AI Data & Agentic Engineering

AI Data Built by Experts Who Actually Know the Domain

Zstate delivers RLHF training data, SFT datasets, and evaluations built by credentialed specialists — plus the engineering team to take your models into production.

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Expert Network
500+
Credentialed domain specialists across healthcare & financial services
Domain Experts
500+
Credentialed specialists across healthcare & financial services
Agentic Systems Shipped
40+
Production agentic AI systems deployed in regulated industries
What We Work On
RL Environments RLHF Data EHR Abstraction Agentic Systems Clinical NLP Evals
The Problem

Generic AI data breaks down exactly where it matters most

The industries with the highest stakes — healthcare and financial services — require judgment that commodity annotators simply don't have.

✕
Generic Annotation
  • Crowdsourced workers with no clinical background labeling diagnostic reasoning tasks
  • Financial tasks assigned to general contractors who've never read a 10-K
  • High volume throughput with no understanding of downstream model behavior
✓
Zstate Domain Experts
  • Credentialed clinicians, nurses, and health informaticists who understand clinical workflows
  • Analysts, CPAs, and compliance officers evaluating financial model outputs
  • Expert-graded, audit-ready datasets built with deployment outcomes in mind

"A model trained on low-quality domain data doesn't fail in testing. It fails on your patients and your clients."

What We Do

Two ways we help you build better AI

Most data vendors stop at delivery. We built the systems — so we know what good data actually produces.

01
Primary

AI Data & RLHF

Expert-annotated training data, SFT datasets, preference data, and evaluations — built by domain specialists who understand what they're labeling.

  • RLHF preference data & reward model training
  • SFT instruction datasets from domain experts
  • Red-teaming & adversarial evaluation
  • Clinical NLP, diagnostic Q&A, EHR abstraction
  • Earnings analysis, risk data, compliance evaluation
  • Medical coding & ICD abstraction
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02
Powered by the same expertise

Agentic AI Engineering

Production-grade agentic systems for healthcare and financial services — AI-native architecture built from the ground up to scale.

  • End-to-end agentic system design & build
  • Multi-agent pipelines & workflow automation
  • AI-native architecture, not retrofitted legacy code
  • From prototype to scalable production deployment
  • Compliance-aware engineering for regulated industries
Talk to Our Engineers →
Our Verticals

Where we go deep, not broad

Two industries. Genuine expertise. Not a generalist shop with a landing page claiming verticals.

🩺
Clinical NLP & Reasoning
Training data for models that interpret clinical notes, discharge summaries, and physician reasoning — evaluated by practicing clinicians.
🧬
Diagnostic Q&A & Multi-modal
Expert-graded preference data for diagnostic reasoning tasks, imaging interpretation, and clinical decision support evaluation.
📋
Medical Coding & EHR Abstraction
ICD-10, CPT coding validation, and EHR data abstraction tasks handled by certified coders and health informaticists.
📊
Earnings & Analyst Evaluation
Preference data and SFT datasets for models reasoning over earnings reports, 10-K filings, and sell-side research — evaluated by credentialed analysts.
⚖️
Risk & Compliance Data
Training and evaluation data for risk model assessment, regulatory compliance tasks, and stress testing scenarios — reviewed by risk professionals.
🔍
Fraud Detection & Trade Rationale
Expert-annotated datasets for fraud detection, trade rationale evaluation, and financial reasoning benchmarks.
The Process

From scope to delivery — without the hand-holding

01
Define Scope
Task type, domain, quality bar, compliance requirements. We help you spec this if needed — we've seen what works.
02
Expert Matching
We assign credentialed specialists from our vetted pool. Not crowd workers. Experts who understand what they're evaluating.
03
Iterative Delivery
Data delivered in structured batches with QA loops, inter-annotator agreement metrics, and full audit trails.
04
Ongoing Evals
Red-teaming, model feedback loops, and continuous evaluation as your model evolves. We stay in the cycle.

Need to go further? Our engineering team can deploy what we train →

Why Zstate

What makes our data structurally different

🧠
Credentialed Experts, Not Crowd Workers
Our annotators hold clinical certifications, finance credentials, and domain licenses. They understand the task — not just the label schema. This is the difference between a data vendor and a domain partner.
🔒
Compliance-First by Design
Compliance-first workflows aren't an add-on — they're the architecture. Built for the two industries where data handling mistakes have legal and human consequences.
⚙️
Engineers Who Ship Production AI
We've built agentic systems for regulated industries. That means our training data is built with deployment outcomes in mind — not just F1 scores. We know what good data produces downstream.
🎯
Vertical Depth, Not Horizontal Breadth
We go deep in healthcare and financial services instead of shallow across twenty industries. That depth is why our data is defensibly better — and why our clients don't look elsewhere.
Get Started

Ready to build AI your domain can trust?

Whether you need expert training data or a production AI system — let's start with a conversation.

Data Services
Start a Data Project
RLHF, SFT datasets, evaluations & red-teaming by domain experts
Engineering
Book an Engineering Call
Production-grade agentic AI systems for regulated industries
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