From the first response that teaches a model to the evaluation that proves it improved — OmniTech supplies the qualified human judgment, run as a managed and measured program.
Each capability is delivered by qualified, calibrated contributors inside the same disciplined operating model — with quality measured and reported, not assumed.
The human data that shapes model behavior after pre-training: expert responses and SFT data, preference pairs, response critique and rewriting, and reasoning data for RLHF and DPO-style workflows.
Human evaluation that measures what benchmarks miss: rubric-based scoring, pairwise comparison, factuality and groundedness, plus multi-turn agent and tool-use trajectory review.
Structured adversarial testing and policy evaluation: harmful-content assessment, jailbreak and adversarial prompting, safety categorization, and culturally-aware review by qualified analysts.
Annotation and evaluation beyond text — images, video, audio, speech and documents — with domain specialists and the same layered QA that governs our text work.
When the data doesn’t exist yet: expert-created prompts and responses, multilingual collection, source validation, de-duplication, and structured curation and cleanup of existing datasets.
Production content operations: moderation, policy classification, integrity and quality labeling, abuse taxonomy development, escalation handling and adjudication at scale.
Human demonstrations and first-person collection, action segmentation, temporal annotation, hand-object interaction labels and instruction alignment for robotics and physical-AI learning programs.
Explore Physical AI & Egocentric DataMost of what makes AI data reliable happens around the task, not in it. OmniTech runs the operation end to end — recruiting and qualification, guideline design, calibration, production, layered QA, adjudication, reporting and continuous improvement — so your researchers get clean, measured data instead of a management problem.
See the operating modelGold tasks, agreement tracking, secondary review and adjudication on every program.
Client-controlled environments, RBAC and workforce NDAs for confidential data.
Acceptance, rework, agreement and throughput — visible, not hand-waved.
We scope only to capabilities we can staff and qualify for. If a domain isn’t listed, ask — we’ll tell you honestly whether we can build the team for it.
We’ll map your objective to the right capability, scope a pilot, and define the quality bar before anyone touches the data.