AI Infrastructure Platform

Everything in one platform.
Visualized, optimized, governed.

Chat with governed agents. Route requests to the right model. Compress context. Enforce compliance. Track every dollar. All from one platform — or via API.

Start Free — No Credit CardBook a Demo
Included

Chat. Build. Reuse.

Agents

Every user gets a default Chat agent: connect your AI provider API keys (OpenAI, Anthropic, Google, DeepSeek, Mistral, Cohere, Groq, xAI…) and start chatting in seconds. Smart model routing picks the best — cheapest capable — model for each ask across every provider you’ve linked, and context compression trims token spend on every message.

  • Default Chat agent — connect keys, chat in seconds
  • Build custom agents in a clean UI, or conversationally with Build As You Go
  • Per-agent governance: allowed models, routing rules, firewall, DLP, compliance, MCP, HITL
  • Saved agents are reusable in Chat, Projects, and Automated Jobs
Agents
8 providers linked

My Agents

Chat

Default

Legal Analyst

Custom

+ New agent

Summarize this contract and flag risky clauses.

routed → DeepSeek V3 · saved 41%−28% tokens

The agreement is a 24-month SaaS contract. Three clauses need attention: auto-renewal (§4.2), unlimited liability (§9.1), and unilateral price changes (§6.3)…

Draft an email pushing back on §9.1.

routed → Claude Haiku · saved 34%

Hi Jordan — regarding the liability cap in §9.1

This Chat

Routing:auto · cheapest capable
Compress:-28% tokens
DLP Scan:clean
Cost:$0.0009
Key:kai_chat…
Included

Change one line. Get everything.

OpenAI-Compatible API

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
Terminal
# Drop-in OpenAI replacement — just change the base URL

from openai import OpenAI

client = OpenAI(
api_key="kai_your_key_here",
base_url="https://api.kairos-ctx.ai/v1"
)

response = client.chat.completions.create(
model="gpt-4o", # Kairos routes optimally
messages=[{"role": "user","content": "Hello!"}]
)

# Response includes routing trace, cost, tokens saved
print(response.choices[0].message.content)

> Routed to deepseek/deepseek-chat · saved $0.0041 · 487ms
Included

22 framework mappings. Control-level status.

AI/LLM Compliance & Governance

Governed gateway requests evaluate the enabled runtime-capable controls that apply to their policy scope. Kairos distinguishes automated controls from manual-required and external/legal obligations; framework availability is not certification and does not mean every mapped control is technically enforceable.

  • EU AI Act, NIST AI RMF, NIST GenAI Profile, OWASP LLM Top 10
  • Prompt Injection Mitigation, Insecure Output Handling, Human-in-the-Loop
  • C2PA Content Credentials, Data Minimization & DPIAs, API Rate Limiting
  • Tamper-evident SHA-256 audit trail · DLP strip proof per call

AI/LLM Compliance

4 active · 22 frameworks available

OK

NIST AI RMF

9 controls · Framework

GV-1.1 PoliciesMS-2.5 TrustworthinessMG-2.2 Risk Monitoring
⚠

OWASP LLM Top 10

10 controls · Security

LLM01 Prompt InjectionLLM06 Info DisclosureLLM08 Excessive Agency
⚖

EU AI Act

8 controls · Regulation

Art.9 Risk ManagementArt.13 TransparencyArt.14 Human Oversight
🔒

Data Minimization (DPIA)

5 controls · Privacy

⚠

Prompt Injection Mitigation

5 controls · Security

PIM-1 Input SanitizationPIM-3 HierarchyPIM-5 Audit Logging
OK

Human in the Loop

4 controls · Oversight

Included

See every dollar.

Usage & Cost Intelligence

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

Cost & Savings Intelligence

Last 30 days · $284.73 actual · $104.82 saved by Kairos

Actual cost
Projected
Today
Without Kairos
$389.55
All requests to GPT-4o
With Kairos
$284.73
Intelligent routing + compression
48,291
Requests
32.4M
Tokens
$9.13
Avg/day
26.9%
Saved
Included

The right model. Every time.

Intelligent Model Routing

Route every AI request to the optimal model based on keyword patterns, regex rules, semantic intent, query length, or pure cost optimization. Configure routing rules per agent or define them in the API.

