Vision AI that works in the real world

Most models succeed in the lab but stumble in the wild. I help science-driven teams make their vision AI robust, trusted, and ready for impact.


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Most vision AI models work beautifully in the lab — until they meet the real world. This is why…

In controlled settings, models look flawless. But in real environments, variability reveals cracks.

  • Fragile data — works on internal sets, but breaks with new sites, scanners, cohorts
  • Unreliable models — fine in validation, but fail under drift and edge cases
  • Lack of trust — bias and opacity undermine confidence
  • Stalled adoption — pilots excite, but never become real operational systems

The result? Delays, wasted investment, and lost credibility.

What changes when your vision AI survives the real world?

Projects don’t stall — they accelerate.
Instead of costly setbacks, you deliver models that are robust, trusted, and scalable.

  • Robust and reliable across sites and conditions
  • Faster validation with fewer surprises
  • Confidence from executives, investors, and regulators
  • Teams aligned on ROI, not academic novelty
  • Pilots that scale into real-world adoption

I’ve guided 15+ organizations — from digital pathology startups to Earth observation innovators — through the transition from research to reliable deployment.

Here are three ways I can help...

Pixel Clarity Call (Free)

A 30-minute conversation to surface risks and uncover opportunities in your vision AI.

Risk & Readiness Assessment

A focused review to surface real-world hazards before they derail you.

Vision AI Advisory

Ongoing guidance to keep your models robust, trusted, and impactful in the real world.

About Heather Couture

Early in my career, I watched computer vision models that looked flawless in validation collapse the moment they faced the real world. Variability exposed weaknesses, trust broke down, adoption stalled — and impact was lost. That gap between research and reality became the problem I’ve spent the last 20 years solving.

I founded Pixel Scientia Labs to help science-driven teams make sure their vision AI performs where it truly matters. My role isn’t to build models for you — it’s to ensure your models are robust, trusted, and actionable by aligning data, modeling, and domain insight.

Clients describe me as a source of clarity and direction — someone who spots risks early, reframes them for executives, and keeps teams focused on what drives impact.

That’s what Pixel Scientia Labs is about: delivering vision AI that survives the real world.

Img Heather D. Couture, PhD

Featured in:

Scientific American
The pathologist
Digital Pathology Association
IEEE Spectrum
Towards Data Science

Trusted by Teams Delivering Impact

Orbio Earth
Owkin
Vindhya Data Science
Enspectra Health
Zaya AI
Qritive
Agendia
Ancera
Ultivue
Deciphex
Cytoveris
Gestalt
Wattime
Genecentric
Bioptigen
Leica
Digital Smiths



Why work with me?

Proven Track Record

I’ve accelerated domain-specific CV/ML projects for 15+ organizations.

Multi-Domain Expertise

From microscopes to satellites, I understand the unique quirks of each setting.

Research-Driven Results

20+ years in CV/ML, a PhD, and 15+ peer-reviewed publications — you get both rigor and results.

Let’s close the gap before it costs you time, credibility, and opportunity.


Work With Me