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email@example.com
(555) 555-5555
Let people know what to reach out about and what to expect after contacting you. Don’t forget to choose a storage option for submissions
email@example.com
(555) 555-5555
We developed our flagship HVAC system to meet the UAE’s exploding cooling demand and the energy load of modern data centres. Now we’re bringing that same innovation — and our proprietary sensory technology — to whatever your business needs to build next.
We exist to give industrial operators the same engineering edge as the world’s largest technology companies — without the in-house lab, the multi-year ramp, or the risk of building something nobody buys. We do that two ways: we ship our own deep-tech products into the markets that need them, and we partner with companies who want to do the same in their sector.
QHS is the proof. We took a problem the UAE could not afford to keep paying for — chiller energy waste at scale — and built a sensing and control platform that closes the gap on existing plant. Now we put the same engineering, the same proprietary sensing, and the same speed-to-deployment behind whatever you need to build next.
Most industrial systems run blind to the variables that actually drive performance. Sensors are too slow, resolution is too coarse, and control loops act on signals that are minutes out of date. The result is plants operating well below their design point, with no clear way to recover the gap.
Our advantage is our sensing layer. The same proprietary sensor stack that powers QHS — high-resolution, low-latency, refrigerant- and process-agnostic — is the engine behind every system we build. It resolves what conventional instrumentation cannot, in real time, in industrial conditions, at a price that lets it be deployed at scale.
That is what we bring to a consulting engagement. Not a generic AI overlay. Not a software wrapper around someone else’s instruments. The actual hardware-and-controls capability that lets a system see, decide and act faster than the competition’s.
The same physics that solves chiller efficiency solves measurement and control problems across the industrial economy. Wherever a process depends on resolving signal that conventional sensors miss, our sensing and controls capability is deployable. These are the sectors we are built to serve.
Commercial chillers, district cooling and data-centre HVAC. 18–26% chiller energy recovery on existing plant. Productised as QHS.
Cooling, power and thermal management for hyperscale and edge. Our sensing layer runs at the resolution AI workloads demand.
Process control, energy optimisation and AI-driven automation for manufacturing operators that want to lead their sector.
Generation, transmission and demand-side management. Sensing and controls that move utilities from reactive to predictive.
Refrigeration efficiency where energy translates directly to product margin. Our oil-and-refrigerant fingerprinting catches drift before it costs.
Specification, integration and AI-controls intelligence for industrial robotics. Productive on day one, not on year three.
BMS, SCADA and PLC integrations that make new technology actually plug into the systems clients already run.
Bespoke AI and analytics built around your processes — not a generic platform retrofitted to fit no-one well.
If you are running cooling at scale, our HVAC product, QHS, is in commercial deployment readiness today. If you are anywhere else in the industrial economy and you need to move fast on AI, robotics or controls, our consulting practice is the way to do it without standing up an in-house R&D department.
For chiller and cooling operators
A sensing and control overlay that retrofits to existing chillers in days, integrates with the BMS in hours, and delivers 18–26% COP improvement without changing the chiller. Six independent uplift modules, refrigerant-agnostic, qualified across the major BMS platforms.
For companies that intend to lead their sector
Your outsourced R&D function. We design and deliver the hardware, software, controls and AI systems that put your operation at the front of its market — with full IP transfer and team handover, at a fraction of the cost of building an in-house department.
Not sure which fits? Talk to us and we’ll route the conversation.
QHS exists because the people behind it have spent two decades on industrial cooling plant — commissioning chillers, debugging controls, and watching commercial operators leak energy that conventional sensors could never see. Our founder built the team and the technology from that operator perspective: ship-first, retrofit-friendly, validated against real plant before it ever reaches a customer.
That same engineering discipline is what we bring to a consulting engagement. We have already built and shipped a deep-tech industrial product. We know what it takes to take an idea from bench to commissioning to commercial deployment — and we bring that capability to clients who need to do the same in their sector, without spending years and millions on an in-house R&D programme to get there.
Multi-disciplinary team across firmware, sensing, control theory and industrial integration. Ships product to customer-ready quality.
Dubai headquarters and manufacturing, with on-site commissioning teams embedded with customers throughout deployment.
Direct enterprise engagement, partner channels for product deployment, and customer success for production-grade installations.