  • Keyword, regex, semantic intent, and cost-based routing modes
  • Per-request model selection with fallback chains
  • Route to GPT-4o for complex reasoning, Llama for fast cheap tasks
  • A/B test model performance with traffic splitting

Model Routing Rules

6 active rules · semantic routing enabled

Included
INTENTcode generation
gpt-4o-$0.002/req
SEMANTICsummarization tasks
claude-haiku-$0.004/req
KEYWORD/^translate/
gemini-flash-$0.005/req
LENGTH_LT< 500 tokens
deepseek-chat-$0.006/req
REGEX/legal|contract/
gpt-4opremium
ALWAYSfallback
claude-3.5-sonnetdefault
Included

Shorter prompts. The details stay.

Context Compression

Kairos shortens the conversation before it reaches the model, and leaves out the earlier messages the next question does not need. A code, email, or link from one of those messages is still included. The savings figure is the token count from that request, not a fixed percentage.

  • Auto mode adapts compression based on model, query, and governance context
  • Manual mode gives you explicit control over compression targets
  • Codes, emails, and URLs from an earlier message stay in the prompt
  • Compression proof shows exactly what was kept, dropped, and why
Compression Proof
Auto mode
19,360
Raw tokens
13,842
After compression
28.6%
Reduction
19,360
−28.6%
0.91KEPT — Primary evidence (high relevance)
+2,840
0.82KEPT — Structural heading (protected)
+1,203
0.31DROPPED — Score below threshold
-1,972
0.28DROPPED — Insufficient token budget
-2,591
0.22DROPPED — Low entity density
-1,745

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.

Sample thread · illustrative · not a customer result. Dollar savings vary by workload and model mix.Drag to leave the early messages out
Send lessSend the whole thread
Left unsent in this sample
62%
2,920 of 4,680 tokens stay off the bill.
Each bar is how much of the thread you have set aside.
We keep the email so these 50 messages stay yours. The key is not saved.
Included

Context that compounds.

Projects & Reusable Agents

Projects are persistent workspaces with personalization instructions, accumulated context, and documents. Swap agents in and out of a project — every chat inside carries its context. Each agent runs under a dedicated Kairos API key with hard spend and token budgets: requests are blocked, not just alerted, when limits are hit.

  • Persistent context and documents — every project chat picks up where you left off
  • Swap any saved agent in or out of a project at any time
  • Hard spend caps per agent via its Kairos API key — blocked, not just alerted
  • Per-agent token limits stop runaway autonomous loops at the gateway

Projects

4 projects · agents swap in and out freely

Contract Review — Q3Legal Analyst12 docs
↑ Trending up
Agent key budget78%
Accumulated context48k tokens
Support MacrosChat (default)3 docs
✓ Normal
Agent key budget34%
Accumulated context9k tokens
Market ResearchResearch Agent21 docs
⚠ Near budget
Agent key budget91%
Accumulated context112k tokens
Onboarding DocsChat (default)6 docs
✓ Normal
Agent key budget12%
Accumulated context17k tokens
IncludedNew

Upload. Strip. Analyze. Classify.

Secure Document Analysis

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
Document Analysis — Multi-Mandate HighlightingScanning
HIPAAGDPROWASP LLMEU AI Act
Original Input
Patient: John Smith | SSN: 123-45-6789 | DOB: 01/15/1985 | MRN: MRN-09234 | personal data classification: high-risk | sensitive data handling required
Classified Copy (PII = ████, mandates = highlighted)
Patient: ████████████ | SSN: ███████████ | DOB: ██████████ | MRN: ██████████ | personal data classification: high-risk | sensitive data handling required
AI Analysis (on redacted data)
Record describes a Type II Diabetes case with high-risk data classification. HIPAA PHI fields redacted. Recommend HbA1c monitoring and ensure GDPR consent documentation…
⚠ PII: 4 types redactedHIPAA: 3 matchesGDPR: 2 matchesOWASP: 1 match✓ Audit Logged
Included

Block misuse before it reaches the model.

Intent Firewall

Kairos intercepts every prompt and evaluates it against your semantic intent rules before it ever reaches an LLM. Jailbreak attempts, PII extraction probes, role-play exploits, and prompt injection payloads are blocked in milliseconds — not after the damage is done.

