Ecopia AI
Ecopia AI is a Toronto-based geospatial AI company, founded in 2013, that converts satellite, aerial, drone, and street-view imagery into HD vector maps using proprietary deep learning. It serves insurers, governments, telecoms, civil engineers, and NGOs with building footprints, land cover, transportation, and geocoding data products.
- Company typePrivate
- Founded2013
- HeadquartersToronto, Canada
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Ecopia AI does
Ecopia AI is a Toronto-based, privately held geospatial artificial intelligence company founded in 2013 from Ph.D. research at the University of Waterloo. The company operates a proprietary deep-learning mapping engine — refined over 10+ years and accelerated by NVIDIA GPUs on a cloud-based pipeline — that converts high-resolution imagery from satellite, aerial, drone, and street-view sources into high-precision HD vector maps at >95% geometric accuracy. Its product suite comprises four core offerings: 3D Land Cover (75+ standardized vector layers for land use and infrastructure visualization), Advanced Transportation Features (60+ layers including sidewalks, bike lanes, crosswalks, medians), Building-Based Geocoding (180M+ US building footprints and 270M+ rooftop-level geocodes delivered via subscription or API at contractually guaranteed 97%+ accuracy), and Global Feature Extraction (custom imagery-to-vector projects at any geography). A self-service Data Portal launched in April 2026 adds on-demand transactional access to the off-the-shelf library.
Ecopia monetizes through five channels: (i) multi-year enterprise contracts for custom feature extraction (e.g., NOAA $10M+, Canadian Federal Government $8M, City of Detroit multi-year renewals, IDOT/CMAP); (ii) recurring subscriptions to Building-Based Geocoding and land cover data; (iii) embedded licensing through derivative partners (Cotality/CoreLogic, NextNav, LandInfo, Esri); (iv) royalty-bearing data redistribution via a 27+ imagery partner network (Nearmap, Vantor, Airbus, Hexagon, Bluesky, Woolpert, Eagleview, Planet, etc.); and (v) marketplace margin from Airbus certified reseller status. Pricing is quote-based across all tiers.
The company serves six vertical segments: insurance and reinsurance (Tokio Marine, Munich Re, Swiss Re, Cincinnati, Harford Mutual, Openly, SageSure, Neptune Flood, Farmers, USAA, CoreLogic/Cotality), municipal and state government (Detroit, LA, Toronto, Washington, Arizona, Alaska, IDOT/CMAP, SEMCOG), federal government and multilaterals (NOAA, Government of Canada, JUPEM Malaysia, LINZ New Zealand, World Bank, WHO, BMGF), telecommunications (Deutsche Telekom, NTT, Bloosurf), civil engineering (AECOM, Jacobs, HDR, Stantec, Fehr & Peers, Alta, Dewberry), and NGOs/humanitarian (WHO, BMGF, Novel-T). Ecopia has mapped 40M+ sq km across 100+ countries, is self-described as completely bootstrapped, and holds multiple growth awards including Deloitte Fast 50/Fast 500 and Globe & Mail Top Growing Companies.
Ecopia AI firmographics
Firmographics- Name
- Ecopia AI
- Legal name
- Ecopia AI
- Website
- https://ecopiatech.com
- Company type
- Private
- Founded year
- 2013
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Ecopia AI is a Toronto-based geospatial AI company, founded in 2013, that converts satellite, aerial, drone, and street-view imagery into HD vector maps using proprietary deep learning. It serves insurers, governments, telecoms, civil engineers, and NGOs with building footprints, land cover, transportation, and geocoding data products.
