Agent runtime
Voice, reasoning, tools and workflow state operating as one real-time system.
Healthcare-native agentic AI
Iksha Labs is an agentic AI company building the full stack for healthcare: voice, reasoning, policy controls, evaluation and deployment.
The company behind Krisper
Krisper is our flagship healthcare voice-agent platform. It manages appointments, follow-ups and care coordination while operating within each provider’s policies.
Explore KrisperWhat we are building
We work below the interface, where agent behaviour is controlled, tested and improved. These capabilities form one proprietary healthcare agent stack.
Voice, reasoning, tools and workflow state operating as one real-time system.
Healthcare protocols, permissions and escalation logic embedded into agent behaviour.
Purpose-built testing for safety, reliability and outcome performance before and after deployment.
Agent behaviour grounded in how patients, care teams and provider operations actually work.
The product is not a conversation. It is an agent that can act safely and produce a dependable outcome.
The team
Our product, research, infrastructure, safety and healthcare teams work as one system. The people defining agent behaviour are close to the people measuring what happens in production.
Study real interactions, edge cases and clinical boundaries before changing agent behaviour.
Connect models, tools, policies, evaluation and runtime evidence in one engineering cycle.
Measure outcomes continuously and turn evidence into safer, more capable agents.

Iksha Labs
Founded in 2019 by Hitesh Ganjoo, Iksha Labs brings together agent engineering, healthcare technology and applied AI around one long-term mission: make intelligent systems safe enough to carry real responsibility in care.
Follow Iksha LabsWork with us
If you care about agent infrastructure, voice, safety, clinical systems or the difficult operational problems between them, we would like to hear from you.
Bring us the workflow. We will show you how the system can operate safely in production.