Know exactly how your team uses AI, and what it ships.

CloudByte AI tracks Claude Code, Cursor and GitHub Copilot. Every session, prompt and token burn from all three is captured automatically by the installed agent, so you get one view of AI work whichever tool each developer prefers. Git commits from every repo are tracked at the code-output layer too, so you also see the full picture of what ships.

A 3 KB sync agent runs in the background on each developer machine. It reads the local session data of Claude Code, Cursor and GitHub Copilot (never modifies it), captures git commits from every repo you point it at, and pushes the data to your org every 3 minutes. Developers do not change a single command. The whole install is one curl-to-bash or PowerShell line.

Data is isolated per organization at the database level. Google SSO with domain restriction, magic-link auth, and four-tier RBAC are built in. API keys and BYOK credentials are encrypted at rest with AES-256-GCM. Every API call is scoped on the server — even a super-admin on the wrong subdomain only sees that tenant.

Not yet: SOC 2 Type II is in progress. Today CloudByte AI isolates data per organization and project, encrypts API keys and BYOK credentials at rest with AES-256-GCM, enforces four roles on the server for every request and keeps an audit trail of every AI action.

No. CloudByte AI is built for coaching, not surveillance. It captures AI tool activity, never keystrokes, screen recordings, file contents or environment variables. Developers see their own data, there are no leaderboards by default, and people only see the projects they have access to.

On the Enterprise plan, each organization plugs in its own Anthropic API key. Your AI spend hits your Anthropic account directly — CloudByte never proxies billing. Keys are encrypted at rest with AES-256-GCM and only decrypted per-request. There's also a managed-key tier where we provision Anthropic access for smaller teams that haven't set up their own billing yet.

Across our 22-developer pilot, the measured multiplier was 1.8x team-wide average, with per-project peaks at 14.3x and troughs (legacy code) at 0.8x. Backend API work saw 2.5–3x, frontend React 1.5–2x, infrastructure/DevOps barely 1x.

No. The AI provider layer is an adapter with a unified generateText() interface, so new Claude models slot in without dashboard or database migrations. We ship model support on Anthropic's release day.

Under 10 minutes from sign-up. The installer completes in 60–90 seconds per developer, an initial sync flushes any backlog, and the dashboard is live immediately.

Yes, on the Enterprise plan. The stack is a single Next.js and Express service backed by PostgreSQL, containerised and deployed with Terraform into your own AWS account. Air-gapped deployments with in-org model endpoints (Bedrock or a private gateway) are supported.

Only AI session data from Claude Code, Cursor and GitHub Copilot: prompts, tool observations, session summaries, and git commit metadata (SHA, message, diff stats). Commit diffs are sent so AI can summarize each commit, and they are deleted after 5 days, while the metadata and summaries stay. No source code files are uploaded.

Pricing is a flat monthly price per team, never per seat. Free covers up to 5 developers. Starter is $50 a month for up to 20 developers and Team is $100 a month for up to 50, both billed annually, or $10 a month more on monthly billing, with a 14-day free trial and no credit card required. Enterprise pricing is custom. Startups founded within 2 years with under $5M funding qualify for 90% off the first year.