IndusAI
Solutions
IndusAI Solutions builds data analytics, machine learning and applied AI systems for businesses — scoped tightly around one process that is measurably slow, and handed over to your team when it works.
Weareasmallengineeringteambuildingdataanalytics,machinelearningandappliedAIsystemsforbusinesses.
We take on a small number of scoped engagements at a time and work directly with the people who own the process. Client work is covered by NDA, so what we show publicly is capability rather than case studies.
Intelligentsoftwarebuiltforscale
What we
do
Services
Fourthingswedo,andwhateachoneactuallychangesforabusiness.
Engagements are scoped around one of these, with a defined outcome and a handover at the end. Most start with a short call to work out whether there is a real problem worth solving.
Data analytics
Turning operational data into decisions
Machine learning
Click to shrinkModels trained on your own data
Outcome
Better calls on demand, risk and priority
Forecasting, classification and ranking built on a client’s historical data, evaluated honestly against a held-out baseline, and delivered into the tools the team already works in.
- Trained on your history, not a generic dataset
- Evaluated before anything reaches production
- Predictions delivered where the work happens
Applied AI
Automating work that needed a person
Engineering & handover
Systems that keep working after we leave
WebuilddataandAIsystemsforbusinesses.Theworkitselfstaysprivate.
Our engagements are covered by NDA and are not deployed publicly, so this is not a gallery of named projects. What we can show you is how we work and where we are strong — and we are happy to walk through specifics with you directly.
Making operational data usable
We take the data a business already generates — scattered across systems, exports and spreadsheets — and turn it into one reliable picture teams can act on.
What changes
- •Reporting that matches what actually happened
- •Metrics defined once, consistently, across teams
- •Manual reporting work removed from the week
Models trained on your own data
Forecasting, classification and ranking built on the client’s historical data, evaluated honestly, and handed over with the reasoning documented rather than hidden.
What changes
- •Better decisions on demand, risk and prioritisation
- •Predictions delivered where the work already happens
- •Clear evaluation, so you know when to trust the output
Automating work that needed a person
Document handling, extraction, review queues and internal assistants — scoped narrowly to a process that is measurably slow, then automated end to end.
What changes
- •Repetitive review and data entry handled automatically
- •Faster turnaround on high-volume internal processes
- •People kept in the loop where judgement is required
How we work
NDA first
Every engagement starts under NDA. Nothing a client shares with us is used elsewhere, shown in a deck, or published.
Scoped engagements
We take a small number of high-end, tightly scoped projects with a defined outcome rather than open-ended retainers.
Your infrastructure
Work runs inside client infrastructure or isolated environments we set up for the engagement. Data stays where it belongs.
No public case studies
Delivered work is not deployed publicly under our name and we do not publish client logos or write-ups. Ask us directly instead.
Student internship projects are separate training builds and are not client deliverables.
Internship training programmes
1-month programmes for college students. Offer letter, guided project, certificate and LoR.
View all programmes