AI Risk Lab
Independent risk assessment for critical systems
Before you build, deploy, or trust an AI system, make sure it won't become your biggest liability. Get an honest, engineering-led opinion on where the real risks are.
Free expert assessment for selected submissions
An independent technical opinion before you bet on AI
AI Risk Lab is an open initiative by Interpretica. Whether you're building an LLM application, an AI startup, an internal automation platform, or an embedded AI solution, we review your approach and highlight potential risks before they become expensive problems.
Independent
No sales agenda - just an honest technical opinion on where the risks are.
Engineering-led
Every assessment is performed by experienced security and software engineers.
Early
We catch problems while they are still cheap to fix - before they reach production.
From early concepts to production systems
We assess AI work at any stage - the idea, the architecture, the product, and the implementation.
AI product ideas
Will the concept actually work? Where are the hidden technical risks?
LLM applications
AI agents
Enterprise AI
Embedded AI
Working on something else AI-related?
Tell us about itA simple, confidential review process
From your first message to a clear set of findings - no lengthy onboarding, no obligations.
Submit your idea
Tell us about your AI concept, architecture, product, or implementation.
Expert review
Our engineers analyze your approach for security, reliability, and operational risk.
Risk findings
You receive a practical write-up of where the real risks are and why they matter.
Safer path forward
We suggest concrete steps toward a safer, more reliable implementation.
A practical technical review, not generic advice
Instead of vague recommendations, you'll get a focused technical review. Typical feedback includes:
Security risks
Where your system can be attacked, abused, or leak sensitive data.
Architecture weaknesses
Structural issues that limit safety, reliability, or future growth.
AI-specific attack vectors
Prompt injection, jailbreaks, data poisoning, and model manipulation.
Reliability & scalability
Where the system behaves unpredictably or breaks beyond the prototype.
Regulatory considerations
Compliance and legal exposure you should be aware of early.
Safer implementation steps
Concrete, actionable suggestions to reduce risk - not just a list of problems.
The questions that keep AI teams up at night
If you're building with LLMs, RAG, or autonomous agents, these are the questions we help you answer with confidence.
Built for teams making AI decisions
If you're deciding whether, what, or how to build with AI, an outside opinion pays for itself.
Startups & AI founders
Pressure-test your concept before you raise, build, or bet the company on it.
CTOs & engineering leaders
Get a second technical opinion before committing budget and roadmap.
Product & research teams
Validate that an AI feature is realistic, safe, and worth shipping.
Companies evaluating AI adoption
Understand the risks before integrating AI into critical systems.
AI is moving faster than most organizations can evaluate
Our goal is simple: help companies avoid expensive mistakes before they happen. Every reviewed submission also helps us understand emerging AI risk patterns and improve industry awareness.
Frequently asked questions
Yes. We review selected submissions at no cost. Because every assessment is performed by experienced engineers, we can't guarantee that every request will be accepted.
Yes. We never publish submitted materials without explicit permission.
No. This is an expert assessment of AI-related risks, architecture, security, and implementation decisions.
Yes. Both existing systems and early-stage concepts are welcome.
Have an AI idea you'd like an independent opinion on?
Submit it to AI Risk Lab. We'll tell you where the real risks are.
Request assessmentTell us about your AI idea, architecture, or product
We'll review it and highlight the risks that matter most before you build, deploy, or trust it.
We typically respond within 1-2 business days.