Service
AI & Machine Learning
Custom AI solutions that solve real business problems — not science projects.
Most AI projects fail because they optimise for technical novelty rather than business value. We take a pragmatic, product-engineering approach to AI — identifying the problems where ML will actually outperform simpler solutions, building models that work reliably in production, and integrating AI capabilities into your products in ways users actually experience.
AI & Machine Learning
Client Satisfaction
98%
Deliverables
What We Deliver
AI Opportunity Assessment
A structured analysis of your data, processes, and competitive landscape to identify where AI will deliver the highest ROI.
Custom ML Model
A trained, validated, and documented model solving your specific classification, regression, recommendation, or NLP problem.
LLM Integration
GPT-4, Claude, or open-source LLM integration into your product — with retrieval-augmented generation, fine-tuning, and prompt engineering.
ML Pipeline & MLOps
Automated data pipelines, model training, evaluation, versioning, and deployment infrastructure ensuring your models stay current and reliable.
AI-Powered Feature
A production-integrated feature — recommendation engine, intelligent search, document processing, fraud detection — your users interact with daily.
Methodology
How We Work
Problem Framing
We translate your business objective into a precise ML problem statement, evaluate data availability, and assess technical feasibility before any model work.
Data & Baseline
We explore and prepare your data, establish baseline performance with simple models, and validate that the ML approach will materially outperform the baseline.
Model Development
Iterative model development with rigorous evaluation — multiple algorithms, hyperparameter tuning, bias analysis, and performance on held-out test data.
Production Deployment
Model serving infrastructure, monitoring for drift, A/B testing framework, and feedback loops to keep models improving post-launch.
Stack
Technologies We Use
Use Cases
Industry Applications
We've delivered this service across every major industry sector in Africa and globally.
FinTech
Credit scoring model for a microfinance lender using alternative data, improving loan approval accuracy by 28% and reducing defaults by 19%.
Agriculture
Crop disease detection model using mobile phone images, deployed to 10,000+ smallholder farmers via a WhatsApp chatbot.
E-Commerce
Personalised product recommendation engine increasing average order value by 23% for an online retail platform.
Healthcare
Clinical document classification system reducing insurance claims processing time from 3 days to 4 hours.
Why Us
Why choose Elom Labs for AI & Machine Learning?
We build AI solutions that work in production, not just in notebooks — model serving, monitoring, and maintenance are core deliverables.
Our data scientists are full-stack AI engineers who can take a model from exploration all the way to a user-facing production feature.
We are pragmatic about when AI is and is not the right tool — we will tell you if a rule-based system or simpler statistical approach is a better fit.
Pricing
AI / ML Development Packages
Transparent packages to fit every stage. Need something custom? Talk to us.
AI Integration
Embed LLM into existing product
- OpenAI / Claude API integration
- Prompt engineering
- RAG pipeline setup
- Chat UI component
- 2-week delivery
Custom Pipeline
Custom ML model or agent system
- Custom model fine-tuning or training
- Data pipeline setup
- Vector DB (Pinecone/Weaviate)
- REST API wrapper
- Monitoring dashboard
- 2-month support
AI Product
Full AI-native SaaS or automation platform
- Multi-agent orchestration
- LLMOps infrastructure
- Human-in-the-loop workflows
- Enterprise data connectors
- Compliance & privacy controls
- Dedicated AI engineer
All prices are starting rates. Final project cost confirmed after a free discovery call.
FAQ
Common Questions
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