Industrial IoT, delivered

Not just another IIoT platform. MITE changes the game.

From raw telemetry to governed execution: connect assets, describe logic, and let MITE run operational processes. Every action becomes data — feeding the next decision, rule, and improvement.

From pilot to production — ready for real deployments
Declarative logic — describe what should happen, not how to code it
Any process complexity • any industrial reality • fast iterations
“Simple, clear, and reliable — exactly what industrial teams expect.”
MITE IIoT platform

Industrial IoT platform for manufacturing, utilities, logistics, smart infrastructure, gateways, sensors, PLC integration, workflows, dashboards, and operational analytics.

Positioning

One system you control — from data to execution

MITE turns operational data into one manageable system — not a collection of disconnected signals, dashboards, and manual follow-up. We work with your real environment: devices, gateways, PLCs, services, and external systems. Incoming events are parsed into a clean structure and stored in a consistent data model. On top of that model, you can build as much logic as needed: rules, workflows, approvals, escalations, and KPIs. You define what should happen — MITE handles how it runs. Dashboards show real execution and outcomes. Processes can be adapted in hours or days — without waiting on a development backlog.

A clean data sandbox — your reality, structured
All signals become one ordered operational model (tables + context), so you stop dealing with fragmented integrations and inconsistent formats. You work with one structured foundation for logic, execution, and analysis.
Logic grows with operations — not with code debt
Processes are defined declaratively: conditions, routes, approvals, escalations, and KPIs. Add new behavior fast — without rewriting systems — with any number of parallel mechanisms, flows, and decision models. There is no forced “single workflow” approach. Logic evolves with the business.
Execution is governed — patterns are analyzed and visualized
MITE tracks what happened, when, and why — across processes and logic layers. Execution data is continuously analyzed: patterns, deviations, bottlenecks, and recurring behaviors are surfaced and visualized instead of being buried in logs and spreadsheets. Responsibility, cause, and impact stay visible.
Change is constant — processes must adapt without disruption
Business conditions change constantly: rules shift, priorities move, constraints evolve. With MITE, logic and processes can be adapted in hours or days, while operations continue running and producing data for the next iteration.
Platform

Built for fast change — and serious scale

You describe logic as rules and processes. The platform executes them consistently — at scale.

Any process complexity — without code. And it actually runs

Model processes as logic: conditions, routes, approvals, escalations, and KPIs. Describe what must happen — MITE takes care of execution, consistency, and traceability. Complexity can grow without turning into custom-code chaos.

Without IT team • faster iterations • clearer ownership

Predictable scaling — even when complexity grows

The same operational model and reusable building blocks support many scenarios across sites, teams, and deployment stages. You scale outcomes, not technical overhead.

Scale outcomes, not technical debt

Future-ready by design: open, flexible, AI-readable

Transparent logic and structured data make the system easier to evolve, explain, and extend. You avoid lock-in to brittle legacy stacks and keep the platform adaptable to modern tooling and AI-assisted workflows.

Built for tomorrow’s operations
Connectivity & Integration

Works with real industrial environments

REST API Webhooks MQTT LoRaWAN Modbus OPC UA On-prem / cloud / hybrid Role-based access

There is no single “right” protocol stack in the real world. Devices, networks, and constraints differ by site — so MITE adapts the integration layer to your environment instead of forcing architectural compromises.

Why this matters in practice

When a customer needs a new mechanism, we usually generalize it at platform level instead of building a one-off feature. That is why improvements can arrive in hours or days — and why the platform gets stronger with every real deployment.

MITE Platform Highlights

An execution system for operations — not another dashboard layer

You get a structured data sandbox plus the tools to build control logic and operational experiences fast.

BUSINESS LOGIC

Any process complexity — described as logic

From simple alarms to multi-step execution with approvals, escalations, SLAs, and KPIs. Change the rules in hours when reality changes — without code rewrites.

If you can describe the process, you can run it.
Connectivity

Any protocols, any vendors — one clean model

Connect sensors, PLCs, gateways, third-party systems, and manual inputs. Normalize once, then reuse the same structured data everywhere.

No “one stack fits all” fantasy — we adapt to site reality.
Scale

Production scale by design

Billions of records, heavy telemetry, thousands of concurrent users, and continuously running analytics are normal mode — not a future upgrade.

