Aivery Wind is the audit layer for the AI your team already uses. Keep the tools. Keep the workflow. Gain the chain.
Your team runs Copilot, Harvey, or CoCounsel over live matters. The work is faster. Then someone asks how an answer was reached:
The tools weren’t built to answer. That silence is a liability.
Your AI assistant stays exactly where it is. Wind sits beside it, not in front of it.
Attorneys notice nothing. The trail forms silently while they work the way they already work.
Wind observes — it never answers, never filters, never interferes with a single response.
Instrument the AI you already trust badly.
We’ll ask a real AI one question about a case file — and the audit trail will assemble itself on screen while it works. Nothing staged. Nothing pre-recorded.
Copilot, Harvey, CoCounsel, an internal RAG app — unchanged.
Sits on the tool’s own document channel (MCP). Relays every call byte-for-byte. Observes; never interferes.
Every retrieval becomes a permanent record: query, sources, result, timestamps, SHA-256 anchor.
Timeline by session and matter. Filter, review, export CSV/JSON for compliance.
MCP-standard. Shown live with Claude · Copilot & ChatGPT validation in progress.
Logging wrappers are as honest as the code that remembers to call them — bypassable, editable, silent exactly when it matters. Wind’s ledger is append-only at the storage-engine level: corrections supersede, nothing erases, and the original stays visible forever. Enforced in production since July; replay-verified 400 / 400 exact.
Price locks in permanently when you join. Retails at $2,500/mo after founding slots close.
Aivery builds memory infrastructure for AI systems. The engine under Wind is governed by written conservation laws — provenance, append-only history, bounded work — enforced in code and verified by replay in production.
The same substrate outperforms mem0 — the leading open memory layer — on the LOCOMO long-conversation benchmark, and its retrieval behavior is characterized by controlled, published experiments rather than vibes.
Founded by Christian Matsoukis — a decade of logistics software and GIS before building Aivery. The audit trail is not a pivot; it is what this substrate was engineered to make possible.
Bring one workflow you’d hate to defend in discovery. We’ll point the tap at it, ask it one question, and you’ll watch your own AI become auditable before the call ends.