Skip to main content

We build AI
Quality agents,
crafted with intent.

We help teams modernize Quality Engineering with AI. No staff augmentation. Just expert consulting and measurable results.

99.2%Output reliability
40+AI systems tested
6 wksAvg. to production
0%Client churn
AI Quality Engineering·LLM Evaluation·Hallucination Detection·Test Automation·Red-teaming·AI Compliance·Quality Agents·Safety Benchmarks·AI Governance·Regression Testing·Risk Assessment·Production Monitoring·AI Quality Engineering·LLM Evaluation·Hallucination Detection·Test Automation·Red-teaming·AI Compliance·Quality Agents·Safety Benchmarks·AI Governance·Regression Testing·Risk Assessment·Production Monitoring·
01SERVICES

What we do.

Four pillars. Specialist-led, never handed off. Senior throughout.

01

Quality Engineering

Production-grade quality frameworks, test automation and evaluation pipelines for AI systems, from a working prototype to a deployment your team can trust.

EVALUATION PIPELINESTEST AUTOMATIONREGRESSION TESTING
Get started
02

Consult & Transform

We embed alongside your team to modernise how you think about, build and ship AI. Strategy, tooling and hands-on delivery, from first audit to scaled operation.

STRATEGYTRANSFORMATIONHANDS-ON DELIVERY
Get started
03

Platform Evaluation

End-to-end assessment of your internal AI Quality platform output quality, latency, reliability and safety benchmarks tested against real-world conditions before you ship.

AI SLOPTOKEN OPTIMIZERED-TEAMING
Get started
04

Advocacy Program

A dedicated AI Quality partnership with expert guidance, priority support, monthly reviews, and continuous improvement.

SUBSCRIPTIONDEDICATED ADVOCATEPRIORITY ACCESS
Get started
02HOW WE WORK

A predictable path from audit to scale.

Four phases, weekly reports, one team. No black boxes.

01

Discover

Understand goals, risks, and quality gaps before defining what good looks like.

Week 1Free·Quality audit report
02

Design

A quality framework on real data within ten days. We design for failure modes, not just happy paths.

Week 2Free·Evaluation framework
03

Build

Automated pipelines, direct contact with the engineers doing the work, not project managers.

Weeks 3–15Paid·Transformation
04

Ship & tend

Deploy, monitor, iterate. We stay on for as long as you need us, and not a day longer.

OngoingSubscription·Advocacy or Consult
03TOOLS WE BUILT

Open-source tools we built.

A small catalogue of AI quality tools, each one sharpened in production.

QualEvalLive

Know exactly what test artifacts prove, before you go live.

QualEval continuously analyzes your test artifacts, identifying missing coverage, gaps, inconsistencies, and release risks before they reach production.

  • Keep your existing test automation workflow, agents do the heavy lifting.
  • Create once. Impact everywhere. No duplicate test artifacts.
  • Maintain complete traceability from requirements to release.
  • Ensure every artifact is complete, connected, and production-ready.
Join beta
TestForgeBeta

1,000 adversarial test cases. Generated in minutes.

TestForge generates, runs and tracks test suites for your AI pipelines. Feed it a spec; it builds the edge cases you haven't thought of yet.

  • Auto-generates adversarial prompts from your production logs.
  • CI/CD integration. Tests run on every deploy.
  • Coverage reports mapped to risk categories.
Request access
AuditBoardComing soon

Your AI compliance record, always audit-ready.

AuditBoard tracks every model decision, flags policy violations and compiles the evidence trail regulators ask for, automatically.

  • Maps to EU AI Act, ISO 42001 and internal governance policies.
  • Immutable decision log with full context capture.
  • One-click PDF export for auditor handover.
Learn more
04WORK

Projects we shipped.

A curated record of results, refined over time. Each case earns its place.

01AI Quality Engineering

LLM-powered SaaS achieves 99.2% output reliability

Evaluation pipeline and automated test suite reduced error rate from 14% to under 1% across six quality dimensions.

  • Evaluation pipeline reduced error rate from 14% to 0.8%
  • 1,200+ automated test cases deployed across 6 quality dimensions
  • Zero regressions in 4 months since launch
99.2% reliabilityRead more
LLM-powered SaaS achieves 99.2% output reliability
01 / 03
05ABOUT ORDINOQ

Senior engineers.
Direct access to the people
running your pipeline.

We kept the team senior on purpose. No junior handoffs, no account manager layers, no outsourced execution. You brief us. We engineer it. Every result owned by a specialist.

OrdinoQ was founded in Tallinn by engineers who spent years inside enterprise AI teams watching quality get deprioritised. We built the studio we wished existed, one that treats AI quality as a first-class engineering discipline.

01

Engineering rigour

Every system we touch gets a written quality framework before we write a single test. Opinions without evidence stay outside the door.

02

Radical transparency

Live dashboards, monthly reports, and direct access to the engineers doing the work, not a project manager layer.

03

Outcome ownership

We stay on until the number moves. If a pipeline underperforms, we fix it. No extra invoice.

06FAQ

Things clients ask,
before they ask.

If you have a question not covered here, email us directly. A founder reads it within 24 hours.

07GET STARTED

Tell us what you're
building.

I'm interested in

or email info@ordinoq.com · an engineer reads it within 24 hours

What happens next

01

You write to us.

A paragraph is enough. Describe the system, the problem, or just the feeling that something's wrong.

02

An engineer replies within 24h.

With actual thoughts, not a templated calendar link.

03

30-minute call, if it's a fit.

If not, we'll point you to who's better suited.

04

Quality roadmap in a week.

Failure modes, KPIs, timelines. Three pages, plain language.

Direct line

info@ordinoq.com

An engineer will read it within 24 hours.

START YOUR QUALITY JOURNEY

Your next chapter starts with a conversation.

Book a free quality audit. We'll review your AI system, identify the highest-risk failure modes, and map a quality roadmap tailored to your stack.