Red Dot Analytics
Singapore-based NTU deep-tech spin-off that builds AI-powered cognitive digital twin software (DCVerse) for data centre operators, hyperscalers, and AI infrastructure providers across Asia Pacific, deployed across 10,000+ racks and 130 MW of IT capacity.
- Company typePrivate
- Founded2016
- HeadquartersSingapore, Singapore
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Red Dot Analytics does
Red Dot AI (formerly Red Dot Analytics) is a Singapore-based deep-tech company, spun out of Nanyang Technological University in 2016, that builds cognitive digital twin and AI software for data centre operators and AI infrastructure providers across Asia Pacific. The company's flagship product is DCVerse, a cognitive digital twin platform that integrates real-time operational data with physics-informed AI models, advanced simulation, and machine learning to optimise compute, power, cooling, and operational risk in mission-critical environments. The platform is structured around a five-tier architecture progressing from geometric spatial modelling (Tier 1) through descriptive monitoring (Tier 2), predictive analytics (Tier 3), prescriptive recommendations (Tier 4) to fully autonomous operation (Tier 5).
DCVerse is complemented by four specialised modules: DC Twin Sandbox (near-real-time air-liquid hybrid simulation), Energy Optimization (cooling and power efficiency), AIDC SLA (liquid-cooling intelligence for AI workloads), and Agentic O&M (AI-agent-driven operations and maintenance). The company has deployed across more than 15 facilities spanning 10,000+ racks and 130 MW of IT capacity, with documented customer outcomes including a 40% reduction in cooling energy consumption, 70% fewer human errors, 2x operational efficiency improvement, and 3.5% PUE improvement at Iron Mountain's SIN-1 Singapore facility.
Red Dot AI monetises through multi-year subscription licensing to enterprise customers, supported by a direct enterprise field sales motion targeting data centre operators, hyperscalers, and infrastructure partners. The company sells via consultative demos and custom proposals to named enterprise logos including BDx, Iron Mountain, Equinix, DayOne, NSCC, ST Engineering, Nxera (Singtel), Bridge Data Centres, and China Mobile International. Its go-to-market combines direct sales with strategic co-development partnerships (Nxera, Bridge Data Centres, Eaton) and ecosystem affiliations (NTU, NVIDIA Inception, Alibaba, IMDA, Enterprise Singapore, SGTech). The company has raised a Pre-A funding round led by Granite Asia (August 2025) and, in May 2026, officially rebranded from Red Dot Analytics to Red Dot AI to reflect its expanded focus on AI factories and high-density AI workloads.
Red Dot Analytics firmographics
Firmographics- Name
- Red Dot Analytics
- Legal name
- Red Dot AI Pte Ltd
- Website
- https://rda.ai
- Company type
- Private
- Founded year
- 2016
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Singapore-based NTU deep-tech spin-off that builds AI-powered cognitive digital twin software (DCVerse) for data centre operators, hyperscalers, and AI infrastructure providers across Asia Pacific, deployed across 10,000+ racks and 130 MW of IT capacity.
- Ownership category
- akta.pro rank
Red Dot Analytics industry classification
Industry- Product category
- Data Centre Infrastructure Intelligence Software
- NAICS
- Computer Systems Design and Related Services (54151), Custom Computer Programming Services (541511)
- SIC
- Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Building Digital Twins, Commissioning & Performance Analytics (HSAPAPAO)
- akta.pro secondary industries
- Digital Twin for Manufacturing & Production Optimization (IMAIAMAO), Predictive Maintenance Analytics & APM Software (AI/ML, Digital Twins) (EUAEAKAH)
Keywords
Where Red Dot Analytics is headquartered
LocationHeadquarters
- HQ city
- Singapore
- HQ country
- Singapore
- HQ region
- Asia
Offices2 records
Markets served
Red Dot Analytics business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Enterprise Software Platform: Red Dot AI generates revenue through licensing its DCVerse cognitive digital twin platform to data centre operators. The platform is deployed as an enterprise solution targeting mission-critical infrastructure environments. The company emphasizes measurable outcomes, energy savings, and operational efficiency improvements as value drivers.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Enterprise platform pricing - custom quote-based |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels6 records
Red Dot Analytics product offering
Product offeringCore offering
Red Dot AI develops and licenses DCVerse, a cognitive digital twin platform that integrates real-time operational data, physics-informed AI models, and CFD-based simulation to optimize cooling, power, and operational performance for data centres and AI factories. It is delivered as an enterprise subscription solution with specialized modules for simulation (DC Twin Sandbox), energy optimization, AI workload liquid-cooling intelligence (AIDC SLA), and AI-driven operations and maintenance (Agentic O&M).
Product overview
Red Dot AI (formerly Red Dot Analytics) offers a unified platform architecture centered on DCVerse, its award-winning cognitive digital twin platform. The platform integrates real-time operational data, physics-informed AI models, machine learning, and simulation into a unified operational intelligence solution for data centres and AI factories. The portfolio consists of the core DCVerse platform enhanced by four specialized modules: DC Twin Sandbox for simulation and scenario analysis, Energy Optimization for cooling and power efficiency, AIDC SLA for liquid cooling management of high-density AI workloads, and Agentic O&M for AI-driven operations and maintenance. The platform's five-tier digital twin architecture progresses from geometric spatial modelling (Tier 1) through descriptive monitoring (Tier 2), predictive analytics (Tier 3), prescriptive recommendations (Tier 4), to fully autonomous operation (Tier 5), enabling operators to progressively advance their operational maturity.