  • Semantic analysis of prompt intent — beyond simple keyword matching
  • Pre-built rule sets: jailbreak, PII extraction, role-play exploit, indirect injection
  • Actions: block, warn, mask, or log — configurable per rule and severity
  • Scoped to command centers — different teams get different rulesets

Intent Firewall

5 rules active · semantic analysis on

Rule Name
Severity
Action
Triggers
On

Jailbreak Detection

ignore all previous instructions

criticalblock142

PII Extraction Guard

SSN|address|home phone

highblock38

Role-Play Exploit

act as DAN|ignore ethics

highblock27

Prompt Injection Attempt

system prompt|reveal instructions

criticalwarn89

Sensitive Data Request

password|credentials|API key

mediummask14
310 blocked this month·Semantic mode: on
View audit log →
IncludedNew

Repeat offenders, contained automatically.

Security Quarantine

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

Security & Quarantine

Auto-enforcement on · 3 rules active

7
Open
1
Quarantined
1
Banned
142
Total
Live · Sam Rivera tripping Intent FirewallAUTO-QUARANTINED
violationsthreshold ≥ 5 high+ → quarantine
Dana WhitfieldQUARANTINED

Rule "Strict DLP — Finance": 5 high+ violations

5 viol.
Release Ban
Marcus LeeBANNED

Repeated jailbreak attempts after review

11 viol.
Release
RulesDLP · ≥3 high+ → quarantine · auto-release 24hFirewall · jailbreak → banCompliance · LLM02 → warn
Included

Tamper-evident gateway evidence.

Audit Trails

Successful gateway requests are recorded in a SHA-256 hash chain scoped to the organization and Command Center, with the effective governance hash and request metadata. Verification detects chain inconsistencies; it does not make the underlying database immutable. Export supported evidence to CSV or JSON.

  • 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

Audit Trails

SHA-256 tamper-evident · 48,291 entries

Time
Model
Tokens
Cost
Compliance
Hash
14:22:07
claude-sonnet-4
3,421$0.0182passa3f8c2d1…
14:21:44
gpt-4oDLP
1,840$0.0092pass9d1e7f4b…
14:21:31
deepseek-chat
724$0.0002passc5a2f8e3…
14:20:59
gpt-4oDLP
5,012$0.0251reviewf4b6d9c7…
14:20:18
claude-haiku-4
918$0.0023pass2e9c1a5d…
46,822 passed
1,469 review
Chain verified
Included

Governed tool access for every agent.

MCP Server Management

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

MCP Servers

4 registered · 3 connected

Internal Knowledge Base

mcp://kb.internal

Bearer
searchfetch_docsummarize
Rate limit62%
Postgres Analytics DB

mcp://db.analytics

API Key
queryschemaexplain
Rate limit28%
GitHub Code Search

mcp://github.tools

OAuth
search_codeget_filelist_repos
Rate limit85%
Customer CRM Bridge

mcp://crm.bridge

mTLS
lookupupdate_record
Rate limit7%
Included

One org. Many teams. Full control.

Command Center

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 agents; 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

Command Center

Acme Corp · 4 workspaces · 35 members

P

Product Engineering

18 members · us-east-1

✓ Active
RoutingAgentsMCP
Budget: $2,000/mo64% used
D

Data Science Team

9 members · eu-west-1

✓ Active
AgentsProjects
Budget: $800/mo31% used
C

Customer Success AI

5 members · us-east-1

⚠ Near budget
Routing
Budget: $400/mo88% used
S

Security Research

3 members · us-west-2

✓ Active
All
Budget: $1,200/mo12% used
Included

Stress test before you ship.

War Room

Run deterministic parity scenarios against the same Kairos control functions used by agent and job configurations. See expected versus actual allow/deny decisions across DLP, compliance, intent, Sherlock policy, MCP allowlists, context quarantine, and egress controls before deployment.

  • Executed scenario counts are reported separately from extrapolated counts
  • Current parity mode reports zero extrapolated scenarios
  • Pass/fail reflects expected-versus-actual policy decisions
  • Provider inference, model quality, production latency, and live-provider cost are not executed in parity mode

War Room

Pre-production simulation · 1,950 scenarios

Jailbreak Resistance Suite
2m 14s$0.84
1000 scenarios987 passed13 failed
99%
Prompt Injection Battery
58s$0.31
500 scenarios494 passed6 failed
99%
Context Length Stress Test
1m 32s$1.20
250 scenarios250 passed
100%
Multi-Turn Coherence Check
—$0.18
Running…~40% complete
1,731
Passed
19
Failed
99.0%
Pass Rate
Included

Human review. Better models.

