Imhotep Systems
ImhotepSystems
Datasets

The rarest resource in
African AI: clean data.

Institutional data that doesn't exist anywhere else. Procurement records, agricultural yield data, cross-border trade flows, health system utilization. Structured, anonymized, and accessible via API.

The problem

African institutional data is fragmented and inaccessible.

Across governments, NGOs, and enterprises, critical data exists but is locked in PDFs, spreadsheets, and disconnected systems. There is no centralized source of structured African institutional data. AI systems trained on global data fail to understand African contexts because the training data doesn't exist.

The Imhotep approach

As Imhotep builds Forge deployments across institutions, we generate (with client consent and anonymization) structured datasets that don't exist anywhere else. These datasets become part of a growing network of African institutional data that powers better AI systems across the continent.

Generated from real Forge deployments with institutional partners
Anonymized and aggregated to protect privacy and confidentiality
Structured and standardized for machine learning applications
Accessible via API for research, development, and commercial use
Continuously growing as more organizations deploy Forge

Available datasets

Curated African institutional data.

Our growing catalog of structured datasets covering critical sectors across African markets. All datasets are anonymized, aggregated, and compliant with data protection regulations.

Public Procurement Records

Structured procurement data from government institutions across African markets. Contract awards, vendor performance, spending patterns.

Coming Soon

Agricultural Yield Data

Crop yield data aggregated from agricultural programs across regions. Variety-specific yields, input effectiveness, seasonal patterns.

Coming Soon

Cross-Border Trade Flows

Structured trade data covering import/export flows across African borders. Product categories, volumes, pricing, route analysis.

Coming Soon

Health System Utilization

Anonymized health facility data covering utilization patterns, resource allocation, and health outcomes across programs.

Coming Soon

Financial Inclusion Metrics

Structured data on financial access, mobile money usage, and credit outcomes across markets and demographics.

Coming Soon

Logistics Network Data

Route efficiency, fleet utilization, and delivery performance data aggregated from logistics operations.

Coming Soon

API access

Programmatic access to institutional data.

All datasets are accessible via a unified API with standard authentication, rate limiting, and comprehensive documentation. Build applications, train models, and generate insights with structured African institutional data at scale.

RESTful API
Standard REST endpoints with JSON responses. Easy integration with any tech stack.
Authentication
API key-based authentication with role-based access control for different data tiers.
Rate limiting
Configurable rate limits based on usage tier. Fair access for all users.
Data versioning
Dataset versioning ensures reproducibility. Access historical versions for research.
Webhook support
Webhooks enable real-time notifications for dataset updates and new data availability.
SDK availability
Official SDKs for Python, JavaScript, and coming soon for other languages.

Partner program

Become a data contributor.

Organizations deploying Forge can opt in to contribute anonymized data to the dataset network. Contributors receive priority access to the full dataset catalog, API credits, and co-branded recognition on published datasets.

Priority access to all datasets in the catalog
Free API credits proportional to data contribution
Co-branded recognition on published datasets
Early access to new datasets before public release
Custom dataset queries and analysis support
Invitations to data network events and workshops

Get started

Access African institutional data.

Explore our dataset catalog or contact us to learn about API access and partnership opportunities.