Differentiator
Problem solved
Functional benefit
Brands
- DCVerse: Award-winning cognitive digital twin platform that integrates real-time operational data, advanced modelling, machine learning, and simulation into a unified operational intelligence platform for data centres and AI factories.
Products and services
- DCVerse Cognitive digital twin platform that integrates real-time operational data, physics-informed AI models, machine learning, and CFD-based simulation into a unified operational intelligence platform. Covers thermal and energy systems including chiller plants, CRAC systems, liquid cooling, chip-level heat exchange modelling, and air-liquid hybrid cooling modelling. Targets data centre operators and AI factory operators seeking to optimize cooling, power, compute capacity, and operational risk across mission-critical facilities.
- DC Twin Sandbox High-performance near real-time air-liquid hybrid simulation platform for thermal, server, power, and operational scenario modelling. Includes DC Twin Model Builder, RT liquid-cooling simulation, RT air-cooling (CFD-based) simulation, energy optimization strategy, RT load-thermal simulation, and what-if analysis. Designed for data centre operators and infrastructure planners performing capacity planning, server allocation, and design validation.
- Energy Optimization AI-powered energy optimization solution across the data centre stack, using physics-informed AI to continuously optimize cooling, power, and facility systems. Includes chiller optimization, data hall optimization, and PUE/WUE optimization to reduce energy waste and improve sustainability outcomes. Targeted at data centre operators seeking measurable reductions in cooling energy consumption and operating costs.
- AIDC SLA Hybrid liquid-cooling intelligence solution for high-density AI workloads. Monitors and predicts thermal behaviour across CDUs, cooling loops, racks, and facility systems. Features alarm early warning, flow and pressure tuning, and thermal-fluid simulation for safe, efficient liquid cooling operations. Targeted at hyperscalers and AI factory operators running GPU-intensive workloads.
- Agentic O&M Agentic operations and maintenance platform deploying AI agents that understand operational context, predict anomalies, recommend actions, and automate workflows. Provides 24/7 on-demand intelligence, permanent site knowledge accumulation, and elevated team capability for managing complex AI infrastructure at scale. Targeted at data centre operations teams seeking to reduce human error and accelerate decision-making.
Quantifiable outcome
- 40% reduction in cooling energy consumption
- +6 more outcomes
Companies that use Red Dot Analytics
Customer profileNamed customers9 records
Segments3 records
Ideal customer profiles3 records
Red Dot Analytics technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability5 records
Feature6 records
Red Dot Analytics partnerships and signals
Strategic signalPartnerships
Eight partnerships are on record, tiered flagship and core.
- Yovole InternationalflagshipJoint commitment with Fortera Capital to invest S$10 billion (US$8 billion) over 5-10 years for AI infrastructure development across Asia-Pacific. Part of Token Industry Alliance focused on 'Token per Watt' and 'Time to Token' metrics. Singapore serves as strategic joint headquarters.
- Token Industry Alliance MemberscoreAlliance members including Infrwaves, StepFun, DaoCloud, Bank of China Singapore branch, CES (Singapore), APEC SME Center for IT Promotion, Yincubator, SuperX Digital Power, Zenlayer, Aqua (Japan), and MGX. Focused on advancing AI infrastructure ecosystem development.
- EatoncoreCollaboration to develop AI and digital twin solutions for data centre infrastructure focusing on predictive maintenance, anomaly detection, and energy efficiency optimization. Combines Eaton's power management expertise with RDA's cognitive digital twin technology.
- Bridge Data CentrescoreStrategic partnership for AI-driven digital twin technologies to enhance data centre resilience, energy efficiency, and sustainability across APAC. MoU formalizes collaboration with pilot project at BDC's Cyberjaya facility. Partnership supported by Enterprise Singapore and MDEC Malaysia.
- Nxera (Singtel)coreCollaboration to develop smart IoT and digital twin platform for data centre operations. Part of Nxera's regional data centre initiative launched with Singapore Deputy Prime Minister. Targets AI-ready infrastructure across Singapore, Indonesia, and Thailand with sustainability goals including operational net-zero emissions by 2028.
- IMDA (Infocomm Media Development Authority)coreIMDA-accredited company. Participated in Future Economy Conference 2026 under IMDA Pavilion. IMDA introduces Energy Efficiency Grant for high-performance hardware and develops standards for energy-efficient data centres.
- Enterprise SingaporecoreGovernment agency facilitating partnerships and supporting Singapore technology exporters. Witnessed BDC-RDA MoU signing and supports regional expansion of Singapore deep-tech companies.
- Nanyang Technological University (NTU)coreDeep-tech spin-off origin. Prof Yonggang Wen serves as Chief Scientist and holds President's Chair at NTU's College of Computing & Data Science. Continued academic collaboration and research output.
