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AI / ML Integration

AI and ML Integration

Real AI capabilities that create defensible competitive moats. Not chatbot wrappers. Not marketing buzzwords. LLM features, RAG pipelines, custom AI agents, and predictive models embedded into your product by engineers who have shipped 45+ AI-native products in production.

AI Capabilities

AI that creates real, defensible competitive moats

The difference between AI that impresses in a demo and AI that drives retention is depth of integration. We design every AI feature around your users\u2019 actual workflows, not as features bolted on top.

LLM-Powered Product Features

Embed OpenAI, Anthropic Claude, or Google Gemini into your core product workflows. Document generation, intelligent search, data extraction, content summarisation, and natural language interfaces that users rely on daily and come back for.

OpenAI GPT-4oAnthropic ClaudeGoogle GeminiLangChainStructured outputsFunction calling

RAG and Knowledge Systems

Retrieval-Augmented Generation pipelines giving your AI access to proprietary data with accuracy, attribution, and citations that generic off-the-shelf LLMs simply cannot match at enterprise scale.

PineconeWeaviateQdrantpgvectorLlamaIndexSemantic search

Custom AI Agents

Multi-step agents taking autonomous action within clearly defined guardrails. Research agents, data enrichment, personalisation engines, workflow automation, and complex multi-agent systems built on your business logic.

LangGraphCrewAIAutogenTool useHuman-in-the-loopAgent guardrails

Predictive ML Models

Custom models trained on your data. Churn prediction, lead scoring, demand forecasting, anomaly detection, credit underwriting, and recommendation engines that improve automatically with every new interaction.

PyTorchScikit-learnXGBoostMLflowFeature storesModel serving

Computer Vision

Document processing, medical imaging analysis, object detection, OCR pipelines, and visual quality inspection for Healthcare, Manufacturing, and Logistics clients across multiple continents.

OpenCVYOLO v8Tesseract OCRAWS RekognitionAzure VisionHugging Face

MLOps and Model Governance

Model versioning, A/B testing frameworks, drift detection, automated retraining pipelines, and the governance and explainability frameworks enterprise buyers require before trusting AI in critical workflows.

MLflowWeights and BiasesModel cardsDrift detectionExplainabilityResponsible AI
Our Full AI Stack

Every major AI platform, deployed in production

We work across the full AI landscape and select the right approach for your specific use case, not the buzziest technology of the month. Our AI engineers have delivered over 45 AI-native products that are live in production, generating measurable user value every day.

We are honest about what AI can and cannot do. In our free scoping sessions, we tell you exactly which AI features will move your retention and conversion metrics, and which ones are expensive investment without commercial payoff.

\u2713LLMs: OpenAI, Anthropic Claude, Gemini, Mistral, Llama 3
\u2713Vector DBs: Pinecone, Weaviate, Qdrant, pgvector, Chroma
\u2713Orchestration: LangChain, LlamaIndex, LangGraph, CrewAI
\u2713ML Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face
\u2713Cloud AI: AWS SageMaker, Azure ML, Google Vertex AI
AI Products Shipped
45+
Live in production globally
LLM Partners
OpenAI + Claude + Gemini
Accuracy Improvement
3.4X
vs off-the-shelf AI baseline
Domain Specialisms
Healthcare + FinTech + Legal + B2B SaaS
AI Integration FAQ

Common questions about AI and ML integration

Ready to make your product genuinely smarter?

Free AI scoping session. We identify the highest-ROI AI features for your product and tell you honestly what will not work before you spend engineering budget finding out the hard way.

Book a free AI scoping session \u2192