Pune, India — early-stage AI studio

AI systems for teams that already have a process.

Automation for workflows that already exist on the floor — not demos, not generic chatbots. Built from production computer vision, workflow automation, and document processing delivery.

Built on production experience

Industrial computer vision platforms Manufacturing workflow systems (.NET / Clean Architecture) Document & RFP automation for European telecom

Plug-and-play AI breaks on real workflows

Most AI tools are built for the workflow in the demo, not the one in your inbox, your spreadsheets, and your team's actual habits.

ERP / MES Spreadsheets Email Documents Legacy tools Databases Capybaraa integration layer reads and writes back into every system above
Full
Coverage of the workflow we're scoped to automate — not just the tool that's easiest to plug in
Generic AI tools

Hovers over your process

✕Trained on someone else's workflow, not yours
✕Breaks on exceptions and edge cases
✕Doesn't touch the tools your team actually uses daily
✕Low adoption because it doesn't fit how work actually happens
~20%of real workflow covered
Capybaraa's approach

Maps the process, then builds

✓Starts with a discovery audit of how work actually moves
✓Built and tested against your real data, not a sample set
✓Integrates into your existing tools, no rip and replace
✓Ships something your team can own and extend
Fullcoverage of the mapped process

We don't sell software.
We automate the part of your process that's actually costing you time.

— engineering-led, not sales-led

Three problems, three systems

Not a service menu — patterns built from production delivery, being packaged for each vertical below.

001
Manufacturing

Order → Approval

Purchase and change orders stall in email threads and spreadsheets before they ever reach the shop floor. This system extracts order data, checks it against specs and stock, and routes it through approval automatically.

Status
In development
Built from
Manufacturing workflow delivery, .NET / Clean Architecture
002
Finance ops

Document → Reconciliation

Reconciling invoices, filings, and ledgers by hand eats a week at every month-end close. Document parsing paired with a reconciliation agent that matches records across systems and flags exceptions for review.

Status
In development
Built from
RFP and document automation delivery for telecom
003
Healthcare

Intake → Escalation

Patient intake and triage messages sit unsorted in WhatsApp and reception queues with no prioritization. An intake agent that captures patient details, flags urgent cases, and escalates to staff automatically.

Status
In development
Built from
Computer vision and applied ML delivery

Value in weeks, not quarters

Most AI transformation projects stall in discovery and requirements. A small, engineering-led team skips the overhead.

Typical vendor rollout

6–12 mo
Discovery & requirements
Data mapping
Workflow design sign-off
Build
Testing
Deployment & change management

Capybaraa

2–6 wk
Discovery audit Data & systems mapping Prototype on real data Review with your team Handover & documentation Production system live in weeks

Four stages, one commitment at a time

You decide whether to continue at every stage — not just at the end.

01

Observe

Map the existing process, data, and failure points. Fixed-scope audit, no build commitment.

02

Prototype

A working system on your real data, delivered within a defined sprint.

03

Deploy

Production rollout integrated into your existing tools — no rip and replace.

04

Instrument

Monitoring, refinement, and documentation so your team can own it.

How we handle your systems and data

You control the environment. We don't ask you to hand over infrastructure to find out if this works.

01

No black boxes

Every system we build is inspectable by your team — no opaque logic you can't reason about.

02

You control the environment

Systems run in your approved infrastructure or cloud. You control access and data boundaries.

03

Scoped discovery first

We audit before we build. You see exactly what's proposed before any commitment.

04

No rip and replace

We integrate into what you already run — ERP, sheets, email, existing tools — not around it.

Common questions

How does pricing work?
Discovery is fixed-scope and quoted upfront. Build pricing depends on the system's complexity and is scoped after discovery, not before.
Do you replace our existing tools?
No. Systems are built to integrate into what you already run — ERP, sheets, email — rather than replace it.
What happens after the build is complete?
You get documentation and a handover so your team can operate and extend the system. Ongoing support is optional, not mandatory.
How is this different from a generic AI agency?
Discovery happens before anything is built, and every system is scoped around your existing process rather than a template.

Have a process worth automating?

Start with a discovery audit — no build commitment until you've seen the plan.

hello@capybaraa.com