Make every AI session start with your team's standards.
Veriova is the production layer for teams already building with Claude, Cursor, Codex, ChatGPT, or Lovable. It gives every project one shared standard, one Ship Check, one handoff path, and one memory layer your whole team can build on.
Works with
Fast wedge
Run your first Ship Check before changing any team workflow.
Internal proof
Share score cards, context packs, and prototype briefs with stakeholders.
No rip-and-replace
Keep Claude, Cursor, Codex, and your current stack. Veriova layers on top.
Ship Check
Payments v2 · Claude-built · 13 criteria
3 gaps before this is production-ready
Gaps · 3
Auth rate limiting not configured
Error handling & logging incomplete
Observability setup missing
Met criteria · 10
What Veriova does
One loop that turns AI-built work into production-ready work.
Set the production bar. Run Ship Check on real work. Turn gaps into an engineering handoff. Save the decisions back into shared memory. That is the product, and it gets stronger every time your team uses it.
Production Standards + Ship Check
Define your real production bar, run Ship Check against AI-built work, and show exactly what blocks release before engineering inherits the mess.
Payments v2 · Claude-built · 13 criteria
Auth rate limiting not configured
Error handling & logging incomplete
Observability setup missing
Memory
Save the standards, decisions, and architecture rules that Ship Check and handoff should keep using across every session.
PostgreSQL + pgvector for retrieval
Strict TypeScript across all services
Zero-downtime deploy procedure
AI Config
Generate CLAUDE.md, Cursor rules, and Windsurf config from your team's reviewed memory and guardrails — one source of truth for every AI tool.
Knowledge
Sync GitHub repos and docs so AI retrieval is grounded in the code your team actually ships, not hallucinated references.
Team
Invite teammates via link. Shared context, standards, and API access — no key distribution.
Governance
Detect stale or drifted memories before they mislead your AI. Scan for exposed secrets before they leave your workspace.
Secret Redaction
Every response leaving Veriova is scanned and redacted — AWS keys, JWTs, database URLs, and API tokens never leave in plain text.
Session Start
One short project instruction tells your assistant to call veriova_session_start at the start of every conversation, then use standards and Ship Check tools when needed.
How it works
Accumulate, enforce, bridge.
Three moves that turn scattered AI usage into a system your whole team relies on.
Accumulate team context
Connect Claude, Cursor, ChatGPT, or any AI tool via MCP or REST. Every decision, convention, ADR, and runbook stores in a shared layer — searchable by you and your AI in every future session. Connect via MCP and the session start tool runs automatically — no manual recall, no prompting. Context compounds. Repeated prompts disappear.
Works via MCP, REST API, or ChatGPT Actions
Enforce your production bar
Define org-wide criteria for what production-ready means. Score any AI-built feature — a prototype, an experiment, a vibe-coded PR — instantly. See exactly what's missing before anyone commits to ship. Share the readiness card with your team.
Shareable score card — URL you can send anyone
Bridge builders to engineering
Built something on Lovable or Base44 to prove an idea? Veriova turns your prototype into a structured spec — data model, user flows, edge cases, gaps — that engineering can actually work from. Non-technical builders included.
No GitHub required for the handoff flow
Why veriova
Why teams buy this instead of adding more prompts.
Most teams already have Claude, Cursor, and ChatGPT. What they do not have is a shared memory layer, a visible production bar, and a repeatable way to prove AI-built work is safe to ship.
| Capability | Veriova | Manual review | Ship and hope |
|---|---|---|---|
| Automatic context injection via MCP (Claude, Cursor, Windsurf) | — | — | |
| Instant readiness score on AI-built features | — | — | |
| Shareable readiness card (URL you can send anyone) | — | — | |
| Score against your own production criteria | — | ||
| Works across Claude, Cursor, ChatGPT simultaneously | — | ||
| Shared team context — no repeated prompts | — | — | |
| AI Config generation (CLAUDE.md, cursor rules) | — | — | |
| Built-in secret redaction on all outputs | — | — | |
| Team invites & shared workspace | — | — |
Manual review = hiring a developer to audit your AI-built code. Averages $500–$2,000 per feature and takes days.
Security
Enterprise-ready from day one.
Built with security-first principles so you can trust it with your most sensitive context.
Encryption & isolation
All data encrypted at rest and in transit. Each project is fully isolated with its own namespace.
Role-based access
Reader, Reviewer, Admin roles with project-scoped API keys. Superadmin for global oversight.
Audit logging
Every API call, memory change, and key event is logged with timestamps and actor attribution.
Secret Redaction
Outbound scanning scans every response leaving Veriova and redacts detected AWS keys, database URLs, JWTs, API keys, and other sensitive values.
Your team's context layer, ready in minutes.
Connect one AI tool, save the project rules you repeat most, and run a Ship Check on something your team already built. That is usually enough to know whether Veriova earns a permanent place in the workflow.