Turn tribal knowledge into one self-learning Brain,
for any AI agent
Trail turns your policies, procedures, and the know-how stuck in people’s heads into one Brain. Every rule cites the source it came from, so Claude, ChatGPT, and your own agents all give the same answer.
$50 free credits, no card required.
Powering agents in production at
35% of the Fortune 500 and 10,000+ enterprises
Edge cases undermine agent ROI, causing deployments to fail.
Trail starts with your edge cases: the exceptions that break brittle automations.
01One Trail through all your context
02One rule, every agent on the same Trail
03Every answer shows its Trail
04Every agent decision leaves a Trail
05Every correction redraws the Trail
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.
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.
- 01
Import the SOP
Drop in the process doc your team wrote to onboard new hires — PDF or DOCX.
- 02
Agent auto-built
Trail outlines the agent's role, splits the process into phases, and adds the tools each step needs.
- 03
Review & approve
Every learned rule is explained and traced to the exact text it came from. Approve, then run.
“…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…”
If a rejected invoice states costs include an involuntary change, set accrual to N.
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 IIOngoing security controls
GDPREU data protection
ISO 27001Global ISMS standard
HIPAABAA on enterprise plansFor 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.
- 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 →