Closedloop is an AI‑augmented platform that unifies requirements, implementation plans, design prototypes, and code changes in a single shared system. It links these artifacts with structured context, provides automated validation against original intents, and offers real‑time visibility to replace status meetings, helping software teams maintain control and reduce risk throughout the development lifecycle.
Funding
$25K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.



Founders
Product
Problem
Software teams often struggle with fragmented workflows where requirements, design specifications, and code are scattered across documents, threads, and separate tools, leading to misalignment, delayed reviews, and increased risk of shipping unintended functionality.
Solution
Closedloop provides a unified AI‑augmented platform that centralizes requirements, implementation plans, design prototypes, and code changes within a single shared system. The platform enables teams to define and attach requirements directly to execution artifacts, collaborate on detailed implementation plans before coding, and iterate on UI designs inside live applications without a separate handoff. Built‑in validation checks compare outputs against original intents, ensuring that every merge is reviewed for compliance and quality. Real‑time visibility replaces status meetings, allowing agents and teammates to see progress, provide reviews, and enforce governance throughout the development lifecycle. The solution is offered as an open‑source stack for self‑hosted use and a hosted control plane for teams that need managed runtime, governance, and coordinated delivery.
Target Audience
Closedloop targets software development teams and product organizations that need integrated requirements management, design collaboration, and controlled engineering workflows.
Features
- Central repository linking requirements, design mockups, and code changes with shared context across agents
- AI‑driven implementation planning that generates structured, team‑reviewed execution plans before development starts
- In‑app design prototyping and component editing that updates functional applications without separate handoff
- Automated validation and review workflow that checks each output against original intent prior to merge
- Real‑time progress dashboards eliminating the need for status meetings and providing transparent visibility
- Open‑source components and templates for self‑hosting, with a hosted control plane option for managed governance