©Since 2023
©Since 2023






Happy Startups
We help healthcare AI companies build safer, faster, and production-ready clinical AI systems.


Hyderabad, India
(17.3850° N, 78.4867° E)

Transforming raw clinical data into production-ready healthcare AI systems
Whether it's data annotation, model fine-tuning, or clinical safety evaluation, we focus on building infrastructure that makes every healthcare AI safer and faster to ship.
Key advantages
Medical Data Annotation
Medical Data Annotation
Clinical Model Fine-tuning
Clinical Model Fine-tuning
Custom AI Solutions
Custom AI Solutions
AI Safety & Evaluation
AI Safety & Evaluation
© 2026 Retyna AI


Years of Clinical AI Expertise


Years of Clinical AI Expertise


Years of Clinical AI Expertise


Regulatory-ready Deployment

Regulatory-ready Deployment

"Clinical AI fails not from bad models, but from bad data and no validation."
CEO & Founder of Retyna AI
Our Modules
Our Modules
Our Modules
End-to-end Clinical AI Infrastructure
End-to-end Clinical AI Infrastructure
00-1
DataForge: Medical Data Labeling
We annotate all medical data types - imaging, clinical text, and audio - with AI-assist and expert doctor review.
Includes
Medical imaging annotation
Clinical NER & relation tagging
ICD/SNOMED/CPT code tagging
De-identification & PHI removal

00-2
DocIntel: Clinical Document Intelligence

00-3
ModelForge: Fine-Tuning & SLM Development

00-4
EvalSuite: Clinical AI Safety Testing


Launch your clinical AI with us
00-1
DataForge: Medical Data Labeling
We annotate all medical data types - imaging, clinical text, and audio - with AI-assist and expert doctor review.
Includes
Medical imaging annotation
Clinical NER & relation tagging
ICD/SNOMED/CPT code tagging
De-identification & PHI removal

00-2
DocIntel: Clinical Document Intelligence
We extract, structure, and transform unstructured clinical documents into machine-readable, AI-ready FHIR-compliant formats.
Includes
Prescription digitization
Lab report structuring
Discharge summary parsing

00-3
ModelForge: Fine-Tuning & SLM Development
We build custom clinical AI models - from LoRA fine-tuning to full specialty SLM development - on open-source foundations.
Includes
LoRA / QLoRA fine-tuning
Specialty SLM development
RLHF with medical expert feedback

00-4
EvalSuite: Clinical AI Safety Testing
We evaluate and red-team your clinical AI models to detect hallucinations, bias, and unsafe outputs before they reach production.
Includes
Hallucination detection
Safety red-teaming


Launch your clinical AI with us
00-1
DataForge: Medical Data Labeling
We annotate all medical data types - imaging, clinical text, and audio - with AI-assist and expert doctor review.
Includes
Medical imaging annotation
Clinical NER & relation tagging
ICD/SNOMED/CPT code tagging
De-identification & PHI removal

00-2
DocIntel: Clinical Document Intelligence
We extract, structure, and transform unstructured clinical documents into machine-readable, AI-ready FHIR-compliant formats.
Includes
Prescription digitization
Lab report structuring
Discharge summary parsing

00-3
ModelForge: Fine-Tuning & SLM Development
We build custom clinical AI models - from LoRA fine-tuning to full specialty SLM development - on open-source foundations.
Includes
LoRA / QLoRA fine-tuning
Specialty SLM development
RLHF with medical expert feedback

00-4
EvalSuite: Clinical AI Safety Testing
We evaluate and red-team your clinical AI models to detect hallucinations, bias, and unsafe outputs before they reach production.
Includes
Hallucination detection
Safety red-teaming


Launch your clinical AI with us
Faster model training
Faster model training
Reliable platform uptime
Reliable platform uptime
Clinical AI projects delivered
Clinical AI projects delivered

Case studies
Case studies
Case studies
Real results powered by Clinical AI
Real results powered by Clinical AI
How it works
How it works
How it works
A simple process for AI
|
A simple process for AI
|
A simple process for AI
|

Discovery & Scoping
This helps us identify your data gaps, model needs, and compliance requirements.
Clinical data audit
Use case scoping
Regulatory feasibility review
Time Period: 1–2 Weeks

Discovery & Scoping
This helps us identify your data gaps, model needs, and compliance requirements.
Clinical data audit
Use case scoping
Regulatory feasibility review
Time Period: 1–2 Weeks

Data Preparation & Annotation
We structure, clean, and annotate your clinical data with AI-assist and medical expert review.
Data de-identification
Annotation project setup
Quality control & IAA scoring
Time Period: 2–3 Weeks

