Custom AI Engineering

We don't just advise on AI.
We build it.

Off-the-shelf AI tools are built for the average business. Your business is not average. We design and build AI systems from the ground up, around your workflows, your data, and your specific outcomes.

Generic AI tools are built for everyone. That means they are built for no one.

Most businesses trying to adopt AI run into the same three walls.

01

The tool doesn't fit the workflow

Off-the-shelf AI products are built around generic use cases. Your business has specific processes, edge cases, and logic that no product was designed for. You end up bending your workflow to fit the tool instead of the other way around.

02

The AI doesn't know your data

Pre-trained models are trained on the internet, not on your business. They don't know your products, your customers, your terminology, or your history. The outputs feel generic because the inputs are generic.

03

Consultants advise. Nobody builds.

Most AI consultants will give you a strategy deck and a technology recommendation. Then you're handed off to a vendor or a dev team who wasn't in the room. The gap between strategy and a working system is where most AI projects fail.

Four types of AI systems.
All built from scratch.

Every engagement starts with your business problem, not with a technology preference.

Workflow Automation

Repetitive decisions, routing logic, approvals, data entry, and process handoffs. All the things your team does that follow a pattern. We build AI systems that handle these automatically, with the right escalation logic when human judgement is genuinely needed.

Process Automation Decision Routing Integration

Intelligent Data Systems

Your business generates data constantly. Most of it sits unused. We build systems that ingest, structure, and reason over your data, giving you AI that understands your business context, not just public information. From RAG pipelines to custom knowledge bases.

RAG Pipelines Knowledge Bases Data Intelligence

Conversational AI

Customer-facing agents, internal assistants, lead qualification systems, support automation. We build conversational AI that actually knows what it's talking about because we train it on your products, your tone, and your business logic. Not a generic chatbot.

AI Agents Customer Engagement Lead Qualification

Custom Model Integration

You don't always need to build a model from scratch. Sometimes the right answer is connecting the right model to your stack, fine-tuning it on your data, and wrapping it in business logic that makes it genuinely useful. We architect and build that entire layer.

Fine-tuning API Integration Model Deployment

We built our own AI products.
That is the track record.

We haven't just advised on AI. We have designed, built, and deployed working AI systems. These are our own products, built in-house, proof that we know how to take an AI concept from architecture to something that actually runs.

Talk to Us About Your Build
BotBuddie
A conversational AI system for customer engagement and support. Built with intent classification, context management, and business-specific knowledge integration.
Conversational AI
CalendarCaddie
An intelligent scheduling assistant that handles booking logic, conflict resolution, and calendar management through natural language interaction.
Workflow Automation
PingPal
An AI-driven engagement system for managing follow-ups, nudges, and communication sequences with context-aware timing and personalisation.
Intelligent Automation
Fixi
A maintenance and service request management system powered by AI triage, routing, and resolution tracking for operational teams.
Operations AI

From your problem to a working system

We don't hand you off. The same team that understands your problem is the team that builds the solution.

01

Understand

We map your workflow, your data, and the specific outcome you need. No assumptions.

02

Architect

We design the system: models, data pipelines, integration points, and failure handling.

03

Build

We build it. Real engineering, real code, real testing against your actual use cases.

04

Integrate

We connect the system into your existing stack: CRM, ERP, communication tools, databases.

05

Iterate

We monitor, refine, and improve based on real-world performance. The work doesn't stop at launch.

Have an AI problem that needs building?

Tell us what you need. We'll tell you how we'd build it. No pitch decks, no vague proposals. Just a real conversation about your problem and what it takes to solve it with AI.