An engineering consultancy for data, AI and web platforms
We are data, AI and software engineers who build and run the systems we design. This page explains where we come from, how we work and where you can check our work.
Our story
IndTech Solutions was founded in 2024 by data and AI engineers who wanted to solve practical data-automation and analytics problems. That hands-on engineering background shapes how we scope, build and hand over every project.
We have worked on projects in retail, finance, healthcare, legal and agri-tech: reducing manual reporting, automating document processing and giving teams data they can act on. Client names are confidential, so our projects page describes the work without them.
How we approach engineering
Principles are only useful if you can see what they change in the work. Here is what each one means in practice.
Reliability
Failure is designed for.
In practice: retries, backups and alerts that someone is responsible for reading.
Measure before optimising
We set targets and check them.
In practice: agreed targets for response time, data freshness and model accuracy, tested on your real data.
Security and privacy
Least privilege, by default.
In practice: secrets kept out of code, access limited by role, and personal data handled with the DPDP Act in mind.
Maintainability
The next engineer should be able to change it safely.
In practice: readable code, documented decisions and automated tests, plus a handover so your team can run it.
What we do, and where to see it
Each area of work links to the service page that explains it and to anonymised projects that show it.
| Capability | What it covers | Service page | Example projects |
|---|---|---|---|
| Data engineering and analytics | Python, SQL, ETL, Spark, Hadoop/Hive, data-quality checks, forecasting. | Data Analytics | Analytics and dashboards |
| Dashboards and reporting | Interactive views, scheduled reports, role-based access. | Data Visualization | Demo dashboard (sample data) |
| Applied AI | Retrieval-augmented generation, OCR and document extraction, computer vision. | AI Consulting | Applied AI, document automation |
| Web platforms | Custom web applications, APIs and system integrations. | Custom Software & AI | All projects |
| Cloud | AWS architecture, deployment pipelines, monitoring and backups. | Cloud Hosting | All projects |
What you can check for yourself
We would rather you could verify our claims than take them on trust. Everything below is public.
- Selected projectsDescribed by need, what was built and how, with client names withheld.Read the projects
- A working dashboard demoInteractive, with filters. All figures are sample data and labelled as such.Open the demo
- Technical writingArticles on retrieval-augmented chatbots, dashboards, cloud and computer vision.Read the blog
- Privacy and termsHow personal data is handled, written with the DPDP Act in mind.Privacy policy
How a project runs
The same five stages apply to every engagement. Each service page shows what is specific to that service.
| Stage | What happens |
|---|---|
| Step 1Discover | We start with the problem, the data you already have, and what a good result looks like. |
| Step 2Architect | We pick the simplest design that meets your reliability, security and cost limits, and write the decisions down. |
| Step 3Build | Small, reviewable increments with automated tests, so progress is visible as it happens. |
| Step 4Validate | We test on real data against agreed measures, including how the system behaves when it is wrong. |
| Step 5Operate | Monitoring, documentation and handover, so your team can run and change what we build. |
Have a project in mind?
Tell us what you are trying to fix. We will reply with questions or practical next steps.