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Machine Learning & Computer Vision

Custom models trained on your data for prediction, ranking, recognition and visual inspection.

Some problems need a model trained on your own data: forecasting demand, scoring leads, recommending products or spotting defects on a production line. We build, test and deploy those models end to end.

Our computer vision work lets machines scan and recognise images and objects, then label, count, categorise and extract data, for retail, healthcare, manufacturing and security use cases.

PythonPyTorchscikit-learnYOLOOpenCVMLflowSageMaker
What’s included
  • Custom Model Development
  • Recommendation Systems
  • Classification & Scoring Models
  • NLP & Text Understanding
  • Computer Vision & Inspection
  • Object Detection & Counting
  • Demand & Time-Series Forecasting
  • Training Data & Labelling
  • Model Deployment & APIs
  • Retraining & Monitoring
Where it pays off

Typical use cases

01

Manufacturing

Detect defects, count items and check packaging from camera feeds.

02

Retail & e-commerce

Recommend products based on browsing and purchase behaviour.

03

Lending & fintech

Score applications and flag risk using your historical data.

04

Healthcare

Assist with image triage and document classification under clinical oversight.

Delivery

How we deliver Machine Learning

Free discovery call

We learn your business, goals and the tasks that eat your team’s time.

Scoped proposal

A fixed scope, timeline and price, with the KPI we will move.

Build & test

Weekly demos on real data, with guardrails and testing built in.

Launch & support

Go live, train your team and keep improving with monthly support.

FAQ

Machine Learning: common questions

How much data do we need to train a model?
It depends on the problem. Some models work with a few thousand examples; for others we start with pre-trained models and fine-tune them.
Can computer vision run on our existing CCTV cameras?
Often yes. Many detection and counting tasks work on standard IP camera feeds, processed on a local machine or in the cloud.
Who owns the trained model?
You do. The model, training code and documentation are handed over at the end of the project.
Next step

Talk to us about Machine Learning

Book a free call and we’ll show what this could look like for your business, with a rough timeline and price.

  • Contact personVarinder
  • Emailcontact[@]aiscroll.com
  • Office#09, Anand Vihar, Peer Baba Road, Baltana, Zirakpur, Mohali, Punjab 140604

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