RL Feedback Loop

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

RL Feedback Loop

284 reviewed this week · export for fine-tuning

Explain quantum entanglement simply

Quantum entanglement is when two particles…

claude-3.5✓ Approved

Write a haiku about data privacy

Your secrets drift off…

gpt-4o✎ Corrected

Response was too abstract, user wanted concrete imagery

Summarize this 12-page contract

The contract outlines…

claude-3.5✓ Approved

Generate test cases for auth module

Here are 5 test cases:

gpt-4o✎ Corrected

Needs edge cases for expired tokens

4.1
Avg rating
71%
Approved
29%
Corrected
284
This week
Included

Credentials with teeth.

API Key Management

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

API Keys

4 active keys · scoped budgets enforced

Production Backendprod

kai_prod_8kx2m…f9a1

chatroutingagents
Budget: $500/mo42% used
Data Science Notebookdev

kai_dev_3bw9n…c7e4

chatcompression
Budget: $100/mo78% used
CI/CD Test Runnertest

kai_test_5av3p…d2b8

chat
Budget: $20/mo15% used
Customer Portal APIprod

kai_prod_2yt7r…e6c9

chatcompliancemcp
Budget: $1,000/mo91% used
IncludedNew

Configure once. Run forever.

Automated Jobs

Describe a complex AI task conversationally with Build As You Go — Kairos asks what you need and configures 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 governed flow 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
  • Attach your saved agents to jobs for complex multi-step autonomy

Automated Jobs

Weekly Market Analysis · Iteration 7 of 10

● RUNNING

Tokens

42.1k

Cost

$0.0182

Saved

$0.0053

Est. Final

$0.026

Iteration 7

DLP Scan

Compliance

Compress

Router

claude-sonnet

Output

Iteration 6 Output

Markets showed mixed signals this week with tech leading gains at +2.4%. Notable: NVDA +4.1% on AI infrastructure demand. Sentiment: cautiously bullish…

Completion: 10 iterations · 3 remaining

70%
IncludedNew

Find the AI you don’t know about.

Sherlock — Shadow-AI Network Scanner

Your governed AI runs through Kairos; Sherlock adds metadata-based discovery for traffic visible at its deployment point. A normal endpoint covers itself and traffic routed through it. Broader passive visibility requires correct gateway, routed-host, or SPAN/mirror placement, and encrypted metadata or capture loss can limit detection. Sherlock estimates cost from destination and byte evidence without decrypting message contents.

  • Coverage follows placement: endpoint-local by default; network-wide only when correctly placed on-path or on a mirror/SPAN source
  • Gateway rules block matching Kairos-routed calls; managed hosts-file rules block provider domains on an elevated endpoint; resolver/firewall coverage requires consuming the domain feed
  • Bytes → tokens → dollars is an estimate, with calibration status shown separately
  • Repeated scan windows improve visibility but do not guarantee that every request is captured
  • 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 networks and correct approximate IP geolocation; server reconciliation reduces duplicate estimates
  • 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
Sherlock· Shadow AI Discovery
2 scanners live
Unknown AI spend
$212/mo
Devices using AI
6
Networks
2
Providers
5
Live shadow-AI trafficbytes in flight · colored by provider
192.168.1.42
ChatGPT
192.168.1.63
Claude
192.168.1.17
Gemini
192.168.1.29
DeepSeek
Networks
Office WiFi
Baltimore, MD
$186/mo
Warehouse LAN
Columbia, MD
$26/mo
Scanner fleet
macbook-pro.local scanning
office-server-01 scanning
reception-imac needs restart

Metadata-only · contents never read · continuous 60s windows

heartbeat 42s ago
Token-metered pricing

One price. Every feature. No sales call.

Every capability shown on this page is included in a single token-metered subscription. No feature walls. No per-module upsells. Calculate your price instantly — no contact required.

See pricing calculator Start free trial

14-day full-access trial · 250K tokens included · no credit card · free plan forever after

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