ERP for pharmaceutical manufacturers
In pharma the binding constraint is almost never transaction volume. It is evidence: producing, on demand and long after the fact, the complete lineage of a batch to someone who is specifically looking for gaps.
Why the generic answer fails here
Auditability is a data model decision made on day one, not a report added at the end. Immutable records, corrections as new entries rather than edits, permission history rather than only current permission, and lineage through every transformation are structural. Retrofitting them into a system already in production is expensive and in practice usually incomplete.
A pharmaceutical manufacturer has to be able to answer a question that most businesses never face: for this finished batch, which raw material lots, from which suppliers, processed when, by whom, on which equipment, under what conditions, tested with what result, and who approved each step.
Built into the process that question costs almost nothing to answer. Assembled retrospectively it takes days and frequently cannot be completed, which in a recall situation is materially serious rather than merely inconvenient.
We are not regulatory consultants and will not present ourselves as any. Your quality function should define what compliance means for your processes and your markets. What we bring is the engineering discipline to build and document to that specification properly.
What auditability requires structurally
Several properties have to be true of the data model itself, and none of them can be added convincingly afterwards.
Records must be immutable where the regulation requires, with corrections entered as new records carrying a reason and an author rather than as edits that overwrite. A system where a value can be silently changed cannot evidence anything.
Permission history matters as much as current permission. An approval is only meaningful if you can show that the approver was entitled to approve at that moment, which means the system has to retain who held what authority over time rather than only who holds it now.
Lot identity must be assigned at intake and survive every transformation, split and merge, so that lineage in both directions is reconstructable: forward from a raw material lot to every batch it entered, and backward from a finished batch to everything in it.
And every record carries who and when, captured at the time rather than entered later, because a timestamp applied during data entry the following morning evidences nothing.
In practice
Every engagement starts with a conversation, not a proposal template.
Thirty minutes with a senior engineer. You leave with an architecture sketch and an honest cost range, whether or not you hire us.
Quality workflow, and where implementations fail
The quality function generates most of the process complexity in a pharmaceutical system, and it is where implementations most often disappoint.
The usual failure is a system that models the approved process rather than the real one. Deviations, out-of-specification results, reprocessing, rework and investigations are treated as exceptions to be handled outside the system, so the system holds a clean record of a process that did not happen that way and the real record lives in a folder.
Those exceptions are precisely what an inspector will examine. A system that cannot represent a deviation, its investigation and its disposition as first-class objects, linked to the batch they concern, has failed at the thing it most needed to do.
So we design for the exception path first and the happy path second, which is the reverse of how most software is built and the right order here.
Every engagement starts with a conversation, not a proposal template.
Thirty minutes with a senior engineer. You leave with an architecture sketch and an honest cost range, whether or not you hire us.
Included in a erp for pharmaceutical companies engagement
What it costs
Ranges rather than a figure, because the variables below move it more than page count does. We publish these rather than pricing off what a buyer appears able to afford.
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Enquiries now arrive with specifications already attached
Our previous website had a stock photograph and a paragraph about commitment to quality. It brought us nothing in four years. Sayak spent two days on our shop floor before drawing anything, and what they built lists our machine capacities, tolerance ranges and certifications in a way a purchasing officer can actually evaluate. The change was not in the number of enquiries so much as in their quality — people now call having already decided we can do the job, so the conversation starts at commercial terms.
They talked us out of half of what we asked for
We went in with a long list of features we were certain we needed. They built roughly half of it and explained clearly why the rest would be maintained forever and used by nobody. Six months on they were right about every item. The store is fast on phones, which matters because that is where almost all of our traffic comes from, and our team updates the catalogue ourselves without calling anyone.
Parallel running for a full month meant nobody had to trust it blind
Replacing a system a clinic depends on is frightening, and most vendors we spoke to proposed a weekend cutover. Sayak ran the new system alongside our registers for a full month and only switched once the numbers matched every day. Our front desk staff were part of the design rather than being trained at the end, which is why they actually use it. Report preparation that took a person most of a morning now takes minutes.
Common questions
If yours is not here, ask it on the call. We would rather answer a hard question early than discover a mismatch in week six.
We build and document to a validation specification; we do not write it. Your quality function should define what compliance means for your processes and markets, including which records must be immutable and what evidence an inspector expects. We then build to that and produce the documentation. Suppliers claiming regulatory expertise on a first call are usually about to learn it on your project.
Because it lives in the data model. Immutable records, corrections as new entries, permission history rather than only current permission, and lineage through every transformation are structural choices. Adding them later means changing the data model of a system already in production and backfilling history that was never captured, which is expensive and in practice usually incomplete.
As first-class objects linked to the batch they concern, designed before the happy path rather than after. The common implementation failure is a system modelling the approved process while deviations, reprocessing and investigations are handled outside it. Those exceptions are precisely what an inspector examines, so a system that cannot represent them has failed at its main job.
A single site with batch traceability and quality workflow is typically six to twelve months including validation documentation. Multi-site is longer. The variable that moves it most is how settled your process definitions are: implementations overrun when the organisation is still deciding what its own process is during the build.
A single-site manufacturer runs ₹6,00,000 to ₹20,00,000. Multi-site or multi-market with differing requirements is ₹20,00,000 to ₹60,00,000. Group-wide implementations with a formal validation programme start around ₹60,00,000. Validation documentation is scoped separately rather than absorbed and then explained as an overrun.
The underlying services
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A 30-minute call with a senior engineer — not a salesperson. You leave with an architecture sketch and an honest cost range, whether or not you hire us.
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