The learning backbone for AI deployment companies


From customer data to validated workflows and deployable agent skills.

All the context, one ingestion layer.

One lightweight installation captures the day-to-day work that never reaches a database. That includes screen recordings, audio, files, applications, and agent activity.

Connect the customer’s entire SaaS stack alongside it, and Combined handles the processing, identity, permissions, and PII required to make it usable as AI context.

Validated workflows and deployable skills.

Combined transforms raw customer data into evidence-backed episodes, proofs, decisions, exceptions, and workflows.

It asks employees for clarification, validates what it learns, and produces ready-to-deploy agent skills.

Plug-and-play, or fully adapted.

Start with Combined’s ready-made ingestion and learning pipeline, or shape every stage around the way your team already deploys.

Configure data sources, permissions, analysis, review flows, skill outputs, and validation for each customer without rebuilding the underlying infrastructure.

Install once on an endpoint to record screens, calls, files, clicks, app state, and agent activity. Connect the full SaaS stack with identity, permissions, and PII handled.

Replay a customer case exactly as it happened, ask the employee why a decision was made, then extract the validated workflow, proof, and deployable skill.

Run it plug and play or fit it to your stack. Feed every agent run and business outcome back in to verify results, catch regressions, and improve the next release.

FROMevidenceTO OUTCOME

See every episode as evidence

Open a chronological evidence timeline across screen context, audio, human input, agent activity, and memory. Inspect every event’s actor, application, timestamp, artifact, and provenance.

audited
8 of 8 eventsSources
Evidence distribution4:28:57.518 PM to 4:32:22.019 PM
Chronological events8

accessibility

Screen context
No media

evt_01K7STW11R3BF3F3WNBC5GQZ

4:28:57.518 PM

Recorded context event

Customer context and visible support controls captured before the exception was resolved.

Actor
Member · maya.chen
Confidence
96%
Application
msedge.exe
Window
Orbit Support Desk · Profile
URL
https://support.example.com/cases/1047

Evidence provenance

Verified across 1 capture manifest and 1 signed bundle.

No binary artifact is attached to this event.

Watch the Brain build a workflow

Combined turns observed episodes into steps, decisions, branches, exceptions, and recovery paths. When evidence is incomplete, the Brain asks an employee for clarification instead of inventing a company rule.

Workflow map

Canonical path and retained branches. Width does not imply frequency because traversal counts are not stored yet.

Customer exception opened
Collect account evidence
Verify policy and permissions
Resolution approved
If evidence is incomplete
Ask employee for clarification → Attach validated response
Validated recovery path

Measure every release against outcomes

Compare skill releases against verified business outcomes with sample counts, success rates, attention rates, average scores, and measured impact against baseline.

Release impact351 evaluated · 8 excluded3 release groups
Workflow metricReleaseSamplesVerified successAttentionAverage scoreImpact vs baseline

Resolve order exception

Verified business outcome

Order Resolution · v6

release_order_resolution_v6

12283%7%84%

Resolve order exception

Verified business outcome

Order Resolution · v7

release_order_resolution_v7

18494%3%91%

Recover failed fulfillment

Verified business outcome

Recovery Agent · v4

release_recovery_agent_v4

9689%5%87%

Captured with explicit consent. Governed by customer identity, permissions, PII policies, and complete data isolation.

Your team is about to10x itself.