AI & Data Solutions

Ship AI Features Faster

For product teams adding AI to an existing product: RAG assistants, agents, document intelligence and predictive features delivered by engineers who have shipped them before.

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  • RAG assistants and copilots
  • Agentic workflows
  • Document intelligence
  • Predictive analytics
  • Evaluation and guardrails
  • Cost and latency control

Core services

What we build for ai & data products

We know the constraints of this sector and build with them in mind from the first sprint.

AI Copilots

In-product assistants grounded in your data with citations and feedback loops.

RAGOpenAIClaudeLangChain

Document Intelligence

Extraction and classification across hundreds of document types.

OCRComputer visionLLM extraction

Predictive Features

Forecasting, scoring and anomaly detection embedded in product workflows.

XGBoostTime seriesSHAP

MLOps

Evaluation, monitoring and deployment pipelines for models in production.

MLflowKubernetesObservability

Have a roadmap this would unblock? Scope it with an engineer, not a sales deck.

Book a free technical consultation
  • Turning a demo into a feature customers pay for
  • Measuring LLM quality before and after every release
  • Keeping inference costs predictable

Solutions we build

Common shapes of work in this sector, each delivered end to end.

01AI copilots and assistants
02Document processing and OCR
03Recommendation engines
04Fraud and anomaly detection
05Forecasting platforms
06AI engineering roadmaps

Results from recent engagements

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Founded in Addis Ababa
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Focus areas: software, networking and IT
0 days
Target onboarding time
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Core values guiding every engagement

Case study snapshot

AutoBridge Systems

AI-powered citizen communication triage for public agencies.

Challenge

Agencies needed to classify over 10,000 daily communications into 50+ categories with high accuracy and full audit trails.

Solution

An LLM triage engine with RAG for policy-aware classification, immutable audit logs and automated response drafting.

Result

99% classification accuracy, a 73% reduction in response time and a compliance audit with zero findings.

Our Lean-Agile methodology

A roadmap built around your business success.

STAGE 1

Analysis & Modeling

Requirements, business logic and feasibility.

STAGE 2

POC or MVP

Rapid validation before committing to scale.

STAGE 3

Development & Re-engineering

1 to 4 week sprints with a Product Owner and Scrum Master.

STAGE 4

Securing & Deployment

Hardening, automated deployment and monitoring.

STAGE 5

Staged Development & Support

Iterate on real usage with managed reliability.

Our partners and clients

Tabside
Pixel Tech
TechniData
Kifiya
Kokeb
AutoBridge
Tena Clinical
Fidel Academy
Hypodossier
Gebeya
Nexa POS
Lumen Analytics
Tabside
Pixel Tech
TechniData
Kifiya
Kokeb
AutoBridge
Tena Clinical
Fidel Academy
Hypodossier
Gebeya
Nexa POS
Lumen Analytics

Why teams pick Menna

What clients tell us mattered most.

  • Production LLM deployment expertise
  • Responsible AI and bias mitigation
  • MLOps and model lifecycle management
  • Domain expertise in regulated sectors
  • Data privacy-first approach
  • Continuous model improvement

AI & Data Solutions FAQs

Yes, including prompt engineering, RAG, guardrails and cost optimization through caching and model routing.

Held-out test sets, cross-validation, domain-expert review and human-in-the-loop evaluation for LLMs, plus automated regression testing.

Bias audits, fairness-aware training, SHAP and LIME explainability and documented limitations for every model.

Start a conversation

Let’s solve a real problem together.

Whether you need software built, a network installed or a partner for a digital transformation program, your first conversation is with the people who will do the work.

We reply within one business day. Based in Addis Ababa, working with partners in Ethiopia and beyond.

2026
Founded in Addis Ababa, Ethiopia
2
Focus areas: software, networking & IT
4
Core values: Service, Wisdom, Stewardship, Excellence
3
Founding leadership team