Technical debt is where supervision kills velocity—and where Enric shines
Connect your repo. Chat with AI. Get ready-to-merge PRs. No technical sales calls. No consultant overhead. Just automated refactoring that works.
Trusted by founders who ship faster than their competitors

42% of AI initiatives failed in 2025—up from 17% in 2024. The culprit? Legacy complexity that generic AI can't handle without constant supervision.
Other AI tools need constant babysitting. Every prompt reviewed, every output verified. Your engineers become expensive quality-control clerks.
ChatGPT and Copilot suggest generic patterns. They don't know your naming conventions, architectural decisions, or why that weird function exists.
Consultants charge $300/hour for meetings about meetings. Startups can't afford months of discovery before a single line of code changes.
One engineer can only supervise one AI job at a time. That's not velocity—that's expensive typing assistance.
While AWS, IBM, and Accenture require human oversight, Enric's Semantic Fingerprint™ learns YOUR patterns autonomously. The extreme case that proves our structural advantage.
Semantic Fingerprint™ analyzes your entire codebase before making changes. Review PRs, not debug sessions. Merge with confidence, not anxiety.
Connect repo → Chat with AI → Get PRs. No technical sales calls. No weeks of onboarding. No expensive consulting hours. Just code that works.
While other tools need one-on-one supervision, Enric runs 50+ refactoring jobs simultaneously. Scale without scaling your team.
No $300/hour consultants. No months of discovery phases. Automation means you pay for results, not conversations.
End-to-end automation in hours, not months. No onboarding calls. No discovery phases.
2 minutes to connect. Our Semantic Fingerprint™ analyzes your codebase—patterns, conventions, architecture. No manual documentation required.
Tell the AI what you need: 'Refactor this legacy module', 'Add TypeScript types', 'Clean up this tech debt'. Natural language, no prompt engineering.
Enric creates isolated branches with full test coverage. Review clean diffs that match your team's style. No debugging AI hallucinations.
90% first-pass accuracy means most PRs merge without changes. Comprehensive testing and rollback capabilities included.
Built for startup founders who need results, not another tool to babysit
Semantic Fingerprint™ ensures generated code matches your team's style and conventions. Other tools: 60-70% accuracy requiring constant fixes.
First PR in hours. Full tech debt cleanup in weeks. Big consultants? Months of discovery before any code ships. Other AI tools? Days of supervision per change.
No $300/hour consulting fees. No dedicated supervision team. Stop burning runway on overhead—Enric delivers 80% cost savings.
SOC 2 compliant. Your code never trains our models. Zero data retention after completion. Enterprise-grade security at startup-friendly prices.
Real data from startup tech debt projects
No more "we only do Python" or "hire a specialist for that". Eliminate tech debt across your entire stack without context-switching between tools or vendors.
Our intelligent LSP integration adapts to any codebase. Python microservices? TypeScript monorepo? Polyglot nightmare? Enric handles them all without specialist handoffs.
Get a personalized demo showing how Enric can eliminate your technical debt. No sales pressure, just solutions.