Corporate Portfolio

Technical Portfolio

Completed Projects & Platform Capabilities

ARYBIT TECHNOLOGIES

Artificial Intelligence | Geospatial Intelligence | Enterprise Software | Cloud Infrastructure | Digital Transformation

Version: 1.0 | Publication Date: July 2026

About This Portfolio

This portfolio showcases Arybit Technologies' technical capabilities through selected research projects, platform development initiatives, prototypes, and pilot-ready solutions.

Project status is clearly identified as Completed R&D, Pilot, Prototype, or Active Development to provide an accurate representation of maturity.

Technical Capability Areas

Artificial Intelligence
Enterprise AI Platforms
Geospatial Intelligence (GIS)
Remote Sensing & Earth Observation
Enterprise Software Development
Cloud Infrastructure
API Development & System Integration
Digital Transformation
Data Analytics
Workflow Automation

Portfolio Summary

Project	Sector	Status
AI-Powered Urban Flood Risk Mapping	Climate & Disaster Risk	Completed R&D
Arybit Intelligence CORE	Enterprise AI	Pilot
AARAB AI	Research & Knowledge Systems	Active Development
Geo Intelligence Platform	GIS & Earth Observation	Pilot
Critical Minerals Intelligence Platform	Mining	Prototype
AI Document Intelligence	Enterprise Automation	Pilot
Enterprise Knowledge Platform	AI Knowledge Management	Prototype

Status: Completed Research & Development

Sector

Climate Resilience • Disaster Risk Reduction • Urban Planning

Background

Rapid urbanization and climate variability have increased flood risks across many African cities. Traditional flood assessment methods are often labor-intensive and depend on fragmented datasets. Arybit developed an AI-assisted geospatial workflow to automate flood susceptibility analysis using satellite imagery and spatial analytics.

Objectives

Develop an automated flood assessment workflow.
Integrate satellite imagery with terrain and rainfall data.
Produce decision-support maps for planners.
Demonstrate cloud-based geospatial processing.

Solution & Technology Stack

The solution combines Google Earth Engine, Sentinel-2 imagery, Digital Elevation Models, and rainfall datasets with machine learning models. The stack includes Python, FastAPI, PostgreSQL/PostGIS, React, Docker, and Azure.

Deliverables & Outcomes

The project produced an automated processing workflow, flood susceptibility maps, an interactive GIS dashboard with an API, and reporting tools. Key outcomes include automated analysis, reduced manual processing, and a reusable geospatial workflow for climate intelligence.

Project 2: Arybit Intelligence CORE

Status: Pilot

A modular enterprise AI platform for governments and enterprises seeking secure deployment of generative AI. Features include AI Assistants, RAG, Document Intelligence, and multi-agent workflows. It supports SaaS, Private Cloud, Hybrid, On-Premise, and Air-Gapped deployments.

Technology Stack: Python, FastAPI, PostgreSQL, Vector DB, Redis, Docker, Kubernetes, Azure.

Project 3: Geo Intelligence Platform

Status: Pilot

A cloud-native geospatial intelligence platform for environmental monitoring, natural resource management, and spatial analytics. Modules include satellite imagery processing, change detection, and climate intelligence.

Technology: Sentinel, Landsat, Google Earth Engine, Python, PostGIS, Mapbox, React.

Project 4: Critical Minerals Intelligence Platform

Status: Prototype

An AI-powered platform combining geological data, satellite analytics, and LLMs to support mineral exploration, environmental monitoring, and ESG intelligence for governments and mining organizations.

Technology: Google Earth Engine, Python, PostGIS, FastAPI, React, Docker, LLMs.

Project 5: AARAB AI

Status: Active Development

An autonomous research assistant supporting advanced knowledge discovery and intelligent document analysis. Capabilities include enterprise search, knowledge synthesis, and semantic document intelligence for government, academic, and corporate use cases.

Engineering Practices

Software Engineering

Agile methodology, version control (Git), CI/CD, API-first architecture, and modular design.

Cloud Engineering

Containerization (Docker), infrastructure automation, secure deployments, monitoring, and backup strategies.

AI Engineering

Responsible AI principles, RAG, model evaluation, prompt engineering, and human-in-the-loop oversight.

GIS Engineering

Spatial databases, remote sensing, satellite processing pipelines, geospatial analytics, and web GIS.

Technology Stack

Programming

Python
JavaScript/TS

Frameworks

FastAPI
React
Node.js

Databases

PostgreSQL/PostGIS
Vector DBs

Cloud

Azure
Docker/K8s

GIS

Google Earth Engine
Sentinel/Landsat

AI

LLMs
RAG
AI Agents

Delivery Methodology

Every project follows a structured lifecycle to ensure quality, transparency, and alignment with client objectives.

Discovery & Requirements Analysis
Solution Architecture & Design
Agile Development & Prototyping
Quality Assurance & Testing
Deployment & Integration
Training & Knowledge Transfer
Support & Continuous Improvement

Contact Information

Arybit Technologies

Nairobi, Kenya

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

Building Secure AI Infrastructure for Africa