Breww
Enterprise-grade AI infrastructure — the way we run our own products.
Breww is the AI runtime that Lumaara, ESGCaffe, and CommandIQ all run on. Model orchestration, retrieval, agents, evaluations, and safety controls. Because it's the same engine we ship our own products on, the parts most vendors bolt on later — evaluation, lineage, tool safety — are built in.
Ask it to do something real.
Explain what an MCP server is, simply.
A standard socket for tools. The model speaks one protocol, and any service that implements it — your CRM, a database, a design tool — plugs in without bespoke glue. 3 sources
An illustrative Breww session — five modes, and the artefact each one hands back.
Breww is what runs under every DataCaffe.ai product. It's also available directly, for enterprises that need production-grade AI infrastructure without spending six months assembling it themselves from twelve separate vendors.
What Breww does?
Route across proprietary, open-weight, and private models with cost and quality controls. Fail-over when a provider has a bad hour.
Enterprise RAG with lineage, permission-aware retrieval, and freshness guarantees. No user sees data their identity does not have access to, ever.
A structured agent runtime with tool safety, human-in-the-loop, and full trace capture — so an incident review is a query, not an archaeology dig.
Continuous evals with slice-level breakdowns. Policy enforcement, PII controls, jailbreak protection. The apparatus you'd otherwise assemble from five vendors, in one place.
Why teams pick Breww?
Battle-tested by our own product portfolio — we notice regressions before you do
Model-agnostic and cloud-agnostic. Not selling you a specific inference vendor.
Ships with the governance apparatus your CISO wants to see on day one, not month six
Industries Breww serves
Bring Breww into production.
Share a couple of lines about your setup — a senior partner will get back within a business day.
Product tour, pricing, docs, and customer stories live on the Breww site.
Visit breww.ai