Performance is a feature, not an afterthought.
Insights

AI-assisted patterns — not manual hunting

Surface dependencies, risks, and anomalies without relying on one expert who knows everything. Bring insights directly into execution.

Less human factor • more repeatable outcomes.
Experience

Built for real roles — not one UI for everyone

Operations, engineering, and management need different views. MITE supports multiple UI patterns — tables, maps, cards, timelines, and reports — on top of the same governed model.

Same data truth • multiple operational experiences.
Value

Results tied to profit

Every loop is measurable: fewer incidents, lower losses, cleaner compliance, faster rollouts — because actions are tied to outcomes, not just monitoring.

IoT as a growth driver, not a cost center.
Real use cases

18 scenarios: pain → execution → measurable outcome

Each scenario shows a real operational problem, how it is executed in MITE, and the measurable outcome. No theory — only real processes you can launch and scale.

How it works

Three steps from device to decision

From raw signals to actions, evidence, and KPI outcomes — in days, not months.

2–5 DAYS

Data in. Clean model out.

Collect and normalize your operational reality in days. Providers push telemetry to your endpoint — we ingest it and turn raw events into a clean, queryable operational model.

a normalized data sandbox (assets, sites, routes, context, timestamps) ready for logic and execution.

Raw → normalized → usable

3–5 DAYS

Turn data into logic.

Define logic: triggers, workflows, KPIs. Configure what matters: thresholds, anomaly patterns, approvals, escalation paths, SLA timers, and KPI definitions — fast, with full traceability.

clear if-this-then-that operations, plus dashboards and audit-ready evidence.

Events → decisions → actions

GO-LIVE

Execute, measure, improve

MITE runs the loop continuously: triggers actions, stores evidence, tracks KPI impact, and helps you iterate safely — without breaking production.

a stable process, measurable results, and a feedback loop your team can trust.

Actions → evidence → KPI outcomes

Pricing

Start free, scale predictably

Validate one business process, then expand to sites, fleets, or full portfolios.

Customer voice

Teams choose MITE when outcomes matter

A few examples of what customers value most.

“Cold-chain reporting stopped being a monthly nightmare. We have one timeline, one audit trail, and reports in minutes — not days.”

Quality & Compliance Lead · Pharma distribution

“We changed logic weekly during rollout — no tickets to developers. When operations changed, the system changed immediately.”

Head of Engineering · Distributed infrastructure

“Downtime is no longer just a dashboard problem. Each stop creates an owned workflow, and KPIs show whether we actually fixed the cause.”

Operations Director · Manufacturing

“Scaling became predictable: same data model, same mechanisms — different sites. No integration snowflakes.”

Program Manager · Multi-site rollout
Ops
Do we need developers to change logic and workflows?
No. In MITE, processes are described as declarative logic — you define what should happen, not how to code it. Operations teams can change business logic, thresholds, routing rules, approvals, escalation ladders, and KPIs in hours — without rebuilding systems or waiting in a development backlog. Logic evolves with operations, not with code debt.
IT
How does MITE integrate with our existing landscape?
MITE supports industrial and web protocols such as MQTT, LoRaWAN, Modbus, OPC UA, REST, and webhooks, and exposes open APIs. We adapt to your environment — on-prem, cloud, or hybrid — and integrate with ERP, MES, SCADA, data lakes, and custom systems. There is no forced stack or architectural lock-in.
Compliance
Is MITE suitable for regulated and GDPR-controlled environments?
Yes. MITE includes role-based access control, immutable audit trails, configurable data retention policies, and export logging. Every action — view, edit, approve, export — is traceable. Evidence packs are generated from real workflows, not assembled manually before inspections. Compliance becomes governed system behavior, not spreadsheet coordination.
Platform
What if we need a new mechanism or capability?
If the requirement strengthens the platform at a systemic level rather than as a narrow one-off, we typically generalize it and deliver it quickly. That means you do not pay for isolated custom plumbing, and the platform becomes stronger with every real deployment. Your use case contributes to the evolution of the core, not to technical fragmentation.
Built for regulated industries. GDPR-ready. Role-based access. Immutable audit trail. No shadow spreadsheets. No hidden logic. No manual evidence assembly.
Contact

Tell us what you want to control — we’ll map the first win

Share your infrastructure and the outcome you want. We’ll propose the first measurable gain and how it can scale.

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