The ledger for your AI software factory
Track AI code from prompt to prod. Connect coding agent traces to tickets, PRs, and production outcomes, showing what the work cost and where to improve.
Traces capture the complete picture
Traces are the new unit of work. Accurately capture prompts, tool calls, model choices, file edits, and token spend across your full agentic stack.
Weave related traces together
Link related sessions that planned, investigated, implemented, tested, reviewed, and debugged the work, including dead ends and efforts that never became a PR.
Layer in engineering context
Build on a mature context graph to connect traces to the metrics, teams, tickets, PRs, projects, and outcomes around it.
platform overview
One ledger maps tokens and effort to outcomes.
More use cases
Not just software. The whole package.
Know what good looks like
Benchmarks from 103 teams, so you know where good is and which practices lower cost and rework.
Guidance and FDE
Our engineers build the deliverable with you: the board report, the harness fixes, the capitalization schedule.
Meets you where you work
Ask Src in Slack, get a Monday brief from Playbooks, pull the numbers into Claude Code through MCP.
security
A secure and private system of record.
Enterprise-grade security
Audited controls across infrastructure, access, and the models Span runs.
SOC 2 Type II
Regular Service Organization Controls audits.
Audit logs
Full audit trails, including every read of trace content.
GDPR compliant
Clear data retention and deletion policies.
Zero-retention LLMs
Models that analyze traces keep nothing.
Identity and access
Least privilege, provisioned from your identity provider.
SSO
Sign in through your identity provider.
Audit logs
You set who can read whose sessions, per team and per repo.
SCIM
Provision and deprovision users automatically.
Admin controls
Restrict system-level access to named administrators.
Trace privacy
Private first. Reports are about repos and teams, never people.
Private by default
An engineer's sessions are theirs. Span reports in aggregate at the repo and team level.
Secret and PII redaction
Span strips credentials and personal data before storing a trace.
Not a proxy
The recorder sits on the developer machine, rolled out through MDM. It never touches the request path.
Sensitive-topic screening
Span flags sensitive-topic traces and limits them to approved reviewers.
