What kind of AI does your business actually need?
Three ways in: automations · analytics · apps. One system out.
Finzarc is an AI and data-engineering studio that builds three things (AI automation, analytics and applications) and ships the first to production in about three weeks. Automations feed analytics, and analytics deserve an app. Every engagement climbs the same ladder, so start anywhere.
What can AI agents and agentic automation do?Agents that do the work.
AI automation and agentic workflows that run the manual layer for you: reconciliation agents that took GRN from a 3-month cycle to daily, reporting, and data shuffled between tools that don't talk. The busywork dies first. Every agent action is audited, logged and reversible, built on real data-pipeline health monitoring in production, not brittle macros.
Analytics vs business intelligence: which do I need?Answers with numbers attached.
Predictive analytics for demand and inventory planning and business intelligence on live data, not last month's export: forecasting, revenue-maximisation and scenario simulation (+27% revenue, margin 30%→38%), anomaly alerts, exec dashboards. Decisions stop being debates; the number is on the screen, from one governed, talk-to-your-data layer.
Can you build a custom AI app or MVP?Software your team logs into.
Custom software, GenAI apps and LLM copilots your team actually opens (internal tools, customer portals, MVPs), not a dashboard graveyard. Everything lands in one product with one login: an organisation-wide GPT built module by module, or a GenAI app shipped idea-to-launch in 21 days.
Where should I start with AI?Start anywhere. It compounds.
Most clients arrive with one painful workflow. Finzarc automates it, the automation feeds a forecast, the forecast earns an app, and about twelve weeks later it's a system, not a slide deck. Working software > promises of future: the people you meet are the people who build.
| A consultancy | Finzarc, an AI & data studio |
|---|---|
| Leaves a deck and a roadmap | Leaves working software your team logs into |
| Rents you hands, month by month | Founders build and sell the same week |
| Pilots die in staging over quarters | First version in production in ~3 weeks |
Do these AI systems scale across the business?Solved once, repeatable for you.
Each capability links to the build that proves it. Some builds serve more than one function.
Prices that set themselves and hold the margin.
The marketing-ops layer, running on its own.
What happens in the field, captured and verified.
One number the whole company trusts, current to the day.
Ask the business a question, read the answer on screen.
How do I scope an AI project?Tell us where it hurts.
30 minutes with the founding team: bring the problem, leave with a concrete scope and the number it should move.
Piyush Kumar & Abhinav Tripathi FOUNDERS · THE PEOPLE WHO BUILD IT, ON YOUR CALL Finzarc is an India-based AI and data-engineering studio that ships production automation, analytics and custom applications for enterprises, from Fortune 500 consumer-goods companies to 121-year-old manufacturers. The work spans AI agents and agentic automation, data engineering and pipelines, predictive analytics and business intelligence, LLMs and GenAI apps in production, custom MVPs, pricing and revenue-maximisation systems, supply-chain control towers, and computer-vision field-capture apps. We know why most data platforms fail to deliver business value, and where AI actually improves revenue in retail and FMCG. First delivery in about three weeks: the founders build and sell, so the people you meet are the people who ship the code.
Engagements are quoted in USD and scoped to a fixed first version on the call: a real number, not an open-ended hourly bill. This is the shape most US and Singapore teams land in. India is our edge, not a discount: senior engineers on your build, at a fraction of a comparable onshore team's overhead.
One automation, analytics layer or MVP, shipped in about three weeks to prove value fast.
Automation + analytics + application, integrated and running in production, priced by complexity.
Multiple models, deep integration across core systems, and security and compliance at scale.
You own the code, models and data outright. See the full AI development cost breakdown for US & Singapore companies, or get a scoped quote in 30 minutes.
Questions teams ask before they scope a build
What does Finzarc build: automation, analytics, or applications?
All three, as one system. Finzarc builds AI automation (agents that run reconciliation, reporting and data pipelines), analytics and business intelligence (forecasting, revenue simulation, live dashboards), and custom software (internal tools, GenAI apps and MVPs). Most clients start with one painful workflow, and it compounds into a system.
Which of the three do I need first?
Start where it hurts most. If the pain is manual busywork, begin with an automation. If decisions run on stale data, begin with analytics. If people have nowhere to log in, begin with an app. Each rung feeds the next, and you don't buy the whole ladder on day one.
How fast can Finzarc ship an AI system?
First production delivery in about three weeks, not quarters. Hi Langee went from idea to launch in 21 days, and the first module of an organisation-wide GPT was live in two weeks. Finzarc ships weekly and instruments the number it should move.
AI agents vs automation: what's the difference?
Automation runs a fixed sequence you defined; an AI agent decides the next step toward a goal and chains actions across tools. Finzarc builds both, and keeps every agent action audited, logged and reversible, so autonomy never means loss of control.
What is agentic AI?
Agentic AI is software that pursues a goal by deciding its own next steps (choosing tools, chaining actions and adapting to what it finds) instead of following one fixed script. In practice it sits on a dial from a single tool-using agent to a coordinated system of them. Finzarc builds agentic automation where it earns its cost, and keeps every action audited, logged and reversible so a business can trust it in production.
Do you build custom software, or only advise?
We build. Finzarc is an AI and data-engineering studio, not a slide factory: working software > promises of future. Founders Piyush Kumar and Abhinav Tripathi build and sell, so the people you meet on the call are the people who ship the code.
Who does Finzarc build for?
Enterprises, from Fortune 500 consumer-goods companies to 121-year-old manufacturers, across FMCG, manufacturing, industrial & energy, marketing & e-commerce, pool & wellness, and education & research. India-based, shipping for teams everywhere.
How much does a custom AI automation or app cost?
Engagements are quoted in USD and scoped to a fixed first version on the call, so you get a real number, not an open-ended hourly bill. As a shape: a first focused build (one automation, analytics layer or MVP) runs about $25k to $50k; a production system spanning automation, analytics and an application is roughly $75k to $150k depending on complexity; enterprise platforms start at $150k+. First delivery is about three weeks, so you see working software long before any larger commitment, and you own the code outright.
Do you integrate with our existing ERP, CRM and data stack?
Yes. Finzarc builds on top of the systems you already run (ERP, CRM, data warehouses, spreadsheets and internal tools), and the data engineering is the point, not an afterthought. We wire scattered sources into one live layer, which is exactly how a 3-month reconciliation cycle became a daily run.
Do you build a proof of concept or pilot before a full AI project?
Not a throwaway pilot, but a working first version. Instead of a proof-of-concept that stalls in staging, Finzarc ships a real, production-grade first build in about three weeks that you can judge (and stop after) before any larger commitment. You get the de-risking of a pilot without the demo-that-never-ships graveyard: working software over promises of future.
Who owns the code and data Finzarc builds?
You do. Finzarc builds custom software you own outright (code, models and data) running in your environment with full handover and no proprietary-platform lock-in. Every agent action is logged and reversible, so autonomy never means losing control of your systems.