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Deep Green

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uuid0000avc

Namestring
Deep Green
Legal namestring
Deep Green Technologies Limited
Company typeenum
Private
Founded yearint
2021
Descriptiontext

Deep Green Technologies Limited, founded in 2021 and headquartered in Manchester, UK, operates modular AI-ready colocation data centres that capture and reuse waste heat from high-density compute workloads. Its flagship facility, DG01 Manchester (Urmston), went live in 2026 at 400kW total capacity across 13 racks supporting up to 150kW per rack, using closed-loop liquid cooling to achieve a PUE below 1.2 while donating captured heat to warm Move Urmston Leisure Centre's swimming pool. The company targets enterprise and mid-market clients requiring AI inference, GPU clusters, and high-performance computing capacity, offering deployment in approximately four weeks versus the industry standard of 12+ months.

The core technology combines direct liquid cooling, waterless closed-loop systems, and proprietary heat capture architecture that recovers up to 95% of compute heat for redistribution to adjacent district heating networks and community heat partners. Its product roadmap includes DG02 North London (4.9MW in development), Bradford Edge (5.6MW with planning permission secured in May 2026 for integration with the Bradford Energy Network developed by 1Energy), and a previously proposed 20+MW facility in Lansing, Michigan that was withdrawn in April 2026 ahead of the City Council vote. Deep Green also bundles social impact programmes — Community Hours, Deeper Green Carbon Removal, Swim Hours, and STEM Education — funded through client hosting to support ESG narratives for enterprise customers.

Deep Green's revenue model is enterprise colocation: clients rent rack space, power, and cooling on multi-year subscription contracts, with custom quote-based pricing disclosed only after direct sales engagement. The company is backed by Octopus Energy Generation, which invested £200 million in December 2023 (with the company's website referencing a £500 million investment commitment), and operates with a 1–10 person team supported by inside and field sales motions targeting UK enterprises, UK universities, public sector bodies, and heat host organisations. Distribution is entirely direct — no self-service, marketplace, or reseller channel — and the company's growth thesis is tied to scaling a 300MW pipeline across the UK, Europe, and North America.

Short descriptiontext

Deep Green operates modular AI-ready colocation data centres in the UK that capture and donate waste heat to community heating networks, serving enterprises, universities, and public sector bodies needing high-density GPU and HPC compute with rapid deployment.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersLondon, United Kingdom
HQ citystring
London
HQ countrystring
United Kingdom
HQ regionstring
Europe
Markets served

Serves global market

Offices6 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
data centre colocation, waste heat recovery, modular data centres, high-density HPC hosting, district heating networks
Industry3 codes
1Retail Colocation (Multi-Tenant Data Centers)
CodeHDABACAAPrimaryYes
2Cooling Systems & Thermal Management (CRAC/CRAH, Chillers, Liquid Cooling)
CodeHDABAKADPrimaryNo
3Edge Colocation & Micro Data Centers
CodeHDABACAIPrimaryNo
NAICS code2 codes
  • Steam and Air-Conditioning Supply22133
  • Steam and Air-Conditioning Supply221330
SIC code2 codes
  • Air-Cond & Warm Air Heatg Equip & Comm & Indl Refrig Equip3585
  • Cogeneration Services & Small Power Producers4991
Product category
AI-Ready Data Centre Colocation
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model2 records
1HPC / AI Colocation Hosting
TypeSubscription Recurring
Description

Deep Green generates revenue primarily by providing colocation hosting services to enterprise clients needing high-density AI and HPC compute capacity. Clients rent rack space in Deep Green's data centres and pay usage-based or subscription fees for power, cooling, and housing their servers. The company offers flexible deployment with scalable capacity, targeting enterprises running GPU clusters, AI inference, and data-intensive workloads.

deepgreen.energy
2Heat as a Service / Heat Partner Agreements
TypeManaged Services
Description

