We build reliable web platforms, scalable data infrastructure, and intelligent systems engineered for long-term growth.
Three areas of work, each with a clear page describing the problems it solves and what you receive.
Custom web applications and internal platforms, built for reliability, clear access control and long-term maintainability.
Pipelines, warehouses and reporting that turn scattered data into numbers a team can trust.
Retrieval, extraction and automation where it genuinely saves time, with accuracy measured on your own data.
Real client engagements, anonymised because of confidentiality. Each one is described by what was needed and what we built.
A multi-panel dashboard on three years of retail data: monthly revenue trends, product-category performance, regional heatmaps and a six-month machine-learning forecast with confidence intervals.
A retrieval-augmented chatbot that finds the relevant passages by vector search and answers from them, citing the source document.
A fine-tuned transformer translation model covering 10+ Indian regional languages, with a domain vocabulary for legal and medical text, evaluated against a baseline on domain corpora.
Three commitments that shape every project.
Our background is in data engineering and applied AI: Python, SQL, ETL, Spark, Hadoop/Hive, AWS, retrieval-augmented generation and OCR.
In practice: the engineers who scope your project are the ones who build it.
We aim for the smallest system that meets your requirements, so you pay for what the problem needs and not for what looks impressive.
In practice: we start with the smallest design that meets your requirements and add to it only when the data justifies it.
We work in short, reviewable increments, so you see working software early and can steer it. A first pilot typically takes around six weeks, depending on scope.
In practice: a pilot runs on a slice of your real data, with a person reviewing its output.
We start with the problem, the data you already have, and what a good result looks like.
We pick the simplest design that meets your reliability, security and cost limits, and write the decisions down.
Small, reviewable increments with automated tests, so progress is visible as it happens.
We test on real data against agreed measures, including how the system behaves when it is wrong.
Monitoring, documentation and handover, so your team can run and change what we build.
Failure is designed for: retries, backups and alerts that someone actually reads.
We measure before optimising and set targets for response time and data freshness.
Least-privilege access, secrets kept out of code, personal data handled with the DPDP Act in mind.
Readable code, documented decisions and tests, so the next engineer can change it safely.
Practical notes on data engineering, analytics and applied AI.
Building a RAG chatbot that actually works in production means solving about 10 problems the tutorials skip — from hybrid retrieval and hallucination guardrails to conversation context and knowing when to skip the LLM entirely. Here's what I learned building one from scratch.
A retrieval-augmented chatbot is mostly a search problem with a language model on the end. Where these projects go wrong: chunking, retrieval quality, permissions, and having no way to tell whether the answers are any good.
Forget the headline-grabbing demos. The changes that are reaching ordinary businesses this year are narrower, cheaper and less glamorous than the coverage suggests. Here is what looks durable, and what to be sceptical about.
IndTech Solutions provides custom web application development, AI software engineering, intelligent cloud hosting, data pipeline development, and enterprise data analytics solutions.
We design and deploy custom AI models, Retrieval-Augmented Generation (RAG) architecture, document automation pipelines, and predictive data analytics tailored for corporate workflows.
Yes, we engineer resilient AWS, GCP, and Azure cloud infrastructure, automated deployment pipelines, database management, and monitoring with alerting.
You can contact our engineering team via our online contact form or email info@indtechsolutions.com to schedule a technical project evaluation.
We build data, analytics and AI solutions across reporting & dashboards, ETL & data pipelines and AI & document automation.