DATA & MODEL INTELLIGENCE — AI AUTOMATION

Build the intelligence layer. Automate the work that follows.

We design traceable data programs, validated model systems, and governed AI workflows for financial services and healthcare—built to move from a bounded pilot to production scale.

Built and trusted by leading institutions across our network

JPMorgan Chase
Goldman Sachs
Morgan Stanley
Bank of America
Citi
BlackRock
UnitedHealth Group
CVS Health
Mayo Clinic
Johnson & Johnson
Pfizer
Kaiser Permanente
About UsFounded 2021

Category Tech drives real economic progress from AI by helping frontier labs improve models and enterprises deploy agentic systems.

We help the world's top AI labs accelerate superintelligence and bring that expertise to Fortune 500 enterprises for production deployment and scaling of agents.

What We Do

01

Expert-verified datasets for RL for frontier AI labs.

02

Forward-deployed engineers (FDE) and AI control plane for enterprise AI.

What You Get

01

Off-the-shelf datasets

PhD-authored, expert-verified datasets for RL, benchmarking, and model evaluation, ready to integrate into existing workflows.

02

Multimodality

Datasets and RL environments spanning audio, images, video, and Lidar/3D point clouds for training and evaluating multimodal models.

03

Forward-deployed engineers

FDEs build the agents you need to perform reliably and efficiently inside your enterprise.

04

AI control plane

Deploys, manages, and scales agents across your enterprise while protecting your IP, sovereignty, and governance.

Turn your business AI investment into immediate ROI by applying our deep experience in data and building AI workflows.

Leadership

Founded by technology leaders with 20+ years of experience each, from Amazon, Goldman Sachs, Morgan Stanley, UnitedHealth Group, IBM, and more.

01 — PracticeFive Stages, One Governed Program

Data & Model Intelligence

The complete data-to-model lifecycle, operated as one measurable program with explicit acceptance criteria.

01

Create & source

Source first-party and partner data, generate synthetic data, and assemble benchmarks with rights, consent, and provenance resolved from the start.

create/source · synthetic data · license · provenance
FIRST-PARTY PARTNER SYNTHETIC GOVERNED DATA licensed · traceable
02

Prepare & enrich

Clean, normalize, enrich, and annotate records with domain specialists — then structure them through metadata, ontologies, and knowledge graphs.

clean · enrich · annotation · metadata · knowledge graphs
RAW CLEAN ENRICH KNOWLEDGE GRAPH metadata · ontology
03

Validate & govern

Set acceptance criteria, verify quality and freshness, establish ground truth, and route consequential exceptions to accountable human reviewers.

validate · data quality · ground truth · human-in-the-loop
QUALITY FRESHNESS GROUND TRUTH VALIDATED SET human checkpoint
04

Train, test & deploy

Train and test models against representative benchmarks, evaluate behavior, document decisions, and release under explicit controls.

train · test · evaluation · benchmark datasets · deploy
TRAIN TEST EVALUATE DEPLOYED MODEL benchmarked · versioned
05

Observe & improve

Monitor data and model behavior in production, detect drift and stale inputs, investigate exceptions, and feed improvements upstream.

monitor · observability · data drift · data freshness
MONITOR DRIFT EXCEPTIONS IMPROVE observe · redeploy
02 — PracticeDesign · Build · Control · Improve

AI Automation

We redesign high-value workflows around AI while preserving decision rights, evidence, and human control where consequences are material.

An operating system for intelligent work

From fragmented task to governed workflow

Map the decision, connect trusted context, orchestrate models and tools, insert human checkpoints, then monitor outcomes and exceptions in production.

Financial services

Research operations, diligence, compliance review, portfolio monitoring, and controlled decision support.

Healthcare

Clinical and administrative workflows, evidence synthesis, quality review, and specialist escalation.

Production assurance

Evaluation, observability, drift detection, exception handling, and versioned redeployment.

Thinking from the work

The Expert Network

Work on consequential capital, inside your own domain

Our assessed network brings healthcare, finance, real estate, and technical expertise to deal evaluation, diligence, and portfolio assurance. One core assessment, project-based work, and scope, commitment, decision authority, and terms disclosed before you accept. These ranges from $50 - $500 hourly payouts.

Used for assessment and matching only. Submitting opens an email for your review; Category Tech never requests passwords or account credentials.

Tell us what you're trying to build

We respond with a scoped next step—usually a short call, then a written proposal with explicit acceptance criteria. Most engagements begin with a bounded pilot, so both sides know what “working” means before scale.

Governed Data.
Validated Models.
AI Automation for
Finance & Healthcare.

Contact

Raleigh, NC

Jersey, NJ

info@categorytech.com