Scale indicators9 records
Recent moves7 records
Expansion highlights7 records
Red Dot Analytics competitors and assessment
Company assessmentBroad incumbents
- Vertiv: Major data centre infrastructure vendor offering DCIM, thermal management, and power solutions. Competes with RDA on monitoring and cooling optimization but is anchored in hardware sales (UPS, cooling, PDU).
- Honeywell (Honeywell Forge): Industrial IoT and digital twin platform with building and critical infrastructure focus. Competes with RDA in facility performance analytics and predictive operations at enterprise scale.
- ABB: Industrial automation and digital twin vendor with ABB Ability solutions spanning data centres, facilities, and energy. Competes as a broader automation/electrification incumbent rather than data-centre-specialized.
- Schneider Electric (EcoStruxure): Global industrial digital twin, DCIM, and power management incumbent. Competes with RDA in data centre monitoring and optimization but as part of a broader portfolio covering electrical distribution, building automation, and IT infrastructure.
- Atos (Digital Twin solutions): Global IT services and digital transformation vendor offering digital twin solutions for data centres and industrial facilities. Competes with RDA as a broader systems integrator with embedded analytics offerings.
- Siemens (MindSphere / Xcelerator): Industrial digital twin and IoT platform incumbent with building technologies and data centre offerings. Competes with RDA through its broader industrial IoT stack rather than as a focused DC optimization player.
Emerging players
- 75F: AI-driven building management and predictive HVAC optimization provider. Comparable to RDA's Energy Optimization module but focused on commercial real estate rather than mission-critical data centres.
- ICT Energy (SST/EPcube) / Submer / Iceotope liquid cooling peers: Emerging liquid cooling and immersion cooling specialists serving the same high-density AI data centre workloads that RDA's AIDC SLA module targets. Adjacent rather than direct competitors, but represent the broader ecosystem RDA's platform integrates with.
- NVIDIA (Omniverse / Modulus): Provides simulation and digital twin platform (Omniverse, Modulus, Earth-2) increasingly applied to data centre and industrial optimization. Direct overlap with RDA's physics-informed AI simulation approach; an NVIDIA Inception ecosystem partner of RDA.
Others
- Digital Twin Consortium (various members incl. Akselos, Cityzenith): Ecosystem of digital twin vendors such as Akselos (asset digital twins) and Cityzenith (building digital twins) targeting adjacent industrial and built-environment use cases relevant to RDA's smart facility focus.
Market position
Strengths5 records
Weaknesses3 records
Competitive moat5 records
Key highlights7 records
Customer concentration
Red Dot Analytics social profiles
Digital presenceRed Dot Analytics compliance and trust
Trust signalCompliance2 records
Red Dot Analytics financial estimates
Financial estimateRevenue estimate
Valuation estimate
Red Dot Analytics leadership team
Management profileNumber of profiles
Profiles2 records
Red Dot Analytics funding detail
Funding detailFunding overview
Funding rounds2 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Red Dot Analytics M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Red Dot Analytics
What does Red Dot Analytics do?
Red Dot AI develops and licenses DCVerse, a cognitive digital twin platform that integrates real-time operational data, physics-informed AI models, and CFD-based simulation to optimize cooling, power, and operational performance for data centres and AI factories. It is delivered as an enterprise subscription solution with specialized modules for simulation (DC Twin Sandbox), energy optimization, AI workload liquid-cooling intelligence (AIDC SLA), and AI-driven operations and maintenance (Agentic O&M).
Is Red Dot Analytics a public or private company?
Red Dot Analytics is a private company. It is classified as venture growth investor backed and is currently operating.
When was Red Dot Analytics founded?
Red Dot Analytics was founded in 2016. It employs 11 to 50 people.
Where is Red Dot Analytics based?
Red Dot Analytics is headquartered in Singapore, Singapore, in the Asia region.
How does Red Dot Analytics make money?
One revenue line is on record: enterprise Software Platform.
Who are Red Dot Analytics's main competitors?
Broad incumbents on record are Vertiv, Honeywell (Honeywell Forge), ABB, Schneider Electric (EcoStruxure), Atos (Digital Twin solutions) and Siemens (MindSphere / Xcelerator). Emerging players are 75F, ICT Energy (SST/EPcube) / Submer / Iceotope liquid cooling peers and NVIDIA (Omniverse / Modulus). Digital Twin Consortium (various members incl. Akselos, Cityzenith) is listed as an others.
Does Red Dot Analytics have an API?
Yes. The platform is described as API-first and cloud-native. It connects to existing systems including BMS, DCIM, sensors, and IT systems. Specific API technical details such as protocol type, authentication method, rate limits, or versioning are not explicitly stated in the source material. Developer documentation is at No explicit documentation URL found in source material.
What industry is Red Dot Analytics in?
Red Dot Analytics's product category is Data Centre Infrastructure Intelligence Software. Its primary akta.pro industry code is HSAPAPAO, Building Digital Twins, Commissioning & Performance Analytics, with a secondary code of IMAIAMAO, Digital Twin for Manufacturing & Production Optimization. Its NAICS code is 54151 and its SIC code is 7373.