Voice and language
Natural conversations across the channels and languages patients already use.
The Iksha platform
The full stack for dependable healthcare agents.
We build the technology between a capable model and a healthcare system that can be trusted in production—from the first patient interaction to the final action and audit trail.
One integrated system
Every layer works toward the same outcome.
Healthcare agents are only as dependable as the system around the model. We connect interaction, reasoning, control and execution so safety and performance can be engineered together.
Healthcare reasoning
Context-aware reasoning shaped around the task, the care setting and the next permitted action.
Policy and guardrails
Clinical protocols, consent rules, data policies and escalation paths enforced during execution.
System integration
Secure connections to scheduling, patient records, telephony and the systems teams already rely on.
Research signal
37 studiesA capable model does not automatically improve a clinical decision.
A systematic review found no robust evidence that simply adding machine-learning decision support improved clinicians’ diagnostic performance.
JAMA Network Open · Systematic reviewIn practice
The system is the product
Iksha evaluates the agent, policy, workflow and human interaction together—against the outcome the deployment must produce.
Healthcare policy technology
Your protocols become the agent’s operating boundaries.
Iksha agents are configured around what is allowed, what requires confirmation and when a person must take over. The result is safer execution without reducing every agent to a rigid script.
01
Adapted to your care model
The same agent behaves differently across providers because its permitted actions, language and escalation thresholds reflect local policy.
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Evaluated before release
Scenarios, edge cases and failure conditions are tested against agreed criteria before an agent reaches patients.
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Observable in production
Interactions, decisions, actions and handovers remain reviewable so teams can improve performance with evidence.
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Designed for controlled change
Agent behaviour is versioned and expanded deliberately as confidence and operational value are demonstrated.
Built for production
Connected, measured and continuously improved.
The platform works with healthcare operations as they are: varied systems, distributed teams, real patients and changing conditions.
Connect existing systems
Integrate scheduling, patient information, telephony and internal tools without forcing a new operating model.
Measure real performance
Track task completion, handovers, policy adherence and the operational outcome behind every deployment.
Improve with control
Use production evidence to expand capability while keeping changes reviewable, testable and reversible.
Safer deployment
Policy is part of execution, not a document sitting beside it.
More reliable operation
The full stack is evaluated as one system against real use cases.
Predictable outcomes
Performance is tied to measurable healthcare and operational goals.
Bring us the healthcare outcome—not a predetermined AI solution.
We will help determine the right agent, controls and deployment path.