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Voice Platform
Real-time voice agents powered by our in-house LLMs. ASR, TTS, and dialog — all one stack.
- Arabic · English · Kannada
- German · French · growing
- On-prem GPU & CPU
- CRM & telephony native
Kairos is a full-stack AI company — in-house LLMs, voice agents, swarm intelligence, and decision engines. Deployed on-prem, on the edge, or inside your air-gapped environment. Your data never leaves your walls.
Named for the Greek moment of decisive action, Kairos is a full-stack AI company. We train our own LLMs, build the runtime, and ship the interfaces — end-to-end, from voice capture to decision. Seven production-ready products. Four flagship platforms. One promise: intelligence that runs where your data lives.
Real-time voice agents powered by our in-house LLMs. ASR, TTS, and dialog — all one stack.
Sovereign AI deployment. Your models, your servers, your air-gapped environments.
Decentralized multi-agent workflows. Autonomous orchestration across distributed agents.
Turn streaming signals into real-time decisions. Forecasting, anomaly, causal inference.
AI where data is born. Custom engineering for edge environments and industrial systems.
Bespoke models co-built with our internal research & deployment team. Full IP to you.
Voice agents that handle millions of calls. Inbound, outbound, multilingual — native to your telephony stack.
Every signal, a decision. Spark ingests streams, reasons with in-house LLMs, and ships answers to your teams.
Meeting intelligence for online & offline rooms. Capture, transcribe, summarize, and act — in five languages.
Multi-agent social surveillance. A hybrid intelligence network that fuses public signals with sovereign models.
Voice automation at enterprise scale with regional compliance.
Agentic pipelines that replace manual operations end-to-end.
Unified intelligence for leadership — the pulse of your org.
Sovereign AI for public sector. Air-gapped, auditable, trusted.
Real-time anomaly detection for networks, grids, and cities.
Custom AI that integrates with your stack, not the other way around.
Two-week sprint to map your problem space, data, and success metrics.
System architecture, model selection, and deployment topology.
Dedicated squad ships a working pilot in six weeks, not six months.
Production rollout, monitoring, and SLAs — with your team, side-by-side.