Service

AI and Machine Learning Integration

We build AI solutions that move beyond demos into production. From RAG-powered knowledge bases to autonomous agents, we integrate intelligence where it creates real business value.

We integrate artificial intelligence into products that ship to production — not demos that live in notebooks. From RAG pipelines to autonomous agents, we build AI features that solve real problems and generate measurable ROI.

What's included

  • Custom AI chatbots and virtual assistants
  • RAG systems for knowledge base search
  • Document processing and data extraction
  • Predictive analytics and recommendation engines
  • LLM fine-tuning and prompt engineering

Key metrics

48h

Feasibility assessment

> 90%

Accuracy baseline

100%

Evals before deploy

Multi

Model providers

How We Build It

A layered production architecture designed for reliability, performance, and maintainability.

Architecture OverviewProduction-grade
Client

User Interface

Edge

AI SDK Streaming

Edge runtime

Application

LLM Router

OpenAI / Anthropic

Data

Vector DB

Pinecone / pgvector

Document Store

Embeddings + metadata

Infrastructure

Monitoring

Langfuse / Sentry

Architecture varies per project — this represents our standard production pattern for this service.

Our Process

01

Use-Case Scoping

Define the problem, success metrics, and the data available before selecting a model or architecture.

02

Evaluation Harness

Build ground-truth datasets and automated evaluation pipelines before any model is deployed.

03

Prototype and Test

Rapid iteration on prompts, retrieval strategies, and model selection with measurable benchmarks.

04

Production Hardening

Observability, cost controls, prompt injection defences, and staged rollout to real users.

Technology Stack

OpenAI
Anthropic
LangChain
Vercel AI SDK

Why clients choose us

  • End-to-end ownership — no agency hand-offs
  • Architecture documented before any code is written
  • Tests written alongside features, not as an afterthought
  • Fixed-price phases with clear deliverables

What We Build

AI Chatbots and Assistants

Customer support bots, internal knowledge assistants, and domain-specific copilots. Grounded in your data using RAG, not generic LLM responses.

RAG and Knowledge Systems

Retrieval-augmented generation systems that let your users query internal documents, product catalogues, and knowledge bases using natural language.

Document Processing and Extraction

Automated pipelines that read, classify, and extract structured data from PDFs, contracts, invoices, and unstructured text at scale.

Recommendation and Personalisation Engines

Collaborative filtering, content-based recommendation, and hybrid models that surface the right product, content, or action for each user.

AI-Assisted Workflows and Copilots

Productivity features embedded directly into your existing product — smart autocomplete, draft generation, data summarisation, and intelligent form assistance.

Our Approach to AI in Production

Model Selection Without Vendor Lock-In

We evaluate OpenAI, Anthropic, Google, and open-source models for each use case. We pick the right tool, not the most fashionable one.

Evaluation Before Deployment

We build evaluation harnesses before deploying AI features. Every model output is tested against ground truth before it reaches your users.

Observability and Cost Control

AI features are expensive to run carelessly. We instrument every LLM call with logging, latency tracking, and cost monitoring from day one.

Keeping Up With Model Releases

The AI landscape changes monthly. We maintain a structured process for evaluating new models, running shadow tests, and upgrading safely without breaking production.

Security and Compliance

We implement prompt injection defences, output sanitisation, and data isolation to ensure AI features cannot be used to expose sensitive information or bypass business logic.

Technologies

OpenAI, Anthropic Claude, LangChain, Vercel AI SDK, Pinecone, pgvector, Python, Node.js.

Start Your AI Project

Tell us the problem you want AI to solve. We will assess feasibility, propose an architecture, and identify the right model and approach within 48 hours.

Ready to get started?

Let's build your intelligent systems that deliver measurable roi.

Tell us what you need. We respond within one business day with a technical plan and realistic timeline — no sales pitch.

Start Your Project