Everything in one platform.
Visualized, optimized, governed.

Kairos speaks OpenAI. Change your base URL and everything else stays the same — your SDK, your prompts, your tools. Kairos handles routing, compression, and compliance transparently.

• Compatible with all OpenAI SDK versions
• Supports streaming (stream: true)
• Function calling and tool use
• BYOK — bring your own provider keys

Deep visibility into token usage, per-model cost breakdown, compression savings, latency trends, and projected monthly spend. Export to CSV. Share with finance.

• Per-model cost breakdown
• Context compression savings overlay
• Projected monthly spend
• CSV export for finance teams

Kairos compresses conversation context before sending to any LLM — automatically identifying and removing low-relevance segments while protecting critical content. Every compression decision is explained in a human-readable proof.

• Auto mode adapts compression based on model, query, and governance context
• Manual mode gives you explicit control over compression targets
• Extractive scoring: segments ranked by query relevance × structural weight × entity density
• Compression proof shows exactly what was kept, dropped, and why

Upload any text document (TXT, CSV, Markdown, JSON, HTML, logs) and Kairos automatically strips all PII and compliance-violating content before the document reaches any LLM. The AI then analyzes the clean content, and your response is delivered alongside a classified copy of the original — with every redacted region blacked out (████) like a government classified file.

• Automatic PII detection across 30+ types (SSN, DOB, MRN, credit cards, emails, IPs…)
• Compliance mandate highlighting: HIPAA, GDPR, OWASP LLM Top 10, EU AI Act, NIST AI RMF — each with a distinct color
• Clean document forwarded to LLM — sensitive data never leaves your perimeter
• Returns classified copy: PII shown as ████, mandate terms highlighted with toggleable colored overlays

When a user repeatedly trips the Intent Firewall, compliance controls, or DLP, Kairos automatically quarantines them — blocking all further LLM usage until an admin reviews the incident. Drill into the exact prompts that triggered each flag, then release or ban. Write granular rules that decide exactly when and how enforcement kicks in.

• Granular rules scoped to the org, a command center (and its sub-centers), or a single user
• Match on source (firewall / compliance / DLP), category (e.g. LLM02, jailbreak, ssn), severity, threshold, and rolling time window
• Choose the action: warn-only, quarantine, or permanent ban — with optional auto-release cool-down
• Drill into redacted offending prompts; admins are notified the moment a rule fires

Register and manage Model Context Protocol (MCP) server endpoints from a single dashboard. Attach authentication, set per-server rate limits, enable DLP scanning on tool outputs, and tie servers to specific API keys or command centers — so agents only access the tools they're authorized for.

• Register any MCP-compatible server: databases, knowledge bases, APIs, code search
• Per-server auth: Bearer token, API key, OAuth, or mTLS
• Rate limits and DLP scanning on every tool call and response
• Bind servers to specific API keys — agents only see authorized tools

Run thousands of synthetic scenario simulations against your agent and job configurations before deploying to production. Test jailbreak resistance, prompt injection defenses, output coherence, and context length stability — with pass/fail metrics, cost tracking, and exportable test reports.

• Pre-built scenario libraries: jailbreak, injection, coherence, stress
• Run 1,000+ simulations in minutes against any agent configuration
• Pass/fail per scenario with diff viewer for failed outputs
• Cost and latency metrics per run — know what production will cost before launch

Create API keys with fine-grained scope restrictions and hard monthly budget caps. Each key can be restricted to specific features (routing, compliance, agents, MCP), environments (prod/dev/test), and dollar limits that block requests — not just alert — when exceeded.

• Scope restrictions per key: limit to chat-only, or enable routing + agents + MCP
• Hard monthly budget caps — requests auto-blocked when the limit is hit
• Per-key usage analytics: requests, tokens, cost, top models used
• IP allowlisting and environment tagging for production safety

Your governed AI runs through Kairos — Sherlock finds everything that doesn’t. Set up one lightweight scanner on any device on a network and it watches every other device — phones, laptops, servers, IoT — for traffic to known AI/LLM endpoints (OpenAI, Anthropic, Gemini, Mistral, Perplexity, DeepSeek, xAI, and more), then estimates the token cost of that unknown usage, attributed to each device. It’s metadata-only: Sherlock reads the cleartext destination (DNS + TLS SNI) and byte volume, never message contents.

• One scanner, whole network: generate a one-line setup command from the dashboard — it installs the scanner, puts it on-path for the LAN, and watches every device on that WiFi/network
• Detects OpenAI, Anthropic, Gemini, Mistral, Perplexity, DeepSeek, xAI, and other AI endpoints — attributed per device by IP, MAC, hostname and geolocation
• Bytes → tokens → dollars: shadow usage is priced with a representative model per provider and rolled into Usage & Cost as "Unknown AI/LLM usage"
• Truly continuous monitoring: nonstop back-to-back scan windows (not periodic checks), so even a single short AI request is caught the moment it happens
• Live traffic stream: watch shadow-AI bytes flow across the screen in real time, color-coded by provider, one lane per device
• Scanner fleet health: every scanner heartbeats each minute — see at a glance which are actively scanning and which need a restart
• Interactive analytics: cost-over-time trends stacked by provider, plus per-IP/device drilldowns with their own timelines
• Name your networks and pin their real location; scanners on the same WiFi/LAN merge into one record with spend deduplicated — never double-counted
• Ignore or delete any network’s costs — you control what counts toward shadow-AI spend
• Privacy-respecting and RBAC-scoped: metadata-only detection, governed by Command Center permissions
• Free forever on 1 network (up to 2 scanners) on every account — unlimited networks and scanners on trial and paid plans