About Envisstack

We build AI that has to work on Monday morning.

Envisstack is a forward-deployed AI engineering firm for India’s mid-market and growth companies. We sit with your team, connect AI to the systems you already run, prove it against an agreed metric, and keep it working.

Why we started.

We started Envisstack because of one pattern in how Indian businesses adopt AI. The tools have become remarkably capable. The gap is no longer the model. The gap is everything around it: the messy data, the Tally ledger, the core banking system from 2009, the customer who writes in Hinglish, the compliance team that has to sign off, and the question nobody asked at the start, “how will we know it works?”

Large consultancies can close that gap, but they are built for the largest companies, at the largest budgets, on the longest timelines. Product vendors sell one tool and leave the integration to you. India’s mid-market, the ₹50 crore to ₹2,000 crore companies that run much of the economy, falls between the two.

So we started a firm that does the unglamorous engineering. We go where the work happens, build inside your environment, measure before we ship, and stay after go-live.

Envision + stack.

An AI system is a stack. At the bottom are your systems and your data. Above them sit the model, then the guardrails and the measurement, and at the top, the people who will use it every day.

Most AI projects look at one layer. We see the whole stack: the business problem, the data, the systems, the model and the people. That is what the name means, and it is how we work.

What we believe.

  1. A metric agreed in writing beats a demo

    If we cannot say how it will be judged, we are not ready to build it.

  2. The integration is the product

    An AI that cannot read from your systems and write back to them is a toy.

  3. India is not a localisation task

    Languages, WhatsApp, regulators and legacy systems shape the design from the first day, not at the end.

  4. Sometimes the answer is not AI

    A rule, a report or a better form is often cheaper and more reliable. We will tell you when it is.

  5. Go-live is the middle, not the end

    Models change, products change and customers change. Systems need someone watching them.

The founders

Who we are.

We are a new firm. As we hire engineers, we will introduce them here by name.

Where we fit.

Large consultancy Product vendor Envisstack
Who does the work Large teams, often offshore from you Your team, with the vendor’s support desk Engineers inside your team and your systems
Starting point A strategy programme Their product Your workflow and your data
How success is judged Programme milestones Product adoption A metric and evaluation set agreed in writing
Models Often tied to alliances Their chosen model Model-neutral, chosen on your evaluation scores
Integration with Tally, SAP, core banking Yes, at a price Usually left to you Built in, from the pilot onwards
After go-live A new contract Support tickets A managed retainer that measures quality weekly
First commitment Months and crores An annual licence A 2 to 3 week sprint, fixed price

Work we turn down.

  • AI-washing. We will not relabel ordinary automation as AI to help it win a budget.
  • Unmeasured demos. No “innovation” showcases without a metric and a path to production.
  • Models where rules will do. If a rule, a report or a spreadsheet solves it, that is our recommendation.
  • Anything we cannot evaluate. If we cannot test it against real cases, we will not deploy it.
  • Training on your data. Your data is used for your system only. It never trains a model for anyone else.
  • Borrowed credibility. No invented clients, testimonials or partnerships. When we have real work to show, we will show it with permission.

Mumbai, Maharashtra, India

Indian cloud regions by default

Based in Mumbai. Working across India.

We are based in Mumbai and work on site with clients across India. Our default is to host your system in Indian cloud regions or on your own premises.

hello@envisstack.com

Tell us what is slowing your team down.