We build the production, scheduling, quality, and inventory system your floor actually needs — not a generic MES with your logo on it. Live in 2–3 weeks.
Every factory runs differently. Different machines, different shifts, different bottlenecks. That's why generic SaaS keeps failing on production floors — it bends your workflow to fit the tool.
Pranavex flips that. We sit down with you, study your operation, and design a custom production management system built only for you. From scheduling logic to quality checks, every screen matches how you actually work.
One click and the savings calculator, case study, and module preview re-tune to your industry. Live — no reload.
Move the sliders. Every number below shows its formula. Mechanism breakdown is in the box underneath — read it before you trust the total.
Three savings lines, three honest mechanisms. If any of these don't match your floor, the calculator is wrong for your shop — say so on the call.
Most unplanned downtime isn't the machine failing — it's the machine sitting idle after something failed, while a supervisor figures out what the next job is, where the right tool went, or who's still on break. A live work-order + machine-status board collapses that "what's next?" gap from 20+ minutes to under a minute.
Why 40%, not 70%: The McKinsey 2023 manufacturing digitization report cites 30–50% reductions across deployed MES systems. We use the middle. The other 60% of your downtime — real machine failures, preventive maintenance, shift changes — is on you and your maintenance schedule, not on software.
Operators catch defects in real time instead of at the end of the lot. SPC charts flag drift before the next 200 parts go bad. Lot-level traceability means when a defect does escape, you know exactly which raw-material batch and which machine produced it — so you scrap 12 parts, not 800.
Why 35%, not 80%: A 2022 Industry Week scrap-reduction survey of mid-size manufacturers reports 25–55% reductions after deploying real-time QC. We use 35%. Some of your scrap is from operator error or bad raw material upstream — software can't fix those.
This one's not from a benchmark — it's from watching supervisors work. The average supervisor on a 10-machine floor spends 2–3 hours/day on: updating the whiteboard, calling operators for status, hunting for the right setup sheet, copying numbers into Excel, "where's the next job?" conversations. That's roughly 15 min per machine per day.
Why 15 min, not 30: Half of that admin time stays. You still need supervisors looking at the floor. The other half — the data-entry and chase-down work — goes away when the system is the source of truth.
A real system running on a real floor — 11 modules, live tooling and machine status, daily plant overview. Client name, layout and data anonymised. The shape is real, the numbers are not.
A fixed, transparent path. No phase-2 surprises.
A starting toolkit we shape around the way your factory actually runs.
Plan shifts, machines and jobs against real capacity. Drag, drop, react to delays.
Issue, track and close orders on the floor — operators see only what matters to them.
Inline checks, scrap logging, traceability. Built around your standards, not a template.
Live stock, raw material flow, reorder logic. Tied directly to your production orders.
We built it to match how a real shop actually runs — not how software thinks it should run.
Something that keeps production, quality, and inventory in sync without people chasing updates or fixing the same problems over and over.
It's built so you can walk the floor, see what's going on, and actually trust the information you're looking at.
We use AI the way good shops use CNC — to do precise work faster, not to skip the work. Here's exactly what that means for your build.
Claude, Cursor, GitHub Copilot — they sit alongside us while we build, the same way a good draftsman uses CAD instead of a pencil. Boilerplate code, type-checks, doc-strings, integration scaffolds: AI handles them in seconds. The architecture decisions, the floor logic, the calls about your CNC vs your press cell — those stay with the engineer.
A 2018 build took 6 months and a team of 4. The same build today takes 3 weeks with 1 engineer + the right tooling. We pass that compression directly to you — that's how a $24k–$60k price tag is even possible for code you'll own forever. It's not corner-cutting. It's leverage.
An LLM has never walked a shop floor, watched a mold changeover, or heard a supervisor explain why job 4471 needs to go before 4470 today. That context lives in our heads after the discovery call — and it's what ends up in your system. AI accelerates the typing. The thinking is still ours.
No drawn-out enterprise rollouts. We scope tight, build fast, and ship a working system your floor uses on day one.
Your machines, your shift patterns, your part numbering. The system speaks your floor's language by go-live. No 6-month "configuration project" first.
You own the system. One clear price for what you actually need. No seat counts. No surprise renewals.
No surprise change orders. Typical builds land at ~$32k.Final price scoped to your modules and integrations on the discovery call.
If the Day-14 pilot doesn't run on your floor as scoped, you walk — and we refund every dollar paid up to that milestone. No legalese. No friction.
Tell us a bit about your operation. We'll come back with a custom walkthrough — usually within a day.