Service Detail
AI Development
Applied AI systems for document processing, prediction, classification, and workflow automation.
What we solve
Overview
AI that solves a real business problem
Most businesses don't need a general-purpose AI chatbot. They need specific problems solved: documents processed faster, decisions automated more consistently, data classified accurately, or predictions made from the patterns already sitting in their operational data. Aron Tech builds AI systems for exactly those problems. We don't treat AI as a marketing feature — we treat it as an engineering tool. Our work covers machine learning pipelines, large language model integrations, computer vision applications, and intelligent automation systems — all built for production use, not as proof-of-concept demos.
What's Included
Where businesses are wasting time on problems AI solves
Manual document processing
Staff spending hours extracting data from invoices, contracts, forms, and reports that should be processed automatically.
Inconsistent classification
Support tickets, transactions, applications, or products categorised differently by different people — causing downstream errors.
Slow decision-making
Decisions that require synthesising large amounts of data, taking too long because the data isn't in one place or in a usable form.
No predictive capability
Businesses sitting on years of operational data but unable to use it to predict demand, risk, churn, or maintenance needs.
Manual quality control
Human reviewers checking outputs manually when AI could flag anomalies and only escalate genuine exceptions.
Repetitive content generation
Teams producing variations of the same content — reports, summaries, descriptions — that could be generated automatically from structured data.
Overview
Applied AI built for production
We start by identifying the exact problem — the data available, the decision or output required, and how the AI system will integrate with your existing processes. We don't recommend AI where simpler solutions work better. Where AI is the right tool, we build proper pipelines: data preparation, model training or fine-tuning, evaluation against real performance benchmarks, and deployment into your production environment with monitoring and retraining mechanisms in place.
What's Included
What we build
Document intelligence systems
Automated extraction, classification, and validation of data from invoices, contracts, forms, and unstructured documents.
Classification and categorisation
ML models that classify tickets, transactions, products, communications, or any input consistently at scale.
Predictive analytics
Models that forecast demand, predict churn, score risk, or flag anomalies based on your historical operational data.
LLM integrations
Production integrations of large language models for document summarisation, question answering, content generation, and intelligent search.
Computer vision
Image and video analysis for quality control, defect detection, document scanning, and visual data capture.
AI-powered automation
Intelligent process automation that handles exceptions and edge cases — going beyond simple rule-based RPA.
How It Works
How we deliver AI projects
Problem definition and feasibility
We define exactly what the AI system must do, assess data availability and quality, and confirm whether AI is the right approach versus simpler alternatives.
Data audit and preparation
We assess your existing data, identify gaps, and build the data pipelines needed to train, evaluate, and run the model reliably.
Model development and evaluation
We build, train, and evaluate models against real performance benchmarks — not accuracy scores in isolation, but outcomes that matter for your use case.
Integration and deployment
We integrate the model into your existing systems via API, embed it in your workflow, and deploy to production with proper monitoring.
What's Included
AI applications across industries
Finance and banking
Fraud detection, transaction classification, document processing for KYC and compliance, and credit risk scoring.
Healthcare
Clinical note processing, diagnostic support, patient risk stratification, and insurance claim classification.
Logistics and supply chain
Demand forecasting, route optimisation, document extraction from shipping paperwork, and anomaly detection.
Legal and professional services
Contract analysis, document review, clause extraction, and precedent search using LLM-based systems.
Retail and e-commerce
Product recommendation, returns classification, demand prediction, and customer behaviour analysis.
Manufacturing
Quality control vision systems, predictive maintenance from sensor data, and production anomaly detection.
What's Included
Why choose Aron Tech for AI development
We start with the problem, not the technology
We recommend AI only when it's the right tool. Many problems are better solved with deterministic code — and we'll tell you that honestly.
Production-grade engineering
We build for production deployment — not demo accuracy. Monitoring, logging, retraining pipelines, and failure handling are part of every engagement.
Your data stays yours
We build on your infrastructure or in your cloud environment. Your training data and model weights remain under your control.
Measurable performance benchmarks
We define success criteria before we build — precision, recall, throughput, or business outcomes — and evaluate against them.
Integration with your existing systems
AI outputs integrate into your workflows via APIs, webhooks, or direct database writes — not siloed in a separate dashboard.
Explainable outputs where it matters
For regulated industries and high-stakes decisions, we build explainability into the model so outputs can be audited and justified.