Govern every AI call without ripping out the tools your team already uses
Kairos sits between your apps and the AI ecosystem: find shadow AI you can see from your scanner’s placement, enforce policy and redaction before prompts leave, route across the models you already pay for, compress context, and leave an audit trail.
The Right Model. The Correct Context. Every Time.
Illustrative product UI. Not a customer result.
One product, two ways to work
Choose when you first sign in. Switch anytime in Settings. Neither path asks for an AI provider password or creates a provider account for you.
For teams that just want to use AI
Agents, jobs, and simple usage in plain language. An admin connects a model once with an API key. Everyone else inherits it — no keys, no console.
- Chat and automate without a security background
- Models come from your workspace, not a personal signup
- Switch to Advanced when you need the control plane
For security and platform teams
The full control plane: routing, DLP, compliance mappings with per-control status, audit trails, command centers, and the War Room.
- Bring your own provider API keys
- Scope access by command center and role
- Evidence you can open, not a score that ignores configuration
Find the AI you don’t know about
Your team is already using ChatGPT, Claude, Gemini, and more — whether you approved it or not. Sherlock observes known AI destinations visible from its deployment point and estimates cost. Message contents are not decrypted. Coverage depends on where you place it (endpoint, gateway, resolver, or mirror-port).
Metadata-only observation
Destination and byte volume. Message contents are not decrypted.
Priced by device
Estimated cost is attributed to the device Sherlock can see from where you place it.
Then bring traffic under the governed gateway
Point the usage you choose to govern at the same path as the rest of your AI calls.
Free forever on 1 network · Unlimited during the 14-day trial · Metadata-only — message contents are not decrypted
Illustrative product UI. Not a customer result.
One command center for all of it
Discovery, dashboards, agents, jobs, and audit. The frames below are illustrative product UI, not a customer result.
Illustrative product UI. Not a customer result.
Every request flows through one governed path
Whether it comes from an editor, a script, an app, or an agent, the call takes the same path out: inspect, redact, check policy, route, and compress — on to the model you already pay for — and the decision is recorded.
Connect what you already pay for
Link the provider keys you already pay for, then point editors, apps, and agents at one OpenAI-compatible endpoint.
Kairos governs the call in flight
Redaction, policy checks, compression, and model choice happen on the request before the response comes back.
You get the proof (and the savings as a bonus)
An exportable record of the routing, DLP, and policy decisions. Compression and routing often reduce provider spend after that — dollar savings vary by workload and model mix.
Illustrative product UI. Not a customer result.
Illustrative product UI. Not a customer result.
See it on the key you already pay for
A long thread usually carries messages the next question does not need. Trim the sample, or run the same thing on your own key.
Keep Cursor and VS Code. Add governance.
Kairos is a drop-in, OpenAI-compatible gateway. Point your editor at https://api.kairos-ctx.ai/v1, paste a kai_ key, and every completion can be DLP-scanned, policy-checked, routed, and cost-tracked — without a new plugin for OpenAI-compatible clients.
You keep working in the tools you already use. Compliance and cost controls ride along.
One endpoint for editors and agents. Policy and redaction before prompts leave your boundary. Exportable evidence when the board or auditor asks.
Who builds with Kairos
The same governed path serves a developer and a team that needs exportable evidence. What changes is the volume.
One key. Governance on the call.
Point the tools you already use at one endpoint. Context compression is designed to cut input tokens, and a hard cap can stop an overnight agent loop at the budget.
Illustrative product UI. Not a customer result.
Ship fast without losing the plot.
Give each team its own budget and guardrails from day one, so moving quickly never means finding out what AI cost you at the end of the quarter.
Illustrative product UI. Not a customer result.
Governed AI across every business unit.
Command Centers isolate teams under single sign on, each with its own models, policy and spend, and roll up into one posture the board can read.
Illustrative product UI. Not a customer result.
Evidence you can export.
Mapped controls are evaluated on the request, and you can export an evidence pack when someone asks what happened. The pack is evidence — it is not an authorization decision.
Illustrative product UI. Not a customer result.
Everything your agents touch, on one governed path
Models answer questions. Agents take actions, which is a very different risk. Connect a Model Context Protocol server to Kairos once and every agent that reaches for it inherits the same limits, the same redaction and the same meter.
Each agent carries an explicit allowlist of servers and tools. Anything outside it is refused before the call is made, not flagged in a log afterwards.