Deep Green supplies captured waste heat free of charge to heat partner organizations (district heating networks, leisure centres, public buildings, residential networks) in exchange for cooled water returned to the data centre, creating a circular cooling loop that reduces operating costs and improves PUE. This is a cost-reduction mechanism rather than a direct revenue stream, as the heat value is exchanged for cooling efficiency.

deepgreen.energy
Marketing channels10 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components6 values
Infrastructure, Operations, Personnel, Technology or R&D, Marketing or Sales, Supply Chain
Pricing details1 tier
1DG01 Manchester facility — 400kW total capacity across 13 racks at up to 150kW per rack
ModelSubscriptionBilling cadenceMulti-year contract
Notes

Pricing is not publicly listed; clients are directed to book a call for a custom quote. Colocation fees are tailored to capacity needs, power density, and contract duration.

deepgreen.energy
GTM typeB2B
B2B
Offering typeServices
Services
Brand1 record
1DG01 Manchester
Description

AI-ready colocation data centre in Greater Manchester, Urmston, with 400kW capacity and heat reuse capabilities.

deepgreen.energy
Core offering1 text field

Deep Green operates a portfolio of modular, AI-ready colocation data centres built with closed-loop liquid cooling that captures up to 95% of server heat and donates it free to adjacent community heat partners such as leisure centres and district heating networks. Clients rent high-density rack capacity (up to 150kW per rack) and pay for power, cooling, and housing on multi-year contracts, while the company monetises the cooling efficiency gained from heat reuse and offers ESG/Scope 4 reporting aligned with EU taxonomy standards.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 12 values shown
  • PUE of 1.03-1.07 (vs industry average 1.225-1.7)
+11 more records
Product overview1 text field

Deep Green operates a portfolio of modular, AI-ready colocation data centres that deploy at the edge, adjacent to heat partners (such as leisure centres, residential buildings, and district heating networks). The core offering consists of live and in-development facilities — DG01 Manchester (live, 400kW), DG02 North London (4.9MW, in development), Bradford Edge (5.6MW, planning-approved), and the withdrawn DG01 Lansing proposal (20+MW). These are supported by a suite of sustainability impact modules including Community Hours, Deeper Green Carbon Removal, STEM Education, and Swim Hours — all funded through client hosting at Deep Green's facilities. Deep Green's differentiating model is heat reuse: captured server heat is donated free to local communities, dramatically reducing operating costs (PUE below 1.2) and providing clients with reportable Scope 4 emissions reductions and a compelling ESG narrative. Clients deploy high-density GPU clusters (up to 150kW per rack) in four weeks, significantly faster than the industry standard of 12+ months.

Product and service1 record
1DG01 Manchester
CategoryAI-ready colocation data centre
Description

Deep Green's flagship live operational AI-ready colocation data centre in Urmston, Greater Manchester, delivering 400kW total site capacity across 13 racks at up to 150kW per rack. Uses closed-loop, waterless cooling and donates captured heat to Move Urmston Leisure Centre, saving approximately £80,000 per year in heating costs and reducing CO2 emissions by 100–150 tonnes annually. Target customers are enterprises and mid-market organisations running GPU clusters, AI inference, and HPC workloads requiring high-density rack capacity and ESG-grade reporting.

Scale indicator9 records

Each record includes

Type, Value, Description, Source

Partnership8 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-05-18
Description

Deep Green secured planning permission for its 5.6MW Bradford facility to integrate with the Bradford Energy Network being developed by 1Energy. The data centre will use a closed-loop cooling system to capture heat and supply it directly to the district heating network. The Bradford Energy Network is targeted to launch in Autumn 2026.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-05-05
Description

Deep Green partnered with Zendo Energy to power its 400kW Manchester flagship data centre in Urmston. Zendo deployed its Energy OS software alongside energy supplier Engie to provide clean energy supply, monitoring, and capacity optimization for the facility. Zendo Energy emerged from stealth in 2025 after a $2.2 million pre-seed funding round.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-05-05
Description

Engie serves as the energy supplier for Deep Green's Manchester data centre in partnership with Zendo Energy's Energy OS software, providing clean energy supply to the Urmston facility.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Deep Green's DG01 Manchester data centre is co-located at Move Urmston Leisure Centre in Greater Manchester. The facility captures server heat and supplies it to warm the leisure centre's swimming pool, saving approximately £80,000 per year on heating costs and reducing CO2 emissions by 100-150 tonnes annually. This is Deep Green's flagship heat reuse demonstration site.

