Services · 01
AI systems that actually work inside your business.
Agents, RAG, LLM integration, training and inference — engineered for production, not demos.
The problem
AI Engineering
Most AI initiatives stall between a promising prototype and a system the business can rely on. Models hallucinate, costs drift, and nothing is connected to the tools people actually use.
What we build
Capabilities
Agentic AI
Agents that reason, call tools and complete multi-step business workflows.
LLM Integration
OpenAI, Anthropic, Gemini and open models wired into your products.
RAG / Knowledge Systems
Grounded answers over your documents, wikis and databases.
AI Assistants
Copilots for support, sales and internal teams with guardrails.
Model Training & Fine-tuning
Domain-adapted models trained on your data.
AI Inference & MLOps
Serving, evaluation, monitoring and cost control in production.
Computer Vision
Detection, classification and document understanding pipelines.
Voice AI
Real-time voice agents for calls, bookings and qualification.
Data Annotation
Labelling pipelines and quality control for training data.
Architecture
A typical system we'd build.
Every engagement is designed around your tools and data. This is the shape most of them take.
Use cases
Where it pays off.
- Support agent that resolves tickets end-to-end and escalates edge cases
- Internal knowledge assistant over policies, contracts and SOPs
- Document extraction that turns PDFs into structured records
- Voice agent that qualifies inbound calls and books meetings
Technology
What we build with.
- OpenAI
- Anthropic
- Gemini
- Hugging Face
- PyTorch
- pgvector
- Python
- Go
Related services
Often combined with
Software Engineering
Web and mobile applications, backends, APIs and SaaS platforms built to scale with you.
- Web Applications
- Mobile Applications
- Backend Engineering
Automation & Digital Operations
Business process automation, CRM and Microsoft 365 workflows, integrations and data pipelines.
- Business Process Automation
- AI Workflows
- CRM Automation
Infrastructure, Cloud & DevOps
Cloud infrastructure, CI/CD, MLOps, networking, monitoring and migrations.
- Cloud Infrastructure
- CI/CD
- MLOps
Tell us what you want to automate.
Describe what you're trying to build, automate or improve. An engineer, not a salesperson, replies within one business day.