Industrial intelligence platform

Stop losing money
to unplanned downtime.

AI Tech Futures gives mid-size manufacturers real-time machine intelligence — eliminating the costly cabling projects and unpredictable cloud bills that hold most IIoT deployments back. Our edge-first platform, powered by Wi-Fi HaLow, deploys out of the box and starts delivering insight from day one.

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$1.4tn

Lost to unplanned downtime every year across the world's 500 largest companies

11%

of manufacturers have fully adopted predictive maintenance — most simply lack the data

Edge-first

Process data at source — cut cloud bandwidth costs and keep sensitive production data on site

The challenge

Unplanned downtime costs manufacturers billions — and most lack the data to stop it

$1.4 trillion is lost to unplanned downtime every year. Yet only 11% of manufacturers have adopted predictive maintenance. The barrier isn't ambition — it's that the infrastructure needed to get there is too expensive and too disruptive to deploy.

⚠️

Downtime is unpredictable and enormously costly

Without continuous machine data, failures appear without warning. Reactive maintenance is expensive, disruptive, and — as output targets tighten — commercially unsustainable. The only answer is real-time visibility into what machines are actually doing.

🔌

Getting that data means cabling or cloud — both are painful

Conventional wireless drops in industrial environments full of concrete and steel. The fix — factory-wide network cabling — is disruptive and costly. Cloud-heavy alternatives work but create variable ingestion fees that scale badly as you add machines and sites.

⚙️

Existing IIoT solutions weren't built for mid-market plants

Most platforms assume a large IT team, existing network infrastructure, and high tolerance for long integration cycles. Mid-size manufacturers need something that deploys fast, costs predictably, and doesn't require specialist support to maintain.

How it works

Edge-first architecture. Built for the factory floor.

We combine automated MQTT data pipelines with integrated Wi-Fi HaLow networking — delivering long-range, wall-penetrating wireless telemetry and immediate local processing, with no cabling required and cloud costs kept firmly in check.

Wi-Fi HaLow mesh networking

Low-frequency HaLow signals (900 MHz band) pass through concrete, steel, and heavy machinery — reaching every corner of a factory floor that conventional Wi-Fi cannot. Long-range, low-power, and highly stable in dense industrial environments.

Edge processing at source

Data is captured and processed locally by our edge nodes — delivering real-time insight without routing everything to the cloud. Sensitive production data stays on site. Cloud sync is available for backup and reporting, but never required for core operation.

Automated MQTT data pipelines

Industry-standard MQTT protocol connects sensors and machines to our platform with minimal configuration. New data sources plug in quickly through standard interfaces — no bespoke integration, no long deployment cycles.

Out-of-the-box deployment

Hardware and software arrive ready to deploy. Little or no interfacing with existing factory systems. No cabling project. First data on dashboards within days, not months.

Sensors & machines

Vibration · temperature · energy · throughput · MQTT telemetry

↓ Wi-Fi HaLow mesh ↓

Edge node (on-site)

Local processing · real-time anomaly detection · dashboards · alerts — no cloud required

↓ Optional cloud sync ↓

Intelligence layer

AI model training · lead indicator identification · predictive foresight · prescriptive recommendations

The intelligence journey

From observation to action — three stages of industrial intelligence

We meet manufacturers where they are and take them further than they thought possible. Each stage delivers immediate value and builds the foundation for the next.

→

Stage One

Observability

See everything, for the first time

Our edge nodes and HaLow mesh network capture high-fidelity time-series data at source — vibration, temperature, energy, throughput — without touching your IT systems. Real-time dashboards give your team instant visibility across every machine, shift and site. Fast-payback insight from day one.

→

Stage Two

Predictability

Know what will happen before it does

As our AI models learn from your production data, they begin identifying anomalies and lead indicators days or weeks before a fault occurs. You shift from reactive firefighting to confident, evidence-based planning — reducing unplanned downtime and cutting maintenance costs significantly.