Strategic tierMinorTypeImplementation/ SI/ Consulting Partner
Description

Hemiko is the developer partner for the Old Oak and Park Royal Energy Network in west London, one of the data centre heat reuse projects referenced alongside Deep Green's schemes as examples of how data centre waste heat can be recovered for residential and commercial use.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Deep Green's proposed Lansing data centre project involved a partnership with the Lansing Board of Water & Light (BWL), the city's publicly owned utility. The project would have transferred excess server heat to BWL's downtown heat loop to replace natural gas, with the utility saving over $1 million annually. BWL analysis confirmed the project would reduce overall downtown emissions. The proposal was withdrawn in April 2026.

Strategic tierCoreTypeTechnology or Integration
Description

Bloom Energy was the proposed fuel cell technology provider for Deep Green's Lansing project. The 16MW Bloom fuel cell installation would have generated power for the data centre while capturing heat to feed into BWL's district heating system, producing dramatically lower emissions than a natural gas boiler alternative.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

WETA (Women's Empowerment Training Academy) is a community partner for Deep Green's Swim Hours programme at Move Urmston Leisure Centre. WETA supports Muslim women in the community, and Deep Green funds swimming lessons for 12 Muslim women through this partnership.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight7 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

UK-based operator of high-performance, sustainable colocation campuses targeting AI and HPC workloads, with a focus on northern England — directly comparable customer base and value proposition.

TypeDirect peer
Description

German operator of distributed, heat-reuse data centres using direct liquid cooling and warm-water output to district heating networks — the closest direct competitor to Deep Green's heat-reuse colocation model.

TypeDirect peer
Description

Netherlands-based distributed computing provider that recaptures server heat to warm homes, operating a comparable household-heat-reuse model to Deep Green's community-embedded approach.

TypeEmerging player
Description

UK precision liquid-cooling vendor for high-density AI/HPC servers; overlaps with Deep Green's cooling technology stack and shares the high-density, sustainability-led pitch to enterprise buyers.

TypeEmerging player
Description

Immersion and liquid-cooling specialist for hyperscale and edge data centres; comparable on the thermal-management side of Deep Green's offering, though focused on cooling hardware rather than colocation services.

TypeRegional player
Description

UK regional colocation provider with multi-MW facilities serving enterprise and public-sector buyers; comparable customer segments and geography, though without Deep Green's heat-reuse positioning.

TypeBroad incumbent
Description

Carrier-neutral colocation incumbent operating London's Docklands campus; comparable UK enterprise and carrier-neural customer base, though operating at hyperscale rather than edge/modular.

TypeBroad incumbent
Description

Global retail colocation incumbent with extensive UK presence; competes for the same enterprise HPC/AI workloads and is rapidly expanding liquid-cooling capabilities, representing the dominant incumbent threat to Deep Green.

TypeBroad incumbent
Description

Global hyperscale and multi-tenant data centre operator with significant UK capacity; competes for AI/HPC colocation deals at scale and is pursuing sustainability and heat-reuse initiatives of its own.

TypeRegional player
Description

UK-based colocation provider serving enterprise clients; cited in Deep Green's ecosystem as a prior Zendo Energy counterpart, indicating overlapping channels and customer base in the UK mid-market.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers2 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

Integration1 record

Each record includes

Title, Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles9 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance4 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds1 record

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors1 record

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Deep Green

AI-Ready Data Centre Colocationdeepgreen.energy

Deep Green operates modular AI-ready colocation data centres in the UK that capture and donate waste heat to community heating networks, serving enterprises, universities, and public sector bodies needing high-density GPU and HPC compute with rapid deployment.

