Reliable data is manufactured, not collected.
Anyone can hand you labels. The difference is the operation around them. Every OmniTech program runs the same disciplined lifecycle — so quality is engineered in from the first pilot to steady-state production.
From objective to continuous improvement.
Eleven stages, one accountable team. The loop never really ends — measurement from production feeds straight back into design.
Discover
Understand the model objective, task, domain, risk, complexity and volume. Agree what “good” means before anything starts.
Design
Develop and refine the taxonomy, rubrics, instructions and edge-case rules together with your research team.
Pilot
Run a small cohort to establish a baseline and surface ambiguity in the guidelines early.
Calibrate
Resolve disagreements and ambiguities; tighten the rubric until judgments converge.
Certify
Qualification testing and controlled onboarding — only certified contributors go into production.
Produce
Managed, monitored task execution with live quality signals, not a fire-and-forget queue.
Review
Layered quality assurance — sampling, gold tasks and independent second passes on flagged work.
Adjudicate
Senior reviewers resolve disagreement and critical errors, setting the precedent for the next batch.
Deliver
Validated output with quality metadata — so you know not just what the label is, but how sure we are.
Measure
Report acceptance, agreement, rework and throughput against the SLA. No black boxes.
Improve
Error patterns and disagreements feed back into guidelines, training and worker coaching — every cycle.
Quality as a measured system.
We treat quality like an engineering discipline: multiple layers of review, senior adjudication, and honest reporting of the signals that predict downstream model behavior.
Signals we track & report
Targets are set per program with your team. We report the real numbers from your work — we don’t publish invented percentages.
How a contributor becomes production-ready.
Our real product is the system that turns applicants into a qualified, calibrated, monitored workforce — and keeps them there.
Specialist roles we qualify & manage
Tool-agnostic. Client-controlled when required.
We’re honest about this: our edge is the managed operation, not a proprietary platform. That means we fit your stack instead of forcing ours.
Client platform
Teams work directly in your customer-approved tools and environments.
Approved third-party tools
Support for established annotation and evaluation platforms your program requires.
Managed workflow
We run the workforce, qualification, calibration, QA and reporting around whatever tool you use.
Private delivery
Client VDI / VPC and controlled endpoints where required and contracted.
What we don’t claim: we don’t market a proprietary annotation platform we don’t have. If a program needs specific tooling we can’t support, we’ll tell you — and often we’ll run beautifully inside the environment you already trust.
Run a pilot and watch the model work.
The fastest way to judge an operating model is to run one. Let’s scope a small, measured pilot on your real task.