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.
Startup-friendly security included →Trusted by founders who ship faster than their competitors

42% of AI initiatives failed in 2025—up from 17% in 2024. The culprit? Code complexity that generic AI can't handle without constant supervision.
Other AI tools need constant babysitting. Every prompt reviewed, every output verified. Your senior 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.
Consulting firms charge $300/hour for meetings about meetings. Months of discovery before a single line of code changes. Startups can't afford this.
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. McKinsey reports 40% cost reduction with AI—Enric delivers 80%.
SOC 2 compliant. Your code never trains our models. Zero data retention after completion. On-premise deployment available.
Real data from startup tech debt projects
Get a personalized demo showing how Enric can eliminate your technical debt. No sales pressure, just solutions.