Sindrion uses swarms of AI agents to modernize legacy software by generating detailed specifications and automatically building new applications from scratch. This approach delivers usable software within weeks, cutting costs to a fraction of traditional projects while minimizing disruption and risk, enabling businesses to achieve rapid, low‑risk digital transformation.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises with legacy software often face lengthy, expensive modernization projects that rely on refactoring existing code, leading to delayed value, high risk of disruption, and costly maintenance of compromised systems.
Solution
Sindrion addresses this by using swarms of AI agents to first generate a comprehensive specification from the existing legacy codebase and then automatically build a brand‑new, clean application from scratch. This AI‑driven process delivers usable software within weeks and completes full system transformations in months, dramatically reducing project timelines. By automating the heavy lifting traditionally performed by developers, Sindrion cuts modernization costs to a fraction of conventional approaches while maintaining high quality. The resulting applications are modern, secure, and aligned with current business requirements, minimizing operational disruption. Early delivery of working software provides enterprises with tangible business impact throughout the migration, reducing uncertainty and risk. Overall, the solution offers a rapid, low‑risk path to replace outdated systems with future‑ready applications.
Target Audience
Primary customers are large enterprises and organizations with extensive legacy application portfolios that require fast, cost‑effective modernization to maintain competitiveness.
Features
- AI agent swarm extracts a complete, detailed specification directly from legacy code
- Automated generation of a new, clean codebase based on the extracted specification
- End‑to‑end pipeline that delivers functional software in weeks and full transformation in months
- Cost reduction through elimination of manual refactoring and extensive development effort
- Built‑in safeguards to ensure minimal disruption to existing operations during migration
- Scalable approach suitable for large enterprise environments seeking rapid modernization