IfD Tech
IfD Tech provides Sabi Core, an infrastructure platform that helps organizations produce, update, and publish decision-ready evidence with full traceability. The system unifies research, evaluations, and policy documents into a knowledge graph, enabling living syntheses rather than static reports. Built through over a decade of real-world research and policy engagement in Sierra Leone, the platform supports AI-assisted synthesis and configurable evidence structuring.
- Data & Analytics
- Software Only
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
Evidence systems are too slow, too static, and too fragmented. Organizations struggle to produce timely outputs, published reports quickly become outdated, decisions lack transparency and traceability, and knowledge remains scattered across documents and teams.
Solution
Sabi Core provides an infrastructure platform for producing, updating, and publishing evidence that decision-makers can trust, at speed and with full traceability. The system enables organizations to collect peer-reviewed research, grey literature, evaluations, reports, policies, and datasets into one unified evidence environment. Organizations can define their own evidence structuring schemas for categorization and tagging, and the platform uses a knowledge graph to connect entities, studies, topics, and relationships across the entire evidence base. A flexible synthesis layer allows organizations to choose between AI-assisted synthesis, systematic review workflows, or custom organizational methods, supporting living syntheses rather than static reports.
Target Audience
Primary users are evidence intermediaries, funders and foundations, NGOs and programme teams, and universities and research institutes that need living syntheses, portfolio-level learning, and decision-ready evidence.
Features
- Evidence ingestion pipeline that collects peer-reviewed research, grey literature, evaluations, reports, policies, and datasets into a unified environment
- Configurable evidence structuring so organizations define how evidence is categorized by topics, geography, populations, interventions, and evidence types
- Knowledge graph that connects entities, studies, topics, and relationships across the entire evidence base
- Synthesis layer supporting AI-assisted synthesis, systematic review workflows, or custom organizational methods
- Built and tested through over a decade of real-world research and policy engagement in Sierra Leone