Documentation index for AI agents: see /llms.txt. Markdown versions of every page are available at <path>.md or via Accept: text/markdown.

Bridging the gap between complex data and reliable AI agents

Our story began in late 2020 as Flowrite, with a vision to redefine email communication with AI. Over the next few years, we built Flowrite into the leading AI email assistant, serving hundreds of thousands of users worldwide.

In 2024, Flowrite was acquired by Maestro Labs, giving us the opportunity to apply our experience in building reliable, user-facing AI systems to deeper infrastructure challenges.

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Along the way, we built Flow Judge, an open family of evaluation models for grading LLM systems — which taught us first-hand how hard it is to make AI reliable enough to trust in production.

That pointed us at the harder problem underneath: getting AI agents to act safely and predictably over structured data, domain rules, and complex analytical workflows.

Today we build the harness for production-grade analytical AI agents — the runtime, data layer, and evaluation tooling that let modern SaaS teams embed reliable, customer-facing data agents inside their own products, in their own infrastructure.

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Enabling analytical software to become agentic

Data-driven products are evolving beyond static dashboards. End users expect interactive explanations, scenarios and simulations powered by AI — but most product architectures were never designed for agents to reason over large amounts of structured data.

Our vision is to provide the harness that makes this shift possible — the runtime, data layer, and evaluation tooling that let analytical SaaS teams ship reliable, domain-aware agents inside their products, without rewriting their stack.

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Backed by the best

We’re backed by pioneers in AI and deep tech. Their support helps us push the boundaries of what’s possible.

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Shipping AI agents inside your data product?

We partner closely with a handful of data-heavy SaaS companies building analytical AI agents. If that’s you, let’s talk.

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