Embed intelligence into every layer of your product
We integrate large language models, computer vision, and ML pipelines directly into your existing systems — so AI becomes a capability, not a side project.
Every form of AI, integrated into your stack
From language models to computer vision — we connect the right AI capability to the right place in your product.
LLM Integration
GPT-4, Claude, Gemini, and open-source models integrated into your product workflows.
RAG Pipelines
Retrieval-augmented generation over your own data — accurate, cited, and hallucination-resistant.
Document Intelligence
Extract, classify, and act on data from PDFs, invoices, contracts, and forms at scale.
Computer Vision
Image classification, object detection, and visual inspection pipelines for your use case.
AI Automation
Replace manual workflows with intelligent agents that reason, decide, and act autonomously.
Predictive Analytics
ML models that forecast demand, churn, fraud, and other business-critical outcomes.
What can AI do for your business?
Select a use case to see a live preview of how we'd build it.
AI Support Chatbot
We build and deploy fine-tuned chatbots trained on your documentation, ticket history, and product knowledge base. The bot handles FAQs, troubleshooting, and escalation routing — so your human team only sees the edge cases.
68%
Ticket deflection
1.2s
Avg. response time
4.7/5
CSAT score
Document Intelligence
Extract structured data from any document at scale.
Predictive Analytics
Forecast demand, churn, and revenue before it happens.
AI Workflow Automation
Replace repetitive decisions with intelligent agents.
Computer Vision
See, classify, and act on visual data automatically.
Semantic Search
Search by meaning, not just keywords.
From zero to production AI in seven weeks
A structured pipeline that moves fast without cutting corners on accuracy, safety, or maintainability.
Discovery
Week 1We map your existing systems, data sources, and workflows to identify exactly where AI delivers the highest ROI.
Architecture
Week 2Model selection, integration design, data pipeline planning, and security review — all documented before a line of code.
Integration
Weeks 3–5We build the connectors, fine-tune the models, and wire everything into your stack with full test coverage.
Evaluation
Week 6Accuracy benchmarking, latency testing, edge case handling, and human-in-the-loop review before going live.
Deployment
Week 7Staged rollout with monitoring, fallback handling, and cost controls in place from day one.
Iteration
OngoingWe monitor model drift, retrain on new data, and expand capabilities as your product grows.
The difference is measurable
Customer Support
avg. response time
Human agent queue
Customer Support
avg. response time
AI-first resolution
Document Processing
per invoice
Manual data entry
Document Processing
per invoice
Automated extraction
Churn Prevention
intervention timing
Noticed after churn
Churn Prevention
early warning
Predicted in advance
Search Relevance
query success rate
Keyword matching
Search Relevance
query success rate
Semantic understanding
We work with every major AI platform
Model-agnostic by design — we choose the right model for your use case, budget, and latency requirements.
Large Language Models
Text generation, reasoning, summarisation, classification, and code.
Embedding Models
Semantic search, similarity matching, and RAG retrieval pipelines.
Vision Models
Image classification, object detection, OCR, and visual QA.
Speech & Audio
Transcription, speaker diarisation, and voice interfaces.
ML & Prediction
Tabular ML, time-series forecasting, and anomaly detection.
Start the conversation
Tell us one thing you want AI to handle in your product. We'll show you exactly how we'd build it — free, within 48 hours, no obligation.
No commitment · Audit delivered in 48 hours · No sales pitch