The platform behind the coworker.
Context, action, governance, and memory — one runtime that turns 18 data sources and 100+ tools into a teammate you can delegate to, audit, and trust.
Architecture
From your sources to every surface.
Data flows in permission-aware, work flows out approval-gated.
Pillar 01 — Context
It knows before it acts.
Every answer and every action is grounded in retrieval: hybrid vector search with reranking, verified citations, and confidence scoring — over exactly the documents each person is allowed to see.
- Dense + sparse hybrid vector search
- Cross-encoder reranking for top-K precision
- Verified citations with page/slide/line references
- Answer confidence scoring (High / Medium / Low)
- Query expansion and shape-aware retrieval
- Permission-aware retrieval — people only see what they're allowed to
Pillar 02 — Action
Plans the job, works the tools, finishes.
A graph-based agent runtime executes every run the same way, whether it started from a chat message or a 2 AM webhook.
Init → Provision → CostCheck → Plan → LLM ⇄ Tools → Synthesize → Complete
100+ built-in tools
Search, SQL databases, Google Workspace, Microsoft 365, Zendesk, ServiceNow, HubSpot, custom webhooks, and MCP servers.
Multi-agent delegation
Agents hand subtasks to specialist agents on the same team — depth-limited, budget-clamped, with costs rolled up to the parent run.
Three-layer memory
Persistent facts and preferences, observational compression on long conversations, and procedures learned from successful runs.
Canvas artifacts
Versioned documents, code, and data the agent drafts and revises — with diff view and user editing.
Automations
Scheduled and triggered agent runs with delivery to webhook, Slack, or email — and auto-resume when a run pauses on a budget.
Budgets & recovery
Pre-flight cost gates, per-tool timeouts, mid-run cost ceilings, transient-failure retries, and pause-and-resume checkpoints.
Pillar 03 — Triggers
Give it work the way you'd give a person work.
Mention it, email it, schedule it, or let your systems call it — every trigger lands in the same governed runtime.
Chat
Ask in Slack, Teams, or the web — switch to research mode for deep multi-step work.
Give an automation its own address. Forward it work; replying to its emails resumes the run.
Schedule
Cron-scheduled runs with history, verification contracts, and bounded auto-resume.
Events
Webhooks from Jira, Zendesk, GitHub, Confluence, Salesforce, and HubSpot — attributed to the triggering user.
Meetings
Zoom, Google Meet, and Teams events kick off runs — transcripts optionally ingested.
Pillar 04 — Governance
Autonomy with a paper trail.
Every tool carries a risk tier; every consequential action waits for the right human; every run leaves a trace you can audit.
- Risk tiers T0–T5 with per-team policy overrides
- Approvals decided from Slack, email reply, or the web — routed through your org chart and on-call schedules
- Per-run and per-team-day cost ceilings with live cost metering
- Identity federation (Slack, Teams, Google, OIDC, SAML)
- Memory scope, retention, and visibility policies
- Complete audit logging with full reasoning traces
Pillar 05 — Memory
Better in month two than on day one.
Three memory layers compound: what it's told, what it observes, and what it learns by doing.
01
Facts & preferences
Durable team knowledge the agent saves and recalls mid-run — rate-limited and deduplicated.
02
Observational compression
Long conversations distill into compact observations — 80%+ token compression on 50-message sessions, so context stays cheap.
03
Procedures
Successful runs become named, reusable playbooks. Admins curate the library: publish, version, and scope by role.
Surfaces
Deliver everywhere.
The same coworker on every surface, with cross-surface conversation continuity.
Operations
Control Tower.
One dashboard for everything your coworker does: connector health, model spend, agent performance, schedules, and failures.
Deployment
Your infrastructure, your models.
Every model call routes through one gateway — swap providers without touching a single agent, or run fully local in air-gapped environments.
Get Started
Put it
to work.
Talk to our team about a deployment shaped to your data, identity stack, and compliance program.