Members wait less. Patients trust more. Drugs reach market faster.

We build AI training data for healthcare payers, providers, and life sciences, created by the domain experts who know what downstream accuracy actually costs.
Members wait less. Patients trust more. Drugs reach market faster.

Frontier

AI Lab

Leading

Smartphone Maker

Major

Social Platform

Top GenAI

Assistant Maker

Leading

Search Engine

Leading Global

Ecommerce

Frontier

Robotics Studio

Iconic

Smart Eyewear

World-Leading

Creative AI Platform

Premium

Automotive AI

Top-20

US Mortgage Lender

Major

Crypto Trading Platform

Global

Banking-as-a-Service

Emerging

BNPL Fintech

Global

Card Issuer

Tier-1

FinCrime Portfolio
WHY THIS MATTERS

Three forces making GenAI solutions harder to ship for healthcare

Clinical accuracy, patient safety, and shifting regulation all raise the bar before a healthcare model can go live.
PRIOR AUTH DELAYS PATIENT CARE
PRIOR AUTH DELAYS PATIENT CARE

94%

of physicians report that prior authorization delays patient care. PA is the #1 reason for treatment abandonment, and it is the first place payer AI has to prove it works.
Systemic diagnostic errors
Systemic diagnostic errors

795K

Americans permanently harmed or killed annually by diagnostic errors. Provider AI trained on expert-annotated data is one path to reducing that number.
Healthcare AI goes high-risk
Healthcare AI goes high-risk

Aug 2026

EU AI Act Annex III names medical devices, clinical decision-support, and health insurance AI as high-risk. Training-data documentation requirements are live at enforcement date.
PROVEN OUTCOMES

What expert-built healthcare AI delivers in production

These are real client-of-record results from payer, provider, and life sciences programs, not projected figures.

71%

Agentic tool-use automation reduced prior authorization processing time from 14 minutes per case to under 4 minutes.

98.2%

Certified medical coders reached this extraction accuracy on claims documents across 50K+ records, covering ICD-10, CPT codes, and patient demographics in a HIPAA-compliant workflow.

12 of 14

Hospital networks approved clinical AI credentialing after a multi-layered evaluation program across 14 clinical domains and 20K+ tasks.
DEEP DOMAIN SOLUTIONS

How each solution works inside healthcare

Each solution delivers outcomes for high-impact healthcare use cases, from clinical NLP to patient-facing AI safety.

Multimodal evaluation

We test radiology images, EHR text, clinical voice notes, scanned claims, and lab results across modalities simultaneously.

 SFT / CoT demonstrations

Licensed clinicians and specialists author diagnostic reasoning chains, treatment planning logic, and PA justification workflows.

Data annotation

Certified specialists handle claims entity labelling, medical image segmentation, clinical coding, and radiology finding annotation.

Expert preference

Clinicians and claims specialists rank model responses so your patient-facing or member-facing AI gives safe, guideline-aligned answers.

Red Teaming

We run adversarial probing for hallucinated diagnoses, PHI leakage, claims manipulation, and clinical safety boundary failures.

AI safety

We deliver clinical harm taxonomy, demographic bias audits, triage escalation calibration, and fairness testing across payer and provider AI.

OTS data

We provide pre-built, licensed clinical and healthcare datasets ready for immediate use in model training and evaluation.
CLIENT SPOTLIGHT

Where clinical trust actually shows up

When radiologists agree with the model's draft, the AI has cleared the only bar that matters inside a clinical workflow.
Radiology report drafts that radiologists actually agree with

Board-certified radiologists annotated chest X-ray findings for location, severity, and clinical urgency. The AI-generated report drafts then saved 8.2 minutes per study, with radiologists agreeing on the output.
Where clinical trust actually shows up

94.7%

radiologist agreement rate
OFFERINGS FOR HEALTHCARE ORGANIZATIONS

Training data across payers, providers & life sciences

Each program is built for the people downstream, including clinicians, members, and regulators, who have to trust the output.

Prior authorization automation

We build tool-use training data for agentic PA agents that run EHR queries, formulary checks, payer API calls, and PA letter generation. The result is 71% faster than manual processing.

Claims document intelligence

We extract ICD-10, CPT, and SNOMED codes from claims forms, scanned PDFs, and handwritten notes. Certified medical coders reach 98.2% accuracy across 50K+ records.

Clinical NLP and Radiology AI

We build entity extraction, negation detection, and radiology report generation training data, annotated by registered nurses, board-certified radiologists, and clinical specialists.

Clinical trial extraction

We extract structured data from 200-page FDA submission PDFs, including endpoints, adverse events, patient cohorts, and MedDRA codes. Certified annotators label the data and pharmacists review it.

