Software and AI that actually gets used.
Harshiv Technologies builds products for small businesses. We design and build software across web, desktop and mobile, and bring data analytics, machine learning, computer vision and agentic AI down to a scale a small team can afford, own and actually run — in products that ship, not demos that stall in a notebook.
- Built for small businesses
- Analytics to agentic AI
- Built & supported in India
“The model is the easy part. Making it useful, safe and shippable is the work.”
How we think about AI
Applied, not academic
Data science scoped to a real decision
Agents that do the job
Tool use, retrieval, multi-agent workflows
We stay after go-live
Monitoring, retraining, support
2019
Engineering products since
40+
Small businesses running on our software
End to End
Discovery, ML, delivery & support
< 24 hrs
Median support response
A team that ships,
then sticks around.
Harshiv Technologies started in 2019 with one observation: most small businesses in India don't fail their software — the software fails them. It is priced for enterprises, built for a different market, and abandoned the moment the sale closes. Since then our work has widened into data pipelines, models and LLM agents. Who it is for has not changed.
We care about the unglamorous 90% that makes AI work in the real world — clean data, honest evaluation, guardrails, latency, cost, and an interface a non-expert can trust. And we keep it to a size and a price a small business can say yes to. Ship small, measure, listen harder.
Our mission
Put production-grade software and AI in the hands of small businesses that were told it was out of reach.
Our vision
A product for every kind of small business that keeps an Indian high street running — each pairing solid engineering with AI that pulls its weight.
What we believe
- Software should pay for itself quickly
- A model in a notebook isn't a product
- Your data is yours — exportable, any time
- Evals and guardrails before launch, not after
From a first idea to software and AI in production
We ship our own products, and we build for clients — mostly small businesses. Same team, same standard: discovery, engineering, data science and the support desk behind it.
Product engineering
We take a product from first idea to something people open every day — discovery, design, engineering, release, and the support desk behind it. Our own products are built this way.
Custom software — web, desktop & mobile
ERPs, admin panels, billing systems, dashboards and internal tools, plus installed desktop apps and native-feel Android and iOS apps under your own brand.
Data analytics & BI
The scattered spreadsheets, tally books and app exports most small businesses run on, turned into a few numbers the owner can decide from — with the definitions written down so they mean the same thing next month.
Data science & machine learning
Deep learning, NLP, computer vision and time-series forecasting — models scoped to a real decision, measured honestly, and wired into the product rather than left in a notebook.
Agentic & multi-agent AI
LLM agents with tool use, retrieval and memory — and multi-agent workflows where planner, worker and reviewer roles hand off to each other, with guardrails and evals around them.
AI engineering, integration & support
Serving, monitoring, retraining and cost control for models in production, plus the integrations, migration and multilingual support that keep everything running after launch.
The difference shows up in production
Anyone can demo a model. Here's what makes it survive contact with real users, real data and a small business's budget.
Enterprise capability, small-business scale
The same analytics, models and agents the large firms run — but scoped to a problem you actually have, on the data you actually have, and small enough to sign off in one meeting rather than one budget cycle.
We ship it, not just prototype it
The notebook that impresses in a demo is the easy 10%. We do the data plumbing, the evals, the guardrails, the latency and cost work — so the model or agent actually reaches production and stays there.
Product thinking around the AI
A model is a component, not a product. We design the workflow, the UI a non-expert can trust, and the fallback for when the model is wrong — because that is what decides whether anyone keeps using it.
No lock-in, on your cloud or ours
Web, desktop, on-prem or cloud — we pick per project based on data, latency and privacy. Your data, models and code stay exportable and yours, any time, without asking us.
Support in your language
Phone, WhatsApp and email support in English, Hindi and Gujarati — from the people who actually built the thing.
Scoped to pay for itself
We aim at what moves your numbers this quarter, not a three-year transformation. If a piece of work can't earn back what it costs a business your size, we'll say so before you spend it.
Four steps from first call to in production
Understand
A walkthrough of how the work happens today and what data already exists — the systems, the spreadsheets, the workarounds. No slides.
Prototype
A working slice on your real data — the app screen, the model, or the agent — so the decision to build is made on evidence, not a pitch.
Harden & ship
Evals, guardrails, monitoring and deployment; data migration and templates set up; your team trained until they can run a full day without us.
Stay
Monitoring, retraining, updates and a support line that stays open — plus a roadmap you get a real say in.
The stack we build on
Let's see if we're a fit
A 20-minute call, a look at your workflow or your data, and an honest answer about whether software, a model, or an agent is the right move — or whether nothing is. No pressure, no sales deck.
Or call us directly at +91 92264 52188