Contact centres
Transcribe every customer interaction into actionable data - analyse sentiment, detect key topics, and assist agents live, mid-call.
Now reasoning for Africa · Est. 2024
Where Curiosity Meets Intelligence
Architecting autonomous agents capable of navigating, reasoning, and learning within the chaotic friction of complex physical and digital environments.
Who We Are
Building the Future of Autonomous Intelligence
Rexplore Research Labs Limited is an AI research and product development company building autonomous agents, multilingual voice AI, and intelligent cloud platforms for African and global markets.
Our research focuses on RL, multi-agent systems, agentic AI, and NLP for low-resource African languages, enabling intelligent systems that learn, reason, collaborate, and adapt in real-world environments. We develop ASR, STT, and TTS models that power AI-driven call centers, customer support, sales automation, and conversational business solutions across underserved languages and markets.
Our flagship platform, Luso8 Cloud, helps businesses discover customers, automate engagement, and expand across African markets under the African Continental Free Trade Area (AfCFTA). The platform combines autonomous AI agents, voice AI, CRM automation, omnichannel communications, market intelligence, and customer support into a unified business operating system designed for Africa’s growing digital economy.
“Most AI companies are racing to scale large language models; we are taking a different path, focused on agents that learn through interaction.”
The Rexplore Thesis
Built in Malawi
Designing for constraints as seriously as we design for scale.
Rexplore was established in the heart of Lilongwe, and that choice is strategic rather than incidental. Building from Malawi means designing for limited infrastructure, local languages, and regulatory variability as a discipline, not a compromise. The systems we ship are resilient because the environment demands it.
The absence of legacy systems on the continent is, for us, an opportunity to reimagine how intelligent systems are architected rather than a limitation to work around. We are engineering systems that are efficient, dependable, and oriented toward solving substantive problems, for Africa first, then for the rest of the world.
Est. 2025 · Lilongwe, MalawiCoords. 13.96°S · 33.78°EForm. Hybrid lab, research × engineering
Flagship · Open Source
Voxtra
Open voice infrastructure for AI agents. A Python framework that bridges telephony (Asterisk, FreeSWITCH, LiveKit) with AI providers (STT, LLM, TTS), so developers can build AI-powered call centers without learning telecom internals.
support_call.py
from voxtra import VoxtraApp
app = VoxtraApp.from_yaml("voxtra.yaml")
@app.route(extension="1000")
async def support_call(session):
await session.answer()
await session.say("How can I help?")
text = await session.listen()
reply = await session.agent.respond(text)
await session.say(reply.text)Voice AI for Enterprise
Solutions that scale.
As Africa’s voice AI leader, Rexplore Research Labs drives better outcomes with enterprise solutions that deliver intelligent voice experiences safely and securely - experiences that understand local context and local language, at scale. From transcription to voice synthesis to AI voice agents, we bring the contact centre and the business into one platform: Luso8 Cloud.
Transforming business with voice AI
Integrating voice into your application, contact-centre platform, or AI agent is hard. It doesn’t have to be. See what voice AI can do for you.
AI voice agents
Natural, real-time voice agents that answer, understand, and resolve calls end to end - in local languages and accents.
Sales outreach
Voice and multichannel agents that qualify leads, follow up, and book meetings, so teams spend their time on conversations that convert.
Transcription & synthesis
Production-grade speech-to-text and lifelike text-to-speech, tuned for African languages and local context.
How we’re organised
Three divisions, one scientific core.
Each division has a distinct focus, and each feeds insight back into the others, so the science, the products, and the industrial work strengthen one another.
01 / THE SCIENTIFIC FOUNDATION
Research Division
Fundamental research in reinforcement learning, multi-agent systems, AI safety, and adaptive intelligence. Studies how agents learn through interaction, how groups coordinate, and how learned behaviour stays safe when conditions change. The division publishes its findings and provides the ideas and methods the rest of the company builds on.
Explore the division01 / 03
Research Focus
See all research areasSix threads, one division.
Reinforcement Learning
Foundational RL - the base layer every other thread builds on.
Multi-Agent Reinforcement Learning
Coordination, competition, and equilibrium in systems of multiple learning agents.
NLP for Low-Resource African Languages
Tokenisation, transfer learning, and synthetic data for the languages mainstream LLMs treat as long-tail.
Voice Models - ASR · TTS
Speech recognition, synthesis, and real-time streaming, tuned for African languages and the accents call centres actually hear.
Multi-Agent Systems
Beyond RL: protocols, mechanism design, and game-theoretic guarantees.
Autonomous Agents
End-to-end agentic architectures - memory, planning, tool use.
Publications
All PapersLatest Work
Technical NoteOct 27, 2024
Understanding Embeddings: The Hidden Power Behind Language Models
Large Language Models like GPT, Claude, and Gemini rely on embeddings, dense vector representations of words, to generate accurate and context-aware responses. This post explores the history of embeddings from N-grams and One-Hot Encoding to the breakthrough of Word2Vec, and explains why embeddings are key to enabling AI tools to understand and process language effectively.
, Byamasu Patrick Paul
In preparation2025
First peer-reviewed papers in preparation.
The lab is in its first research cycle. Our active inquiries, efficient communication in multi-agent systems, scalable RL under partial observability, and resource-aware learning in distributed environments, are tracked on the research page. Subscribe for the next note when a paper is ready.
, Rexplore Research Labs
Partners
Builders that back us.
A small set of partners whose support is load-bearing for what we ship, from the data that grounds our voice work to the infrastructure underneath the products.
