AI solutions for healthcare and pharma operations

All systems deploy on your infrastructure. Patient data never leaves your environment. We follow DPDPA requirements and healthcare data handling best practices including encryption at rest and in transit, role-based access controls, audit logging, and data anonymization where appropriate. No patient data is used for model training without explicit consent and proper de-identification.

Yes. Our systems automate document preparation, formatting, and validation for CDSCO submissions. They check documents against regulatory requirements, flag missing fields or potential issues, and auto-format to specification. Human review remains the final step, but the manual preparation work is significantly reduced.

Accuracy depends on document type and quality. For structured forms (lab reports, prescription documents), AI extraction accuracy exceeds 95%. For unstructured clinical notes with handwriting, accuracy ranges from 85-95% depending on legibility. All AI-processed documents go through a human validation step in clinical settings.

Yes. Indian hospitals face unique challenges including multi-language documentation, TPA-based insurance processing, and specific regulatory requirements. We build with these Indian-specific requirements in mind, including support for regional languages, Indian insurance and TPA workflows, and NABH-aligned processes.

A focused pilot (such as discharge summary automation for one department) takes 2-4 weeks. Broader deployments involving clinical workflows and system integrations take 6-12 weeks. We always start with a pilot in a contained environment before scaling across departments.