Evidentia — Turning Questions into Evidence-Based Knowledge
We've established the core concept of Evidentia: an AI-powered autonomous research platform designed to transform research questions into structured reports supported by evidence and traceable sources.
As a team, we've divided our responsibilities into two major areas:
- Application & System Engineering: Focusing on frontend development, application workflows, backend integration, database connectivity, and overall system implementation.
- AI & Agent Workflow Engineering: Exploring LLM integration, research planning, tool calling, evidence extraction, and agent decision-making.
Our proposed workflow aims to break complex topics into smaller research questions, discover relevant information from multiple sources, analyse supporting evidence, identify conflicting claims, and generate structured research reports with source references.
Our next focus is validating the technical approach, exploring reliable information sources, defining the system architecture, and establishing a realistic MVP that we can successfully implement and demonstrate.
Our vision: Move beyond AI-generated answers towards research that is transparent, evidence-driven, and traceable.
More updates as we progress with Evidentia.
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