Drug safety and pharmacovigilance

We build adverse event extraction, MedDRA coding, and drug interaction training data for pharmacovigilance models, verified by pharmacists against BNF, ACLS, and NICE sources.

Clinical AI safety and bias audits

We run radiology AI demographic fairness audits, hallucinated-diagnosis detection, PHI leakage testing, and clinical harm taxonomy work through 10,000-case bias audit programs.
CUSTOMER STORY

Programs that shipped

Every program below is a real client-of-record engagement, with each metric sourced from the delivery deck.
how we deliver

How these offerings get delivered

Three numbers explain why these programs hold up under audit: credentialed clinical experts, rigorous review, and fast activation across markets.
Expertise | Credentialed Workforce

100s of

US health systems served

Registered nurses, certified medical coders (CPC, CCS), pharmacovigilance specialists, radiologists, and clinical research coordinators. No anonymous crowd workers on clinical or claims data; every annotator is credentialed and auditable.
Safety | PHI Protection

99.3%

PHI recall rate

HIPAA-aligned de-identification, access controls, and audit trails on every healthcare data program. PHI detection and redaction built into the pipeline, not bolted on after. FDA SaMD and EU MDR documentation included.
Speed | Gigsourcing Activation

<48 hours

program activation SLA

100+ countries, 150+ languages, clinical specialist pools pre-qualified and ready. The Gigsourcing Platform activates healthcare programs before your procurement cycle ends.
TRUST & COMPLIANCE

The regulatory frameworks healthcare programs are built inside

Not checked after the fact. Built in from the first data spec, so your compliance team sees audit trails, not surprises.

Healthcare regulatory coverage

FDA · SaMD Guidance
FDA · SaMD Guidance
UK GDPR · Special Category
UK GDPR · Special Category
HIPAA · PHI Safeguards
HIPAA · PHI Safeguards
UK GDPR · Special Category
UK GDPR · Special Category
EU AI Act · Annex III
EU AI Act · Annex III
EU MDR · Medical Devices
EU MDR · Medical Devices

Certifications

SOC 2 Type II
ISO 27001
ISO 17100 (multilingual)
HIPAA-aligned data handling
GDPR / UK GDPR health data
2025
For how compliance is engineered into the operation,
See Technology → AI Compliance.
INSIGHTS

Latest from the Firstsource team

Insights from the field, real operations, real outcomes, and perspectives from the people making it work in live operations.
Cuban is half right. The services that survive AI are the ones AI cannot do without
BLog

Cuban is half right. The services that survive AI are the ones AI cannot do without

Why the services that survive AI are those it cannot do without judgment—exploring where human expertise remains essential in an increasingly automated.
Models double their attention span every four months. Are you doubling your demonstrations?
BLog

Models double their attention span every four months. Are you doubling your demonstrations?

As AI context windows double every four months.
SWE-bench is a tournament. Your codebase is a job
BLog

SWE-bench is a tournament. Your codebase is a job

Why SWE-Bench is a tournament and your codebase is a job—closing the gap between competitive AI coding benchmarks and real-world software engineering.
Penetration testing using GenAI enhances platform safety and trust for an online marketplace for short and long-term homestays and experiences
Case Study

Penetration testing using GenAI enhances platform safety and trust for an online marketplace for short and long-term homestays and experiences

Discover how a global marketplace for homestays and experiences partnered with Firstsource to proactively secure its platform against identity and listing fraud through GenAI-powered penetration testing, bolstering user trust and safety.
Delivering 1 million AI tasks in 5 weeks: Firstsource enhances GenAI model with 98% accuracy
Case Study

Delivering 1 million AI tasks in 5 weeks: Firstsource enhances GenAI model with 98% accuracy

Goal: A leading tech company partnered with Firstsource to enhance their virtual assistant's GenAI model using Reinforcement Learning from Human Feedback (RLHF). The goal was to improve accuracy and reliability by training the model with high-quality, annotated data, creating and verifying multi-turn conversations across multiple domains within a tight deadline. How we made it happen:Our tailored approach ensured precise execution at scale. Here's how:
Rapid improvement in GenAI models using high quality, multilingual STEM content, with 100% quality compliance for a global tech giant
Case Study

Rapid improvement in GenAI models using high quality, multilingual STEM content, with 100% quality compliance for a global tech giant

Firstsource delivered 120K+ high‑quality STEM content items in 10 languages for a GenAI model, achieving full compliance and rapid onboarding of expert creators.
Contact US

Build healthcare AI that earns the trust downstream

Tell us what you're building. A healthcare program lead replies inside one business day.
  • Talk to a credentialed healthcare program lead.
  • Sample dataset returned in 5–10 business days.
  • Compliance docs (SOC 2, ISO, HIPAA, FDA alignment) on request.
  • NDA before any data exchange.