Why Healthcare?

The healthcare sector faces unique challenges - from rising costs and regulatory complexity to fragmented data and stretched resources. With our proven rapid-prototype approach, you can:

Reduce Administrative Burden

Automate clinical documentation, discharge summaries, and operational workflows so care teams can focus on patients.

Unlock Clinical Intelligence

Turn unstructured EHRs, lab reports, and medical literature into searchable, actionable knowledge.

Deploy Privacy-First AI

Keep patient data secure with private, HIPAA-compliant, and on-premises AI infrastructure.

Accelerate Diagnostics & Research

Empower clinicians with fine-tuned medical models, radiology assistants, and citation-backed knowledge bases.

Book a Healthcare AI Discovery Session

Explore Healthcare AI Solutions

Generative AI Solutions for Healthcare | GenAI Protos

GenAI Protos builds generative AI and agentic AI solutions for healthcare - clinical decision support, medical document automation, RAG-powered diagnostics, and enterprise AI deployment.

Enterprise AI for Healthcare Organizations

AI ENGINEERING FOR HEALTHCARE

Build secure AI solutions that reduce clinical workload, accelerate diagnostics, automate healthcare operations, and keep sensitive patient data protected.

Private AI

Deployment

NVIDIA

AI Expertise

Fine-Tuned

Healthcare Models

Enterprise

RAG

Human-in-the-Loop

AI Workflows

Protein Structure Generation

Protein Structure Generation is an AI-powered platform that predicts high-fidelity 3D protein structures from amino acid sequences using NVIDIA BioNeMo AlphaFold2. It simplifies complex protein folding through validated, asynchronous prediction workflows, enabling faster and more accessible protein analysis for pharmaceutical and bioinformatics research.

AI Protien Folding

Bioinformatics

Protien Structure Prediction

Drug Discovery

Healthcare Image Analysis

Healthcare Image Analysis is an Edge AI solution that processes medical images directly on edge devices using optimized deep learning models. It delivers real-time, privacy-preserving analysis without cloud dependency, enabling low-latency results, offline operation, and secure operation across clinical imaging workflows.

Medical Imaging AI

Edge AI

On-Device Analysis

Data Privacy

Fine Tuned Private Model

Fine Tuned Private Model is an AI-powered clinical documentation solution that transforms unstructured visit notes into standardized, protocol-aligned 8-section summaries using a fine-tuned Google Gemma 3 SLM. It delivers structured outputs in under a minute with SOP-aware validation and secure on-premise or cloud deployment.

Clinical Documentation AI

Fine-Tuned SLM

Clinical Visit Summaries

Protocol Compliance

Clinical Documentation Takes Too Much Time

Clinicians spend hours on documentation instead of focusing on patient care.

AI-powered summarisation

Automated documentation

Voice to clinical notes

Fine-tuned medical LLMs

Healthcare Knowledge is Scattered

Important information is buried in EHRs, legacy systems, and knowledge silos.

Enterprise RAG

Medical knowledge assistant

Clinical document intelligence

Medical Imaging Workflows are Slow

Radiologists manage high volumes with increasing pressure and complexity.

Computer vision analysis

NVIDIA MONAI models

Human-in-the-loop review

Faster diagnostic workflows

Clinical Research Documentation Is Manual

Research teams spend excessive time creating summaries, reports, and compliance docs.

Fine-tuned clinical models

Automated trial summaries

Protocol-ready automation

Compliance documentation

Patient Data Must Remain Private

Public AI tools cannot be used for health data due to privacy, compliance and governance.

Private AI deployment

On-prem & air-gapped

HL7 / FHIR-ready tools

Enterprise-grade security

Legacy Systems Slow Innovation

Disconnected systems and manual workflows make modernisation efforts difficult.

AI agents & automation

System integrations

Intelligent data processing

Modern workflow design

Clinical Documentation

Manual typing and templates

AI-assisted summarisation and documentation

Clinical Knowledge Search

Keyword search across multiple systems

Enterprise Medical RAG with semantic search

Medical Imaging

Manual review by specialists

AI-assisted image analysis with human-in-the-loop

Clinical Research

Manual documentation and analysis

Fine-tuned research assistants and automation

Patient Support

Call centres and static FAQs

AI agents for patient queries and engagement

Sensitive Healthcare AI

Public cloud limitations

Private, on-prem & sovereign AI deployment

How much does it cost to develop an AI healthcare virtual assistant?

The cost depends on the assistant's capabilities, integrations, AI models, data requirements, security controls, and deployment environment. We scope the solution around your specific workflows and can begin with a focused prototype before moving to production.

Can you build a custom AI healthcare virtual assistant for our organization?

Yes. We build custom AI healthcare virtual assistants for patient support, appointment scheduling, intake, clinical documentation, knowledge retrieval, follow-ups, and other healthcare workflows. The assistant can be designed around your organization's processes, systems, and requirements.

Can an AI healthcare virtual assistant integrate with our EHR and existing systems?

Yes. We can integrate AI assistants with EHRs, scheduling platforms, patient portals, enterprise applications, and other healthcare systems. Depending on the architecture, integrations can support standards such as HL7 and FHIR.

Can you build a HIPAA-compliant AI healthcare virtual assistant?

We can architect healthcare AI assistants around applicable privacy, security, and compliance requirements, including HIPAA-related requirements for U.S. healthcare environments. Security can include controlled access, encryption, auditability, and appropriate data-handling safeguards.

Can AI healthcare virtual assistants be deployed privately or on-premises?

Yes. We can design private AI deployments for healthcare organizations that require greater control over sensitive data and AI workloads. Depending on the requirements, solutions can run in private cloud, on-premises, at the edge, or in controlled environments.

Let's Build AI That Improves Care, Outcomes and Operational Efficiency.

Whether you're modernizing clinical documentation, accelerating diagnostics, improving research workflows, or deploying secure Private AI - our team is ready to help you move from idea to impact.

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