Context
Every interaction your AI agents handle becomes shared organizational intelligence - eliminating data silos and turning every conversation into context the entire enterprise can act on.
Medium length section heading goes here
Lorem ipsum dolor sit amet consectetur. Tempor gravida ultricies ut iaculis eget lacus non. Sagittis elementum aliquam ultricies in.
Agent interaction data extracted and classified
Every agent interaction generates transcripts, recordings, call metadata, session IDs, timestamps, and operational signals about your customers and operations - historically unrecorded, now captured automatically for all touchpoints.
Agents automatically parse extracted data into fields like outcomes, intents, contact reasons, sentiments, escalation triggers, and write directly to Context. The result is a queryable record of every interaction feeding downstream workflows, interfaces, and external systems so data is comparable without any manual effort.
Raw data turned into intelligence at scale
Every data point captured is automatically mapped to the entity it belongs to - a contact, an account, a vendor, a shipment, a product - building a structured understanding of your operation over time. A call about a delayed shipment updates both the contact and shipment record, so agents reason across your entire operation.
Every contact builds a persistent record across interactions - memory snippets, structured extracted attributes, and behavioral tags derived from patterns across sessions. Agents use this record to open every conversation with genuine awareness of history, before the first word is spoken.
Phone numbers unify voice and SMS. Email unifies chat and email. Custom identifiers like tracking numbers or account IDs serve as pivot keys where neither is available, ensuring every touchpoint connects to the same contact record, regardless of channel.
Native integrations to applications your business already runs on
Your enterprise systems, integrated
Two-way data flow via REST API
Knowledge bases
Intelligence built into deployment from day one
All agents within a deployment share the same Context layer, reusing integrations, contact memory, and data schemas. The more agents you run, the richer it gets, surfacing operational intelligence that never existed before in your enterprise. Information collected over several interactions reveals patterns about how agents should operate or react in given situations.
Insights captured in support fuels sales opportunities. Details from onboarding inform renewals. Shared context across your AI workforce turns every interaction into a competitive advantage.
Forward Deployed Engineers (FDEs) can accelerate deployments by helping integrate your enterprise systems, configure knowledge bases, and set up and configure Context from day one so your AI workforce operates on live, accurate data from the moment you go live.
Use intelligence to build and use Context
Describe the systems you want to integrate and the intelligence layer sets up polling tables, configures sync schedules, and wires up credentials so your AI workforce operates on live data from day one.
Tell the copilot what data your agents need to capture and it defines the schema, sets up extraction rules, and configures knowledge bases, ready for agents to read from and write to immediately.
As your AI workforce expands, the intelligence layer helps you add new data sources, update entity mappings, and refine what gets captured without rebuilding from scratch.