Language: ENDiscuss a SystemDiscuss

Intelligent systems engineering

We build intelligent systems for real operations.

From AI agents and workflow automation to edge and connected systems, Stacx24 engineers reliable systems across people, software, data and the physical world.

Start with the operational problem. You do not need a technical specification.
Four scenes from the Stacx24 product film: approvals on the go, smart operations, data verification and property maintenance.

One-minute silent film with on-screen text: approvals on the go, where a manager asks what needs their attention and approves a service quote from a phone; smart operations, where a rising temperature in a growing chamber starts ventilation automatically; data verification, where an agent checks a provider record against its source and updates the directory; and property maintenance, where a tenant's WhatsApp message about a leaking sink becomes a maintenance request, a plumber's quote and a manager's approval.

IN OPERATION

Intelligent systems to improve your business.

See how we apply AI, automation and connected devices to practical business problems—with people in control of important decisions.

All work

AI + DATA

AI Research & Data Systems

Incoming research material needed consistent classification. An agent proposes labels within a defined scope; the research team reviews them before they enter the record.

A stack of tabbed research folders with a magnifying loupe on top.

AUTOMATION

Operational Automation

Email and re-keying slowed handoffs across three applications. The system connects those handoffs and routes exceptions to named owners. Operating; client identity withheld at their request.

Three cards in a row joined by one green cord, standing for connected handoffs.
WHAT WE ENGINEER

Systems that move from event to action.

An intelligent system is the complete path between an operational event and the correct response: the information it needs, the rules and intelligence that process it, the person who decides where judgement matters, and the action that follows. We engineer the whole path and choose each component to fit it.

  • AI AGENTS
  • PERMISSIONS
  • RULES
  • AUTOMATION
  • APPLICATIONS
  • DATA
  • CLOUD
  • EDGE
  • TELEMETRY
  • SENSORS
  • CONNECTED DEVICES
  • HUMAN DECISIONS
SYSTEMS WE ENGINEER

Three kinds of system.

HOW AN ENGAGEMENT RUNS

We start with the operation.

We don't start with AI.

The operational problem determines the architecture.

Assessment starts with six questions

Your operation
  1. What triggers the operation?

  2. Where does information come from?

  3. Who makes the decision?

  4. Where does work repeat?

  5. Where do delays appear?

  6. What requires human judgement?

One operational problem at a time.

  1. 01 ASSESS

    You bring an operational problem. We map the people, systems, data, decisions, handoffs and measurements around it and find the bottleneck.

  2. 02 PILOT

    One focused system around that bottleneck, with a named owner and an agreed way to measure the outcome.

  3. 03 ENGINEER

    Harden and integrate the system. Permissions, logging, monitoring and escalation are built in, not added later.

  4. 04 OPERATE

    Observe, measure, improve. The system runs as part of the operation, and we keep it accountable to its number.

STAGE ONE

Stage one is an assessment.

Request a Systems Assessment
  • The first conversation is free.
  • No specification is needed to start it.
TEAM

Engineering needs accountable people.

One or two engineers own a system end to end, from assessment to operation. You talk to the person who built it.

Meet the team
  • G. N. Kavin

    Template: Built [feature] for V-Farm to [outcome].

    G. N. Kavin

    Developer

  • Madhan Kumar

    Template: Built [feature] for V-Farm to [outcome].

    Madhan Kumar

    Developer

  • Nandhaprabhu R

    Template: Built [feature] for Comdove to [outcome].

    Nandhaprabhu R

    Developer

  • Gokul

    Gokul

  • Jeganathan

    Jeganathan

  • Raghul Manoharan

    Raghul Manoharan

  • S. Kaviyarasu

    S. Kaviyarasu

  • Sahil Thakur

    Sahil Thakur

  • Soma Pani

    Soma Pani

INSIGHTS

Notes from engineering real systems.

All insights
NEXT STEP

Tell us where the bottleneck is.

There is probably a system inside your operation that should work better than it does today.
We'll help determine what the system should become.
Discuss a System
No technical specification required. Start with the operational problem.
Prefer email? contact@stacx24.com · an engineer replies within two working days.