Bearer tokens, API keys, OAuth and mTLS are all handled at the proxy, so an agent can use a tool without ever being told the secret behind it.
A tool call is metered and recorded the same way a completion is, so the true cost of an agent reflects what it did, not just what it said.
Evidence you can export, not assurances you hope hold
Kairos evaluates mapped controls enabled for a request and records routing, DLP, and policy decisions. Successful non-streaming gateway calls are written to a SHA-256 hash-chained audit trail. When someone asks you to prove what happened, export an evidence pack — instead of digging through screenshots.
Control mappings evaluated on a request
EU AI Act, NIST AI RMF, and OWASP LLM Top 10 are mappings in the product. Kairos evaluates the controls enabled for that request. Availability is not a certification.
DLP strip proofs with tamper-evident records
When redaction runs, Kairos can record what was stripped. Those strip records are tamper-evident and auto-expire after 4 hours.
Policy checks before the model call
Enabled policy checks, including prompt-injection and output-handling mappings, run in the gateway before the provider response is returned.
SHA-256 hash-chained audit records
Successful non-streaming gateway calls are written to a SHA-256 hash-chained audit trail scoped to the organization and Command Center. Export an evidence pack as JSON, or print the audit-proof view to PDF.
Export the evidence pack
Routing, DLP, and policy decisions are recorded. Successful non-streaming gateway calls join a SHA-256 hash chain. Export JSON from the audit-proof API, or print that view to PDF — instead of digging through screenshots.
- SHA-256 hash-chained audit records
- Control mappings evaluated for enabled frameworks
- DLP strip proofs, auto-purged after 4h
Illustrative product UI. Not a customer result.
One platform. On the call.
Paid is self-serve by token volume. Free forever to start. A full trial drops to free, not cut off.
Model routing
Route across the models you already pay for. Rules can use keywords, patterns, intent, and cost.
Context compression
Context compression is designed to cut input tokens. Dollar savings vary by workload and model mix.
Control mappings
EU AI Act, NIST AI RMF, and OWASP LLM Top 10 are mappings evaluated when enabled. That is not a certification.
DLP and redaction
Built-in detectors cover common secrets and personal data, plus custom rules. Strip proofs are tamper-evident records.
Agents
A default Chat agent out of the box — connect your provider keys and chat in seconds. Build custom governed agents in a clean UI or conversationally with Build As You Go.
Semantic Intent Firewall
When intent rules are enabled, Kairos evaluates the purpose of a prompt, not only keywords.
Security Quarantine
Repeat offenders are auto-quarantined by granular rules — scoped by team, source, category, and severity, with warn, ban, or timed auto-release.
Automated Jobs
Describe your goal conversationally with Build As You Go, then let it run autonomously to completion — with live per-iteration cost, token, and compliance tracking.
Sherlock — shadow AI
Observes known AI destinations visible from its placement and estimates cost by device. Metadata only. Message contents are not decrypted. Coverage depends on endpoint, gateway, resolver, or mirror-port placement.
Hard Budget Enforcement
Set hard spend caps per API key, agent, or team. Requests are blocked — not just alerted — when budgets are exceeded.
Projects
Persistent workspaces with personalization instructions, accumulated context, and documents. Swap agents in and out — every chat carries the project’s context.
Pre-Production War Room
Run deterministic parity scenarios against configured Kairos controls, with actual and extrapolated counts kept separate. Provider inference is not executed in parity mode.
Governance-to-RL Feedback
Human-in-the-loop corrections become structured training data. Close the loop between policy decisions and model alignment.
Hash-chained gateway records
Successful non-streaming gateway calls are SHA-256 hash-chained by organization and Command Center. Verification checks that chain. Other audit events stay database records.
MCP servers
Connect Model Context Protocol servers so agents on the gateway can inherit scoped tool allow-lists.
Trust & Geopolitical Overview
Executive dashboard for CISOs and CIOs: inventory, compliance posture, model distribution, and request geolocation.
Command Center RBAC
Hierarchical workspace architecture with scoped privileges, SSO/SAML, and sub-organization isolation for enterprise teams.
Cost & Savings Intelligence
Real-time token usage, per-model cost breakdown, compression savings, latency trends, and projected monthly spend.
OpenAI-compatible API
Point an OpenAI-compatible client at https://api.kairos-ctx.ai/v1 and use a kai_ key. No new plugin for those clients.
