Svayantra TechTHE SELF-OPERATING MACHINE
INTELLIGENCE. ON THE FACTORY FLOOR.

YOUR FACTORY.
ITS NEXT CHAPTER.

The machines are already there.
Now connect the decisions between them.

FACTORYOS / SVAYANTRA TECH
01 / 03

FROM MACHINES
TO ONE LIVING SYSTEM.

Scroll to bring the factory into focus.

PRODUCTION CELL 01Factory transformation · a vision
↓ SCROLL TO CONNECT
REAL-TIME 3D
01 / THE REAL BOTTLENECK

THE FACTORY
IS RUNNING.
THE OWNER
IS CHASING.

A client asks for one number.
Five people go looking for it.

The day's plan sits in a spreadsheet. Material requests move through phone calls. The next shift inherits yesterday's gaps.

OwnerGMTeam leadOperator

Every handoff is another place for the truth to disappear. You don't need another dashboard. You need the floor to speak the same language.

Built for owner-operated manufacturing. Starting with sheet metal.
02 / CUSTOM → PRODUCTION → RESULTS

DON'T MAKE YOUR FLOOR
FIT THE SOFTWARE.
BUILD THE SOFTWARE
AROUND YOUR FLOOR.

01 / CUSTOM

Walk the floor.

Start with the real process: the daily plan, the parts, the machines and the people making decisions. Find the handoffs that cost them time.

02 / PRODUCTION

Build where it runs.

Turn the workflow into a system tuned to each role. Operators log work. Team leads plan. Management sees the same production picture.

03 / RESULTS

Give time back.

Judge the system by the chasing it removes and the visibility it gives. Improve it with the people using it, on the floor.

FactoryOS

AI-native operations software, tuned to each factory. No new hardware required for the software workflow.

03 / THE OPERATING LAYER

ONE FLOOR.
CONNECTED SYSTEMS.

Production first. Quality and maintenance alongside it. Different workflows, one factory story.

Production software

BMS

Planning & production

From the daily plan
to a visible floor.

Work records, allocation and machine hours, purchase follow-up, and new-product tracking. Role-specific views for the people running the day.

Inside the workflow +
  • Team leads log work and material needs.
  • Management consolidates records and plans machine time.
  • Purchase teams track supplier calls, ETAs and status.
  • NPD work stays separate from daily production.
Built from a real sheet-metal floor, not a generic template.
Quality module

QMS

Quality workflows

Less repeat work.
More time for quality.

Bring repetitive quality work into the factory's operating system. The aim is to remove the manual effort around parts and product documentation.

~6,000 minEstimated saving per product with 250 parts.
Founder estimate, not a measured deployment result.
What this number means +

This is a workflow-specific estimate. It is not a monthly figure, not a saving promised to every factory, and not counted again as a BMS result. Availability and fit are discussed for your workflow.

Maintenance prototype

SENTINEL

Maintenance intelligence

The fault has a history.
Find it before starting over.

A prototype that connects fault history and OEM manual sections to an engineer's diagnosis, with human approval and a safety check on the proposed steps.

Prototype scope +

The demo uses synthesized incidents, not a customer's factory data. It is a maintenance-intelligence prototype, not a production rollout or an autonomous safety guarantee.

The engineer stays in control.
04 / PROOF, NOT THEATRE

BUILT WITH FACTORIES.
NOT FOR A SLIDE.

2

Active client factory groups

₹500cr

Combined revenue of those client groups.
Not Svayantra's revenue.

Founder-reported figures from October 2026. Client identities are kept private.
PRODUCTION / BMS

One clearer picture.
Less asking around.

~1 hour / day

Estimated GM time saved, as reported by the founder. Actual impact depends on the workflow and adoption.

QUALITY / QMS

Repetition out.
Attention back.

~100 hours / product

The same 6,000-minute estimate for a product with 250 parts. Shown in hours for context, not an additional saving.

See the workflow in a factory demo. Start with the handoffs that slow your team down, and judge the system by the time it gives back.

05 / THE NEXT CHAPTER · VISION

THE FLOOR
GETS A VOICE.
YOU GET
THE WHOLE VIEW.

From connected records to an intelligence layer that helps the right people see, decide and act.

S.I.A

Svayantra Intelligence Assistant

The direction: factory-wide access shaped around each stakeholder, with an assistant that helps identify bottlenecks and, with the right controls, act on decisions.

Future vision, not today's product specification. Hardware integration is a longer-term ambition.
06 / THE PERSON BEHIND THE SYSTEM
Aryan Goud Kovelakonda on a sheet-metal factory floor
Aryan Goud Kovelakonda / Founder

BUILT FROM
FLOOR TIME.

The product starts where the work happens.

Aryan Goud Kovelakonda founded Svayantra Tech to build software around real factory operations. Coding since 11. Building ventures since 16. Working beside the people who run the floor.

6 weeks8-hour days, 4-5 days a week on the factory floor during the build. Founder-reported, October 2026.

Not an off-the-shelf system with a factory label. A system shaped by the work itself.

07 / YOUR FACTORY, NEXT

SHOW US
THE WORKFLOW.
LET'S BUILD
WHAT FITS.

Where does your team lose time?

Start with one workflow. The planning sheet nobody else can read. The part nobody can locate. The update that takes five calls.

founder@svayantra.tech ↗

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