Build AI agents
you can trust
Inteleto is the engine for vertical AI agents. Ground every answer in your knowledge base, enforce it with a blueprint, and get a full evidence trail on every run.
Built for the workflows where wrong answers are expensive
CONTRACT INTELLIGENCELEGAL REVIEWCUSTOMER SUPPORTCOMPLIANCEPROCUREMENTCLAIMS INSPECTIONM&A DILIGENCEAML ALERTSRESUME SCREENING
CONTRACT INTELLIGENCELEGAL REVIEWCUSTOMER SUPPORTCOMPLIANCEPROCUREMENTCLAIMS INSPECTIONM&A DILIGENCEAML ALERTSRESUME SCREENING
One engine, configured per vertical
Knowledge base, blueprint, and case — the same three building blocks power a legal reviewer, a support agent, or a procurement analyst. Only the configuration changes.
Blueprint Studio
Configure the agent, not the prompt
Define knowledge bases, instructions, and task output contracts once. Every case that runs against the blueprint inherits them.
Permission-aware by default
Retrieval respects source-level permissions and PII masking on every run, not as an afterthought.
Containment layer
Sub-100ms retrieval
Hybrid vector and keyword search over your knowledge base, tuned for latency at enterprise scale.
The problems people actually hire us for
Nobody buys an agent platform. They buy their way out of one of these.
missing
Your people read documents your software should read
Adjusters, reviewers, and analysts spend the day extracting the same fields by hand. Get structured, cited, reviewable output instead — plus the list of documents that never arrived.
See how it works→
PR
DG
Your AI knows things this user must not see
A shared corpus and a chatbot is a data leak waiting for one typo. A missing attribute should narrow retrieval to nothing — never widen it to everything.
See how it works→
It answers confidently when it has nothing
Hallucination is a demo nuisance until it's in a legal memo. Ground every claim in a cited quote, and make an empty scope refuse instead of guessing.
See how it works→
pinned · 2024-03-11
Prove what your AI decided two years ago
The prompt changed, the model was deprecated, and a regulator wants to know why. Pin the evidence and the version on every run so it stays explainable.
See how it works→
Your agent is 80% right and nobody knows how to move it
Prompt-tweak roulette gets you to a plateau and stops. Turn every reviewer correction into a golden example and a regression test instead.
See how it works→
CoveredReview
The rule changed. Which of your 40,000 cases are now wrong?
A sublimit moves and every prior decision is in question. Re-check at scale and surface only the cases whose outcome actually changed.
See how it works→
IGNORED
A document told your agent what to do
Every upload, ticket, and crawled page is a potential instruction to an attacker. Treat retrieved content as data, never as instruction.
See how it works→
9,000 / 9,000
Top-k can't prove absence
"Confirm no contract has a change-of-control clause" isn't a retrieval question. Run every document and report coverage as a number, not a hope.
See how it works→
Appeal
The person the decision is about has a right to know why
Lending, hiring, and insurance subjects have a legal right to an explanation — without seeing internal scoring or another candidate's data.
See how it works→
breaker tripped
One bad prompt shouldn't bankrupt you
A recursive tool-call loop can turn one session into a five-figure bill overnight. Enforce budget caps and circuit breakers before it happens.
See how it works→
9mo
2wk
Nine months of plumbing before you ship anything
Every vertical AI product rebuilds the same ingestion, permissions, and audit layers. Declare a blueprint instead, and ship the part that's actually yours.
See how it works→
61%
Records & operationsTwenty years of paper your AI can't read
Decades-old scans sit outside every AI system because nobody trusts the OCR. Digitize with per-page confidence and human routing on the low-confidence cases.
See how it works→
Solutions for every enterprise knowledge challenge
Purpose-built retrieval products for the use cases where grounded AI answers matter most.
Enterprise Policy
Policy Search
Find any internal policy in seconds with exact source citations across PDFs, SOPs, and HR docs.
Learn more→
Regulatory ComplianceCompliance Hub
Retrieve grounded compliance answers with full audit trails and source confidence scoring.
Learn more→
Customer SupportSupport Knowledge
Turn runbooks, manuals, and tickets into an AI support brain for instant grounded resolutions.
Learn more→
Legal & ProcurementContract Intelligence
Extract clauses, obligations, renewal alerts, and risk scores from any contract instantly.
Learn more→
Knowledge ManagementKnowledge Layer
One AI search across Slack, Jira, Confluence, and Notion with multi-source citations.
Learn more→
Research & AnalysisResearch Workspace
Combine web search and private documents into one AI research environment with evidence synthesis.
Learn more→
Supply ChainProcurement Intelligence
Retrieve vendor contracts, invoices, pricing, and renewal risks from a single AI interface.
Learn more→
Document IntelligencePDF Search
Semantic search across massive PDF archives with OCR, chunk-level retrieval, and highlighted citations.
Learn more→
Developer InfrastructureRetrieval API
Production APIs for hybrid search, reranking, citations, and grounded retrieval at enterprise scale.
Learn more→
Every answer traces back to evidence

Knowledge bases
Ingest documents from any source and keep them permission-aware, versioned, and searchable across your whole organization.
Blueprints
Define instructions, task output contracts, and knowledge sources once. Every case that runs against a blueprint inherits the same rules.
Cases & runs
Chat and tasks share one run shape, so every conversation and every scheduled job is logged, replayable, and auditable the same way.
Evidence, not guesses
Chunks, pinned tool results, and media regions back every claim so you can trace an answer to the exact source it came from.
Full audit trail
Every run is the trace — no separate logging pipeline. Replay any answer and see exactly what evidence and instructions produced it.
No absence claims
Agents are stopped from asserting an exhaustive answer off partial retrieval — a hard check on every retrieval task, not a suggestion.
“No absence claims.” If an agent hasn't seen the evidence, it doesn't get to guess. Every answer traces back to a source you can check.
A design principle / baked into every run



