Sovorix

Every signal in your plant, watched and understood.

Sovorix sits on top of the data your plant already produces: sensors, cameras, historians and engineering models. It watches everything, explains what it sees and suggests what to do next. Your team decides. Your data stays in your plant.

Book a pilot
A calm grey model of a dairy line: reception tank, pasteuriser, filler and packing. Milk flows along the pipes. The filler briefly shows a cyan ring with the note “Seal watch: slow drift on Line 2”, then returns to calm.
Simulated data

Your plant produces millions of readings a day. Almost nobody reads them.

  • Alarms speak up late.

    By the time a limit is crossed, the problem started hours ago.

  • The answers live in people.

    Why a line behaves the way it does sits in a senior engineer's head, a manual and old work orders. Never in one place.

  • Most AI wants your data to leave.

    Sending plant data to someone else's cloud is a risk many plants won't take, and shouldn't have to.

Two layers on top of what you already run.

Sovorix doesn't replace your systems. It sits on top of them and does the reading nobody has time for.

A stack of four layers inside a line marked "Inside your plant". At the bottom, your plant's data: sensors and historians, cameras, engineering models and maintenance records. Above it, the monitoring layer that watches everything. Above that, the intelligence layer that explains what it sees. At the top, your team, who decide.

  1. Your team

    Decides. Every suggestion comes with its evidence, and nothing changes without a named person's approval.

  2. Intelligence layer

    Understands what it sees and explains it. It connects each warning to the machine, the part, the process and the plant's history, then says in plain words what's happening and what to do.

  3. Monitoring layer

    Watches everything, all the time. AI agents learn what normal looks like for each machine and notice drift before an alarm limit is crossed.

  4. Your plant's data

    • Sensors and historians.
    • Cameras.
    • Engineering models.
    • Maintenance records.

One night shift, told by the data.

Illustrative scenario with simulated data.

Line 2 fills milk pouches. Meera is supervising the night shift. Arjun leads maintenance on the morning shift.

  1. Step 1 of 10,

    3:40 AM. Line 2. Everything looks normal.

    The plant overview is grey and quiet. Thousands of signals, all inside their limits.

  2. Step 2 of 10,

    Thousands of signals. No alarms.

    From the whole plant down to Line 2, then the filler, then the sealing jaw that closes each pouch.

  3. Step 3 of 10,

    Sovorix notices a slow drift no alarm would catch.

    The Seal watch agent sees the jaw temperature easing down over 40 minutes. It's still above the alarm limit, so no alarm would fire.

  4. Step 4 of 10,

    The camera sees it too: faint wrinkles in the seals.

    The seal-inspection camera has caught three wrinkled seals in the last 1,000 pouches. Sovorix lines the frames up with the same minutes as the drift.

  5. Step 5 of 10,

    The heater is working hard. The heat isn't arriving.

    The heater is drawing 95% power, but the jaw is cooler than the physics says it should be. Heat isn't reaching the jaw.

  6. Step 6 of 10,

    It remembers: the same pattern stopped Line 1 in March.

    The filler's page shows the heater cartridge was replaced 11 weeks ago. The same pattern on Line 1 in March ended in a 3-hour stop, and the manual's section on cartridge contact is linked.

  7. Step 7 of 10,

    Ask in plain words. Get the chart.

    Meera types a question and the chart builds in front of her. Rejects climbed only tonight, as the jaw ran cool.

  8. Step 8 of 10,

    Sovorix suggests. Meera decides.

    Sovorix suggests holding the line at 96% speed until the planned 7:00 AM window, then replacing the cartridge. Meera approves on her phone, the operator makes the change, and a work order is drafted for Arjun.

  9. Step 9 of 10,

    Every decision gets a receipt anyone can check.

    The receipt records what was suggested, the evidence, who approved it and when. The check confirms nothing has been changed since.

  10. Step 10 of 10,

    Morning. One issue caught early. No unplanned stop.

    The morning brief is waiting for the plant head. The cartridge was replaced in the planned window, and Arjun's fix took 20 minutes.

