | Seed | $2M | Vertex Ventures |
Natun.ai scores 25. Does yours?
That is its Agent Readiness: how well ChatGPT, Claude and the other agents can read and use a site. Paste your website and you get yours in about a minute.
Frequently asked
How much funding has Natun.ai raised?
Natun.ai has raised a total of $2M in funding. The most recent round on record is Seed.
How many employees does Natun.ai have?
Natun.ai has approximately 7 people on record.
Public record
SEC filings, insider activity, nonprofit links and pay benchmarks for Natun.ai
