Section 6

Company Experience

UNDP-GHA-00537-2 Critical Minerals Market Intelligence System for Ghana

6. Company Experience

6.1 Company Overview

Arybit Technologies. is a Kenya-based technology company founded in August 2022 and headquartered in Nairobi, Kenya.

Arybit develops AI-enabled software, geospatial intelligence systems, enterprise data platforms and digital intelligence solutions for complex information, analytical and decision-support requirements.

The company's technical capabilities span:

Artificial intelligence and machine learning
Geospatial intelligence
Remote sensing and satellite-data analysis
Enterprise software engineering
Data engineering and data-platform development
Business intelligence and analytical visualization
Knowledge systems and information management
Cloud infrastructure and deployment
API and systems integration
Autonomous AI and intelligent-agent systems
Data visualization and decision-support interfaces
Cybersecurity, application security and DevSecOps

These capabilities provide the technical foundation for the proposed Ghana Critical Minerals Market Intelligence System (GCM-MIS).

Arybit's approach combines software engineering, data management, artificial intelligence, geospatial intelligence and analytical visualization into an integrated technology architecture. For the proposed assignment, these capabilities will be applied within the dedicated GCM-MIS solution and aligned with the requirements, governance arrangements and approved implementation scope of UNDP and designated Ghanaian institutions.

6.2 Relevant Technical Capabilities

6.2.1 AARAB™ — Autonomous AI Intelligence Platform

AARAB (Autonomous AI Research Agent Bot) is an Arybit-developed autonomous research and intelligence platform designed to orchestrate structured, evidence-backed intelligence workflows.

Relevant capabilities include:

Research workflow orchestration
AI-agent workflows
Information retrieval
Evidence-backed analysis
Document and knowledge intelligence
Structured intelligence workflows
API-based services
Information synthesis and analytical support

For GCM-MIS, AARAB provides an enabling capability for document intelligence, knowledge discovery, natural-language interaction and AI-assisted analytical workflows where approved within the project scope.

6.2.2 GeoAlterSense™ — Geospatial Intelligence Platform

GeoAlterSense™ is Arybit's geospatial intelligence platform combining satellite observations, remote sensing, geospatial analytics, environmental information and AI-assisted analysis.

Relevant capabilities include:

Satellite imagery analysis
Remote-sensing workflows
Geospatial data integration
Spatial analytics
Mineral and geological intelligence
Environmental intelligence
Terrain and spatial analysis
Decision-support mapping

These capabilities are relevant to the spatial dimension of critical-minerals intelligence, including the ability to associate market and mineral information with geographic context where such functionality is approved within the final requirements.

GeoAlterSense is presented as an enabling Arybit technology capability. It is not represented as the proposed UNDP product. The dedicated product proposed for this assignment is the Ghana Critical Minerals Market Intelligence System (GCM-MIS).

6.2.3 Arybit Intelligence CORE™

Arybit Intelligence CORE™ provides a broader intelligence and data-infrastructure foundation for integrating information sources, analytical workflows and AI-enabled services.

Relevant capabilities include:

Data integration
AI-enabled services
API architecture
Enterprise information workflows
Intelligence processing
System orchestration
Structured information management
Decision-support workflows

Within GCM-MIS, CORE provides an architectural foundation that can support integration of approved data sources, analytical services and AI-enabled intelligence functions.

6.3 Relevant Technical Project and Demonstration Experience

6.3.1 AI-Powered Urban Flood Risk Mapping for Nairobi

Status: Completed / Presented
Technical Context: Google Earth Engine Capstone
Location: Nairobi, Kenya

Arybit's technical experience includes an AI-powered urban flood-risk mapping project developed in the context of a Google Earth Engine Capstone.

The project developed a geospatial flood-risk assessment workflow using satellite observations, digital elevation information, land-use data, machine-learning methods, Google Earth Engine and Python.

