Why do 95% of AI projects fail?

According to MIT research, 95% of AI projects fail to deliver ROI due to inadequate testing, lack of domain-specific validation, insufficient compliance coverage, and unrealistic performance expectations based on misleading benchmark scores. Success requires practical implementation expertise, rigorous adversarial testing, and proper regulatory compliance from the start.

How quickly can I see ROI from AI implementation?

With proper implementation and testing, AI systems typically show measurable ROI within 3-6 months. Our approach focuses on practical, high-impact use cases with clear success metrics. We help you avoid the common pitfalls that lead to failed AI projects by ensuring your system is properly tested, compliant, and aligned with actual business needs before full deployment.

What compliance frameworks does your platform support?

Our platform provides comprehensive testing for OWASP Top 10 for LLM Applications, NIST AI Risk Management Framework (AI RMF 1.0), EU AI Act requirements, GDPR data protection standards, and industry-specific regulations. Each framework includes automated testing with 6,500+ scenarios, expert validation, and detailed compliance documentation.

Do you only test AI systems or help implement them too?

We provide both comprehensive testing and expert implementation support. Our services include: building AI agents and systems that deliver real ROI, adversarial testing and security validation, full compliance coverage for all major frameworks, ongoing monitoring and optimization, and hands-on implementation guidance to ensure your AI project succeeds.

How is this different from standard AI testing tools?

Standard tools test against generic benchmarks that don't predict real-world performance. We combine domain-specific test datasets, adversarial testing designed to expose actual vulnerabilities, expert red team validation, comprehensive compliance coverage, and practical implementation expertise. Our focus is on building AI systems that actually work in production, not just achieving high scores on meaningless benchmarks.

Build AI Systems That Actually Work

Comprehensive testing, implementation, and compliance platform for AI agents and systems. Join the 5% of AI projects that deliver real ROI.

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Security Testing

6,500+ adversarial test cases covering OWASP LLM Top 10

Compliance Validation

NIST AI RMF, EU AI Act, GDPR compliance documentation

Expert Support

Implementation guidance from AI security specialists

What We Do

Three ways we help travel and aviation teams ship AI that works.

Build & Validate AI Systems

We design, build, and rigorously validate AI systems for travel and aviation—from agentic workflows over legacy data to customer-facing assistants—proven against real-world edge cases before they reach production.

Startup Advisory

Hands-on advisory for founders and leadership teams building across travel, aviation, and AI—strategy, technical due diligence, and product direction drawn from decades of safety-critical experience.

R&D & Open Benchmarks

We research how AI behaves in safety-critical settings and share it openly—publishing open-source datasets and the Pre-Flight aviation benchmark used by the wider community.

Platform Capabilities

Automated Security Testing

Vulnerability scanning with 6,500+ test cases. We cover prompt injection, data leakage, model manipulation, and every OWASP LLM Top 10 category.

Regulatory Compliance

Automated compliance checks and documentation for NIST AI RMF, the EU AI Act, GDPR, and industry rules. Every report is audit-ready.

Custom Benchmarking

Evaluation frameworks built for your industry, use case, and risk profile. We check that the AI really understands your business.

Red Team Validation

Hands-on testing by expert researchers. They confirm the automated findings and hunt for new attacks aimed at your system.

Implementation Support

Expert guidance on AI architecture, safety, and deployment — so your systems deliver real business value.

Why 95% of AI Projects Fail

MIT research suggests most AI projects fail for three reasons — not the technology, but poor testing, weak domain understanding, and missing compliance checks. Our platform fixes all three:

Rigorous Testing: Expose failures before deployment with adversarial testing
Domain Validation: Custom benchmarks prove AI actually understands your industry
Compliance First: Built-in regulatory validation prevents costly rework
Expert Guidance: Implementation support from specialists who've done this before

Example AI Security Dashboard

Comprehensive compliance reporting across MITRE, OWASP, NIST, GDPR, and EU AI Act

AI Chatbot Compliance Report

Target: customer-service-agent •Depth: 6,565 probes

Critical

issues

High

issues

Medium

issues

Low

issues

Attack Methods

Single-shot Optimization

Single-shot optimization of safety bypass techniques

146 / 350 attacks succeeded41.7%

Multi-Vector Safety Bypass

Combines multiple jailbreak techniques for enhanced effectiveness

6 / 1750 attacks succeeded0.3%

Baseline Testing

Original plugin tests without any additional strategies or optimizations

1 / 350 attacks succeeded0.3%

Security & Access Control

Data protection, access control, and system security risks.

96%

16 failed probes

404/420 passed

Resource Hijacking

Privacy Violation

PII via API/Database

PII via Direct Exposure

PII via Session Data

PII via Social Engineering

Compliance & Legal

Regulatory compliance, legal, and policy violation risks.

Unauthorized Commitments

WMD Content

Hate Speech

Malware Generation

Sexual Content

Violence & Extremism

Child Exploitation

Self-Harm Content

Ready to Join the 5%?

Get a demo of the platform and see how we help organizations build AI systems that actually deliver ROI.

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