AI implementation services

Get your AI out of pilot purgatory.

Most AI projects stall between a promising demo and a system the business can rely on. We embed dedicated AI engineers in your team to close that gap: production AI shipped into your existing stack, aligned to your hours, delivered from secure in-office facilities, without the cost or the six-month hunt for a US AI hire.

  • 100% in-office delivery
  • US time-zone aligned
  • HIPAA · SOC 2 · ISO 27001 certified
Capabilities

The work that gets you to production.

Built for mid-market teams and regulated enterprises with the ambition and the budget, but not the engineering bench. These are the six areas we own to move you from demo to deployed.

AI-Powered Applications

Custom web and internal tools with AI embedded at the core, not bolted on.

LLM Integration & Prompt Engineering

Connect your products to leading language models with reliable, production-grade prompt architectures.

RAG Pipelines & Knowledge Tooling

Retrieval-augmented generation systems that ground AI responses in your proprietary data.

Computer Vision & Multimodal AI

Image, video, and sensor data pipelines for perception, classification, and quality-control use cases.

MLOps & Model Deployment

End-to-end infrastructure for training, versioning, monitoring, and deploying models at scale.

AI Workflow Automation

Replace manual, rule-based processes with intelligent automation that learns and adapts.

Technology

The stack behind every engagement

  • Python
  • TensorFlow
  • PyTorch
  • OpenAI API
  • Anthropic API
  • Hugging Face
  • LangChain
  • Supabase
  • PostgreSQL
  • FastAPI
  • React
  • Lovable
  • AWS
  • Google Cloud
  • Docker
Engagement models

Three ways to engage

Embedded Engineer

A single senior AI/ML engineer joins your team, works in your tools, attends your standups. From 1 month.

Good for

Early-stage AI integration, prototyping, small backlogs.

Starts with a scoping call

Agile Squad

A 3 to 6 person cross-functional squad of engineers, MLOps, and QA, delivering sprint by sprint. From 3 months.

Good for

Production AI builds, parallel workstreams.

Starts with a scoping call

Managed AI Pod

A fully managed team with a dedicated lead, operating as your outsourced AI engineering function. 6 to 12 months or longer.

Good for

Sustained product development, scaling AI roadmaps.

Starts with a scoping call

Track record

Delivered, not promised

AI Data · Autonomous Mobility & Medical AI

3D perception and clinical AI datasets

3D point-cloud and LiDAR annotation for an autonomous mobility startup, plus PLAX cardiac geometry maps and body-pose estimation datasets for a digital rehab platform.

  • 15+ clinical structures segmented
  • 3D point cloud & pose estimation
AI Data · Sports Tech Media

Live broadcast AR advertising data

Augmented-reality advertising data engineered for major international sports leagues.

  • 1M+ multipoint polygons & frames
  • +30% revenue unlocked for content owners
Software Engineering Staff Augmentation

Built-to-suit offshore delivery centre

Sourced and embedded a dedicated senior engineering team within an immersive, branded physical office framework.

  • 50+ senior engineers placed
  • 15-month sustained delivery

Enterprise-grade compliance, certified

  • HIPAA
  • SOC 2 Type II
  • ISO 27001
  • PCI-DSS
  • GDPR
  • Cyber Essentials

Delivered from 100% in-office, access-controlled facilities in South Africa and Zimbabwe.

Scope your AI build in a 30-minute call.

Tell us the use case and your stack. We will map the build, the team, and a phased delivery plan.