This page is designed to help you find out whether VATES.jp is good and if it is the right choice for you.
What it is
VATES is B2B AI knowledge infrastructure for developers and organizations. It keeps organizational knowledge human-readable and directly editable, while making it available to AI through a standalone interface, an embeddable widget, an API, and MCP.
How it differs from typical vector-based RAG
Knowledge is stored as structured plain text rather than converted into vector embeddings. There is no vector database or embedding pipeline to maintain.
Three roles
Deployment
VATES can run as a standalone interface, be embedded into a website with a lightweight JavaScript snippet, or be integrated into products and AI workflows through its API.
A remote MCP server is also available for AI-agent access. MCP uses OAuth 2.1, while API access supports API keys. MCP access is read-only and revocable from the console.
Languages
The console, documentation, and public site are available in 23 languages across 9 writing systems. Knowledge can be stored in one language and queried in another.
Operations and security
VATES includes passkeys, 2FA, audit logs, IP controls, per-instance rate and consumption limits, encrypted backups, and configurable data retention.
Pricing
VATES uses prepaid, usage-based billing with no required monthly subscription or monthly minimum. Credit is added in advance and usage is deducted from the balance. Minimum top-up: USD 5.00.
Listed in
Retrieval
Direct observation of structured plain text — no embedding or re-ranking step
Knowledge updates
Effective the moment a line is written; no re-indexing
Knowledge visibility
Plain text, readable and auditable directly
Deployment
Embedded widget (one line of JS) or standalone URL
API
REST with idempotency keys and per-tenant rate limits
MCP server
Remote, OAuth or API key; read-only vates_ask tool
Input formats
Text, logical notation, images and PDFs
Reply language
Answers in the reader's own language
Audit Log
Hash-chained, tamper-evident, CSV export
Billing
Prepaid deposit, no subscription, no monthly fee
Authentication
Passkeys (WebAuthn/FIDO2), 2FA, JWT with session ledger
Access Restrictions
Per-customer IP allowlist and denylist, CIDR ranges
Knowledge is held as structured plain text and interpreted at the moment it is queried. There is no vector database, no embedding step, and no re-ranking. A line written into the knowledge base takes effect immediately, with no re-indexing, and the contents stay readable — you can see exactly what the system holds, and delete a line and verify it is gone.
Fewer moving parts. No vector database to run, no GPU, no per-use embedding API — which lowers both cost and the number of things that can break. Nothing is hidden behind numeric vectors, so answers can be traced to the material behind them. Billing is a prepaid deposit with no subscription and no monthly fee, so it can be tried at small scale and grown without renegotiating a contract.
Two groups. Developers who want to embed conversational AI into their own product through an API, in the same role as Stripe or Twilio. And small to mid-sized businesses that want to run it out of the box — as a widget on their site or a standalone chat — without engineering work. Both are served by the same foundation.
Python and FastAPI on the backend, React with Vite on the front end, SQLite for storage, on Ubuntu with Nginx. Payments through Stripe. Deployed on AWS EC2 behind Cloudflare. Notably absent: there is no vector database and no embedding pipeline in the stack.
VATES is built by STANDOUT Inc. in Okayama, Japan, on a theory its developer worked out independently rather than assembling from existing frameworks. The premise is that meaning is not fixed in a symbol but arises when something is observed — so knowledge is kept as structure and interpreted at read time rather than compressed into coordinates in advance.
A concise formulation has been published as a preprint, IIIS: An Inter-Intelligence Intermediary Syntax for Shared Observation Across Perceptions (https://doi.org/10.5281/zenodo.21374493). The full theory is being prepared as a book.
The three working roles are named after the Celtic oral tradition: bard receives, druid keeps, vates speaks across.
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