Custom AI Solutions
Purpose-built AI for problems a general model cannot solve — computer vision, demand forecasting, document extraction, anomaly and fraud detection.
What is Custom AI Solutions?
Custom AI solutions are models trained on an organisation's own data to solve a problem that general-purpose AI cannot, such as recognising defects specific to your product line or forecasting demand against your own sales history. ADM Technology runs a feasibility study on your data first, then builds and validates computer vision, forecasting, document extraction and anomaly detection models to 95%-plus accuracy against agreed business metrics, deploying them as an API or at the edge with drift monitoring and scheduled retraining.
Overview
Bespoke models trained on your data
Not every AI problem is a language problem. Counting defects on a production line, forecasting stock by SKU and store, reading a decade of scanned forms or spotting the transaction that does not belong all need models trained on your own labelled data. We build those, validate them against your business metrics, and keep them accurate as conditions drift.
95%+
Validated model accuracy
10x
Faster than manual review
Edge
On-device inference
Exactly what we do, step by step
Every Custom AI Solutions engagement follows a clear, phased path — so you know precisely what work happens, in what order, and what comes out of each stage.
Data Audit & Feasibility Study
We examine the data you actually hold — volume, labelling quality, class balance and collection method — and tell you early if the problem is not yet solvable rather than after a costly build.
Labelling & Dataset Engineering
We define an annotation standard, set up labelling with quality checks, and engineer training, validation and holdout splits that reflect real operating conditions instead of a convenient laboratory subset.
Model Development & Benchmarking
We benchmark classical approaches like gradient boosting against deep learning and fine-tuned foundation models, choosing on measured accuracy, inference cost and how well the result can be explained.
Business Metric Validation
We test against the metric that pays — false negatives caught, stockouts avoided, review hours removed — because a model with excellent aggregate accuracy can still fail badly on the cases that matter most.
Deployment & Integration
We ship the model as a versioned inference API or compile it to run on edge hardware and cameras where latency or connectivity demands it, integrating results into your existing operational systems.
Monitoring, Drift & Retraining
We track prediction distribution and live accuracy against ground truth, alerting when drift appears, and run a retraining pipeline so the model keeps up as your products and conditions change.
What's included in every engagement
The building blocks we bring to your product — proven, production-grade and tailored to your goals.
Exactly what you walk away with
Tangible, hand-off ready assets — no black boxes, full ownership.
Related services
Custom AI Solutions — common questions
Straight answers to what teams ask us most before starting. Need specifics? Talk to a senior engineer.
Anything needing a model trained on your specific data rather than a general model prompted well. Common examples: computer vision for defect detection, quality inspection or people counting; document AI that extracts fields from invoices, claims and scanned forms; demand forecasting by SKU and location; predictive maintenance on machinery; churn and credit risk scoring; and anomaly detection for fraud. If your data is the differentiator, it is a custom build.
Let's build something exceptional together.
Tell us where you're headed. We'll show you how to get there faster — with production-grade software and a senior team.