For food, pharma & furniture manufacturers

We understand your floor before we write a line of code.

Most software is built first and forced onto your process second. EmpiFlow does the reverse — we learn how your plant truly runs, what your KPIs really measure, and where your planners actually make the hard calls. Then we build the digital system that fits.

Let the empirical data guide your decision flow.

Empi→Flow

From spreadsheet guesswork to answers you can trust

Get the empirical data right, and the operational flow follows. Cause, then effect.

Before

Empi · your data

Scattered spreadsheets and tangled handoffs. No one's quite sure which number is right.

Flow · your results

KPIs in the red, answers that take days.

After

Empi · your data

One organised, structured source of truth — captured the way your process actually works.

Flow · your results

KPIs trending up, answers in seconds.

Understanding first. Software second.

We don't sell software. We study how your plant actually runs.

Before we propose anything, we interview the people who run the system, review the data you already keep, and map the real decisions — where the bottleneck moves and how work-in-progress gets prioritised. Then we design the system around it.

See how we work

What EmpiFlow builds

A digital system is only as good as its understanding of the real one. What we build depends entirely on where your pain is — from a single form to a full ERP.

📝

A single logging form

Sometimes one good form is the whole solution — capture process details straight into a spreadsheet, your server, or your ERP.

  • Built around one real task
  • No new system to learn
  • Feeds your existing records
💬

Chat-based logging & alerts

Log data or receive alarms through WhatsApp or Telegram — no app to install, no training overhead.

  • WhatsApp / Telegram
  • Scheduled notifications
  • Alarm scripts
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Machine & environment logging

Continuous capture from critical equipment — like chiller-room temperature flowing straight into your records.

  • Workstation data capture
  • Cold-chain monitoring
  • Standalone or into ERP
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Dashboards & monitoring

From a simple pivot chart to integrated Metabase, Grafana, or Tableau — with alarms when something drifts.

  • Live reporting
  • KPI visualisation
  • Drift alarms
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A complete ERP suite

Built on ERPNext v15, with your manufacturing process at the centre — and full access to the code.

  • ERPNext v15 (Frappe)
  • Production-first
  • No vendor lock-in
🤖

AI chat over your own data

Ask questions of your production database in plain language, inside a defined, trustworthy scope.

  • Plain-language queries
  • Linked to your database
  • Bounded & reliable

We specialise in non-discrete manufacturing — food, pharmaceutical, and furniture/assembly plants where inputs and outputs don't map one-to-one. That's the hard case most generic systems get wrong, and the case we know best.

Understanding first. Software second.

We do the work most vendors skip — so the system answers your questions, not a textbook's.

🏭

We've been on the floor

We know the pain of a plant stuck between paper-and-spreadsheets and full automation — because we've worked there.

🧩

We respect the nuance

Similar on the surface, unique underneath. Your operating rules and exceptions drive the design — not a template.

📐

We build from evidence

Solutions come from your empirical data and real KPIs — not from a feature list someone wanted to sell you.

"At the macro level, every plant looks the same. It's at the micro level — the small rules and exceptions of your operation — that each one becomes unique. Technology has to be built from that reality."

Ask your production data anything

From "I think October went okay" to "October was 8 of 10 — here's why."

Today, that question means days of digging through paper and spreadsheets. After digitalization, the answers — and the follow-ups — come back in seconds.

Looking back

  • "October: 8 of 10 jobs met their deadline."
  • "How does that compare to last October?"
  • "List the work orders on the two late jobs — with their historical average durations."
  • "Score those jobs by cost-per-unit instead of by deadline."

Looking forward

"If the planner had minimised setup time on the bottleneck instead of batching by lead time, would October have been 10 of 10?"

Answering what happened is where we start. Predictive "what-if" modelling is only worth attempting once a process is genuinely, fully digitized — and we'll tell you plainly whether yours is ready. We won't sell prediction on top of a half-digitized process.

Every project starts with understanding your plant

We scope each engagement after we understand your real process — so the quote fits the problem, not a price list. Tell us what's slowing you down.

Talk to us about your plant