The AI coding assistant your security team can approve.
Speedwave wraps Claude Code, Cursor, or your AI assistant in a hardened workstation container — so you can ship at AI velocity without a security review, a vendor approval, or an NDA. Your API keys go directly to Anthropic. Nothing passes through Speednet.
Three problems every developer in a regulated environment knows.
Speedwave removes each of them without asking you to change your coding assistant.
Shadow AI
You are already using AI — Claude.ai, ChatGPT, Copilot — outside an approved channel. That puts credentials, customer data, and proprietary business logic in an unaudited path. Speedwave is the sanctioned alternative that is actually useful.
Credential and context leak
When your AI assistant reads your project directory, it can access .env files and SSH keys. Speedwave's container isolates what the assistant sees — secrets stay outside, your code is inside. 22 sandbox-escape patterns blocked.
Code review bottleneck
Every PR generates manual review cycles that could be automated. Security, test coverage, SOLID, DRY — these are pattern-matching tasks. 13 specialised agents run them in parallel before a human opens the PR.
What Speedwave gives every developer.
Six capabilities, one installer. Works alongside the assistant you already use from minute one.
One installer, no IT ticket
One package (.dmg / .exe / .deb). Lima or WSL2 bundled. No Docker Desktop, no Kubernetes, no infrastructure team. Installed on your workstation in under 10 minutes.
Hardened container
Your AI assistant runs inside a Speedwave container — isolated from SSH keys, .env files, and other projects. File system access limited to the current project. 22 sandbox-escape patterns blocked.
13-agent code review pipeline
Every commit reviewed by 13 specialised agents in parallel: security, test coverage, SOLID, KISS, YAGNI, DRY, duplications, silent failures, comments, documentation, type design, simplifications, project conventions.
PII tokenisation
PESEL, NIP, IBAN, phone numbers, email addresses, card numbers — tokenised before reaching the model. Tokens are stable within a session and reversed locally. The model never sees real customer data.
Local LLM support
Ollama and LM Studio supported as LLM backends — for teams that cannot route AI traffic to external services due to network policy, data classification requirements, or DORA exit strategy.
Full audit log
Every AI action logged: READ, WRITE, DELETE, with timestamp and attribution. Zero configuration. Your CISO gets a complete trail without any work on your end.
Ready to see it in your BFSI environment?
Book a 30-minute scoping call and we will show you Speedwave running alongside Claude Code in a BFSI environment.