What your team can do with Sovorix

Ask in plain words. Get the chart.

Type a question the way you'd ask a colleague. Sovorix finds the right signals, builds the chart and tells you what it shows, based only on your plant's own data.

Seal temperature vs rejected pouches, last 7 nights
0123WedFriSunLast nightRejects per 1,000148150152°C

Rejects stayed near normal for six nights. Last night they rose as the jaw temperature drifted down, and fell back after the line speed was held.

Simulated data

A page for every machine

Every machine, part and line gets a living page: live readings, open issues, history, documents and how it connects to everything else. It's the plant's memory, in one place.

Filler F2Sealing jawHeater cartridgeCamera 3Manual 7.4Line 1 incident in March

Simulated data

  • Agents that watch, around the clock. Give each part of your plant its own AI watcher with one job: seals, cleaning cycles, energy, quality.
  • Alerts that explain themselves. Every alert says what changed, why it matters and what to check.
  • Sees what sensors can't. Links what your cameras see to what your process is doing, minute by minute.
  • Knows the physics. Checks readings against how your process should behave, so it can tell a real problem from a noisy sensor.
  • Nothing changes without a yes. Every action needs a named person's approval.
  • A receipt for every decision. What was suggested, the evidence, who approved it and when.
  • Shift briefs, written for you. Every shift ends with a clear summary of what happened, what was caught and what's pending.

See everything Sovorix does

Works with the systems you already have.

No rip-and-replace. No new sensors needed to start.

AVEVA PI
Supported
Ignition
Supported
AVEVA Historian (Wonderware)
Supported
OPC UA
Supported
MQTT
Supported
Industrial cameras
Supported
Maintenance systems (CMMS)
Supported

Product names are trademarks of their respective owners.

Your plant. Your data. Your decision.

  • Runs inside your plant.On your own servers, even with no internet connection. Your data never leaves.

  • Reads, doesn't write.In a first deployment, Sovorix never touches your controls.

  • Nothing changes without a yes.Every action needs a named person's approval.

  • A receipt for every decision.What was suggested, the evidence, who approved it and when, recorded so it can't be quietly changed.

Receipt R-2041

Suggested
Hold Line 2 at 96% speed. Replace heater cartridge at 7:00 AM.
Evidence
Jaw temperature drift, 3 camera detections, Physics check, Line 1 incident (March)
Approved by
Meera, shift supervisor
Approved at
3:47 AM
Applied by
Line 2 operator
Applied at
3:48 AM
Sealed at
3:48 AM

The check runs in your browser. Nothing is sent anywhere.

You don't have to trust us. You can check us.

How security works

Where to start

This is our pilot

Cleaning cycles (CIP)

Cleaning cycles are set for the worst case, so most run longer than they need to. Sovorix watches every cycle and shows where time, water and chemicals could be saved, for your quality team to confirm.

We agree the number, and how we'll measure it, before we start.

  • Quality

    Connect defects to what the process was doing when they happened.

  • Reliability

    Catch wear early and fix it in a planned window, not a breakdown.

  • Energy

    See where energy goes, machine by machine, shift by shift.

Start with one line and one number.

  1. Step 1: Weeks 1–2

    Connect and learn.

    Sovorix connects to one line and learns what normal looks like.

  2. Step 2: Weeks 3–8

    Watch and suggest.

    Sovorix flags issues and suggests changes. Your team approves or rejects each one.

  3. Step 3: Weeks 9–12

    Measure together.

    We compare against the baseline, using the method we agreed on day one.

We agree on the number, and how we'll measure it, before we start.

Opens an email to Udayan, our co-founder.udayan.pawar@artpark.in

Who's building Sovorix

UP

Udayan Pawar

Co-founder and CEO

Four years building AI and cloud systems, leading a team of fourteen developers, and advising the Indian Air Force on EKLAVYA, an AI flight instructor for pilot training.

About the company

Pick a line. We'll show you what its data has been saying.

Book a pilot
Opens an email to Udayan, our co-founder.udayan.pawar@artpark.in

Illustrative scenario with simulated data.