AI Integrations

Embed AI into every layer of your business.

We do not build AI products — we integrate AI capability into your existing systems, workflows, and customer experiences. Practical, governed, and built for enterprise scale.

Start an Integration →Full AI Service →

40+

AI integrations delivered

6 wks

Average time to prototype

100%

Data kept in client tenancy

< 100ms

Typical inference latency

Integration Types

What we integrate

LLM-Powered Enterprise Apps

We integrate large language models into enterprise applications — document Q&A, internal knowledge bases, contract analysis, email triage, and code assistants — all grounded in your proprietary data with zero leakage to public models.

Internal knowledge search

Contract & document review

Customer service automation

Code generation & review

Predictive Analytics Integration

Embed ML-powered prediction directly into operational systems — CRMs, ERPs, dashboards, and customer-facing products. Churn prediction, demand forecasting, risk scoring, and pricing models surfaced where decisions are actually made.

Churn & retention prediction

Demand forecasting

Credit & risk scoring

Dynamic pricing engines

Computer Vision Systems

Production computer vision for quality control, document processing, identity verification, and asset inspection. We build the full pipeline — data labelling, model training, optimisation for edge or cloud inference, and deployment.

Defect & quality inspection

Document digitisation (OCR)

Identity & fraud verification

Asset condition monitoring

Conversational AI & Agents

AI agents that go beyond chatbots — autonomous workflows that gather context, take actions across systems, and resolve complex multi-step tasks. Built on LLMs with tool-use, memory, and human-in-the-loop escalation.

Customer support resolution

IT helpdesk automation

Sales & procurement agents

Agentic data analysis

Technical Approaches

How we build AI integrations

RAG Architecture

Retrieval-Augmented Generation grounds LLM responses in your documents, database records, and knowledge bases — eliminating hallucinations and keeping answers factual, current, and auditable.

Private Model Deployment

For organisations with strict data governance requirements, we deploy open-weight models (Llama, Mistral, Qwen) entirely within your cloud tenancy — no data leaves your environment.

Fine-Tuning

When base models need to understand your domain terminology, response style, or classification taxonomy, we fine-tune on curated datasets — improving accuracy and reducing inference costs.

Agentic Workflows

Multi-step AI agents that use tools, call APIs, read from databases, and write back to systems — executing complex tasks autonomously with defined guardrails and human oversight where required.

Technology Stack

The AI stack we deploy with

LLM Providers

OpenAI GPT-4oAnthropic ClaudeGoogle GeminiMeta LlamaMistral

Orchestration

LangChainLlamaIndexAutoGenCrewAILangGraph

Vector Databases

PineconeWeaviatepgvectorQdrantChroma

ML Frameworks

PyTorchTensorFlowScikit-learnXGBoostHugging Face

Cloud AI

AWS BedrockAzure OpenAIVertex AISageMakerDatabricks

Serving & Ops

TritonBentoMLMLflowKubeflowRay Serve

Have an AI integration in mind?

Tell us what you are trying to build. We will come back with a clear technical approach — no obligation, no sales pitch.

Discuss Your Integration →Full AI Services →