Context Retrieval Optimizer
The expensive reality that most AI coding agents retrieve 10-100x more code context than needed, burning through token budgets while actually degrading performance through noise.
ai-devops¶
Data Model Evolution Tracker
The painful truth that "your data model is your destiny" yet most teams make irreversible schema decisions without understanding long-term consequences until it's too late.
Model Performance A/B Testing Platform
The challenge of detecting subtle performance changes when AI providers roll out new model versions through A/B testing, leaving developers blind to regressions until users complain.
AI Code Trust Score: Automated Quality Assessment for AI-Generated Code
Developers are drowning in AI-generated code suggestions but lack tools to systematically evaluate whether that code is production-ready, introducing silent bugs and security vulnerabilities.
AI Regression Shield: Continuous Quality Guard for Model Updates
AI models degrade silently when providers update them, breaking production features without warning—and teams have no systematic way to detect or prevent this.
LLM Performance Observatory: Cross-Provider Benchmarking for Production AI
Engineering teams running production LLMs have no reliable way to compare real-world performance, cost, and quality across providers, leading to suboptimal vendor lock-in and hidden costs.
Model Context Optimizer: Intelligent Token Budget Management for LLM Apps
Engineering teams waste 40-60% of LLM costs on redundant or low-value context, but manually optimizing prompts is tedious and error-prone.
Prompt Security Scanner: Injection Detection and Protection for LLM Apps
LLM applications are vulnerable to prompt injection attacks that can leak sensitive data, bypass safety filters, and manipulate AI behavior—but no comprehensive security layer exists.
AI Audit Trail Generator: LLM Interactions as Legal Evidence
ChatGPT history is now being used as evidence in criminal cases. Every AI interaction could become discoverable in litigation, creating urgent need for tamper-proof audit trails.
AI Security Honeypot: Detect Prompt Injection and Jailbreak Attempts in Real-Time
Security vulnerabilities in satellites and DDoS botnets dominate headlines. AI systems face similar attacks through prompt injection and jailbreaks, but companies have no visibility into these threats.