INTRO CALL:
SET THE STAGE FOR COLLABORATION
BUSINESS CASE WORKSHOP:
IDENTIFY POC TARGETS
APPLICATION DESIGN WORKSHOP:
MVP CANDIDATES
POV PROPOSAL:
PLAN A FIRST RELEASE DELIVERY
POV DELIVERY:
VALIDATE THE BUSINESS CASE
VERSION 1:
TOWARDS A FULL FLEDGED MVP
10 x Retrieval Augmented Generation
Drawing on deep expertise from information retrieval, machine learning, database system design, as well as deep expertise in cyber security, our core R&D expertise and focus is in high impact RAG system design. We go beyond trivial llama-index and langchain implementations. We care about metrics that matter, and that includes token consumption.
The key to successful RAG-based applications is a partnership between the product owner (you) and the LLM developers (us). Our six phase process allows us to foster a high-impact collaboration, bringing our pragmatic, lean, and metric-focussed R&D approach to complement your deep domain expertise.
What makes us stand out is our focus on the Proof-of-Value as the most important phase of our engagement. We want to build meaningful outcomes that users need, not just fancy toys that make for flashy demos.