Data Preparation & Annotation
We structure, clean, and annotate your clinical data with AI-assist and medical expert review.
Data de-identification
Annotation project setup
Quality control & IAA scoring
Time Period: 2–3 Weeks

Model Fine-Tuning & Integration
We fine-tune, evaluate, and integrate clinical AI models into your stack.
Model fine-tuning
Model Development
Clinical safety evaluation
Time Period: 3–5 Weeks

Model Fine-Tuning & Integration
We fine-tune, evaluate, and integrate clinical AI models into your stack.
Model fine-tuning
Model Development
Clinical safety evaluation
Time Period: 3–5 Weeks

Deploy & Monitor
After deployment, we monitor model performance, manage drift detection, and provide ongoing retraining to ensure clinical reliability.
ModelOps deployment
Clinical team onboarding
Continuous monitoring & retraining
Time Period: Continuous

Deploy & Monitor
After deployment, we monitor model performance, manage drift detection, and provide ongoing retraining to ensure clinical reliability.
ModelOps deployment
Clinical team onboarding
Continuous monitoring & retraining
Time Period: Continuous
Serving
Serving
Unlocking clinical AI potential through data, models, and validation.
Unlocking clinical AI potential through data, models, and validation.
startups
startups
worldwide
worldwide

Why choose us
Why choose us
Why choose us
Safe clinical AI. Real results.
Safe clinical AI. Real results.
Healthcare-only focus
Clinical AI infrastructure built exclusively for healthcare - not a general-purpose annotation tool.
Purpose-built for healthcare
Aligned with clinical workflows
Custom-built medical models
Regulatory-aligned integration
© 2026 Retyna AI
















Expert AI team
Specialists who align technology with your business goals.

Happy Startups


Safe & reliable
(©23-26)

Scalable for growth
Clinical AI infrastructure that scales from startup pilots to enterprise production.


Real-time support
From planning to launch and beyond.
24/7

How we grew
How we grew
How we grew
Delivering results over time
Delivering results over time
From our first annotation projects to leading clinical AI infrastructure, we've consistently delivered quality for healthcare builders.
2023
Foundation
Launched MedAIForge with DataForge annotation and DocIntel modules.
2024
Building expertise
Delivered first clinical annotation batches for two Indian health-tech startups.
2022
Expanding horizons
Expanded globally, supporting key industries like healthcare and finance.
2025
Leading with innovation
Introduced AI-driven solutions that improved team efficiency.
2018
Foundation
Started offering strategic guidance to early-stage clients.
Previous
Next
2023
Foundation
Launched MedAIForge with DataForge annotation and DocIntel modules.
2024
Building expertise
Delivered first clinical annotation batches for two Indian health-tech startups.
2022
Expanding horizons
Expanded globally, supporting key industries like healthcare and finance.
2025
Leading with innovation
Introduced AI-driven solutions that improved team efficiency.
2018
Foundation
Started offering strategic guidance to early-stage clients.
Previous
Next


Praveen Srirama
Founder & CEO, Retyna AI


Praveen Srirama
Founder & CEO, Retyna AI

Meet the experts
Meet the experts
Meet the experts
AI Innovation Team
AI Innovation Team
Join our growing team of innovators
Explore the team building India's clinical AI infrastructure or take the next step and join us.
No hidden costs
No hidden costs
No hidden costs
Pricing plans
Monthly
Yearly
Startup plan
Healthcare AI startups beginning clinical data operations.
/Starting
Included features
Clinical AI Evaluation
Clinical Dataset Creation
Medical Data Annotation
Medical Document Structuring
Clinical Knowledge Base Creation
Physician Review & QA

Growth plan
Scaling healthcare companies ready for full clinical AI infrastructure.
/Starting
Included features
Clinical RAG Development
Custom Model Fine-tuning and SLM Development
Medical Document Intelligence
ICD & Coding Automation
Clinical Information Extraction
Healthcare Workflow Automation
Knowledge Graph Development

Custom plan
Get a fully tailored clinical AI solution designed around your unique needs.
Included features
Enterprise Clinical AI Infrastructure
Hospital AI Platforms
Clinical Decision Support Systems
End-to-End AI Product Development
Every healthcare AI company is unique, and your clinical AI infrastructure should reflect that vision.

