Expert-verified datasets for RL for frontier AI labs.
DATA & MODEL INTELLIGENCE — AI AUTOMATION
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
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
Expert-verified datasets for RL for frontier AI labs.
Forward-deployed engineers (FDE) and AI control plane for enterprise AI.
What You Get
PhD-authored, expert-verified datasets for RL, benchmarking, and model evaluation, ready to integrate into existing workflows.
Datasets and RL environments spanning audio, images, video, and Lidar/3D point clouds for training and evaluating multimodal models.
FDEs build the agents you need to perform reliably and efficiently inside your enterprise.
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.
The complete data-to-model lifecycle, operated as one measurable program with explicit acceptance criteria.
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 · provenanceClean, normalize, enrich, and annotate records with domain specialists — then structure them through metadata, ontologies, and knowledge graphs.
clean · enrich · annotation · metadata · knowledge graphsSet 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-loopTrain and test models against representative benchmarks, evaluate behavior, document decisions, and release under explicit controls.
train · test · evaluation · benchmark datasets · deployMonitor data and model behavior in production, detect drift and stale inputs, investigate exceptions, and feed improvements upstream.
monitor · observability · data drift · data freshnessWe redesign high-value workflows around AI while preserving decision rights, evidence, and human control where consequences are material.
An operating system for intelligent work
Map the decision, connect trusted context, orchestrate models and tools, insert human checkpoints, then monitor outcomes and exceptions in production.
Research operations, diligence, compliance review, portfolio monitoring, and controlled decision support.
Clinical and administrative workflows, evidence synthesis, quality review, and specialist escalation.
Evaluation, observability, drift detection, exception handling, and versioned redeployment.
The Expert Network
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.
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.
Contact
Raleigh, NC
Jersey, NJ
info@categorytech.com
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