We deploy business AI integrations for customers today, and we build the next generation of quantum-thermodynamic control products in parallel. One team. One control system underneath. Talk to us about either.
Talk to our teamWe bridge the gap into the AI and robotics revolution — designing the hardware, software and control systems your business needs to take the front of its market, faster than an in-house programme could deliver and at a fraction of the cost.
The technology and IP race is on. AI, robotics and intelligent automation are no longer optional — they are the difference between leading a sector and being absorbed by one. But standing up an internal R&D department is slow, expensive, and structurally hard to staff. The talent is scarce, the ramp is measured in years, and most companies cannot afford to wait for a department to mature before they start losing ground.
The companies winning the next decade are not the ones building the biggest in-house labs. They are the ones partnering with specialists who can move at industrial speed, develop technology with them rather than for them, and leave the capability inside the business once the work is done.
We act as your outsourced R&D function. We design and deliver the hardware, software, controls and AI systems that put your manufacturing or industrial operation at the front of its sector — and we do it at a speed that an internal team, however well funded, cannot match.
Sensing, control and instrumentation hardware engineered for your operating environment, manufactured to industrial standards, and qualified against the systems already on your plant.
Custom AI, control logic, analytics and integration layers built around your processes — not retrofitted from a generic platform that fits no-one well.
Robotic and automation systems specified, integrated and commissioned end-to-end, with the controls intelligence to make them productive on day one.
BMS, SCADA, PLC and enterprise integration so the new technology actually plugs into the systems you already run, without rebuilding what works.
We train the people who will keep the system running. Capability stays inside your business. Don’t let AI replace your team — let it amplify them.
We build with you, under NDA, with clear IP ownership in your favour. The technology you commission is yours — not a competitor’s next product launch.
A fully staffed industrial R&D department is a multi-million-dollar fixed cost before it ships its first deliverable. We deliver the same outcomes as a project engagement, sized to the work, with no headcount overhead.
We start with a working bench, working tools and a working team. Where an internal programme is still hiring, we are already in pilot.
Every engagement is built to transfer. We document, train and hand over — so when we leave, the system runs and your team owns it.
Your technology stays yours. We do not resell, we do not white-label your work to competitors, and we do not retain rights to the systems we develop for you.
We work to one of three engagement models, chosen to fit the scale and confidentiality of the project.
A scoped engagement to assess the opportunity, define the technical brief, and produce a costed development roadmap. Typically 4–8 weeks.
A fixed-scope build engagement where we design, prototype, deliver and commission a defined system, with full IP transfer and team handover.
A retained engagement where our engineers operate as your R&D function on an ongoing basis — running pipeline, advising on roadmap, and delivering the next thing before your competitors know it’s coming.
Don’t let AI replace your team. Let us future-proof and lead. Develop the product with us, keep your IP safe from your competition’s hands, and put your business at the front of the technology race rather than chasing it.
The technology and IP race is already running. The companies that win it are the ones who started yesterday. The next best moment is now.
Our services team deploys working AI into customer operations using the infrastructure they already own. Computer vision on existing CCTV. AI layered into existing software. All delivered by a dedicated engineering and operations team, with live dashboards, an API, and 24/7 support.
At our core, we consult on and build AI–machine interfaces — taking tasks currently performed by people, or problematic mechanical systems, into the future. We combine 20 years of real-world experience with edge computing, AI, and custom fabrication knowledge, backed by genuine mechanical-business understanding earned as an actual business owner, not just a consultant's perspective.
Computer vision via existing CCTV
Retrofit any existing CCTV network into a live, autonomous inventory ledger. Our vision models detect, classify and count SKUs in real time across shelves, pallets, bays and yards — with no RFID, no barcode scanning, and no additional hardware. Stock levels reconcile automatically against ERP and POS; shrinkage, misplacement and stockouts are flagged the moment they occur. Drop-in deployment on IP cameras from 2016 onward.
Operational intelligence from existing cameras
Turn passive surveillance footage into a real-time operations dashboard. Footfall, dwell time, queue length, conversion paths, staff coverage, loss events and safety incidents are extracted continuously from the same CCTV stream — no loyalty card, no mobile tracking, no PII. Anonymised at the edge. Delivered as a live dashboard, weekly report, and API stream into existing BI stacks.
