Enterprise AI memory that turns your company's work into shared intelligence.
Your teams and agents solve valuable problems every day. XTrace captures the decisions, procedures and context behind that work, then makes the right knowledge available to every authorized team and AI agent.
The gap between an AI pilot and an AI operating model is memory.
Your teams create valuable AI knowledge every day — and most of it disappears when the session ends.
Decisions and lessons stay locked inside individual sessions.
People and agents re-solve the same problem, and you pay twice.
Every team works from different instructions and assumptions.
You can see tool adoption, not what the company is learning.
What changes when AI can build on what your company already knows?
The next person or agent starts from the answer, not from zero.
Proven ways of working become skills and routines anyone can run.
Know what gets reused, what gets repeated and what pays off.
New hires and new agents start with the knowledge already loaded.
Observe. Distill. Share. Activate.
AI sessions, decisions and documents flow in from the tools teams already use.
Work becomes structured facts, decisions and procedures, each traceable to its source.
Permissioned memory spaces for a team, repository, account or workflow.
Proven procedures become skills and routines people and agents can run on demand.
See, learn, do. It's that simple.
Your team's work flows in. What worked gets kept and mistakes learned. What's learned becomes something any person or AI can use.
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Move from isolated AI wins to shared organizational intelligence.
Turn what works in one team into capability for all of them.
Coding agents start with your specs, decisions and past sessions loaded.
Expert know-how becomes versioned procedures people and AI can follow.
Account context follows the customer, not the rep who left.
Structured, versioned memory for your own agents via the Memory API.
Turn AI activity into learned lessons.
Adoption dashboards count licenses and messages. They do not tell you whether your company is learning.
Which teams, tools and memory spaces are actually active.
Which procedures and memories keep showing up in new work.
The tasks you keep paying to solve from scratch.
Shared instructions your agents actually follow.
Share organizational memory without sharing everything.
Enterprise memory only works when access reflects how the organization operates. XTrace lets teams scope knowledge to the appropriate people, agents, repositories, accounts and workflows.
- Scoped by person and memory space
- Viewer, contributor and admin roles
- Multiple workspaces
- SSO and SAML
- Source-linked answers and artifacts
- Custom governance policies
- Guided onboarding
- Custom integrations
- Dedicated support with SLA
Your security and AI governance teams can define what is captured, who can access it and where it can be used.
Prove the value of organizational memory before expanding it.
You do not need to redesign your AI stack. Start with one workflow where context keeps getting lost.
One repeated, high-value process spanning several people or agents.
What context is lost or rebuilt every time.
Capture the work into one permissioned memory space.
Track repetition, reuse and consistency over time.
What happens in an AI working session?
Bring one existing AI workflow, pilot or agent initiative. Together, we will:
- Where context is being lost today
- Which people, tools and agents need access
- Your first shared memory use case
- The controls your organization requires
- Success metrics for a first deployment
No commitment. Bring one real workflow or use case.