Turn tribal knowledge into one context graph
for any AI agent.

Trail converts enterprise policies, procedures, systems, and institutional knowledge into a governed context graph for AI. Every business rule is traceable to its source, giving Claude, ChatGPT, and other agents a consistent, auditable source of truth across teams, systems, and geographies.

Book a demoSee how it works →

Trusted by teams at leading enterprises

  • Ryanair
  • Volkswagen
  • Schneider Electric
  • Juniper Networks
  • Mondelez
  • Roche
  • Bayer
  • Publicis
  • Philip Morris International
  • Topgolf

Edge cases undermine agent ROI, causing deployments to fail.

Trail starts by handling your edge cases — the exceptions that break brittle automations.

  1. 01

    Agents follow the Trail of the Context Graph

    Five kinds of context, connected into one graph an agent can reason over.

  2. 02

    A single Trail that every agent can follow

    Define a rule once; every connected agent works from the same logic.

  3. 03

    Track every Trail that your agent took

    Answers are priced, computed and reasoned from your real records — each cited to source.

  4. 04

    Every agent decision leaves a Trail

    Every run, approval and data access is visible, logged and auditable.

  5. 05

    Every human decision creates a new Trail

    Fix a rule once and Trail updates it — and everything it has touched.

Context graphs

Help your agents solve the most complex problems with context graphs.

A France-based distributor has multiple invoices overdue by more than 90 days. Despite repeated promises to pay, they still haven't paid them — how do we proceed?

One question. Context stitched from five different systems — no single source holds it.

How the Context Graph works →

  • Presentations & PDFs

    Policy context · Which policy applies?

    France → net-60 terms, dunning at 90 days

  • ERP / CRM

    System-of-record context · Which account is this?

    Acme Distribution FR · parent of 3 ship-tos

  • Invoice dates

    Computed context · Exactly how overdue?

    112 days past due · €240k open

  • Emails & call logs

    Conversation context · What did they promise?

    2 promises since March, both broken

  • Playbooks & SOPs

    SOP context · What's the next step?

    Place on legal hold, alert AR lead

Connects to the agent platform you already use.

Point the agents your teams already run at one Trail brain — through a native Model Context Protocol server, native retrievers, or a plain REST/GraphQL API. Add or switch platforms without re-teaching a thing.

AnthropicClaude
OpenAIChatGPT
MicrosoftCopilot
AWSBedrock
GCPVertex AI
JouleSAP
AgentforceSalesforce
LangChain& LlamaIndex
Don't see your platform? Ask us →

Turn a documented process into a working agent — in one upload.

Import a PDF or DOCX SOP. Trail reads it, builds the agent, and shows you exactly why it created every rule.

  1. 01

    Import the SOP

    Drop in the process doc your team wrote to onboard new hires — PDF or DOCX.

  2. 02

    Agent auto-built

    Trail outlines the agent's role, splits the process into phases, and adds the tools each step needs.

  3. 03

    Review & approve

    Every learned rule is explained and traced to the exact text it came from. Approve, then run.

What the SOP says · page 15

“…where a rejected invoice indicates the cost includes an involuntary change and we will not pay the supplier, this ultimately amounts to a non-accrual state…”

The rule Trail extracted

If a rejected invoice states costs include an involuntary change, set accrual to N.

How the Natural Language Rule Engine works →

One brain, connected to every agent your teams use.

Sales, ops, support and back office.

  • brain, every agent1
  • rules cited to source100%
  • from SOP to agentMinutes

Deal desk that prices by your rules

  • Pulls pricing, discounts & packaging from your brain
  • Calculates totals and flags what needs approval
  • Consistent quotes across every rep
  • Every number cited to the source doc
“We put our whole sales context into one Trail brain and connected it to Claude. Now the team gets pricing that follows our rules — and every answer shows exactly which rule it used.”

Security built in, not bolted on.

Your data and your company brain never leave your boundary. Independently audited every year, with compliance controls enforced by the platform — not promised on a page.

Held and current — not roadmap targets.

SOC 2 Type IISOC 2 Type IIOngoing security controls
GDPRGDPREU data protection
ISO 27001ISO 27001Global ISMS standard
HIPAAHIPAABAA on enterprise plans

For developers

Graft: an open-source context graph for your codebase.

Our open-source context layer for large codebases. Graft parses your repo into a dependency graph with tree-sitter — 20+ languages — so coding agents stop rescanning from scratch. Runs fully local, no telemetry.

· Graft — open source ↗
  • 4×cheaper
  • 3×faster
  • 20+languages parsed
  • 247 → 12files to nodes

Works with Claude Code, Codex, Cursor and any file-reading agent.

What you might be wondering.

What exactly is a Trail company brain?

It's one place that consolidates your company context — docs, Notion, Slack, decks, SOPs and systems — and turns it into business rules, each cited to its source. Any connected agent draws on it to answer and act the way your team would.

How do I connect it to Claude or another agent?

Trail ships a Model Context Protocol (MCP) server plus native retrievers for LangChain and LlamaIndex and plain REST/GraphQL APIs. Connect once, and your end users just ask their questions inside the agent they already use.

Can I turn our existing SOPs into agents?

Yes. Upload a PDF or DOCX SOP and Trail builds an agent — outlining its role, breaking the process into phases, adding the tools each step needs, and proposing rules. You review and approve before it runs.

Where does each rule come from — can I trust it?

Every suggested rule includes an explanation and a link to the exact document, page and text it was drawn from. Nothing goes live until your team approves it.

Where does my data live?

Run Trail managed, single-tenant, or fully inside your own VPC. Your data and brain stay within your boundary, and you can pin storage to a specific region.

How long does it take to get started?

Connect a source or upload an SOP and you can have a working, grounded agent the same day.

See it run on your context,
with your agents.

Consolidate your company brain and connect your first agent in minutes. Free to start, no card required.

Prefer to read first? Read the FAQ →