Stage Three

Prescriptive Maintenance

Act on precise, AI-driven recommendations

The most advanced stage: the system not only predicts failures but tells you exactly what to do, when, and on which machine. Continuously refining models improve with every site we onboard — creating a compounding data advantage that no competitor can shortcut or replicate.

Why HaLow changes everything

The infrastructure advantage competitors can't match

Wi-Fi HaLow (802.11ah) operates in the sub-GHz band — a physical property that solves the three wireless problems every industrial customer faces.

📡

Penetrates industrial environments

900 MHz signals travel through concrete walls, steel structures, and dense machinery that block conventional 2.4 GHz and 5 GHz Wi-Fi. One access point covers a large plant area that would require dozens of conventional nodes.

Long-range · Sub-GHz

🔋

Low power, always-on sensors

HaLow's power efficiency enables battery-operated or energy-harvesting sensors that run for years without maintenance — dramatically lowering the cost and complexity of adding monitoring points across a plant.

Low power · Scalable

💰

Eliminates the cabling project

No factory-wide network cabling. No production line shutdowns for infrastructure work. No specialist network contractors. HaLow mesh networking is deployed wireless — keeping costs predictable and disruption near zero.

No cabling · Fast deploy

🛡️

Data stays on site

Edge-first processing keeps sensitive production data — machine parameters, quality metrics, output rates — within the factory boundary. Cloud sync is optional, not mandatory. Your data, your control.

Edge-first · Secure

📈

Predictable cost scaling

Cloud-heavy architectures create variable, usage-based ingestion fees that grow with every machine and site. Edge processing caps bandwidth costs at source — so you can scale to 100 machines without a 100x cloud bill.

Fixed cost · Scalable

🔗

Industry-standard protocol

MQTT is the established industrial IoT messaging protocol — lightweight, reliable, and supported by every major automation platform. Our pipelines use MQTT as standard, making integration with existing OT infrastructure straightforward.

MQTT · Open standard

Competitive positioning

Built for traditional industry — not tech-first early adopters

Most industrial IoT platforms were designed for high-tech environments with IT teams, existing network infrastructure, and high cloud budgets. We designed for the other 89%.

Capability	AI Tech Futures	Typical IIoT platform
Works in environments with concrete, metal & RF interference	✓ HaLow mesh — purpose-built for it	✗ Drops signal in heavy industrial environments
Deploys without factory-wide cabling project	✓ Wireless out-of-the-box	✗ Usually requires extensive network infrastructure
Predictable costs at scale	✓ Edge processing caps cloud ingestion fees	✗ Cloud costs grow with every data point and machine
Data processing without cloud dependency	✓ Operates fully offline if needed	✗ Cloud-dependent — fragile in poor connectivity
Operates with no dedicated IT team	✓ Plug-and-play; minimal IT integration	✗ Typically requires specialist IT support
Built-in AI training data moat	✓ Every site enriches proprietary model	✗ Generic, sector-agnostic models

The team

Built by operators, engineers and growth leaders — for traditional industry

Our team pairs deep manufacturing and engineering experience with start-up and exit track records. We understand the shop floor as well as the boardroom — and we've built the platform to prove it.

David Poole

Chairman

25+ years in tech-enabled services, with deep AI and automation expertise and a track record of investing in and building businesses from start-up to exit.

Charles Hoult

Chief Executive Officer

Chartered engineer and former MOD senior leader, experienced in delivering complex, high-growth programmes in demanding environments.

Andre Le-Lerre

Chief Architect

Seasoned management consultant with deep expertise in large-scale digital transformation; past roles span Ericsson, EY and the European Space Agency.

Jon Hunt

Chief Operating Officer

Two decades guiding businesses such as Biomni, Unisys and DXC through SaaS, automation and AI; an expert in strategic IT solutions.

Iain Crosley

Commercial Director

Experienced industrial-engineering executive; professor at the University of Central Lancashire and Advisory Board member of the AMRC.

Tas Papasolomontos

Chief Financial Officer

Senior business advisor and finance leader for complex, high-growth businesses; most recently CFO of a multinational manufacturer in major transformation.

Stop losing moneyto unplanned downtime.