Re aga ka se re se itseng.
Mopane Technologies is a Botswana technology company building public-good products and delivering high-value AI, data, and engineering solutions for organisations.
From Botswana, for the world.
01 What we do
We build public-good products that remain free to the people they serve, and deliver high-value technology solutions for organisations.
Focused products around real public needs, beginning with Bopa. We define the beneficiary, keep access free, and measure whether the product is actually useful.
Built patiently. Proven with real people. Adopted responsibly.
Selective, project-based AI, data, software, robotics, embedded, and IoT work for organisations in Botswana and beyond.
Commercial delivery supports an independent company and creates room to invest in public-good products.
02 Public-good flagship · Bopa
Bopa is a programming platform built to help learners begin creating with code. Its language layer can support any language, while the first ecosystem begins in Botswana.
The editor is only the beginning. Bopa can grow with learning material and work created by teachers, students, and independent creators.
Individual learners use Bopa free. Schools, colleges, curricula, and programmes can license supported use and pay for integration, implementation, customisation, evaluation, and adaptation.
Free for learners. Open source in the future.
# Kgolokwe e latela peba tiro setaLoeto() { thalaKanefase(400, 400); } tiro tshwantsha() { bokamorago(19, 21, 15); kgolokwe(pebaX, pebaY, 60); }
03 Why we build
Botswana has the talent, knowledge, and ambition to create globally useful technology. The opportunity is to turn what people know into products that improve public life and capabilities that organisations can rely on.
Technology is most useful when people can actually access it. At Mopane, public good means a clear social benefit and free access at the point of use for the people a product is built to serve.
Starting in Botswana gives us understanding. It does not place a boundary on where useful work can go.
Botswana first.
Not Botswana only.
04 How Mopane builds
The strongest work grows from a clear understanding of who it is for and what they need.
Start with real needs, users, and institutions in Botswana. Proximity creates the understanding that useful products require.
Choose the simplest tools that make the idea useful, reliable, and practical. That may be software, AI, data, robotics, embedded systems, or connected devices.
Use evidence to guide what we build and to understand whether it works. Research belongs wherever it makes the product or solution better.
After proof, adapt with native expertise and local partners rather than assuming one community's context transfers unchanged.
05 Commercial solutions
Mopane delivers high-value, project-based work for organisations in Botswana and beyond. Engagements begin with a real decision, system, or product to improve.
Readiness assessments, use-case selection, technical roadmaps, and clear decisions about where AI or data can create value.
Pipelines, warehouses, telemetry, analytics foundations, and the load-bearing systems behind reliable decisions.
Focused prototypes and production systems across machine learning, language, computer vision, and automation.
Sensors, connected devices, physical computing, and integrated hardware and software for real operating environments.
Web applications, internal tools, APIs, workflow automation, and connections between existing systems.
Architecture reviews, product feasibility, delivery risk, and an experienced technical view before a major decision.
06 Founder
Built by an engineer who has shipped difficult systems.
Amrit grew up in Gaborone and studied computer science at Cornell through Botswana's Top Achievers Scholarship, completing both a bachelor's and a master's degree.
At Meta Reality Labs Research, he worked on Project Aria: device streaming, telemetry, multi-sensor synchronisation, and provisioning for thousands of research devices in the field.
He later led data engineering for Nightingale, building telemetry, analytics, and machine-learning systems for a live-service game used by more than half a million players.
Today, as Lead AI Platform Engineer at FactualIQ, he builds a secure enterprise AI orchestration platform serving clients across education, finance, construction, and media. His work includes client deployments and global infrastructure for tens of thousands of parallel AI agents, from telemetry and monitoring to costing, billing, licensing, and SOC 2 compliance.
For Mopane's clients, that means combining new AI capabilities with proven software, data, and physical-systems engineering to build secure, observable, and scalable systems.