This is like giving every software developer a smart co-pilot that suggests code as they type, understands your codebase, and can help write, refactor, or explain code—while staying under your company’s control instead of sending everything to a public cloud AI.
Reduces time spent on boilerplate coding and debugging, helps standardize code quality across teams, and addresses CIO/CTO concerns about data privacy and control when using AI coding assistants in the enterprise.
If fully realized: deep integration into developer workflows (IDEs, CI/CD), enterprise-first controls and deployment models, and potential proprietary models tuned on coding telemetry and customer-specific patterns.
Hybrid
Vector Search
High (Custom Models/Infra)
Inference latency and cost at scale for real-time code completion across many concurrent enterprise developers; plus secure handling of large private codebases for training or context retrieval.
Early Majority
Positions itself as an enterprise-grade, controllable AI coding assistant with strong emphasis on data residency, privacy, and admin control, versus more consumer-first tools bundled into large ecosystems.
14 use cases in this application