Chinchill.ai

Agentic IT Memory

Your IT environment is full of conflicting data across tickets, wikis, and chat threads. Our AI agents reconcile those sources into one authoritative memory and build automations that actually work in your environment.

Search & Retrieval Analysis & Forecasting Customized Automation

Your IT Data Is Already Stale

Hybrid infrastructure, rapid deployments, and constant change mean data goes stale faster than any team can maintain it manually. Every IT initiative depends on reliable data, but keeping it current has become a full-time job nobody was hired to do.

Knowledge Decay

The runbook in Confluence was accurate when it was written. The process has changed three times since then, but your team was busy keeping production up. New hires can't ramp, and any automation built on outdated information breaks.

No Single Source of Truth

One system says the server is decommissioned. Another still pages your on-call at 3am about it. A third reflects a state from six months ago. These systems were never designed to stay in sync with each other.

No Way to Tell What's Current

Some AI tools can't reach your IT systems at all. The ones that can still treat every document as equally valid. Three wiki pages about the same process, two of them outdated? They just return whichever one matches.

Solution: IT Memory

We connect to your existing tools, reconcile conflicting data, and build one reliable knowledge base for IT operations. No manual upkeep required.

Authoritative Memory

We connect to your Jira, Slack, Teams, ServiceNow, and more, then reconcile conflicts across thousands of sources to build a Knowledge Base that improves accuracy over time. Your team starts every task with the right answer, not a scavenger hunt.

Search & Retrieval

Delivers verified answers that account for your tickets, your infrastructure, and your internal context. Reduce escalations, improve resolution time, and free your senior engineers for higher-value work.

Analysis & Forecasting

Identifies recurring issues, infrastructure drift, and emerging risks. Provides your leadership with evidence-backed reporting instead of manually assembled spreadsheets. Spot problems before they become outages.

Customized Automation

Build automations grounded in verified data, scoped to your actual environment. No more brittle, rule-based approaches that break when things change. No data science team required.

Built by Enterprise Veterans

Our founders spent their careers solving messy data problems at massive scale.

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Eric Han

CEO

First Product Manager for Kubernetes at Google. VP Product at Portworx (acquired by Pure Storage) and NetApp. Wharton MBA.

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Profile photo of Patrick Liang

Patrick Liang

CTO

Co-founded Onclusive (acquired), building a media intelligence platform used by NATO and Fortune 500 clients. Caltech CS.

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Contact Us

We are building a world-class team and working with early design partners to fix how enterprise IT manages and uses its own data. Single-tenant deployments with SOC 2 certification in progress. If you are a builder, interested in a pilot, or want to work with us, please connect.

Or email us directly at [email protected]