What Deep Green does

Deep Green Technologies Limited, founded in 2021 and headquartered in Manchester, UK, operates modular AI-ready colocation data centres that capture and reuse waste heat from high-density compute workloads. Its flagship facility, DG01 Manchester (Urmston), went live in 2026 at 400kW total capacity across 13 racks supporting up to 150kW per rack, using closed-loop liquid cooling to achieve a PUE below 1.2 while donating captured heat to warm Move Urmston Leisure Centre's swimming pool. The company targets enterprise and mid-market clients requiring AI inference, GPU clusters, and high-performance computing capacity, offering deployment in approximately four weeks versus the industry standard of 12+ months.

The core technology combines direct liquid cooling, waterless closed-loop systems, and proprietary heat capture architecture that recovers up to 95% of compute heat for redistribution to adjacent district heating networks and community heat partners. Its product roadmap includes DG02 North London (4.9MW in development), Bradford Edge (5.6MW with planning permission secured in May 2026 for integration with the Bradford Energy Network developed by 1Energy), and a previously proposed 20+MW facility in Lansing, Michigan that was withdrawn in April 2026 ahead of the City Council vote. Deep Green also bundles social impact programmes — Community Hours, Deeper Green Carbon Removal, Swim Hours, and STEM Education — funded through client hosting to support ESG narratives for enterprise customers.

Deep Green's revenue model is enterprise colocation: clients rent rack space, power, and cooling on multi-year subscription contracts, with custom quote-based pricing disclosed only after direct sales engagement. The company is backed by Octopus Energy Generation, which invested £200 million in December 2023 (with the company's website referencing a £500 million investment commitment), and operates with a 1–10 person team supported by inside and field sales motions targeting UK enterprises, UK universities, public sector bodies, and heat host organisations. Distribution is entirely direct — no self-service, marketplace, or reseller channel — and the company's growth thesis is tied to scaling a 300MW pipeline across the UK, Europe, and North America.

Deep Green firmographics

Firmographics
Name
Deep Green
Legal name
Deep Green Technologies Limited
Website
https://deepgreen.energy
Company type
Private
Founded year
2021
Operating status
Operating
Headcount range
11–50 employees
Short description
Deep Green operates modular AI-ready colocation data centres in the UK that capture and donate waste heat to community heating networks, serving enterprises, universities, and public sector bodies needing high-density GPU and HPC compute with rapid deployment.
Ownership category
akta.pro rank

Deep Green industry classification

Industry
Product category
AI-Ready Data Centre Colocation
NAICS
Steam and Air-Conditioning Supply (22133), Steam and Air-Conditioning Supply (221330)
SIC
Air-Cond & Warm Air Heatg Equip & Comm & Indl Refrig Equip (3585), Cogeneration Services & Small Power Producers (4991)
akta.pro primary industry
Retail Colocation (Multi-Tenant Data Centers) (HDABACAA)
akta.pro secondary industries
Cooling Systems & Thermal Management (CRAC/CRAH, Chillers, Liquid Cooling) (HDABAKAD), Edge Colocation & Micro Data Centers (HDABACAI)

Keywords

  • Data centre colocation
  • Waste heat recovery
  • Modular data centres
  • High-density HPC hosting
  • District heating networks

Where Deep Green is headquartered

Location

Headquarters

HQ city
London
HQ country
United Kingdom
HQ region
Europe

Offices6 records

Markets served

Deep Green business model

Business model
GTM type
B2B
Offering type
Services
Cost components
Infrastructure, Operations, Personnel, Technology or R&D, Marketing or Sales, Supply Chain

