Production-Ready AI Data Operations

The problem

Human review breaks at production scale.

10K items works. 10M doesn't. Decisions drift, QA lags, calibration slips — and there's no defensible trail when auditors ask. Ungoverned review is the problem.

Decision quality drifts

Inter-rater reliability decays silently until errors surface in production or the press.

Vendors aren't governed

Multiple BPO sites and contractors — no shared calibration, no common QA, no single source of truth.

Audits aren't defensible

DSA, EU AI Act, CFPB, AML — all demand evidence. Spreadsheets don't hold up.

Sound familiar?

We've run the queue you're describing.

Most teams reach us mid-fire — backlog up, agreement down, audit looming.

Trust & Safety

Appeals backlog growing faster than it's cleared
Decisions differ across sites and languages
Policy drift after every guideline update
DSA report due, evidence scattered

Fraud & Identity

False positives clogging the manual queue
AML backlog outrunning headcount
No defensible record for examiners

Evaluation & RLHF

Evaluators disagree; rubric keeps moving
Multilingual calibration gaps
EU AI Act docs you can't reconstruct

Clinical & Expert

Routing cases to the right specialist fast
Audit visibility for regulators
Review capacity behind release pace

The system inside AILABS

DS Orchestrator

Our proprietary QA and governance layer — not sold as software. One control surface across every review type and vendor: real-time quality, calibration, SLA, and full audit trail.

Continuous calibration — drift flagged before it reaches users.

Multi-stage QA — automated checks, peer review, expert adjudication, DS spot-audits.

Vendor-neutral — your tools, BPOs, our reviewers, or any mix.

Audit-ready by default — every action logged with timestamp and identity.

DS ORCHESTRATOR

MONITORING

Managed reviewer operations

Behind the dashboard: a managed human operation.

A vetted team of reviewers — sourced, trained, calibrated, supported — run by a dedicated program manager. The layer tools and staffing marketplaces don't provide.

Background-checked, NDA-bound, domain-matched reviewers.

Onboarded to policy, re-calibrated on a fixed cadence.

Structured rotation and wellness for sensitive-content teams.

One program manager owns staffing, quality, SLAs, and reporting.

Start a pilot

How It Works

One operational owner. One source of truth.

We embed as the operating layer for your review work — scoping policy, staffing calibrated teams, governing quality, and delivering audit-ready outcomes. You keep your tools and your data-science team in the loop.

Step 01

Scope & calibrate

Policy codified, SLA targets set, reviewers calibrated before the first decision ships.

Step 02

Managed review

Specialist reviewers execute — tool-agnostic, to policy — with DS Orchestrator monitoring agreement live.

Step 03

QA & governance

Multi-stage QA and escalation. Drift and bottlenecks caught before they compound.

Step 04

Audit-ready delivery

Decisions in your format with a per-class quality report and full audit trail.

Governance, demonstrated

How we govern review.

Four QA stages, fixed calibration cadence, routed escalations, audit trail, and feedback loop to your model — on every program.

Calibration cadence — drift triggers re-calibration before it ships.

Escalation routing — edge cases go to the right reviewer under SLA.

Audit-ready reporting — exportable for DSA, EU AI Act, and CFPB.

Review-to-model feedback — quality signals improve the model, not just the metric.

Start a pilot

Why AILABS

We own the outcome, not just the task.

Vendors sell labor. Tools sell software you operate yourself. BPOs send bodies. AILABS makes review reliable — and proves it.

Decision reliability, measured

agreement at scale, with numbers to prove it.

Overlay or full program

independent QA layer or end-to-end operation.

Fluent in ops and ML

quality work that improves the model, not just the metric.

Trust & compliance

Governance your regulator will accept.

DSA, EU AI Act, CFPB, AML, clinical safety — built defensible from day one.

SOC 2 Type II (in progress)

Security and confidentiality controls aligned to SOC 2 Type II. Reports under NDA.

Regulation-ready audit trails

Evidence packs for DSA Article 16/42, EU AI Act, CFPB, and AML.

EU / US data residency

Configurable residency with matching data-processing agreements.

Reviewer vetting & access control

Background checks, NDAs, role-based access, client data segregation.

Full auditability

Every action logged with timestamp and identity, queryable on demand.

Reviewer wellness

Rotation and resiliency programs for moderation, CSAM, and safety teams.

What we measure

The metrics we govern to — on every program.

Same definitions for every client. Monitored in real time, reported weekly. References under NDA.

Inter-rater agreement (κ)

consistency with each other and your policy.

Decision accuracy vs gold

held to your SLA.

Appeal & overturn rate

kept low and stable through calibration.

SLA attainment

monitored live with surge cover.

Calibration drift

flagged and corrected before it reaches users.

Audit-trail completeness

100% logged. No exceptions.

Trusted by Teams Building Production AI

What Our
Customers Say

“The real-time QA is a game-changer. We can see quality issues as they happen, not after delivery. That’s saved us months of debugging.”

“AILABS transformed our data pipeline. We went from inconsistent labels to 99% accuracy in under a month. Their Orchestrator caught issues we didn’t even know existed.”