AI integrated into the software you already run
We build and integrate AI into the business software you already run — ERP, CRM, POS, BI and internal tools. Document intelligence, demand and ops forecasting, workflow automation, and custom LLM agents, all shipped directly into the stack your team uses every day. Full model ownership, full data ownership, no lock-in, no black boxes. Scoped in weeks, deployed behind your firewall or in your cloud, and operated by our engineering team under SLA.
Quantum Control Projects is a Dubai-based engineering company. We build deep-tech for industry — our flagship HVAC product, QHS, is in commercial deployment readiness today, and our consulting practice partners with companies who need to bring AI, robotics and intelligent control into their operations without standing up an in-house R&D department.
We are an operating company, not a consultancy that talks about technology in the abstract. We design hardware, write firmware, build control systems, integrate them with the platforms our customers already run, and commission them in the field. Everything we ship has been validated against real plant before it reaches a customer.
QHS is the proof. We took a problem the UAE could not afford to keep paying for — chiller energy waste at scale — and built a sensing and control platform that delivers an 18–26% efficiency uplift on existing chillers without touching the chiller itself. The same engineering, the same proprietary sensing, and the same speed-to-deployment now sit behind every consulting engagement we take on.
We start with a working bench, working tools and a working team. Where an internal R&D programme is still hiring, we are already in pilot.
Your technology stays yours. We build under NDA with clear IP transfer in your favour — we do not white-label your work to competitors.
Every engagement is built to hand over. We document, train, and leave the system running with your team owning it.
Our founder has spent two decades on commercial cooling plant. We design for retrofit, integration and reliability — not for the lab.
Headquartered at the Dubai International Financial Centre, with manufacturing and on-site commissioning teams in the UAE. We work with operators across the Gulf and into Europe, and we deploy where the work is.
We work directly with operators, enterprises and infrastructure owners. CCTV AI enquiries are triaged within one business day. Quantum sensing and photonic control are scoped per-site with our engineering team.
Write to info@qcprojects.com or use the form below. Based in Dubai; responses during Gulf business hours.
We retrofit your existing CCTV network into an autonomous inventory system. No RFID tags. No barcode scans. No new hardware. Our vision models identify, classify and count SKUs in real time across shelves, pallets, bays and yards, and reconcile continuously against your ERP and POS. Stockouts, misplacements and shrinkage are flagged the instant they happen — with a full video audit trail for every event.
A working, live inventory system running on your existing camera network, fully integrated with your back-office systems, operated under SLA by our engineering team.
Retail chains, warehouses, distribution centres, manufacturing plants, yards, ports and any operation where stock physically moves through cameras you already own. Single-site pilots start in weeks. Multi-site rollouts scale from there.
Every camera you already own is an operational sensor. Our models extract footfall, dwell time, queue length, conversion paths, staff coverage, loss events and safety incidents directly from the existing video stream — anonymised at the edge, with zero PII ever leaving the site. Delivered as a live dashboard, weekly operator report, and an API stream that drops straight into whatever BI stack you already use.
A unified operations feed drawn from your existing cameras, delivered as three surfaces: a live dashboard for floor managers, a weekly digest for operators, and an API stream for your BI team.
Retail operators, shopping centres, transport hubs, stadiums, event venues, QSR and hospitality chains. Anywhere people, queues, throughput and safety matter and the cameras are already installed.
Identities are never extracted. No face recognition, no re-identification, no loyalty tracking. Faces are hashed and discarded on-device before the frame ever leaves the camera. Data residency stays on your network.
We build and integrate AI directly into the business software your team uses every day — ERP, CRM, POS, BI and internal tools. Document intelligence. Demand and operations forecasting. Workflow automation. Custom LLM agents. Full model ownership, full data ownership, no black boxes, no lock-in. Scoped in weeks, deployed behind your firewall or in your cloud, and operated by our engineering team under SLA.
ERP platforms (SAP, Oracle, Dynamics, Odoo), CRM (Salesforce, HubSpot), POS (Lightspeed, NCR, Shopify), BI (Power BI, Tableau, Looker), custom internal tooling, and existing SaaS products you want to ship AI features into.
You own the models, the weights, the evaluation sets, the prompts, and the data. Deployments run in your cloud or behind your firewall. When the engagement ends, the system is yours to keep operating or to hand to another team. No proprietary runtime. No vendor trap.
