Technology

Purpose-Built Technologies for the Full Enterprise AI Lifecycle

DistilleryWeaveContext MeshContext ViewsJourneyPersonalizationApprentice

Enterprise knowledge, structured for AI.

Building an AI-native enterprise requires rethinking how knowledge is organized. Context Mesh is the live, governed foundation every agent reads from and writes back to.

The Problem

Enterprise AI deployments fail because the context beneath them is siloed, ungoverned, and untraceable. Every agent you deploy inherits that chaos. When one makes a bad decision, no one can explain why. Add a second agent, then a tenth, and each operates from its own blind spot. No shared intelligence. No compounding. Just isolated automation, multiplied.

Context Mesh — AI-native data foundation

Context Mesh is the knowledge foundation in Distillery's Context Layer. It governs what every agent can access, records every decision they make, and compounds enterprise intelligence with every workflow that runs. It reads from your existing data systems, both general-purpose and industry-specific, and writes back what every agent decides. Your data stays where it is. No migration required.
Context Mesh illustration

Capabilities

01

Data Discovery

Your enterprise stops collecting data. It starts compounding intelligence.

Context Mesh integrates with your existing data foundation and adds a semantic layer on top. When an agent makes a decision, that output flows back into the mesh, semantically indexed and immediately available to every other agent across your enterprise. Each new use case inherits everything Context Mesh already knows. The longer Context Mesh runs, the smarter every system built on it becomes.

02

Data Governance

Scale your agent fleet without your governance degrading.

Agents are first-class citizens in Context Mesh, with first-class access controls. Every agent is provisioned with explicit, auditable permissions over what it can read, write, and reason from. No agent crosses data boundaries it hasn't been cleared for. No access drifts silently across system lines. The same rigor that governs human access to sensitive enterprise data governs every AI system running on top of it. Your security posture hardens as you scale.

03

Data Provenance

Every decision is explainable.

When an agent makes a decision, Context Mesh captures a complete forensic record: a precise snapshot of the exact knowledge state it reasoned from at runtime, including the specific data accessed, the policies applied, and the moment it acted. Every output is traceable to its source. For industries where a wrong decision costs millions, or where a regulator can ask for the reasoning behind any case at any time, this is the architecture of accountability.