Relevant capabilities demonstrated:

Remote sensing
Satellite-data processing
Geospatial analysis
Machine learning
Risk mapping
Spatial data processing
Analytical workflows
Decision-support outputs
Python
Google Earth Engine

Relevance to GCM-MIS: The project demonstrates technical capability in processing spatial datasets and transforming complex geospatial information into analytical and decision-support outputs. This experience is particularly relevant to the proposed system where geographic context, spatial analysis or mapping may support critical-minerals market intelligence.

Procurement classification: This activity is presented as technical and academic project experience. It is not represented as a commercial client contract.

6.4 Kenya Chamber of Mines — Mining Intelligence Concept

Organisation: Kenya Chamber of Mines
Country: Kenya
Status: Proposal / Demonstration Stage

Arybit developed and presented a concept for an AI-powered mining intelligence and reporting platform incorporating AI/NLP, geospatial information, satellite data, data analytics and automated reporting.

Relevant capabilities demonstrated:

Mining intelligence
AI and natural-language processing
Geospatial information
Satellite data
Data analytics
Automated reporting
Intelligence workflows
Decision-support systems

Relevance to GCM-MIS: The engagement demonstrates Arybit's ability to conceptualize an integrated mining-intelligence solution combining AI, geospatial information, analytical processing and reporting. These capabilities are relevant to the proposed GCM-MIS architecture, particularly in the areas of mineral intelligence, analytical workflows, reporting and decision support.

Procurement classification: This activity is classified as a proposal and demonstration-stage engagement. Arybit does not represent this activity as a completed or awarded commercial contract unless supporting contractual documentation is available.

6.5 Arybit-Owned Research and Development Assets

Arybit maintains internally developed technology assets and research initiatives that contribute to its technical capability for delivering AI, data, geospatial and intelligence solutions.

Asset	Status	Relevant Capability
AARAB™	Active Development	Autonomous AI research, intelligence and information workflows
GeoAlterSense™	Active Development	Geospatial, mineral and environmental intelligence
Arybit Intelligence CORE™	Active Development	AI, data infrastructure and intelligence workflows
Critical-Minerals Intelligence Workflows	Development / Solution Design	Mineral data, market intelligence and decision-support workflows

These assets are presented as Arybit-owned technology and R&D capabilities. They are not represented as external client contracts, completed commercial assignments or awarded projects.

The proposed GCM-MIS will be designed specifically for the Ghana assignment while leveraging relevant, proven technical capabilities from Arybit's broader technology ecosystem where appropriate and contractually permitted.

6.6 FrontierPulse AI Pilot

Programme: Mt Kenya Innovation Hub / Innovation Programme
Status: Pilot Development

Arybit has developed the FrontierPulse AI concept/pilot as part of its innovation activities.

Relevant capabilities include:

AI-enabled information processing
Intelligence workflows
Technology prototyping
AI-assisted information analysis
Solution experimentation and development

Relevance to GCM-MIS: The activity demonstrates Arybit's capability to develop and prototype AI-enabled information and intelligence solutions.

Procurement classification: FrontierPulse is presented as a pilot/innovation activity and is not represented as a completed commercial contract unless supporting contractual evidence is available.

6.7 Institutional and Technology Ecosystem Credentials

Arybit's participation in technology, innovation and development ecosystems includes:

NVIDIA Inception membership
UNDP supplier registration
HAIDI programme participation
UNFPA PopIntel Hackathon participation
Other innovation and technology ecosystem engagements

These credentials demonstrate Arybit's participation in relevant technology and innovation ecosystems.

For procurement-integrity purposes, these activities are not represented as client project contracts or completed commercial assignments.

6.8 Capability-to-GCM-MIS Mapping

Arybit's technical capabilities map directly to the principal functional and technical areas of the proposed Ghana Critical Minerals Market Intelligence System.