An atomic-scale sensor node designed to measure temperature, strain, electric and magnetic fields simultaneously from a single measurement point. Engineered to replace three conventional instruments with zero drift, zero calibration and zero electronics at the measurement point. Engineering prototypes are currently in bench testing. Pilot deployments are being scoped with industrial partners.
Prototype sensor nodes are in internal bench testing. The measurement physics has been validated. Current work focuses on packaging, interface electronics and long-run stability. Target for first industrial pilot: scoped in-quarter.
Semiconductor process control. Turbomachinery and rotating equipment monitoring. High-voltage transmission. Battery and energy storage diagnostics. Precision manufacturing. Any environment where three instruments used to be the answer.
Built on our Stark Theory framework. A single quantum-active measurement volume responds distinctly to temperature, strain, electric and magnetic perturbations, with the contributions separable by design rather than by calibration.
CephaloNet is a distributed photonic control architecture. Instead of a central controller moving commands down a bus, CephaloNet places lightweight optical control nodes directly at each actuator and coordinates them over a low-latency photonic backplane. Control loops close locally and in parallel. The architectural design is complete. Subassemblies are in active R&D.
Architectural design and signalling protocol are complete. Photonic subassemblies, optical node packaging and the fabric scheduler are in active research. Target for first engineering prototype: next development cycle.
Fast, wide, high-actuator-count control systems that today are bottlenecked by copper and a central controller — advanced manufacturing cells, adaptive optics, beam-steering arrays, plasma and fusion control, large-scale scientific instrumentation.
Move control to light, move decisions to the edge. When every node is both a photonic endpoint and a local controller, the fabric scales by adding nodes instead of faster central hardware.
A quantum-thermodynamic simulation and design suite built in-house to support our own hardware development. It closes the loop between Stark Theory, Min's Law, and real-world engineering targets, and serves as the internal toolchain that every product on this page is designed against. Alpha builds are in active internal use. External release is scoped for a later stage.
The suite is in daily internal use by our engineering team. APIs are stabilising. Documentation, packaging and licensing are the work required before a controlled external release to research and industrial partners.
Research groups designing sensors, controllers or quantum-thermodynamic systems. Industrial R&D teams looking to simulate instrumentation before building it. Partners co-developing hardware with us against the same toolchain.
There is no public download. Access today is via collaborative engagement with our team. If the suite sounds useful for your work, reach out and we'll tell you what's possible in the current stage.
Anonymised deployment briefs from the services team. Customer names remain under NDA; scope, architecture and outcome metrics are published as each engagement reaches a reportable milestone. Contact engineering for a detailed walkthrough under NDA.
QHS retrofits to your existing plant in days, integrates with your BMS in hours, and pays back in months — not years.
The UAE runs on cooling. More than 70% of peak electricity demand is consumed by air conditioning and refrigeration, and the installed base of chiller plant exceeds four million tons. Yet most chillers operate 15–25% below their rated coefficient of performance because conventional sensors cannot resolve the variables that actually drive efficiency: refrigerant superheat, oil–refrigerant ratio, condenser approach temperature, and the dozens of secondary signals that determine whether a compressor is delivering its design-point work.
The cost of this gap is not theoretical. For a 500-ton chiller running 4,500 hours a year in UAE summer conditions, every 1% of COP improvement is approximately AED 28,000 per year. A typical commercial portfolio leaks 18–26% of that opportunity every cooling season.
QHS is a sensing and control overlay that closes the gap. It deploys QC's proprietary high-resolution sensor stack across six measurement points on the chiller and its auxiliaries, processes the signals through C-Net distributed control logic, and issues second-by-second setpoint refinements to the existing chiller controller. The chiller itself is unchanged. The BMS is unchanged. What changes is the precision of the information the controller acts on — and the outcome is a measurable, sustained lift in COP.
QHS is engineered as six independent uplift modules. Each module addresses a specific loss mechanism, and each can be deployed standalone or as part of the full platform.
Stabilises refrigerant superheat at the evaporator outlet, recovering compressor work conventionally lost to wet-suction or starved-evaporator operation.
Optimises heat rejection by tracking approach temperature and tower performance in real time, reducing lift across the compressor.
