Machine Learning & AI
From recommendation engines to LLM-powered workflows. We focus on production ML: monitoring, drift detection, and clean APIs your engineers can integrate.
Or book a 30-min call to talk it through.
Overview
Models that ship — not science projects.
- Discipline
- Data
- Starts from
- $2,800 USD
- Senior-led
- Always
- Post-launch support
- 30 days included
What you get
Everything we ship.
Discovery + feasibility study
Model training and evaluation
Production API + monitoring
LLM workflows (RAG, agents, fine-tuning)
Ideal for
Who this is for.
Teams with data, no ML talent
Adding AI to existing products
Custom GPT-style assistants
Investment
Three ways to start.
Choose the tier closest to your scope — we'll confirm the exact fit on a discovery call. All prices are fixed-fee in USD; we never bill by the hour for delivery work.
Basic
A working ML feature, integrated.
Teams adding their first AI feature — recommendations, classification, or LLM-powered text.
4–6 weeks
Includes
- Discovery call + feasibility memo
- One model trained, evaluated, and deployed
- Production API your engineers can call
- Basic monitoring (latency, errors, model drift)
- Documentation and a handover session
- 30 days of post-launch support
Not included
- —Custom data labelling at scale
- —Multiple model variants or A/B infrastructure
- —Fine-tuned LLMs or RAG systems
Standard
RecommendedA real ML system in your stack.
Companies where AI is now a competitive feature, not a side project.
8–14 weeks
Includes
- Everything in Basic
- Custom RAG system with your knowledge base
- LLM workflows — assistants, agents, or generation
- Fine-tuning of a small open model if appropriate
- A/B infrastructure for safe rollout
- Drift detection and retraining schedule
- Cost-monitoring dashboard
- Eval suite to catch regressions
- 60 days of support
Enterprise
AI as a platform capability.
Companies with multiple AI features, regulatory exposure, or proprietary data moats.
Custom
Multi-phase, ongoing
Quoted after a discovery call. Typical engagements start at $30,000 plus retainer.
Includes
- Everything in Standard
- Self-hosted / VPC-deployed LLM inference
- Custom data labelling pipeline with your team
- Multiple production models with shared infrastructure
- Compliance documentation (model cards, audit logs)
- Internal ML platform tooling for your engineers
- Dedicated retainer + ongoing research time
- Quarterly model reviews
Prices in USD; we accept GHS at today's rate. Final scope is always confirmed in writing before any contract is signed.
Considering us?
Let's build it together.
Tell us a little about your project. We'll come back with a written scope and an honest estimate within 48 hours.
Want to write it down properly? Use the detailed brief
