Project Nyansa · An Arcfield Systems product

Making African talent visible through proof of work

An intelligence layer designed to help capability become visible, searchable and useful through structured evidence.

Partner with Project Nyansa Join the pilot

The problem

Talent is often judged through incomplete signals

01CVs and grades alone rarely show what a person can build or how they solve problems.
02Practical capability is often hidden across projects, repositories and informal work.
03Institutions hold valuable project knowledge that is difficult to search and reuse.
04Access to opportunity can depend more on networks than demonstrable capability.

The direction

An intelligence layer between talent, institutions and opportunity

Nyansa is designed to structure proof of work into explainable signals that people and institutions can review. The aim is better discovery and decision support. It does not automate judgment or guarantee opportunity.

Primary users

Students
Graduates
Self-taught developers
Technical professionals
Universities
Employers
Recruiters
Government workforce planners

Core capabilities

Four parts of a governed talent-intelligence system

These components describe the product direction. They do not imply that every workflow is production-ready.

Talent Portal

A governed path for people to present identity, work and capability evidence.

Talent Intelligence Console

A planned institutional view for structured search and decision support.

Nyansa Vault

The component for collecting and organising proof-of-work evidence.

AI Evaluation Engine

An in-development analysis layer intended to support human review, not replace it.

Proof-of-work model · Prototype

From project evidence to useful, reviewable intelligence

Input, AI-supported transformation, human review and possible use remain visibly distinct.

Evidence path · Prototype

From work completed to intelligence people can review

Human review remains explicit

Active evidence stage · Evidence submittedA person submits project evidence and context as the starting record.

AI supports structuring and analysis. People remain responsible for review, context and decisions.

Build and validate with us

Help shape a more evidence-based talent system

Institutions, employers, researchers and workforce stakeholders can start a scoped pilot or partnership conversation. No fake signup queue is used.

Contact the team

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