OrangeLoops

OrangeLoops deploys AI agents that write, review, and iterate code across the full product stack. Multiple agents run in parallel across modules while engineers retain control over architecture and output review. This division of labor compresses build timelines without removing human judgment from critical decisions, giving teams a measurable throughput advantage on complex product builds.

The platform covers native iOS and Android, cross-platform React Native, and React/Next.js web applications. Backend services run on Node.js, Java, or .NET depending on system requirements, with deployment across AWS, Google Cloud, or Azure. Teams working on consumer apps, enterprise tools, or internal dashboards benefit from a single partner handling the full technical surface.

OrangeLoops builds customer-facing agents for WhatsApp, web, and platform-native interfaces that handle support, lead qualification, scheduling, and self-service tasks. Each agent routes complex cases to human operators and is grounded in the client's actual data rather than open-ended generation. Organizations use these to extend service capacity without increasing headcount proportionally.

The platform constructs retrieval systems that surface accurate, source-traceable answers from internal documents, wikis, databases, and communication archives. Responses tie directly to source content, with confidence scoring and human escalation paths built into the architecture. Internal teams gain reliable access to institutional knowledge without depending on manual search or subject-matter experts for every query.

OrangeLoops builds custom Model Context Protocol servers that give AI agents structured, deterministic access to SaaS tools, databases, and internal APIs, whether documented or not. Business logic lives in the server layer rather than the model, ensuring agent responses depend on accurate data retrieval rather than probabilistic generation. This infrastructure layer is often what allows agent deployment to proceed in organizations where system access was previously the bottleneck.