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

Every LLM request flowing through Kairos generates a tamper-evident audit record with a SHA-256 hash, compliance check results, DLP scan outcomes, and the full request metadata. Export to CSV or JSON for SIEM ingestion, legal discovery, or regulatory submissions.

• SHA-256 chained hash per record — tampering is detectable
• Every record shows: model, tokens, cost, DLP outcome, mandates evaluated
• Filter by compliance status, DLP findings, model, or date range
• JSON/CSV export — plug into Splunk, Datadog, or your own SIEM

Structure your AI infrastructure around your org chart. Create private command centers for each team or business unit — each with its own members, feature permissions, token budgets, and geographic routing constraints. Give the data science team access to pipelines; restrict customer-facing workloads to approved models only.

• Hierarchical workspaces: org root → command centers → members
• Per-center feature permissions: toggle routing, agents, MCP, compliance, and more
• Hard budget caps per center — enforced at the gateway, not just alerted
• Geographic constraints: restrict processing to specific AWS regions

Surface LLM responses for human review directly in the dashboard. Rate outputs, submit corrections, and flag poor responses. Export the reviewed dataset as structured JSONL for fine-tuning or RLHF pipelines — closing the loop between your deployed model and your quality bar.

• Queue-based review interface — rate, approve, or correct any response
• 5-star rating with freeform correction text per feedback item
• Export reviewed data as JSONL for fine-tuning or RLHF workflows
• Track quality trends over time — approval rate, avg rating, correction frequency

Define a complex AI task with full pipeline configuration — models, DLP, compliance, compression, intent firewall, and MCP servers — then let it run in the background until your completion criteria are met. Watch every iteration in real time on a live canvas, with token and cost tracking, estimated completion, and a full audit trail when it finishes.

• Full pipeline per iteration: DLP → Compliance → Compression → Routing → LLM → Output
• Completion rules: max iterations, max cost, max time, LLM signals done, or manual stop
• Real-time canvas shows live step-by-step execution with per-node metrics
• Completion report: model breakdown, PII audit, compliance framework scores, full output log
• Click any step to drill in, view I/O, and submit RL feedback that improves future runs
• Assign jobs to agents in the Agent Registry for complex multi-step autonomy