MAKINI Datalabs
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Data is
Everything.

Makini Datalabs builds systems that collect, process, and transform massive datasets into decisions that move organisations forward.

What We Do

End-to-end
data capabilities.

Whether you're just starting to collect data or running a mature data platform, we have the expertise to take you further.

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Data Engineering

We design and build robust data pipelines — from ingestion to transformation — capable of handling billions of events at scale.

ETL / ELTStream ProcessingData Lakes
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Analytics & BI

Turn raw numbers into clarity. We build analytics platforms that surface the right insight to the right person at the right time.

DashboardsPredictive ModelsReporting
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Machine Learning

From recommendation engines to anomaly detection, we build and deploy ML models that learn from your data and get smarter over time.

ForecastingNLPComputer Vision
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Data APIs

We expose your data as clean, fast, developer-friendly APIs — enabling internal teams and partners to build on top of your data assets.

REST / GraphQLReal-timeSDKs
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Data Infrastructure

Cloud-native platforms on AWS, GCP, or Azure. We architect and manage infrastructure that scales with your growth.

CloudKubernetesData Warehouses
security

Data Governance

Compliance, privacy, and quality built in from day one. We help organisations manage their data as a trusted, auditable asset.

ComplianceData QualityAccess Control

Our Products

Built on data.
Built for scale.

Products born from our own research and real data problems in the African market.

Live
Rekodi Pesa

Rekodi Pesa

Record sales, expenses & earnings on WhatsApp — in Swahili.

No app to download. No spreadsheets. No accounting skills needed. Just send a WhatsApp message in Swahili or English and Rekodi Pesa logs it instantly — then ask for your report any time.

You"Nimeuza soksi 5,000"
Imewekwa ✓ TZS 5,000 loggedBot
You"Nionyeshe muhtasari wa wiki hii"
Mauzo TZS 35,000 · Gharama TZS 18,500 · Faida TZS 16,500Bot
  • checkWhatsApp-native — no app install
  • checkSwahili & English support
  • checkInstant TZS reports
  • checkSales, income & expense tracking
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Beta

DataSense

Self-serve analytics for growing teams.

DataSense lets non-technical teams explore their data through a natural-language interface — no SQL, no bottleneck.

  • checkNatural language queries
  • checkEmbedded dashboards
  • checkTeam collaboration
  • checkCSV & API imports
Learn Morearrow_forward
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Coming Soon

FlowPipe

Visual data pipeline orchestration.

A developer-friendly pipeline tool for data teams who want reliable, observable workflows without managing heavyweight infrastructure.

  • checkVisual pipeline builder
  • checkBuilt-in observability
  • checkGit-native workflows
  • checkMulti-cloud deployment
Learn Morearrow_forward

About Us

We live and
breathe data.

Makini Datalabs is a data company headquartered in Dar es Salaam, Tanzania. Our mission is simple — make data accessible, actionable, and trustworthy for any organisation willing to bet on it.

We started as a team of engineers frustrated by how hard it was for African businesses to harness their own data. Everything we build comes from that frustration — and from knowing exactly what it takes to work with data at scale in this market.

Rekodipesa is our first product. More are coming. We're just getting started.

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Data-First Thinking

Every product we build, every decision we make starts with data. We don't guess — we measure.

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African Context

We build for the African market from the inside out — understanding the nuances that generic solutions miss.

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Trust & Accuracy

Our pipelines are built with quality gates at every step. Garbage in, garbage out — we refuse the former.

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Speed to Value

We ship fast, iterate on real data, and are obsessed with delivering value before perfecting abstractions.

Get In Touch

Let's talk
data.

Whether you have a project in mind, want to learn more about our products, or are just curious about what we do — we'd love to hear from you.

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Location

Dar es Salaam, Tanzania

language

Rekodipesa

rekodipesa.com