AI systems that pass in the lab, fail in the real world
You’ve trained it on billions of data points.
Tested it against every benchmark.
Then someone talks to it. Your system breaks.
Not sometimes. Constantly.
AI chatbots that cost companies lawsuits.
Drive-through systems that can’t take orders.
Medical AI giving dangerous advice.
$12B
Lost annually on failed AI projects
$4.6B
in regulatory fines in 2024
AI systems that pass in the lab, fail in the real world
You’ve trained it on billions of data points.
Tested it against every benchmark.
Then someone talks to it. Your system breaks.
Not sometimes. Constantly.
AI chatbots that cost companies lawsuits.
Drive-through systems that can’t take orders.
Medical AI giving dangerous advice.
$12B
Lost annually on failed AI projects
$4.6B
in regulatory fines in 2024
Cross–sector expertise envisions testing
Frontier lab, enterprise and public-sector experience
Tiarne Hawkins
7 years building training pipelines for Amazon, Google, Meta, OpenAI. $500M+ in programs.
The insight: training data can’t capture human chaos.
Nick Reese
Former DHS Director of Emerging Tech Policy, authored the federal AI strategy.
Saw how untested systems create regulatory crises.
Chris Luckenbill
Decade driving automation and AI adoption through partnerships with Apple, IBM, Netradyne.
Watched the gap between lab success and production failure kill enterprise deals.
Tiarne Hawkins
7 years building training pipelines for Amazon, Google, Meta, OpenAI. $500M+ in programs.
The insight: training data can’t capture human chaos.
Nick Reese
Former DHS Director of Emerging Tech Policy, authored the federal AI strategy.
Saw how untested systems create regulatory crises.
Chris Luckenbill
Decade driving automation and AI adoption through partnerships with Apple, IBM, Netradyne.
Watched the gap between lab success and production failure kill enterprise deals.
Justin Davis
3x founder defining industry-wide brand safety standards through products that rebuild trust and drive accountability.
Saw how user behavior and brand evolve together.
The team came together because we’d each seen the same failure from different angles. We kept arriving at the same realization:
No existing guardrails are sufficient to protect customers and users.
So we built the Assurance Platform to test, evaluate, verify and validate (TEVV) the edge cases, unexpected framings, and adversarial creativity that emerge when real people encounter real systems.
Test AI the way reality will
The only platform built for real-world behavioral assurance
Optica Labs provides the testing, evaluation, verification and validation framework to predict, attribute, and diagnose threats to AI systems before they happen.
TEVV
Testing
Define objectives and scenarios
Clarifies what “good behavior” means
Evaluation
Simulate real human, agent, and adversarial interactions
Exposes hidden weaknesses
Verification
Measure reliability and detect drift
Quantifies behavioral stability
Validation
Document and monitor outcomes
Creates compliance and governance readiness
Test AI the way reality will
The only platform built for real-world behavioral assurance
Optica Labs provides the testing, evaluation, verification and validation framework to predict, attribute, and diagnose threats to AI systems before they happen.
TEVV
Testing
Define objectives and scenarios
Clarifies what “good behavior” means
Evaluation
Simulate real human, agent, and adversarial interactions
Exposes hidden weaknesses
Verification
Measure reliability and detect drift
Quantifies behavioral stability
Validation
Document and monitor outcomes
Creates compliance and governance readiness
Real-world testing pre-build, pre-deployment and post deployment
From reactive damage control to competitive advantage
Optica Labs transforms this equation.
When you can see how your system will behave before deployment, everything changes:
Deploy faster
Risk quantification means confident releases, not cautious pilots
Win enterprise deals
Compliance documentation is now a procurement requirement
Defend against incidents
Audit trails prove due diligence if issues emerge
The market recognizes this shift:
AI Risk Management
$10.3B → $39.9B
by 2033 (14-15% CAGR)
AI Red Teaming
$6.2B → $11B
by 2032 (12% CAGR)
AI Governance
$890M → $5.8B
by 2029 (45% CAGR)
AI Risk Management
$10.3B → $39.9B
by 2033 (14-15% CAGR)
AI Red Teaming
$6.2B → $11B
$10.3B → $39.9B
AI Governance
$890M → $5.8B
by 2029 (45% CAGR)
Test AI the way reality will
The only platform built for real-world behavioral assurance
Optica Labs provides the testing, evaluation, verification and validation framework to predict, attribute, and diagnose threats to AI systems before they happen.
TEVV
Testing
Define objectives and scenarios
Clarifies what “good behavior” means
Evaluation
Simulate real human, agent, and adversarial interactions
Exposes hidden weaknesses
Verification
Measure reliability and detect drift
Quantifies behavioral stability
Validation
Document and monitor outcomes
Creates compliance and governance readiness
AI Assurance Accelerates Innovation
Optica Labs provides certainty in an uncertain space.
Because when you know exactly where your system breaks you’re not cautious anymore.
You’re confident. And confidence is what unlocks scale.
We’ve filed provisional patents on our risk algorithms. These equations provide risk concentrations, guardrail erosion, and risk accumulation by model and by user.
These breakthroughs empower products that allow you to predict, diagnose and monitor threats.
“Safety isn’t what slows you down. It’s what allows you to move faster than everyone else.”