Features

Fourteen capabilities. Every layer inherits them.

Four define the Enterprise OS moat — memory, explainability, trust, and an unbreakable audit chain. Ten power the intelligence platform beneath — challenge loops, confidence scoring, live signals, and more. A platform is not a list of features. A platform is what every tool inherits by default.

Enterprise OS Moat

The four things that make KAIRO an OS, not a dashboard.

These are baked into the architecture — not bolt-ons. They apply to every decision the system makes.

Organizational memory + semantic recall

A living knowledge graph connects every entity in the business — suppliers, accounts, decisions, people, policies. Semantic recall finds what matters by meaning, not keyword. The system remembers how your business thinks.

Knowledge graph with bitemporal edges — every relationship has a valid_from and valid_to
Semantic embeddings on every entity and memory episode
Recall returns confidence-ranked results by semantic similarity, not exact match

Explainable decision core

Nothing executes as a black box. Every recommendation carries its evidence trail, confidence score, and the policies it evaluated before acting. If KAIRO cannot explain a decision, it does not make it.

Decision DNA policy engine: leaf / all / any / not rule trees, evaluated in order
Confidence and full evidence trail stored with every decision outcome
Complete decision log — queryable by any operator with the right role

Trust Engine

Autonomy is earned, not assumed. High-value actions pause for human approval by default. As outcomes prove quality over time, the Trust Engine widens what the system is allowed to do on its own — and narrows it again if quality slips.

Outcome learning: realized quality vs. predicted quality, measured per action type
Per-action autonomy widening based on the rolling trust score history
Every gate decision logged with the human who approved it and the timestamp

Tamper-evident audit chain

Every audit entry is SHA-256 hash-linked to the one before it. The chain is verifiable at the database level — no retroactive edits, no missing records, no gaps. Built for the compliance review you have not had yet.

prev_hash → row_hash chain enforced across every audit_log entry
kairo_verify_audit_chain() verifies integrity from any point in the chain
Advisory lock ensures no two writes race the serial hash sequence

Intelligence Platform

Ten platform capabilities every tool inherits.

The commercial intelligence layer — live in production today, running across 460+ tools.

5-agent challenge loop

Before any output reaches you, it goes through five rounds of peer critique. The version that ships is the one that survived.

Five rounds per run, each owned by a different agent
Runs on the cost-optimized worker tier (~$0.01 per round)
Default path on every tool run, not a premium upsell

2,900+ agent workforce

A real org chart, not a flat pool. A 601-strong company roster leads and governs, and every tool gets its own dedicated crew on top — thousands of specialists in all.

Company roster: 1 CEO, 6 managers, 30 leads, 300 specialists, 264 workers
Plus a dedicated 5-agent crew on every one of 460+ tools
Six departments: SDR, Marketing, Research, CS, Ops, Executive

Hybrid model routing

The right model for the right task. Strategic work goes to the premium tier. Volume goes to the worker tier. Search goes to the fast retrieval tier.

Premium reasoning tier for strategic decisions and writing
Cost-optimized worker tier for volume and parallel work
Fast retrieval tier for live grounding and search

Confidence scoring

Every output ships with a confidence number and an explicit list of gaps. You see what the platform thinks of its own answer.

Per-claim confidence on factual outputs
Explicit data-gap callouts when the platform does not know
Score visible inline, not buried in metadata

Cost transparency

Exact dollar cost per run, visible before you run. No surprise bills. No black-box pricing.

Pre-flight cost estimate on every tool surface
Per-run actual cost recorded after delivery
Account-level spend dashboard in the control room

Human-in-loop gates

Customer-facing, financial, and irreversible actions are gated by humans. The rules are encoded in the platform code, not in policy.

231 agents human-gated, 82 human-notified, 288 auto-execute
Drafting is auto-execute, sending is human-gated
Hard-coded categories: customer, financial, irreversible, judgment

Deliverable exports

Every output ships as a clean PDF or polished slide deck. Email it, share it, drop it in a deck. Done.

PDF export on every tool surface
Slide deck export on intelligence and strategy tools
Plain markdown export for the docs and content tools

Live signals

Funding rounds, hiring spikes, tech-stack adoption, leadership changes. Triggered in real time, routed to the right tool.

Funding events detected within hours of public filing
Hiring intent surfaced from job-posting velocity
Tech adoption flagged at install time, not press release time

Multi-source intelligence

Aggregated public and verified-vendor data, reasoned over by the agent workforce. Not single-source, not single-model.

Public web, social, news, and review signals at the base layer
Verified contact and signal vendors at the enrichment layer
Cross-checked and confidence-scored before delivery

Full audit trail

Every run logged. Every gate decision recorded. Reviewable, exportable, queryable. Built for the compliance review you have not had yet.

usage_events table records every tool_run with user, key, and timestamp
Gate decisions logged with the human who approved
Export to CSV for billing, audit, or investigation

Try it

Fourteen capabilities. One platform.

Every one of these is live in production today. Start with a free tool and watch the capabilities stack — or step straight into the Enterprise OS and see them all working together.

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