We got tired of AI that didn't know what we knew
Directo started as an internal fix for a problem every team building AI eventually hits: the model is only as good as the data it can actually reach. We built the connector layer we wished existed, then opened it up.
Directo is AI data infrastructure: we connect the systems your business already runs on - GitHub, Jira, Slack, Salesforce, HubSpot, and more - to the AI assistants, search tools, and agents your team is building.
Our mission is simple: make a company's real, current knowledge available to AI in real time, with the same permissions and the same accuracy a trusted employee would have.
We believe most "AI isn't useful yet" complaints are really data access problems wearing a model's name. Better prompts don't fix stale context. A live connection to the source does.
The short version
The problem, lived firsthand
Built three different internal sync scripts for three different AI prototypes. Realized the integration work, not the model, was the bottleneck every time.
Directo founded
Started building a single connector layer - index once, plug into any AI surface - instead of one-off pipelines per project.
First 10 connectors
Shipped GitHub, Jira, Slack, and the other tools we were already using ourselves, with permission-aware sync from day one.
A growing connector library
Teams across eCommerce, support, and engineering use Directo to keep their AI assistants and agents grounded in real, current data.
Mission
Connect every company's real knowledge to the AI built to use it.
Vision
A future where AI agents act on trusted, current business data - not stale snapshots.
Values
Security and accuracy aren't trade-offs we make for speed - they're the product.
Want to see it on your own data?
Connect a source and ask your AI something only that tool would know.