Revenue model

  1. HPC / AI Colocation Hosting: Deep Green generates revenue primarily by providing colocation hosting services to enterprise clients needing high-density AI and HPC compute capacity. Clients rent rack space in Deep Green's data centres and pay usage-based or subscription fees for power, cooling, and housing their servers. The company offers flexible deployment with scalable capacity, targeting enterprises running GPU clusters, AI inference, and data-intensive workloads.
  2. Heat as a Service / Heat Partner Agreements: Deep Green supplies captured waste heat free of charge to heat partner organizations (district heating networks, leisure centres, public buildings, residential networks) in exchange for cooled water returned to the data centre, creating a circular cooling loop that reduces operating costs and improves PUE. This is a cost-reduction mechanism rather than a direct revenue stream, as the heat value is exchanged for cooling efficiency.

Pricing tiers

ModelBillingPrice
SubscriptionMulti-year contractDG01 Manchester facility — 400kW total capacity across 13 racks at up to 150kW per rack

Go-to-market motion3 records

Distribution channels3 records

Marketing channels10 records

Deep Green product offering

Product offering

Core offering

Deep Green operates a portfolio of modular, AI-ready colocation data centres built with closed-loop liquid cooling that captures up to 95% of server heat and donates it free to adjacent community heat partners such as leisure centres and district heating networks. Clients rent high-density rack capacity (up to 150kW per rack) and pay for power, cooling, and housing on multi-year contracts, while the company monetises the cooling efficiency gained from heat reuse and offers ESG/Scope 4 reporting aligned with EU taxonomy standards.

Product overview

Deep Green operates a portfolio of modular, AI-ready colocation data centres that deploy at the edge, adjacent to heat partners (such as leisure centres, residential buildings, and district heating networks). The core offering consists of live and in-development facilities — DG01 Manchester (live, 400kW), DG02 North London (4.9MW, in development), Bradford Edge (5.6MW, planning-approved), and the withdrawn DG01 Lansing proposal (20+MW). These are supported by a suite of sustainability impact modules including Community Hours, Deeper Green Carbon Removal, STEM Education, and Swim Hours — all funded through client hosting at Deep Green's facilities. Deep Green's differentiating model is heat reuse: captured server heat is donated free to local communities, dramatically reducing operating costs (PUE below 1.2) and providing clients with reportable Scope 4 emissions reductions and a compelling ESG narrative. Clients deploy high-density GPU clusters (up to 150kW per rack) in four weeks, significantly faster than the industry standard of 12+ months.

Differentiator

Problem solved

Functional benefit

Brands

  • DG01 Manchester: AI-ready colocation data centre in Greater Manchester, Urmston, with 400kW capacity and heat reuse capabilities.

Products and services

  • DG01 Manchester Deep Green's flagship live operational AI-ready colocation data centre in Urmston, Greater Manchester, delivering 400kW total site capacity across 13 racks at up to 150kW per rack. Uses closed-loop, waterless cooling and donates captured heat to Move Urmston Leisure Centre, saving approximately £80,000 per year in heating costs and reducing CO2 emissions by 100–150 tonnes annually. Target customers are enterprises and mid-market organisations running GPU clusters, AI inference, and HPC workloads requiring high-density rack capacity and ESG-grade reporting.

Quantifiable outcome

  • PUE of 1.03-1.07 (vs industry average 1.225-1.7)
  • +11 more outcomes

Companies that use Deep Green

Customer profile

Named customers2 records

Segments4 records

Ideal customer profiles4 records

Deep Green technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Integration1 record

Feature5 records

Deep Green partnerships and signals

Strategic signal

Partnerships

Eight partnerships are on record, tiered core and minor.

