Applied intelligence

Intelligence that works inside your business.

Generative AI, retrieval and autonomous agents built into real products — not a chatbot bolted on, but intelligence woven into the workflow.

03 — AI / ML
Applied Intelligence
Capabilities

A full applied-AI capability stack.

Model-agnostic by design — we build around the best model for the job, and swap it out as the field moves.

01

Generative AI

Language and content generation grounded in your product's actual context and constraints.

02

LLM applications

Foundation models integrated as reasoning engines inside real workflows, not standalone chat widgets.

03

Retrieval-augmented generation

Responses grounded in your live data through vector search and structured retrieval.

04

AI agents

Autonomous execution across tools and APIs — agents that take actions, not just suggest them.

05

Computer vision

Understanding of images and video woven into inspection, moderation and search workflows.

06

Predictive analytics

Forecasting and decisioning models trained on your historical signal.

07

Automation

Repetitive operational work handled by models with human review where it matters.

08

MLOps

Versioned models, monitored inference and a path from experiment to production.

Intelligence layer

AI isn’t a feature. It’s a layer.

We embed intelligence into the products we build.

LLM
LLM

Foundation model reasoning over language and context.

RAG
RAG

Retrieval grounds responses in your real, current data.

AI Agents
AI Agents

Autonomous execution across tools and workflows.

Computer Vision
Computer Vision

Understanding of images, video and physical context.

Predictive Intelligence
Predictive Intelligence

Forecasting and decisioning from historical signal.

Applications
Applications

Delivered inside the product people actually use.

Use cases

Where this shows up in production.

01

Support & operations

Agents that resolve tickets end-to-end, escalating only what genuinely needs a human.

02

Search & discovery

Retrieval that understands intent, not just keyword overlap.

03

Content & personalization

Generation and ranking tuned to each user's context.

04

Risk & fraud

Predictive models scoring transactions and behaviour in real time.

Have an AI capability worth building?

Let's scope where retrieval, agents or prediction actually move the needle for your product.