Tacklestudioz

Pune · India

Where the software has to agree with the machines

Pune is the one market we work in where a software project regularly begins on a shop floor and ends at a PLC. Engineering-led buyers, physical constraints, and very little tolerance for a system that cannot be verified.

Working with us from Pune

First deliverable
Proven signal capture, before features
On-site
Commissioning window included in scope
Offline behaviour
Local buffering with idempotent replay
OEM standards
Treated as acceptance criteria
Invoicing
INR with GST

Engineering-led buyers change the conversation

Pune’s industrial base — automotive suppliers, precision engineering, industrial equipment — is unusual in that the person commissioning software is often an engineer. They will ask how the data is captured, what the sampling interval is, and what happens when a sensor drifts. Those are not obstructive questions; they are the right ones, and the project is better for them.

The dominant requirement here is not a new system but reconciliation between existing ones. A machine produces data, an ERP holds the plan, a quality system holds the measurements, and none of them agree. Nobody wants a fourth system. They want the three to tell the same story.

Tier-one and tier-two suppliers add a further constraint: the customer dictates the standard. Traceability requirements, data formats and reporting cadence often arrive from an OEM rather than being chosen, and a system that cannot produce what the customer specified is worthless regardless of how well it works internally.

Equipment age is the other thing that shapes a brief here. A single line will often mix machines separated by twenty years of technology, some with a modern protocol and some with a serial port and a manual. Any honest estimate has to account for the oldest machine in scope, because that is the one that determines the effort.

What we most often build for Pune clients

IoT & Connected Devices

Telemetry off machines never designed to be connected — protocol work, local buffering, idempotent ingestion and operator dashboards answering what is down and what changed. The estimate is built against the oldest machine in scope, since that is what determines the effort, and capture is verified on site during a commissioning window.

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Custom ERP & Internal Platforms

Usually integration rather than replacement: making the machine data, the production plan and the quality record tell the same story, so nobody has to maintain a fourth spreadsheet whose only job is bridging the other three.

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Custom Software Development

Costing engines and traceability layers built to an OEM-specified format, written into the scope as an acceptance criterion rather than interpreted during the build. A recall demands the specific batch and the specific machine, so granularity is set by the customer’s worst case.

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Cloud & DevOps

Ingestion infrastructure sized against your actual reporting interval rather than your device count, which is almost always the binding constraint in industrial telemetry and almost always the thing an estimate gets wrong.

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Sectors we see most in Pune

Automotive suppliers
Traceability and reporting to formats dictated by the OEM rather than chosen internally. A recall demands the specific batch and the specific machine, so the granularity of the record is set by the customer’s worst-case scenario rather than by internal convenience.
Precision engineering
Job costing and quality data tied to specific machines, operators and batches. Margin on a job is usually invisible until it is finished, and the entire point of the system is to make it visible while there is still time to act.
Industrial equipment
Remote monitoring of installed machines at customer sites, with staged firmware updates and automatic rollback. A bad update pushed to an entire installed base at once is the most expensive failure mode in this work.
Engineering services
Project and resource systems for firms billing against milestones rather than seats, where utilisation and unbilled work-in-progress are the two numbers that decide whether the quarter was profitable.

Verify the data before building anything on top of it

The first deliverable on an industrial project is usually not a feature. It is a proof that we can read the required signals off the equipment, at the required interval, reliably enough to build on. Everything downstream is worthless if that is shaky, and it is far cheaper to discover early.

Systems are designed to survive losing connectivity, because on a shop floor that is normal rather than exceptional. Devices buffer locally and replay, ingestion is idempotent so a replay cannot double-count, and clock skew between machines is handled explicitly.

Where an OEM has specified a format or a traceability standard, that specification becomes an acceptance criterion in the scope document rather than something interpreted during build. It is the requirement most likely to be assumed and least likely to be forgiving.

Estimates are built against the oldest equipment in scope, not the newest. A line mixing modern controllers with machines from two decades ago will have its effort determined entirely by the latter, and an estimate that quietly assumes otherwise is one that will be wrong by a factor rather than a margin.

Remote delivery, with the floor visit that actually matters

Almost all of the engineering here happens remotely, and it works because the requirements are unusually concrete — a protocol, a tag list, a tolerance, a report format. Ambiguity is low in a way it never is with a consumer product.

The exception is commissioning. Getting data off a machine reliably is something you verify standing next to it, so we plan an on-site window for that rather than pretending it can be done over a call. Pune is a straightforward trip and the visit is scoped into the engagement rather than being an extra.

Scheduling that window matters more than its length. Production does not stop for a software project, so instrumentation work is planned around a shutdown, a maintenance slot or a shift changeover, agreed weeks in advance with the plant rather than assumed to be available on request.

Overlap
Full working-day overlap
Kickoff lead time
2–4 weeks
Contracting
Invoiced in INR by Tacklestudioz LLP with GST; on-site commissioning window scoped into the engagement.
Cadence
Weekly call, on-site during commissioning

Working with Tackle Studioz from Pune

Can you get data off machines that were never designed to be connected?
This is the usual starting point in Pune. Tackle Studioz proves reliable signal capture at the required interval as the first deliverable, before anything is built on top of it.
Do we need to replace our existing ERP?
Usually not. Most engagements here are integration work making machine data, the production plan and the quality record reconcile, because nobody wants a fourth system to maintain.
What happens when the shop floor network drops?
Devices buffer locally and replay on reconnection, and ingestion is idempotent so replayed messages cannot double-count — on a shop floor, lost connectivity is the normal operating condition rather than an edge case.
Can you meet the traceability format our OEM customer specifies?
Yes, and that specification is written into the scope as an acceptance criterion rather than interpreted during the build, because it is the requirement most likely to be assumed and least likely to be forgiving.
Will instrumentation work interrupt production?
No — on-site work is planned around a shutdown, maintenance slot or shift changeover agreed weeks in advance with the plant, rather than assuming access is available on request.

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