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Flagship · Agentic platform

KriyaOS

An AI business-agent platform that turns missed messages into booked appointments across WhatsApp and web chat, in 12+ languages, grounded in each business's own knowledge.

Client
KriyaOS
Scope
Agent orchestration, eval harness, deploy
Architecture
Agent runtime · Vector search · Serverless APIs
Channels
WhatsApp · Web chat
KriyaOS architecture

Agent runtime for independent businesses

Channels
2
Deploy model
Serverless
Data plane
Multi-region
Responses
Streamed
Conversation intake
Customer asks, agent identifies job-to-be-done.
Agent orchestration
Routes to knowledge, tools, handoff, and response generation.
Knowledge plane
Documents, websites, embeddings
Action tools
Booking, calendar, confirmation
Quality loop
Evals, traces, rollback signals
Channel edge
Web chat + messaging routes
Agent gateway
Auth, tenant context, rate limits
Orchestration core
Routing, memory, tool decisions
Security and production controls
Tenant isolation, managed secrets, traceable tool calls, eval gates, and safe human handoff paths.
guarded runtime
12+
Languages supported
<5min
Agent setup time
24/7
Autonomous front desk
3
Channels unified

The challenge

Service businesses lose revenue to missed messages and after-hours booking requests. KriyaOS needed an agentic operating layer that could hold real conversations, answer from each business’s own knowledge, and safely write to the calendar across channels and languages.

What we built

A production multi-agent system with intent routing, grounded retrieval over business documents, tool-calling into Google Calendar, availability checks, handoff controls, and configurable brand voice. We designed the orchestration so each step is observable, testable, and recoverable.

How it ships

Continuous evaluation gates every deploy. Conversations are traced end to end, latency is budgeted per turn, and the deploy pipeline keeps prompt, retrieval, and tool behavior under regression checks so the team can ship agent updates with confidence.

// kriyaos · live agent
guest: do you have a slot saturday morning?
yes — 9:30 or 11:00 are open. which works?
guest: 11 please
booked ✓ confirmation sent to WhatsApp.
// calendar.write · 18ms · grounded
Technical capability

Agentic systems, not chatbot demos.

Multi-agent routing for booking, FAQ, qualification, escalation, and follow-up flows.

Knowledge-grounded responses with retrieval, source control, and hallucination checks.

Calendar and CRM tool-calling with guardrails around availability, confirmation, and retries.

Eval-driven releases that test conversation quality before production traffic sees changes.

Want an agent like this in production?