Maintains delta-T at design across variable load, eliminating the low-delta-T syndrome that degrades both chiller efficiency and distribution pumping.
Coordinates variable-speed drives across the cooling tower bank, capturing the cube-law fan energy savings that fixed-speed and uncoordinated VFD operation leave on the table.
Applies the same principle to medium-voltage compressor drives, recovering work at the largest single energy node in the plant.
Continuously characterises the working fluid mixture and flags degradation, contamination, or charge drift before they impact COP — turning a periodic maintenance check into a continuous diagnostic.
Together the six modules deliver an 18–26% COP improvement on commercial centrifugal chillers, verified component-by-component and additive within the bounds of system physics.
QHS is designed for retrofit. The sensor stack mounts on existing chiller pipework, transmitter housings, and panel positions without breaking refrigerant containment or modifying OEM controls. C-Net communicates with the chiller controller and the building management system over standard BACnet/IP and Modbus TCP, and is qualified against the major platforms in operation across the region — Trane Symbio, Carrier i-Vu, Johnson Controls Metasys, Siemens Desigo, and Honeywell EBI.
A typical 500-ton chiller is fully instrumented and commissioned in three to five working days. Larger plants and district cooling installations are deployed in phased blocks to allow continuous operation throughout the upgrade.
QHS is engineered for the UAE operating envelope: ambient design conditions to 50°C, IP-rated for sand and dust ingress, and validated across the refrigerant base in active commercial use — R-134a, R-1234ze, R-513A, R-1233zd, and R-32. The platform is refrigerant-agnostic by design, protecting the investment through the Kigali Amendment transition currently underway across the region.
Utilities and Owners' Associations, where small percentage gains compound across hundreds of thousands of installed tons.
Portfolio operators where the chiller is the single largest line item on the operating budget.
24-hour duty cycle assets where guest comfort and energy cost must be optimised simultaneously.
Reliability-critical facilities where conventional optimisation tools cannot operate without service interruption.
Cooling installations where refrigeration efficiency translates directly into product margin.
For a representative 500-ton chiller in a UAE commercial building, QHS delivers approximately 380,000 kWh of annual electricity savings, equivalent to roughly AED 175,000 in operating cost reduction at current tariff. Simple payback on the full platform is typically under 30 months. Payback on individual modules — particularly the Oil and Refrigerant Fingerprint module and the Condenser Water module — is often inside 18 months.
For a district cooling operator running 100,000 tons of plant, the same percentage uplift translates into an eight-figure annual saving at portfolio level and a measurable contribution to Scope 2 emissions reporting.
The UAE has set explicit decarbonisation and demand-side management targets through DEWA's 2030 strategy, the Dubai Clean Energy Strategy 2050, and the federal Net Zero 2050 commitment. Cooling is the single largest controllable load in the country. The economic and regulatory environment is aligned, the chiller fleet is in place, and the sensing technology that makes deep efficiency gains possible has reached commercial deployment readiness.
QHS is in active deployment readiness with pilot programmes available to qualifying district cooling utilities, hospitality groups, and commercial property owners. Pilot terms include independent third-party verification of energy savings, a defined pilot duration of twelve months, and a commercial pathway from pilot to portfolio deployment.
Quantum Control Projects is a deep-tech company headquartered at the Dubai International Financial Centre and manufacturing in the UAE. The company is led by founders with more than two decades of senior engineering experience in commercial HVAC, refrigeration, and industrial controls. QHS is the company's flagship commercial product. Patent protection for the underlying sensing and control architecture is filed and progressing through PCT national phase entry.
Performance figures cited reflect verified component-by-component uplift on commercial centrifugal chillers operating under UAE design conditions, measured against baseline operation prior to QHS deployment. Pricing references reflect at-scale recommended retail pricing assuming in-house manufacturing. Pilot deployments are subject to site survey, qualification, and commercial agreement.
QHS is the first product we have brought to commercial deployment readiness. Other industrial verticals are in active development inside the company. We will talk about each one when it ships — on the same standard QHS was held to: engineered against real plant, validated component-by-component, and ready to deploy at scale.
If you want to know what is coming next, the conversation starts in the same place every conversation here does: contact us.
Production licences for our live AI products, priced per camera per month with volume tiers. Enterprise sites get dedicated model tuning and a direct line into our engineering team.