What it solves
Each of these grew out of a specific problem enterprises run into once AI usage spreads past a handful of people experimenting. Click into any one for the details.
Full visibility into every AI interaction — prompt, model, tool calls, and response, down to token counts, latency, status, and the exact payload — so you can find and fix problems instead of guessing.
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See who is sending sensitive data to AI, and block, redact, or audit it before it ever reaches a model — with the detection logged, never the data itself.
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Turn your AI policies into controls enforced on every call — which models can touch which data, who can access what, and when a human must approve — with each decision and change kept as an audit-ready record you can show a regulator.
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Clear, real-time visibility into AI token usage and spend by user, department, and location, with budgets, cost centers, and up-to-date model pricing so a runaway bill is never a surprise.
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Point your existing tools at one base URL and use any AI model — Anthropic, any OpenAI-compatible provider, or an internal model — under one layer of visibility and control.
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Private beta
A company-branded chat experience that gives employees a safe, approved, fully governed way to use AI at work — with the same guardrails and audit trail as everywhere else.
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Private beta
Automatically ground AI answers in your organization's own documents — with citations — so responses are specific to your company, not generic, and you can see exactly what informed them.
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Private beta
Every session automatically classified by what it was for — debugging, feature work, planning, and more — with the repository involved and whether it's org or personal work, each with a plain-language reason and confidence score.
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Connects to the tools, providers, and systems your teams are already using — so adopting it doesn't mean replacing them.
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