Smarter support, instantly
Connect frontier models like GPT, Claude and Gemini — or open-weight Llama and Mistral on your own infrastructure — into the software your team already uses.
AI that actually saves you time and money
We build AI systems that save your team hours of manual work, help you respond to customers faster, and turn data into useful insights — ready to use in the real world, not just a demo.
- 01
Incoming request
“Can I change my current plan?”
- 02
Model + your data
- Intent detected
- Customer context retrieved
- Response prepared
- 03Ready
Result
Request resolved and CRM updated
(01)Capabilities
Four ways AI earnsits keep.
Every capability below ships as working software in your product — not a slide deck.
AI trained on your business
Proprietary AI agents trained exclusively on your internal data for customer support, HR and research.
See what's coming next
Use historical data to forecast trends, demand and risk with high-precision machine learning models.
Hours back every week
Remove bottlenecks by automating document processing, scheduling and routine administrative tasks.
(02)Delivery
From messy data toa trusted feature.
A structured approach to delivery that ensures precision at every phase of the project.
- 01
Data audit
We analyse your data infrastructure to ensure quality, security and readiness for AI.
- 02
Strategy & design
A roadmap that aligns AI capabilities with your specific business goals.
- 03
Implementation
Rapid prototyping and agile development of your custom AI solution.
- 04
Optimisation
Monitoring, feedback loops and model refinement to keep performance high.
(03)The stack
44 tools, every layer.
From the models themselves down to the evals and cost monitoring that keep them honest. We track the ecosystem as it shifts, so you get what works today.
- 01
Models & LLM APIs
Frontier and open-weight models, picked per task on cost, latency and reasoning depth.
- OpenAI
- Claude
- Gemini
- Llama
- Mistral AI
- DeepSeek
- Grok
- Qwen
- 02
Agent Frameworks & Orchestration
Where the trend moved fastest — durable, stateful agents instead of single-shot prompts.
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- OpenClaw
- MCP
- 03
Retrieval & Vector Data
Grounding answers in your own documents, tickets and records so the output is verifiable.
- Pinecone
- Qdrant
- Weaviate
- Chroma
- Milvus
- pgvector
- 04
Machine Learning & Deep Learning
Fine-tuning, forecasting and vision models trained on your data, not just API calls.
- PyTorch
- TensorFlow
- Hugging Face
- scikit-learn
- Keras
- OpenCV
- 05
Model Serving & Infrastructure
Self-hosted or managed inference, sized so throughput-per-dollar stays predictable.
- vLLM
- Ollama
- NVIDIA CUDA
- Ray
- Amazon Bedrock
- Azure
- 06
Automation & AI Interfaces
The workflow layer that puts a model in front of your team and your customers.
- n8n
- Zapier
- Dify
- Streamlit
- Gradio
- FastAPI
- 07
LLMOps, Evaluation & Data
Tracing, evals and cost monitoring — the part that keeps an AI feature trustworthy after launch.
- LangSmith
- Langfuse
- MLflow
- Weights & Biases
- Airflow
- Databricks
Case studies
AI products in production.
Conversation intelligence, computer vision, document understanding and brand-safe generation — designed and engineered end to end.
A business intelligence and workflow assistant that answers questions from your own documents and always cites where the answer came from.
A conversation intelligence platform that transcribes calls as they happen, clusters what customers are really asking about, and helps the person on the line while the call is still live.
An AI creative studio where marketing teams generate campaign imagery that stays inside their brand rules, with every asset carrying a record of exactly how it was made.
A computer vision inspection system that checks every part coming off a production line, explains why it flagged something, and sends only the genuinely uncertain cases to a person.
(→)Start a project
Put AI to work on the problem that costs your team the most hours.
What happens next
- 01A senior engineer replies within one business day.
- 02A short call to understand the problem and constraints.
- 03A written plan, timeline and price — no obligation.
Scope your AI project
Describe the workflow you want automated and we'll come back with what is realistic, what it costs, and how we'd prove the ROI first.