  • 1Energy (Bradford Energy Network)coreStrategic or Co-development Partner · 18 May 2026Deep Green secured planning permission for its 5.6MW Bradford facility to integrate with the Bradford Energy Network being developed by 1Energy. The data centre will use a closed-loop cooling system to capture heat and supply it directly to the district heating network. The Bradford Energy Network is targeted to launch in Autumn 2026.
  • Zendo EnergycoreTechnology or Integration · 5 May 2026Deep Green partnered with Zendo Energy to power its 400kW Manchester flagship data centre in Urmston. Zendo deployed its Energy OS software alongside energy supplier Engie to provide clean energy supply, monitoring, and capacity optimization for the facility. Zendo Energy emerged from stealth in 2025 after a $2.2 million pre-seed funding round.
  • EngiecoreTechnology or Integration · 5 May 2026Engie serves as the energy supplier for Deep Green's Manchester data centre in partnership with Zendo Energy's Energy OS software, providing clean energy supply to the Urmston facility.
  • Trafford Leisure / Move Urmston Leisure CentrecoreStrategic or Co-development PartnerDeep Green's DG01 Manchester data centre is co-located at Move Urmston Leisure Centre in Greater Manchester. The facility captures server heat and supplies it to warm the leisure centre's swimming pool, saving approximately £80,000 per year on heating costs and reducing CO2 emissions by 100-150 tonnes annually. This is Deep Green's flagship heat reuse demonstration site.
  • HemikominorImplementation/ SI/ Consulting PartnerHemiko is the developer partner for the Old Oak and Park Royal Energy Network in west London, one of the data centre heat reuse projects referenced alongside Deep Green's schemes as examples of how data centre waste heat can be recovered for residential and commercial use.
  • Lansing Board of Water & Light (BWL)minorStrategic or Co-development PartnerDeep Green's proposed Lansing data centre project involved a partnership with the Lansing Board of Water & Light (BWL), the city's publicly owned utility. The project would have transferred excess server heat to BWL's downtown heat loop to replace natural gas, with the utility saving over $1 million annually. BWL analysis confirmed the project would reduce overall downtown emissions. The proposal was withdrawn in April 2026.
  • Bloom EnergycoreTechnology or IntegrationBloom Energy was the proposed fuel cell technology provider for Deep Green's Lansing project. The 16MW Bloom fuel cell installation would have generated power for the data centre while capturing heat to feed into BWL's district heating system, producing dramatically lower emissions than a natural gas boiler alternative.
  • WETA (Women's Empowerment Training Academy)minorStrategic or Co-development PartnerWETA (Women's Empowerment Training Academy) is a community partner for Deep Green's Swim Hours programme at Move Urmston Leisure Centre. WETA supports Muslim women in the community, and Deep Green funds swimming lessons for 12 Muslim women through this partnership.

Scale indicators9 records

Recent moves6 records

Expansion highlights7 records

Deep Green competitors and assessment

Company assessment

Direct peers

  • KAO Data: UK-based operator of high-performance, sustainable colocation campuses targeting AI and HPC workloads, with a focus on northern England — directly comparable customer base and value proposition.
  • Cloud&Heat Technologies: German operator of distributed, heat-reuse data centres using direct liquid cooling and warm-water output to district heating networks — the closest direct competitor to Deep Green's heat-reuse colocation model.
  • Nerdalize: Netherlands-based distributed computing provider that recaptures server heat to warm homes, operating a comparable household-heat-reuse model to Deep Green's community-embedded approach.

Emerging players

  • Iceotope Technologies: UK precision liquid-cooling vendor for high-density AI/HPC servers; overlaps with Deep Green's cooling technology stack and shares the high-density, sustainability-led pitch to enterprise buyers.
  • Submer: Immersion and liquid-cooling specialist for hyperscale and edge data centres; comparable on the thermal-management side of Deep Green's offering, though focused on cooling hardware rather than colocation services.

Regional players

  • Custodian Data Centres: UK regional colocation provider with multi-MW facilities serving enterprise and public-sector buyers; comparable customer segments and geography, though without Deep Green's heat-reuse positioning.
  • Galaxy Data Centres: UK-based colocation provider serving enterprise clients; cited in Deep Green's ecosystem as a prior Zendo Energy counterpart, indicating overlapping channels and customer base in the UK mid-market.

