AI & machine learning services
Put your business data to practical use.
Your business may have useful information spread across documents, images and records. VisionWrapper helps you explore where AI can support daily work, test the idea on representative data and connect a useful solution to your existing systems.
Based in Pune. Working with businesses across India.
What this service helps you do
Custom AI and machine learning use your business information to carry out a defined task. Examples include reading documents, classifying requests, finding patterns and estimating future demand. The approach depends on the question and the data available.
Where it can help your business
Find information in documents
Extract agreed fields, organise records or search business knowledge. Keep source material available so your team can check the output.
Support business decisions
Explore patterns, classify records or forecast demand using relevant historical data. Compare results with your current approach before relying on a model.
Add AI to an existing product
Build language, image or prediction features around a clear user need. Evaluate quality and running costs before planning a wider release.
A clear path from idea to daily use
Explore our capabilitiesCheck the use case and data
We define the task, review sample data and agree what a useful result would look like. This helps identify gaps before development.
Test a focused prototype
We evaluate a suitable approach on representative examples. You review the results, failure cases and likely operating costs.
Integrate and review
If the prototype meets the agreed criteria, we plan integration into your product or workflow, with review points and monitoring suited to the task.
Before we start
How can AI help a small or medium business?
AI may help with time-consuming document review, finding information, sorting incoming requests or analysing business records. A useful first project has a specific task, suitable data and a clear way to check the result.
Do we need a large dataset or a custom-trained model?
Not always. Some tasks can use existing models with your documents or business rules. Other tasks need labelled historical data and model training. We assess the task and available information before choosing an approach.
How do you check whether the AI is useful?
We agree evaluation criteria around the business task, then test representative examples and difficult cases. We compare the output with an existing process or baseline and review errors with your team.
How are data access and privacy handled?
We discuss what information is needed, who can access it and whether any external model services are involved. Hosting, retention and access controls need to be agreed for the project before sensitive information is shared.
Bring us a task worth improving.
Bring the business question, a small representative data sample and an example of a useful answer. We will discuss data access, quality and evaluation before proposing a build.