Applied intelligence
AI & Machine Learning
The useful AI projects share a trait: they replace a specific, expensive, repetitive human task and they are measured against what that task used to cost. We start there, and we will tell you when conventional software would solve your problem more cheaply.
The distance between an impressive demo and a system your staff trust on a Monday morning is where most AI budgets disappear. Accuracy on a curated sample means little; what matters is behaviour on messy real inputs, a sensible answer when the model is unsure, and a human review path for the cases that carry risk.
We build AI features into working software — retrieval systems grounded in your own documents, extraction pipelines for the paperwork your team retypes, forecasting models with honest error bars, and evaluation harnesses that catch regressions before your users do.
Capabilities
What AI & Machine Learning covers
AI applied to a measurable problem, not a press release.
LLM applications & assistants
Internal copilots and customer-facing assistants built on Claude, GPT or open models, with the guardrails and escalation paths a business needs.
RAG knowledge systems
Retrieval-augmented systems that answer from your own policies, manuals and records, with citations so answers can be verified.
Document intelligence
Invoice, contract, claim and identity document processing that extracts structured data, flags anomalies and routes exceptions to a human.
Computer vision
Quality inspection, counting, defect detection and safety monitoring from camera feeds, deployable on edge hardware where bandwidth is limited.
Predictive analytics
Demand forecasting, churn prediction, credit scoring and maintenance prediction with the confidence intervals that make the output actionable.
MLOps & evaluation
Versioned models, automated evaluation suites, drift monitoring and retraining pipelines so accuracy does not quietly decay.
Why it works
What you get that you might not expect.
These are the commitments clients tell us mattered most once the project was underway.
Measured against a baseline
We record what the task costs in time and error rate today, so the improvement is a number rather than an impression.
Humans kept in the loop
Confidence thresholds, review queues and audit trails for every decision that carries financial or regulatory weight.
Your data stays yours
Clear data handling agreements, regional processing where required, and self-hosted open models when policy demands it.
Cost engineered
Model choice, caching, batching and prompt design tuned so inference cost per transaction is sustainable at full volume.
How we deliver
Our ai & ml process
Every stage produces something you can look at, use or disagree with. Nothing is invisible until the end.
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1
Use-case triage
A shortlist of candidate problems scored on value, data readiness and risk. Some come back with a recommendation to use ordinary automation instead.
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2
Data assessment
What data exists, its quality, its labelling state and whether it can legally and practically be used for the intended purpose.
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3
Prototype & evaluate
A working prototype on your real data with an evaluation set and accuracy targets agreed before we build further.
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4
Productionise
Integration into your systems, monitoring, fallback behaviour, cost controls and rate limiting.
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5
Monitor & improve
Ongoing evaluation against fresh data, drift alerts and scheduled retraining or prompt revision.
Proof
This service, in production.
Confidential (NBFC, South India)
From a 9-day loan decision to under 4 hours
A non-banking financial company processing 1,200 loan applications a month took nine days to reach a decision, losing most applicants to faster competitors...
Precision Components Ltd (auto components, Coimbatore)
Raising OEE 14 points by making the shop floor visible
A components manufacturer recorded production on paper and entered it days later. Nobody could see the current shift. We connected the machines and built t...
Technologies we use for this
Chosen per project rather than by house policy. We will explain the trade-off in plain terms before anything is decided.
Questions
AI & Machine Learning — your questions
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Services that pair with AI & ML
Thinking about ai & machine learning?
Tell us the problem. You will get a rough cost, a rough timeline and an honest view on whether it is worth building — before anyone talks about a contract.