Vimana
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About Vimana

AI that helps businesses operate better, faster, and with less dependency on manual effort.

Vimana Applied Intelligence is being built around a simple belief: businesses do not need AI for the sake of AI. They need AI that improves how they actually work — without disrupting the day-to-day.

The Timing

AI awareness is mainstream. Implementation clarity is not.

$2.5T

Gartner's 2026 forecast for worldwide AI spend. ~$400B specifically for AI services.

88%

McKinsey 2025: organizations using AI in at least one function. Very few have scaled it.

~⅓

Deloitte 2026: organizations using AI to deeply transform their business. The rest are at the surface.

Most businesses are stuck somewhere between “we use ChatGPT” and a real operational rewrite. Vimana exists for the middle.

The gap we fill

Most options don’t fit mid-market reality.

Option .01

Off-the-shelf AI tools

Help individuals become more productive, but rarely solve company-specific workflows.

Option .02

Internal AI teams

Expensive and slow to build — and most mid-sized businesses don't yet know which problem to solve first.

Option .03

Large consulting firms

Bring strategy, but they're enterprise-priced and enterprise-paced.

Option .04

Freelancers & automation vendors

Solve isolated tasks but don't carry a multi-year roadmap.

Operating Principles

A few things we hold ourselves to.

  • .01

    Outcome before tool.

    Every engagement starts by mapping where AI can create measurable business value. The tooling follows the goal, not the other way around.

  • .02

    Augment, don't rebuild.

    The business keeps running. The intelligence layer settles into the gaps.

  • .03

    Software, AI, and hardware under one roof.

    If the data doesn't exist yet, we build the layer that captures it.

  • .04

    AI inside our own factory.

    ~75% of our development workflow is AI-assisted. We use AI to deliver AI.

  • .05

    Ship with an embedded agent.

    Clients never receive static software — every system can keep evolving without us in the loop for every change.

Where we’re going

Service-led today. Productized intelligence factory tomorrow.

Now2025–2026

Open-market learning

Solving real problems for selected clients across industries. Every engagement maps a new piece of the territory.

Next2026–2027

Pattern extraction

Convert deployment patterns into reusable frameworks, agents, dashboards, templates, and industry-specific modules.

After2028+

The intelligence factory

A delivery + intelligence factory: one side builds software faster, the other creates the physical data layer that brings AI closer to real-world operations.

The Team

Engineers and operators who’ve shipped large-scale systems before.

Our background spans full-scale technology systems and ERP-style platforms across agri, retail, ground operations, fintech, and IoT-led use cases. We understand how workflows break, how data moves, and how technology has to be implemented — not just delivered.

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Founder, CEO

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Operations + ERP background. 12+ yrs shipping large-scale systems across agri and retail.

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Founder, CTO

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AI/ML systems, fintech, IoT. Built and scaled engineering teams from 0 → 40.

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Head of Engineering

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Full-stack delivery lead. Owns the AI Software Factory cadence.

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Head of Hardware

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Embedded systems, sensor networks, edge compute for operations-heavy verticals.

Language

How we use a few overused words.

AI
Artificial Intelligence. We use it to mean a working system, not a research demo.
GenAI / LLM
Generative AI / Large Language Models. The reasoning engine underneath most of what we build.
IoT
Internet of Things. Sensors, devices, and physical capture — the layer most AI vendors skip.
Applied Intelligence
AI connected to actual operations, with measurable outputs.
Intelligence Layer
The AI/automation/analytics layer that sits above your existing systems.
Schedule Discovery

Find out where AI could quietly run your operations.

A short call to map your workflows and identify the highest-impact AI opportunities inside your business. No deck, no sales pitch.