Services
Rapid AI Prototyping
Functional, secure proof-of-concept AI tools in weeks, not months — to validate business value and feasibility before committing to a large build.
Last updated 2026-06
Rapid AI Prototyping validates business value, user acceptance, and technical feasibility before an organization commits to a large-scale integration. Using modern frameworks, we turn AI concepts into functional, secure prototypes in weeks.
What we prototype
- Enterprise RAG — secure pipelines that ingest PDFs, wikis, and structured data into a vector store, with private endpoints so your data never leaks into a public model.
- Multi-agent workflows — multi-step autonomous processes built on agentic frameworks, orchestrated end to end.
- Ring-fenced deployments — prototypes run in isolated cloud environments built as infrastructure-as-code, and can be torn down and scrubbed once testing ends.
Measured, then refined
We deploy to a small group of real users and gather usage telemetry — token usage, retrieval accuracy, latency — then iterate on prompts, chunking, and parameters based on actual behaviour.
Production-ready foundation
Unlike throwaway notebook prototypes, ours are built on robust, scalable web architecture. A successful prototype can be scaled into a production application and governed by Eloryn.