Transform personal productivity tools into enterprise AI solutions.
Whatever you want AI to do, do it with your complete business data. Datafi connects the AI tools your people use to the systems you run, with control over who sees what.
- 3 days or less
- Your first use case is in production and live for use. Getting started is easy
- Starting at $20
- per user/month, usage credits available as needed. Try Pricing Calculator
- 0
- data migrations required, just plug and play with existing systems. See how
Trusted by leaders across industries
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In freight, every minute and every decision has a cost. Datafi changed how our teams actually use data, not just access it, to make faster, smarter calls across our network. For an LTL carrier managing thousands of daily touchpoints, that's the difference between reacting to problems and preventing them.
Robert Rosales VP Technology at Oak Harbor Freight -
Every enterprise we work with is sitting on more valuable data than they can use. Datafi changes that equation. Our mutual clients are getting measurably more value out of the platforms they already own, without adding complexity or cost to their operations.
Ben Burke SVP Americas at Nortal
Use the AI tools you prefer. Supercharge them with business data.
Datafi works behind the scenes, connecting your AI tool to live business data.
Every employee can use their AI tool of choice.
Finance can work in Copilot while sales uses ChatGPT and engineering uses Claude. Datafi applies the same per-user rules to every tool and logs every request in one place.
How do you want to use your data with AI?
Datafi offers two paths to access your full business data.
We already have Copilot, ChatGPT, etc.
Keep them. Datafi gives them governed access to systems outside Microsoft's or Google's cloud: ERP, TMS, policy admin, on-prem databases and file shares.
Connecting AI to our data is too risky.
Start read-only, with one team on one dataset. Every request is checked against that person's access and logged.
We'll build it ourselves.
You can, but a production MCP server is a big project, and you'd still need per-user governance, business context and observability. Most mid-market IT teams would rather spend that time on use cases.
See it on your own data in 3 days or less.
A launch workshop connects one dataset and puts a real use case in production.