Broad incumbents

  • Telehouse (KDDI): Carrier-neutral colocation incumbent operating London's Docklands campus; comparable UK enterprise and carrier-neural customer base, though operating at hyperscale rather than edge/modular.
  • Equinix: Global retail colocation incumbent with extensive UK presence; competes for the same enterprise HPC/AI workloads and is rapidly expanding liquid-cooling capabilities, representing the dominant incumbent threat to Deep Green.
  • Digital Realty: Global hyperscale and multi-tenant data centre operator with significant UK capacity; competes for AI/HPC colocation deals at scale and is pursuing sustainability and heat-reuse initiatives of its own.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

Deep Green social profiles

Digital presence

Deep Green compliance and trust

Trust signal

Compliance4 records

Deep Green financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Deep Green leadership team

Management profile

Number of profiles

Profiles9 records

Deep Green funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Deep Green M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Deep Green

What does Deep Green do?

Deep Green operates a portfolio of modular, AI-ready colocation data centres built with closed-loop liquid cooling that captures up to 95% of server heat and donates it free to adjacent community heat partners such as leisure centres and district heating networks. Clients rent high-density rack capacity (up to 150kW per rack) and pay for power, cooling, and housing on multi-year contracts, while the company monetises the cooling efficiency gained from heat reuse and offers ESG/Scope 4 reporting aligned with EU taxonomy standards.

Is Deep Green a public or private company?

Deep Green is a private company. It is classified as venture growth investor backed and is currently operating.

When was Deep Green founded?

Deep Green was founded in 2021. It employs 11 to 50 people.

Where is Deep Green based?

Deep Green is headquartered in London, United Kingdom, in the Europe region.

How does Deep Green make money?

Two revenue lines are on record. HPC / AI Colocation Hosting is the primary driver. The others are heat as a Service / Heat Partner Agreements.

Who are Deep Green's main competitors?

Direct peers on record are KAO Data, Cloud&Heat Technologies and Nerdalize. Emerging players are Iceotope Technologies and Submer. Regional players are Custodian Data Centres and Galaxy Data Centres. Broad incumbents are Telehouse (KDDI), Equinix and Digital Realty.

Does Deep Green have an API?

No public API is recorded for Deep Green.

What industry is Deep Green in?

Deep Green's product category is AI-Ready Data Centre Colocation. Its primary akta.pro industry code is HDABACAA, Retail Colocation (Multi-Tenant Data Centers), with a secondary code of HDABAKAD, Cooling Systems & Thermal Management (CRAC/CRAH, Chillers, Liquid Cooling). Its NAICS code is 22133 and its SIC code is 3585.

