Exafunction
Agent29Agent Readiness: 29/100. Below median. Measured by StartupHub.ai. Median 41.Trust87Data Trust: 87/100. Top 25%. Measured by StartupHub.ai. Median 61.Exafunction provides a platform for deploying, managing, and scaling AI models and machine learning infrastructure.
About
Exafunction offers a comprehensive platform designed to help companies deploy, manage, and scale their AI models and machine learning infrastructure efficiently. Their solution aims to simplify the complexities of MLOps, enabling developers and data scientists to focus on building and iterating on models rather than managing infrastructure.
Listed competitors
MLOps platform for tracking, visualizing, and collaborating on machine learning experiments.
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Open-source platform for managing the ML lifecycle, from experimentation to deployment.
A unified, fully managed platform for building, training, and deploying machine learning models at scale.
A suite of services for building, deploying, and managing machine learning models on Google Cloud.
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Key facts
- Website
- devin.ai
- Headquarters
- San Francisco, United States
- Founded
- 2021
- Employees
- 442
- Total funding
- $28M (Series A)
- Business model
- B2B
Funding rounds
Tech stack
Detected on devin.ai, last scanned 26 Oct 2026. Run your own scan
- Frontend
- Next.js, Tailwind CSS
- Support
- Zendesk
- CDN
- Vercel
- Status page
- Statuspage
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Frequently asked
Is Exafunction trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Exafunction is 87 out of 100, a trusted rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How much funding has Exafunction raised?
Exafunction has raised a total of $28M in funding. The most recent round on record is Series A.
How many employees does Exafunction have?
Exafunction has approximately 442 people on record.
SEC filings, insider activity, nonprofit links and pay benchmarks for Exafunction:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules
