Gmail
Your internal agent factory
Own the intelligencebehind your operations
Turn scattered operations into production AI systemsthat learn from every outcome.
Deploying with teams at the frontier
Figma
Notion
Shopify
GitHub
Databricks
Platform
Build, deploy, and continuously improve agent systems.
Compound
The operating world model
Every outcome makes your agent systems better.
Use Cases
See how teams are goingagent-native
Customer operations.
Conversations, commitments, and follow-ups in one current picture. Agents handle L1–L2 support across Slack and email, route exceptions to the right person, and learn which resolutions stick.
Revenue operations.
Pipeline state kept current across CRM, email, meetings, and Slack. Outbound research, qualification, and handoffs share one model of accounts and engagement history.
Product and engineering teams.
Connect product feedback, incidents, customer requests, engineering work, and release decisions. Agents surface patterns and preserve why work gets built.
Agent evaluation.
Connect an agent already in production. Build replayed environments, custom rubrics, trajectory-level graders, and regression suites from how the product is actually used.
Enterprise
Expert-led transformation.Software that scales.
Build with us
A dedicated team for your first system.
A dedicated AI FDE rethinks the operation with your team and launches the first production system on Dex. Your team can configure and expand it independently.
Our researchers and engineers come from
Security
Built for your most critical operations
Deploy agent systems across sensitive, regulated, and high-judgment workflows without giving up control of your data or infrastructure.
Deploy inside your boundary
Run fully on-premises or in a zero-data-access environment. Your production data stays inside infrastructure you control.
Deterministic controls
Permissions, data boundaries, approval gates, and allowed actions are enforced before execution. Sensitive context cannot cross users, systems, or workflows without authorization.
Trace every participant
Observe every action, decision, approval, correction, and handoff across agents and employees. Investigate failures from the final outcome back to the exact context and policy that produced it.
Research
Our Research
Research
AutoAgent: Autonomous Harness Engineering
Research and coding agents that model enterprise operations, curate eval and training data, simulate environments, and optimize context, harnesses, and models.
Context
Let Agents Build the Company Ontology
Persistent entities, tracked fields, model-suggested fields, and actions grounded in company records.
Learning
Agents that improve with every trace
Investigating agent trajectories to improve company context through agent experience.