OmniTech runs managed human-data programs to train, evaluate and improve generative, agentic, multimodal and physical AI. Expert people, qualified and calibrated, inside secure and measured workflows.
Egocentric footage → objects, hand–object interaction, actions → structured, reviewed data.
Same scenario, two voice models — humans judge naturalness, turn-taking and latency.
Human scoring against a rubric, with adjudication — measuring real model quality.
One managed workforce, qualified per domain — annotation and evaluation across every signal.
Experience across confidential AI-data programs
Client identities withheld due to confidentiality obligations. Categories shown are illustrative of engagement types, not specific organizations.
Real-world tasks contain more than motion. They contain intent, contact, sequence and change. We turn human demonstrations into reviewed, structured data for physical-AI and robotics learning programs.
First-person collection, action segmentation, temporal boundaries and hand-object interaction labels. Connected to instructions, captions and clear completion criteria.
Scoped collection protocols. Calibrated annotators. Review and adjudication before delivery.
Explore Physical AI & Egocentric DataFrontier models are only as good as the human judgment that shapes them. We don’t hand you a pool of annotators and wish you luck. We stand up a qualified, calibrated, measured operation around your objective — and run it.
“Here are some annotators. Write your own guidelines, manage quality yourself, and hope the labels are consistent.”
We manufacture reliable human judgment at scale: people + qualification + workflow + measurement + security — delivered as a managed data program.
Expert responses, SFT data, preference pairs, critiques and rewrites that teach models what “good” looks like.
Rubric scoring, pairwise comparison, factuality and agent-trajectory review to measure real model quality.
Error patterns and disagreements feed back into guidelines, taxonomies and worker coaching — every cycle.
Recruit, qualify and calibrate large specialist teams — then hold quality steady as volume grows.
SFT data, response creation, preference ranking, critique, rewriting and reasoning data for RLHF/DPO workflows.
ExploreRubric-based scoring, pairwise comparison, factuality and groundedness, plus agent and tool-use trajectory review.
ExplorePolicy evaluation, adversarial prompting, jailbreak testing, safety categorization and culturally-aware review.
ExploreAnnotation and evaluation across text, images, video, audio, speech and documents — with domain specialists.
ExploreExpert-created data, multilingual collection, source validation and structured dataset curation and cleanup.
ExploreContent moderation, policy classification, integrity labeling, abuse taxonomies, escalation and adjudication.
ExploreEvery program runs the same disciplined lifecycle, so quality is engineered in from the first pilot to steady-state production.
We treat quality as a measured system. Work flows through layered review and senior adjudication before it reaches you, and we report the signals that actually predict downstream model behavior.
Fifteen years of operations taught us how to source, qualify and hold a large distributed workforce to a standard. That system is our real product.
Specialist roles we qualify
Frontier data is sensitive. Programs run inside controlled, access-managed environments — and, where required, directly in your systems — so confidential prompts, responses and evaluations stay protected end to end.
Security controls designed with reference to ISO/IEC 27001 & SOC 2 Trust Services Criteria.
Visit the Trust CenterRepresentative engagements, written to be procurement evidence. Client identities and any confidential metrics are withheld under NDA.
Human data is only as good as the humans behind it. We qualify contributors for the domain and the language — and for cultural context, which is where generic crowds fail.
How we qualify expertsDomains
Language & cultural coverage
OmniTech grew up running large, secure, 24/7 operations — recruitment, training, scheduling, QA and delivery at scale. AI-data work rewards exactly that muscle: the hard part isn’t labeling one example, it’s running thousands of qualified people to a consistent standard.
Recruiting, scheduling and coaching large distributed teams.
Repeatable delivery, SLAs and quality control as standard.
Access control and confidentiality built into operations.
Tell us what you’re training or evaluating. We’ll scope a pilot, define the quality bar, and stand up a qualified team behind it.
