Control AI.Accelerateyour teams.
Accelerate your teams with the visibility and control to turn AI from experimentation into measurable performance — safely.
See how AI is used across your engineering org.
Detect risk, enforce guardrails, and stay compliant.
Convert AI activity into measurable output.
Know Your TraceletScore.Grow as an AI Engineer.
TraceletScore is the free downloadable version of Tracelet for individual developers. Understand exactly how you use AI — which tools, which patterns, how deeply — and get a score that tracks your growth into a high-impact AI engineer.
AI usage analytics
See your tool coverage, prompt depth, and workflow patterns across every AI assistant you use.
Growth tracking
Your TraceletScore improves as your AI engineering habits mature — a measurable signal of real progress.
Local-first, private by design
Runs entirely on your machine. Your data stays yours. No company account required to get started.
Top 18% of developers
of organisations that experienced AI-related breaches lacked proper AI access controls.
IBM Cost of a Data Breach, 2025average additional breach cost when shadow AI is involved.
IBM, 2025of organisations have no visibility into how data flows to and from AI tools.
Reco State of Shadow AI, 2025of department-level AI initiatives run without formal security approval.
EY Technology Pulse, 2026of pull requests now merge with no review at all in AI-accelerated engineering teams.
Faros AI Engineering Report, 2026more production incidents per pull request as AI adoption deepens.
Faros, 2026AI Is Accelerating Delivery — and Accelerating Risk. Tracelet Closes the Gap.
AI is now part of everyday work across the enterprise. Developers are using AI to write, debug, test, and review software at unprecedented speed — and 2026 industry telemetry shows that AI-accelerated teams are also shipping more bugs and more production incidents than before, regardless of engineering maturity. Business teams are using AI to draft documents, analyse data, summarise meetings, review contracts, and automate operational workflows. AI agents are beginning to call tools, access systems, and perform tasks on behalf of people.
of employees use GenAI daily — governance is almost entirely absent
— LayerX, 2025of AI agents going live have full security approval
— Gravitee, 2026This creates operational questions every leader needs to answer:
Who is using AI, with which tools and which models?
What information is being shared with AI systems?
Are developers exposing source code, secrets, or infrastructure details?
Are business teams exposing HR, finance, legal, customer, or commercial data?
Are AI agents acting within approved boundaries?
Can the organisation provide audit-ready evidence that AI usage is governed?
Without a control plane, organisations rely on trust, scattered policies, browser restrictions, and manual reporting. Tracelet provides the operational layer needed to govern AI usage at scale.
Tracelet is built around six pillars — each serving both engineering teams and business teams through the same control plane.
See AI tools, models, users, teams, departments, agents, browsers, MCP servers, prompts, commands, files, and workflows in one place.
/01Define and enforce AI usage policies across users, teams, projects, models, agents, and tools — with natural-language policy management.
/02Protect against secret leakage, source code exposure, sensitive business data, dangerous commands, prompt injection, and shadow AI.
/03Standardise AI usage with governed skills, approved prompts, workflow templates, and quality controls — distributed across teams.
/04Measure token usage, model usage, productivity signals, work evidence, and AI-enabled process maturity.
/05Convert AI activity into dashboard-based audit evidence for ISO, SOC 2, GDPR, internal audit, and R&D records.
/06Every Way Your Organisation Uses AI.
For Engineering Teams
Govern AI coding assistants, developer agents, MCP servers, source code access, shell commands, and engineering workflows. Protect secrets and proprietary code without slowing developers down.
See engineering use casesTracelet is the control plane for AI-native software delivery.
For Business Teams
Extend governance to ChatGPT, Claude, Gemini, Microsoft Copilot, and Perplexity in the browser. Enforce department-specific policies for HR, finance, legal, sales, marketing, and operations data.
See business team use casesGovern AI usage across every department.
For Startups & SMEs
Understand AI usage, optimise token spend, standardise workflows, and capture evidence of technical work — including R&D activity records for grants and tax incentives.
See startup & SME use casesUnderstand and improve how your team uses AI.
Compliance Teams Trust It. Security Teams Deploy It. Executives Can Explain It.
Govern AI Usage
Across Your Enterprise.
Request a personalised demo and see how Tracelet maps to your environment, your compliance posture, and your AI tool inventory in under 30 minutes.