Arybit Capability	Application to GCM-MIS
Artificial Intelligence / Machine Learning	AI-assisted intelligence, analytical workflows and intelligent information processing
Data Engineering	Integration and processing of mineral, market, price and reference datasets
PostgreSQL / Data Platforms	Structured data storage, management and analytical data services
Geospatial Intelligence	Geographic context, spatial analysis and mineral/geographic intelligence
Remote Sensing	Supporting spatial intelligence and geographic analysis where required
Enterprise Software	Core GCM-MIS application and system development
API Architecture	Integration with approved internal and external data sources
Business Intelligence	Market dashboards, analytical indicators and decision-support outputs
Data Visualization	Charts, indicators, analytical views and reporting interfaces
UI/UX	User workflows, wireframes, dashboard interfaces and user-centred interaction
Knowledge Graphs / Knowledge Systems	Structured relationships between minerals, markets, entities and information
DevSecOps	Secure development, deployment automation and operational controls
AI Security	Security, robustness and assessment of AI-enabled components
Document Intelligence	Extraction, discovery and analysis of information contained in approved documents
Cloud Infrastructure	Secure deployment and scalable application infrastructure

This capability combination supports the proposed GCM-MIS architecture covering data integration, data quality, market intelligence, price monitoring, analytics, AI-assisted intelligence, visualization, reporting, security and deployment.

6.9 Experience Evidence and Procurement Integrity

Arybit Technologies is committed to maintaining complete accuracy and transparency in the presentation of its experience.

Accordingly:

External projects will only be presented as commercial contracts where supporting evidence exists.
Contract values will only be stated where they can be verified through appropriate documentation.
Client contact details will only be provided where authorised and available for procurement-reference purposes.
Internal research and development activities will remain clearly identified as internal R&D.
Academic and technical projects will not be represented as commercial client contracts.
Innovation programmes and participation activities will not be represented as completed commercial assignments.
Proposal-stage or demonstration-stage engagements will not be represented as awarded or completed contracts.
Pilot activities will be identified as pilots unless documentary evidence supports a different contractual classification.
Relevant project references will be supported, where available and required, by appropriate evidence such as contracts, purchase orders, completion certificates, acceptance documentation or authorised client references.
No unsupported contract value, client reference, completion date, award status or project outcome will be presented as fact.

This evidence-based approach is intended to preserve procurement integrity while providing UNDP with a clear and accurate representation of Arybit's technical capabilities, development experience and readiness to deliver the proposed assignment.

6.10 Relevance to the Ghana Critical Minerals Market Intelligence System

Arybit's relevant technical capability provides a multidisciplinary foundation for the proposed GCM-MIS.

The combination of:

AI and machine learning;
data engineering and structured data management;
business intelligence and data visualization;
enterprise software engineering;
API and systems integration;
geospatial intelligence and remote sensing;
knowledge systems;
document intelligence;
cybersecurity and DevSecOps; and
cloud deployment capabilities

enables Arybit to address the principal technical dimensions of the assignment.

The proposed GCM-MIS will bring these capabilities together into a dedicated Ghana-focused platform for critical-minerals market intelligence, price monitoring, data management, analytical visualization, reporting and decision support.

Arybit's technology assets—including Arybit Intelligence CORE™, AARAB™ and GeoAlterSense™—will serve as enabling capabilities where appropriate, while the final solution will be governed by the approved UNDP requirements, Ghanaian institutional requirements, data-access arrangements, security controls and agreed implementation scope.

6.11 Company Contact

Arybit Technologies.
Nairobi, Kenya

Website: arybit.co.ke
Email: info@arybit.co.ke
Telephone: +254 720 989818

Authorization

Submitted by: Arybit Technologies.

Authorized Representative: Stephen Karitu
Corporate Position: Founder & Lead Solutions Architect
Assignment Role: Project Lead / Authorized Representative

Negotiation Reference: UNDP-GHA-00537-2

Stephen Karitu

Founder & Lead Solutions Architect

Date: 02 September 2026