Vimana
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What we do

A practical partner across software, AI, automation, and where needed — hardware.

Most AI companies operate at the software layer alone. Vimana operates wherever the business operates — including the field, the shop floor, and the warehouse.

01Intelligence Layer02Digital Layer03Physical LayerFAI Software FactoryAEmbedded AgentLCompounding Loop
L01Layer 01

The Intelligence Layer.

AI agents, automation, LLMs, analytics, and decision support — built into your existing operations. Repetitive work, decision-making, reporting, internal knowledge systems, customer support, sales intelligence, operations visibility, workflow automation, and new AI-enabled products.

What we ship
  • .01Custom AI agents that execute end-to-end workflows
  • .02LLM-based interfaces, copilots, and conversational layers
  • .03Automation chains across your existing tools
  • .04Decision-support dashboards built on top of your data
  • .05Internal knowledge systems that surface what your team already knows
The thinking layer
Reads. Decides. Acts.

Agents that watch the systems your business already runs, reason against the data those systems produce, and write back outcomes — without manual orchestration.

Reasoning
Multi-step plans across tools
Memory
Persistent context per workflow
Action
Writes to ERP, CRM, comms
Oversight
Audit trail, escalation gates
L02Layer 02

The Digital Layer.

Where workflows, ERPs, CRMs, reports, and dashboards live. We integrate, extend, and orchestrate — we don't force a migration. Your team continues to work in the systems they already know.

We dock into what you already run
SAP
Oracle
Microsoft Dynamics
NetSuite
Salesforce
Zoho
HubSpot
Odoo
Postgres
Snowflake
Power BI
Tableau

…and any other system with an API, an export, or a queryable database.

What we ship
  • .01ERP / CRM extensions and custom modules
  • .02Workflow and approval orchestration across systems
  • .03Reporting and dashboard layers on top of existing data
  • .04Integration plumbing between siloed tools
L03Layer 03

The Physical Layer — where most AI vendors stop.

In operations-heavy businesses, the bigger problem is often not that data isn't being analyzed — it's that the right data isn't being captured in the first place. Where required, we design custom hardware and data-capture systems suited to the client's operating environment.

Hardware Readiness: bridging the Virtual and Physical Waves
.01

Custom hardware design

Bespoke device design and prototyping — built for the operating environment, not a catalog SKU.

.02

IoT sensor networks

End-to-end sensor deployment with on-prem and cloud data pipelines.

.03

Computer vision capture

Camera networks for QA, safety, throughput — running at the edge.

.04

Field-event capture

Movement, temperature, asset usage, machine activity, environmental monitoring, anomaly detection.

Where this matters
Shop floors. Warehouses. Cold chains. Fleet routes. Retail back-of-house. Farm plots. — any place the data isn’t being typed into a screen.
FHow we build

The AI-Assisted Software Factory.

Today, ~75% of our development workflow is AI-assisted, giving us roughly 4× productivity per technical resource in live execution. We're extending that across the full delivery lifecycle.

75%
of current development workflow is AI-assisted
4×
increase in productivity per technical resource
Months → Weeks
compressed delivery timelines
The full-lifecycle engine
01
Requirement Gathering
Hybrid
02
Product Design
AI-led
03
Documentation
AI-assisted
04
Coding
AI-led
05
Testing
AI-led
06
Deployment
AI-assisted
07
Delivery
Hybrid
08
Implementation
Hybrid

Every stage is being progressively AI-augmented. The factory gets faster with every delivery.

AWhat you get post-delivery

Every system ships with its own configuration agent.

Clients never receive static software. Every custom build leaves behind an embedded AI agent that lets the client's team self-generate reports, dashboards, new form fields, and small workflow changes — without coming back to us for every adjustment. Larger system changes still flow through us; everything else is client-led.

Client-side extensibility via the Embedded Configuration Agent
Traditional handoff

Static software box.

Every change order goes through the vendor. New reports, fields, tweaks — all back in the queue. Months of friction for what should take an afternoon.

The Embedded Agent

Production-grade orchestration. Client-led execution.

A coding-and-configuration agent ships natively inside the delivered software. Your team self-generates new reports, dashboards, form fields and micro-workflows — no new contract for every small change.

+

Custom Reports

New report templates with the data the team needs, generated on the fly.

+

New Dashboards

Live operational dashboards spun up in minutes, not sprints.

+

Form Fields

Edit forms, add fields, change validation — without touching code.

+

Micro-Workflows

Small automation chains and approval routes the team configures themselves.

LThe flywheel

Every delivery makes the next one faster.

Months 1–6 are open-market learning. Month 7 onward narrows to the sectors with the strongest combination of urgency, adaptability, ROI, and repeatability.

Months 1–6 · Open market learning→Month 7+ · Targeted industry scale
1234THE COMPOUNDINGEXECUTION LOOP
1

Client Delivery

Custom AI transformation projects.

2

Embedded Agent Ecosystem

Recurring SaaS, usage pricing, client stickiness.

3

Richer Internal Frameworks

Reusable modules, templates, patterns.

4

Accelerated Future Systems

The factory gets faster with every deployment.

Schedule Discovery

Find out where AI could quietly run your operations.

A short call to map your workflows and identify the right layer to start on. No deck, no sales pitch.