ADCO AI · COGNITIVE OUTSOURCING

Human intelligence infrastructure.
Built for AI systems.

ADCO provides managed human operations and staff augmentation for AI data preparation, model evaluation, verification, data annotation, human-in-the-loop workflows, and recurring research operations.

Data annotationAI evaluationHuman-in-the-loop
A managed team actively reviewing AI data and model outputs
Human attention, deliberately placed.Prepare · Evaluate · Verify · Monitor

The missing layer

AI scales computation.
We scale the judgment around it.

ADCO turns client criteria into trained, supervised, and reviewable human workflows across the AI lifecycle.

See the operating model
LIVE WORKFLOWADCO / JUDGMENT LAYER
Incoming
Model output
Raw data
Edge case
User signal
Human judgmentManaged by ADCO
Controlled
Verified
Structured
Escalated
Ready

Work ADCO can support

Specific human work.
Built around your model.

Across these five service categories, ADCO can operate the work through managed delivery or provide dedicated capacity inside client-led teams.

Who we help

Built for teams that need
reliable human judgment.

The strongest fit is a defined AI or data workflow—or a clearly scoped capacity need—with visible roles, standards, and ownership.

01

AI startups

Build the human workflow before early product volume becomes an operating bottleneck.

02

AI product companies

Add managed evaluation, annotation, verification, and review around model behavior.

03

Companies using AI

Keep accountable human control around AI-assisted decisions and recurring exceptions.

04

AI & data teams

Extend internal capacity through managed delivery or dedicated staff augmentation, without relying on a loose network of contributors.

Staff augmentation

Skilled capacity, embedded into your team.

When you already own the workflow, ADCO can provide dedicated professionals who work inside your tools, priorities, and day-to-day direction across AI, data, research, and operations roles.

Explore staff augmentation
A professional reviewer examining model evaluation outputs
Human attention, deliberately placedEvaluation · Verification · Escalation

Operating model

Managed from standard
to final review.

ADCO converts client criteria into a supervised operating system. Work begins with scope and calibration, then expands only after the review path is clear.

Project-specific training Documented quality review Exception handling Visible reporting
See how it works

Proof, not promises

Every pilot is designed
to produce evidence.

Instead of publishing unsupported numbers, ADCO defines the result measures with each client and reports them against the agreed pilot scope.

01

Case-study record

The problem, pilot design, operating decisions, and verified outcome—published when client approval permits.

02

Accuracy & QA results

Accuracy or QA acceptance percentages, reviewer agreement, corrections, and exception patterns measured against the agreed criteria.

03

Delivery results

Turnaround time and the number of tasks or records completed within the defined scope.

04

Client validation

Named testimonials and client logos only with permission. ADCO does not use invented metrics or anonymous praise.

Trust & Security

Enterprise confidence begins with operating control.

ADCO designs its operations around data protection, controlled access, workforce security, quality management, and client-specific security requirements.

Data protection Controlled access Workforce security Quality management Incident response Business continuity
Review Trust & Security
A professional reviewing operational controls and quality evidence
Data protection · Access control · QA · Resilience

Latest insights

A closer look at
human judgment in AI.

Field notes on evaluation, control, and managed human workflows.

Field note · July 2026 · 6 min

Where human judgment belongs in the AI lifecycle

A practical map of the decision points where people add context, accountability, and control.

Operations · July 2026 · 7 min

Model evaluation: from rubric to exception log

Why reliable evaluation is an operating system, not a spreadsheet of scores.

Start with a clear need

Bring us the work
your AI team needs done.

Choose a managed pilot or tell us which dedicated roles you need inside your existing team.

Discuss your needs