Dr. Kiran Dhawale
Director, Meditech Solutions
Pricing plans
Monthly
Yearly
Startup plan
Healthcare AI startups beginning clinical data operations.
/Starting
Included features
Clinical AI Evaluation
Clinical Dataset Creation
Medical Data Annotation
Medical Document Structuring
Clinical Knowledge Base Creation
Physician Review & QA

Growth plan
Scaling healthcare companies ready for full clinical AI infrastructure.
/Starting
Included features
Clinical RAG Development
Custom Model Fine-tuning and SLM Development
Medical Document Intelligence
ICD & Coding Automation
Clinical Information Extraction
Healthcare Workflow Automation
Knowledge Graph Development

Custom plan
Get a fully tailored clinical AI solution designed around your unique needs.
Included features
Enterprise Clinical AI Infrastructure
Hospital AI Platforms
Clinical Decision Support Systems
End-to-End AI Product Development
Every healthcare AI company is unique, and your clinical AI infrastructure should reflect that vision.

Dr. Kiran Dhawale
Director, Meditech Solutions
Pricing plans
Monthly
Yearly
Startup plan
Healthcare AI startups beginning clinical data operations.
/Starting
Included features
Clinical AI Evaluation
Clinical Dataset Creation
Medical Data Annotation
Medical Document Structuring
Clinical Knowledge Base Creation
Physician Review & QA

Growth plan
Scaling healthcare companies ready for full clinical AI infrastructure.
/Starting
Included features
Clinical RAG Development
Custom Model Fine-tuning and SLM Development
Medical Document Intelligence
ICD & Coding Automation
Clinical Information Extraction
Healthcare Workflow Automation
Knowledge Graph Development

Custom plan
Get a fully tailored clinical AI solution designed around your unique needs.
Included features
Enterprise Clinical AI Infrastructure
Hospital AI Platforms
Clinical Decision Support Systems
End-to-End AI Product Development
Every healthcare AI company is unique, and your clinical AI infrastructure should reflect that vision.

Dr. Kiran Dhawale
Director, Meditech Solutions
Years in AI Excellence
Years in AI Excellence

"Clinical AI should be safe and reliable. Our mission is to make production-ready healthcare AI accessible to every builder."
Clinical AI models delivered
Clinical AI models delivered
Startups served
Startups served

Client voices
Client voices
Client voices

"The clinical annotation process was smooth and transparent. From scoping to delivery, every step was handled with real medical expertise and a focus on data quality outcomes."
Dr Anu Rao
Clinical Lead

“Clear communication and solid execution - that's what stood out the most. Their clinical AI infrastructure didn't just look good on paper; it delivered measurable model accuracy.”
Rohan Guha
CMO

“The team brought deep clinical knowledge to the table while staying aligned with our engineering goals. A streamlined experience from data scoping to model deployment.”
Meera Krishnan
Head of Data Science

“Every milestone was handled with precision and transparency. They transformed complex clinical validation concepts into practical workflows our engineering team could easily adopt.”
Siddharth Bose
Director, Engineering

“Every milestone was handled with precision and transparency. They transformed complex clinical validation concepts into practical workflows our engineering team could easily adopt.”
Vikram N
Founder & CEO
Review by 18+ startups worldwide
© 2026 Retyna AI






"The clinical annotation process was smooth and transparent. From scoping to delivery, every step was handled with real medical expertise and a focus on data quality outcomes."
Dr Anu Rao
Clinical Lead

“Clear communication and solid execution - that's what stood out the most. Their clinical AI infrastructure didn't just look good on paper; it delivered measurable model accuracy.”
Rohan Guha
CMO

“The team brought deep clinical knowledge to the table while staying aligned with our engineering goals. A streamlined experience from data scoping to model deployment.”
Meera Krishnan
Head of Data Science

“Every milestone was handled with precision and transparency. They transformed complex clinical validation concepts into practical workflows our engineering team could easily adopt.”
Siddharth Bose
Director, Engineering

“Every milestone was handled with precision and transparency. They transformed complex clinical validation concepts into practical workflows our engineering team could easily adopt.”
Vikram N
Founder & CEO
Review by 18+ startups worldwide
© 2026 Retyna AI





- Voices of Trust
We’re here to help
Let's talk about your next clinical AI project
How do we connect?
Clinical AI infrastructure experts
Direct access to us - no bots.
We ask smart clinical questions fast.

We’re here to help
Let's talk about your next clinical AI project
How do we connect?
Clinical AI infrastructure experts
Direct access to us - no bots.
We ask smart clinical questions fast.

We’re here to help
Let's talk about your next clinical AI project
How do we connect?
Clinical AI infrastructure experts
Direct access to us - no bots.
We ask smart clinical questions fast.