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Live signals
Crypto BriefingDeep Green develops waste-heat recovery systems to ease AI power strainDeep Green, a UK startup, builds modular data centers that capture up to 95% of server waste heat for district heating and swimming pools. Its proof-of-concept in Urmston saves £80,000 annually in heating costs, and it has secured £200 million in funding to deploy 300 MW of heat-reusing infrastructure.Bangor Daily NewsFederal regulators accept preliminary permit for underwater data center off EastportThe Federal Energy Regulatory Commission accepted DeepGreen Western Passage SPV's filing for a preliminary permit to build a $100 million underwater AI data center on 27 acres in the Bay of Fundy near Eastport, Maine. The 48-month permit allows engineering and environmental studies, not construction, and the company reduced output from 51 MW to 15 MW. Public comment and intervention deadlines are Oct. 19.Prolificnorth£80m-backed Sheffield AI cooling company in two-horse race for UK’s data centre deep freeze dominanceTracxn released a report finding UK companies have raised approximately $362 million in disclosed equity funding for AI data centre cooling and heat-reuse technology, placing the UK second globally behind the United States. This funding concentration rests almost entirely on two companies—London's Deep Green ($255M raised) and Sheffield's Iceotope ($107M backed)—as rising AI power density and tightening UK water-planning rules build a stronger case for water-efficient cooling technology. The report suggests near-term opportunity lies with the ten early-stage companies outside these two anchors as they build commercial track records needed to attract disclosed funding.The Cool DownAfter July outages, Warren, Michigan, officials consider a pause on new data centers and zoning rulesWarren, Michigan's City Council unanimously voted for a temporary moratorium on new data center development following July 3 storms that knocked down more than 60 power lines, exposing significant strain on the city's aging electrical grid. Municipal attorneys will draft the formal moratorium while the city works on updating zoning rules for the expanding sector. Similar restrictions are being adopted or considered across Michigan communities including Lansing, which approved a 182-day suspension after Deep Green withdrew its downtown AI plan, as public opinion polls show 57% of Americans oppose having data centers in their communities.IMechECould the AI data centre boom heat the UK’s homes?The UK is planning to build over 100 new data centres in the next five years, a 20% increase that has raised concerns about environmental placement while also presenting an opportunity to capture the substantial waste heat these facilities generate. Analysis from EnergiRaven suggests data centres could heat up to 6 million homes by 2035 through heat networks, helping reduce reliance on imported fuels and volatile gas markets. Projects like the Old Oak and Park Royal Energy Network in west London, with developer Hemiko, and smaller schemes by Deep Green already demonstrate how data centre heat can be recovered for residential and commercial use, though experts say longer-term capital support and reliable heat purchase agreements are needed to make this mainstream.DatacenterdynamicsUK's Deep Green secures planning permission for Bradford Edge facilityUK data center firm Deep Green has secured planning approval to build a 5.6MW facility in Bradford, West Yorkshire on Listerhills Road. The facility will use a closed-loop cooling system to capture surplus heat and supply it directly to the Bradford Energy Network being developed by 1Energy, launching in Autumn 2026. Deep Green, backed by investor Octopus Energy, aims to deploy 300MW of distributed capacity across Europe and the US.Computer WeeklyBradford datacentre with heat reuse gains planning consentDeep Green has received planning consent to build a 5.6MW datacentre in Bradford, UK, which will reuse waste heat by integrating with the Bradford Energy Network to heat local buildings and facilities. The facility, expected to be operational around the end of 2028 following a 24-month construction period, will serve universities, public sector bodies, and businesses running AI inference and data-intensive workloads using a closed-loop cooling system. The project is positioned as a pioneering model for datacentre heat reuse in the UK, where such initiatives remain rare, though other operators like Vantage Data Centres are pursuing similar schemes in London.WKAR Public MediaWhat Deep Green's failed Lansing proposal says about the changing data center debateA proposed data center project by Deep Green in Lansing was rejected after community opposition and changing project details fueled mistrust. The opposition was driven by concerns over environmental impacts, water use, and local costs, even though the project was smaller than hyperscale data centers. The failure highlights the importance of transparency and public engagement in infrastructure development.DatacenterdynamicsDeep Green taps Zendo Energy for Manchester data center renewable energy dealUK-based data center developer Deep Green has partnered with Zendo Energy to power its 400kW flagship data center in Urmston, Greater Manchester, with Zendo deploying its Energy OS software alongside energy supplier Engie to provide clean energy supply, monitoring, and capacity optimization. The partnership enables Deep Green to supply excess server heat to warm the adjacent Trafford Leisure Center's swimming pool. Zendo Energy, which emerged from stealth last year after a $2.2 million pre-seed funding round, previously signed a similar energy supply contract with Galaxy Data Centers for 40GWh annually.IO+European startups lead the charge in sustainable AIEuropean AI startups are taking a differentiated approach to the AI energy crisis by focusing on efficiency rather than competing with American hyperscalers in raw compute power. Four companies—Deep Green, UPMEM, Green Compute, and TWAICE—are developing solutions ranging from capturing waste heat in community data centers to processing data within memory chips and optimizing battery storage for energy grids. These approaches address the growing tension between AI expansion and climate goals by reducing the carbon footprint of AI infrastructure while improving energy utilization.