Company story
SciTech started with working devices for real factories. Each project showed that the hard part of manufacturing information is rarely the device. It is getting the right context to the right people. That is why SciTech is building an intelligence layer on top of manufacturing software and edge hardware.
This is the founder's account. Customer names, dates and figures appear only where they can be documented and approved for publication.
The founding thesis
A signal says that something happened. Orders, materials, people and handoffs say what it meant.
Connecting to real equipment, real processes and existing systems takes as much work as building the device.
AI workflows are only as useful as the operational context behind them, so that context is the foundation SciTech is building.
The engineering journey
Told from the founder's account. Customers are not named, and dates, order sizes and revision numbers are withheld until they are documented and approved.
The founder built five industrial devices for an early client. Building and supporting them taught how equipment, wiring and shop-floor routines shape what a device has to do.
What it taught Those lessons later informed the design of SciTech Edge Mini.
The founder built an MVP for another industrial customer and received an order. The project was later closed after delays and changes on the customer's side, including a change of project owner.
What it taught Industrial projects depend on continuity on both sides, and delivery is more than the first working prototype.
During this period the founder also worked full-time as a software engineer, and kept learning industrial technologies and how to connect to manufacturing equipment.
What it taught Software engineering and equipment integration became one discipline in how SciTech builds.
With seed funding support through a Startup India programme, the founder decided to develop the solution into a more complete product.
The founder developed SciTech Edge Core through several PCB iterations. Repeated demonstrations and roughly eight or nine customer visits led to a commercial order from a separate manufacturing customer. Delivering it took more than electronics and software: system integration and supporting supplies were part of the job.
What it taught A product is finished when it works inside the customer's process.
An initial SciTech Edge Mini iteration was deployed at the same customer. Edge Core and Edge Mini are in use in industrial environments.
During product development the founder worked with interns and consultants. When a PCB design consultant became unavailable partway through the work, the founder took on more of the hardware design and manufacturing coordination directly.
What it taught That brought a first-hand understanding of engineering continuity, manufacturing constraints and the daily problems manufacturers face.
SciTech is now building a semantic layer and preparing its manufacturing execution software, edge hardware and architecture to support AI-assisted workflows. The aim is to help manufacturers organise operational context and make it useful, through AI workflows and future AI-enabled capabilities.
What it taught These capabilities are in development. No autonomous, predictive or quantified-outcome claim is made.
Evidence
Technical write-ups from SciTech's engineering work are published as R&D notes.
Read the R&D notesThe people building SciTech.
Meet the teamA demonstration shows how the platform and edge devices behave in a workflow.
Request a demoShared only with the customer's permission. None is published on this page yet.
Customer names, order sizes and dates are withheld until they are documented and approved for publication.
What experience changed
Connecting to real equipment, signals and existing systems, not only building devices.
Several hardware revisions as the product matured.
Demonstrations, customer visits, supplies and integration: the work around the product.
Engineering continuity, supply and manufacturing constraints, learned first-hand.
Starting from how a team actually works, then fitting technology to it.
Where SciTech is going
Operational software and edge hardware are in use today. SciTech is building the manufacturing context and semantic layer that AI workflows need, so that manufacturers can organise what they know about their operations and put it to work.
Help teams understand what is happening on the floor and what to do next.
Relates machine events, orders, materials and people so a record is read in its operating context.
Manufacturing execution and traceability capabilities that follow each site's workflow.
SciTech Edge Core and Edge Mini capture machine-side signals and operator input.
Maturity labels describe SciTech's own status. No claim of autonomous operations, predictive performance, quantified return or production-grade AI is made.
Next step
Tell us about the process you want to understand or improve. We will discuss how the platform and the right edge configuration could fit.