Govern. Prove. Then the bill.
Context compression is designed to cut input tokens. Dollar savings vary by workload and model mix.
Govern
Policy and redaction run on the call before it leaves for a model you already pay for.
Prove
Routing, DLP, and policy decisions are recorded so you can export evidence instead of assembling screenshots.
Then, spend
Compression and routing often reduce provider spend. Context compression is designed to cut input tokens. Dollar savings vary by workload and model mix.
The whole platform, in 7 pages
A shareable PDF for you, your CISO or your CFO: the gaps every AI rollout hits, the three steps that close them, real product screens, the full capability inventory and pricing.
- The four gaps in every AI rollout, and the order to fix them in
- Sherlock: how unknown AI gets found and priced device by device
- Real product screens, from the workspace to DLP and the intent firewall
- Every capability included, plus pricing you set yourself on a slider
Simple, Transparent Pricing
Free forever to start. Full trial drops to free, not cut off. Paid is self-serve by token volume.
Start free, use the full trial, then stay on free or subscribe by token volume. Above the self-serve volume, the calculator shows an enterprise contact.
- Sherlock monitoring on 1 network
- 100K governed tokens / month
- Drops in after the trial — not a cutoff
- Unlimited Sherlock networks during the trial
- 250K tokens, then the free plan
- Drops to the free plan — never cut off
- Effective rate drops as you commit more
- Unlimited Sherlock, annual saves 20%
- No sales call — subscribe self-serve
Token pricing calculator
Slide to your monthly token volume. Price appears instantly — all features included.
Volume pricing — starts at $2.00/1M and your effective rate drops the more you commit.
We'll pre-fill checkout with 50M tokens/mo. No credit card to start. Switch to annual (−20%) anytime.
— All platform features included — routing, compression, compliance, DLP, agents, war room, RL feedback.
— Volume pricing: the more tokens you commit, the lower your effective per-1M rate.
— Kairos compresses context by >=25%, reducing tokens sent to your LLM provider on every call.
— Annual prepay applies an automatic discount across the full year.
— You're saving 24% vs the $2.00/1M entry rate at this volume.
Illustrative compression math — at 50M tokens/mo
This demo assumes a 25% cut to input tokens and a fixed model mix. Context compression is designed to cut input tokens. Dollar savings vary by workload and model mix. Not a customer result.
Illustrative product UI. Not a customer result. Assumes a 25% input-token cut, a 70% input / 30% output split, and model prices as of 2026-Q1. The compressor does not guarantee that cut. Dollar savings vary by workload and model mix.
Everything included — at every tier
Govern first, then prove it, then treat compression and routing as a possible reduction in provider spend. Context compression is designed to cut input tokens. Dollar savings vary by workload and model mix.
Control mappings
EU AI Act, NIST AI RMF, and OWASP LLM Top 10 are mappings evaluated when enabled. Not a certification.
Intent Firewall
Semantic checks can run before the model call when those rules are enabled
DLP and strip proofs
Built-in detectors plus custom rules. Strip proofs are tamper-evident records, auto-purged after 4 hours.
SHA-256 audit records
Successful non-streaming gateway calls are hash-chained. Export JSON, or print the audit-proof view to PDF.
Routing
Route across the models you already pay for, including the 100+ models in the catalog.
Context compression
Designed to cut input tokens. Dollar savings vary by workload and model mix. Not a guaranteed percentage.
Human-in-the-Loop review
Route high-stakes or flagged requests to human reviewers before they reach the model
War Room + RL Feedback
Explore dry-run scenarios as estimates before anyone changes production. Export human corrections as JSONL training data for fine-tuning
Not sure how many tokens you need?
Answer 3 quick questions and we'll estimate your monthly usage and apply it to the calculator above.
1/3 — How many users will make AI requests?
Flight Simulator
OpenSee an estimate before you change anything live
Upload a usage file and see an estimate of what would change under sample scenarios. These numbers are estimates, not a bill. They do not change production policy.
Flight Simulator
OpenEstimates only. Upload usage metadata (model, tokens, provider), not prompts or secrets.
CSV or JSON. Metadata fields only. Prompt columns are discarded.
Questions? [email protected] — no sales call required.
Full pricing details →Govern the calls you already make.
Start free. The full trial drops to free, not cut off. Paid is self-serve by token volume.