Sabi Core · Living Evidence Infrastructure

Infrastructure for organisations to build their own living evidence systems.

Sabi Core provides infrastructure for turning evidence into continuously updated knowledge systems. Organisations publish directly to their audiences on the same platform, where interaction and feedback strengthen the evidence loop.

01
Evidence Ingestion
02
Structuring
03
Knowledge Graph
04
Synthesis
05
Validation
06
Delivery
07
Updating
Living Evidence Loop
Evidence → Knowledge → Update
Workflow

Living evidence system workflow

01Core infrastructure

Evidence Ingestion

Collect peer reviewed research, grey literature, evaluations, reports, policies and datasets into one unified evidence environment.

02Configurable

Evidence Structuring

Organisations define how evidence is categorised and tagged — topics, geography, populations, interventions and evidence types.

03Core infrastructure

Knowledge Graph

Connect entities, studies, topics and relationships across the entire evidence base.

04Configurable

Synthesis Layer

Organisations choose how knowledge is synthesised — AI‑assisted synthesis, systematic review workflows or custom organisational methods.

05Configurable

Validation Layer

Organisations define governance for validating knowledge — internal expert review, external peer review, editorial oversight or community validation.

06Core infrastructure

Knowledge Delivery

Publish and disseminate knowledge directly to audiences on the platform. The same platform can expose knowledge through evidence hubs, AI question interfaces, dashboards, policy briefs and APIs.

07Core infrastructure

Continuous Updating

New evidence, feedback and validation updates feed back into the system so knowledge continuously improves.

What is Sabi Core?

An AI Platform for Organisational Knowledge

Across universities, research institutes, governments, NGOs, and development programs, vast amounts of knowledge are produced every year — peer-reviewed research, reports and evaluations. This knowledge is often fragmented across documents, difficult to analyse quickly, and rarely reaches decision-makers in a usable form.

Sabi Core solves this problem by providing a platform that ingests large collections of evidence, structures knowledge, and generates synthesised insights that remain continuously updated as new evidence emerges. Using artificial intelligence and structured knowledge graphs, Sabi Core connects information across documents, themes, and sources.

Unlike traditional research workflows that end with static reports, Sabi Core enables living synthesis. Evidence is not frozen in time. As new studies, policies, or reports are added to the system, insights update automatically while maintaining clear links to their original sources.

Who It's For

Built for the Evidence Ecosystem

Evidence Intermediaries & What Works Centres

Run synthesis on your terms—with your methods and tools. Engage directly with users, capture feedback in-platform, and stay up to date through live connections to new research and evidence alerts.

Universities & Research Institutes

Make your research usable—not just published. Enable users to interrogate your work, ask questions across studies, and connect directly with the underlying evidence and authors.

NGOs & Development Teams

You already know what works—now share and strengthen it. Publish learning from programmes, gather feedback from users, and continuously improve based on what others find useful.

Funders & Foundations

Turn portfolio learning into shared intelligence. Bring together what's working across your investments and share it clearly with other funders, partners, and the wider ecosystem.

UN Agencies & Multilateral Organisations

Make vast knowledge easy to access and use. Move beyond static portals—enable users to ask questions across documents, synthesise insights instantly, and navigate complex evidence with ease.

Explore Evidence

Continuous learning infrastructure

New research, user feedback and validation updates continuously improve the knowledge graph and synthesis outputs.

Design Principles

AI-powered synthesis Living evidence systems Transparency by design Continuously updated Source-linked insights Audience-targeted publishing Governance at every step