LoopIQ is an AI-native governance platform that automates compliance evidence capture for software releases, helping engineering teams ship faster while staying audit-ready. The platform automatically compiles approvals, test results, and quality signals into flawless compliance documentation as work happens. It includes AI-driven project management, test management, and IT service management features, with agentic AI that acts on tasks rather than just advising.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering teams are shipping code 10x faster than the previous year due to AI-assisted development, while the number of compliance frameworks per company has grown 3.2x since 2020. Manual compliance recordkeeping cannot keep pace with this velocity, creating a bottleneck where the human-built evidence chain breaks down and audit readiness suffers.
Solution
LoopIQ provides an AI-native governance platform that automatically captures audit-ready compliance evidence from the work engineering teams already do. The platform records approvals, quality signals, test results, and release certifications as work happens, eliminating manual recordkeeping. It includes AI project management with smart sprint boards and velocity tracking, test management with traceable quality signals linked to requirements, and IT service management that auto-triages tickets and tracks SLAs. Agentic AI capabilities go beyond advice to take action, while automated time tracking and knowledge management round out the workflow. The platform supports the full release lifecycle from idea capture through deployment, with compliance evidence automatically compiled at every stage.
Target Audience
Primary customers are engineering teams and IT auditors at software companies that need to maintain compliance certifications while shipping code rapidly, particularly those managing multiple compliance frameworks simultaneously.
Features
- Automated compliance evidence capture that compiles audit-ready documentation from approvals, test results, and quality signals as work occurs
- Agentic AI that actively acts on tasks including ticket triage, routing, and priority management rather than just providing recommendations
- AI-driven sprint boards with smart prioritization and live velocity tracking for engineering teams
- Test management with every test linked to the specific requirement it validates for full traceability
- IT service management with automated ticket triage, routing, and SLA progress tracking
- Automated time tracking and knowledge management integrated into the development workflow