← All Services

AI Services — production
systems, not
proof-of-concept work.

We build AI systems that operate in production, from document evaluation to voice interactions. When you need the same engineering capability applied to your problem, these are the services we provide.

Built for production.
Not for demos.

Our AI development is grounded in our own production platforms, deployed in government and enterprise where the AI must be accurate, auditable, and reliable under load.

When you commission custom AI development, you engage the same team and standards that built those platforms.

Start a project
From problem to production · 4 steps
01
Operational assessment
What breaks, what it costs, what the AI must do to fix it — defined before any model is selected.
02
Model selection + data pipeline
Production standard from day one. No synthetic test sets. No demo data.
03
Integration + testing on real data
Connected to your systems. Tested against the conditions it will face in production.
04
Live + monitored
Named contact. Performance reporting. Model updates as the data changes.
Our standard
If it wouldn't pass scrutiny in a government audit, we don't ship it.

The full AI
capability stack.

Machine Learning

Custom ML models trained on your data — from predictive analytics and classification to recommendation engines and anomaly detection.

Natural Language Processing

Text analysis, document intelligence, sentiment analysis, and language models tailored to your domain and use case requirements.

Process Automation

Automation for the cases rule-based RPA can't handle — reading context from unstructured inputs, handling exceptions, and routing the ambiguous ones to a person instead of failing silently.

Computer Vision

Image and video analysis, object detection, quality inspection, and document processing.

AI Strategy & Consulting

Roadmap development, use-case prioritisation, build-vs-buy analysis, and AI governance frameworks.

Model Operations (MLOps)

Production ML pipelines, model monitoring, retraining automation, and performance tracking.

How we build
AI that works.

01

Use Case Discovery

We identify the highest-value AI opportunities in your business — prioritising based on data availability, technical feasibility, and business impact.

02

Data Assessment & Preparation

We audit your data — quality, volume, and structure — and build the data pipelines and labelling processes needed for model development.

03

Model Development & Testing

We build, train, and rigorously test models against your real-world scenarios — iterating until performance meets the standard your use case demands.

04

Deploy, Monitor & Improve

Production deployment with full monitoring, alerting, and retraining pipelines. Your AI improves continuously — not just on day one.

See AI in action
in our products.

Conversational AI

Voice Agent

Our proprietary voice AI platform — handling complex multi-turn conversations at scale for government and enterprise clients.

Explore Voice Agent →
Tender Intelligence

TenX

Procurement evaluation software for government and enterprise — automates bid evaluation, maps evidence to requirements, and produces structured audit-ready records.

Explore TenX →

Tell us the use case.
We'll tell you if AI fits it.

Describe the task, the data you already have, and what the output has to look like. We'll tell you plainly whether this is an AI problem — and what building it to production standard would take.