- Ownership category
- akta.pro rank
Ecopia AI industry classification
Industry- Product category
- Geospatial Intelligence Software
- NAICS
- Geophysical Surveying and Mapping Services (541360)
- SIC
- Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Geocoding, Search & Place Data Platforms (BPAMANAC)
- akta.pro secondary industries
- Remote Sensing & Geospatial Vision (satellite/drone imagery) (HDAAAEAL), Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
Keywords
Where Ecopia AI is headquartered
LocationHeadquarters
- HQ city
- Toronto
- HQ country
- Canada
- HQ region
- North America
Offices1 record
Markets served
Ecopia AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations, Others
Revenue model
- Off-the-shelf data sales via self-service portal: Self-service online data portal enables customers to browse, purchase, and download high-precision off-the-shelf geospatial datasets on demand. Customers can pay per dataset/area for instant access to standardized vector layers (e.g., 3D land cover, advanced transportation features, building-based geocoding) without commissioning custom work.
- Custom Global Feature Extraction services: Custom geospatial data extraction services in which Ecopia applies its AI systems to a customer's own imagery (or sourced imagery) to generate HD vector maps of any discernible feature anywhere in the world. Typically multi-year enterprise contracts (e.g., multi-year City of Detroit impervious surface contract; $8M Canadian Government contract; $10M+ NOAA contracts).
- Imagery Partner licensing (input imagery + AI conversion): Ecopia ingests imagery from a global network of imagery partners (Nearmap, Vantor, Airbus, Hexagon, Bluesky, Woolpert, Eagleview, CGR, Getmapping, Kokusai Kogyo, AppGeo, Connected Nation, Ryzyliant, AAM, Planet, European Space Imaging, LandInfo, SIIS, JUPEM, Sanborn, Dewberry, Magna, etc.) and converts it into HD vector products that are then redistributed — generating ongoing licensing/royalty revenue per pixel/area processed.
- Derivative partner embedded data licensing: Ecopia licenses its HD vector data to derivative partners (NextNav, Cotality, LandInfo, Esri) who embed Ecopia's maps into their downstream products (3D visualizations, property intelligence solutions, 5G network planning, GIS platforms). Recurring revenue stream based on data subscription/embedding.
- Building-Based Geocoding data subscriptions: Recurring access to Ecopia's 180M+ building footprint and 270M+ rooftop-level geocoding database, delivered as a dataset or via API (e.g., Cincinnati Insurance, Tokio Marine, Munich Re, Neptune Flood, CoreLogic, Openly, SageSure, Standard Casualty, reThought, FlowFlood, Titan Flood, Harford Mutual all subscribe). Annual updates with year-over-year change detection included.
- Airbus imagery resale (certified reseller): As part of the expanded Airbus partnership, Ecopia joined Airbus' certified reseller network, enabling Ecopia to resell Airbus imagery (Pléiades and Pléiades Neo) bundled with Ecopia's AI mapping outputs — generating reseller margin on imagery distribution.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Pay-as-you-go | Self-service data portal — browse and purchase off-the-shelf datasets on demand (quote-based) |
| Other | Multi-year contract | Enterprise multi-year contracts for custom feature extraction |
| Subscription | Annual | Building-Based Geocoding subscription with annual updates |
Go-to-market motion5 records
Distribution channels5 records
Marketing channels10 records
Ecopia AI product offering
Product offeringCore offering
Ecopia AI applies a proprietary imagery-agnostic deep-learning neural network to convert high-resolution geospatial imagery (satellite, aerial, drone, and street-view) into high-precision HD vector maps at scale, producing building footprints, 2D and 3D land cover, transportation features, and rooftop-level geocoded addresses with greater than 95% geometric accuracy. Its offering includes off-the-shelf data products (3D Land Cover, Advanced Transportation Features, Building-Based Geocoding), custom Global Feature Extraction services, and a self-service Data Portal delivered to governments, insurers, telecoms, civil engineers, and NGOs via direct sales, APIs, and a two-tier Imagery and Derivative partner network.
Product overview
Ecopia AI offers a unified geospatial intelligence platform built around four core products — 3D Land Cover, Advanced Transportation Features, Building-Based Geocoding, and Global Feature Extraction — all powered by Ecopia's proprietary AI-based mapping systems that convert high-resolution imagery from a global partner network into high-definition vector maps with GIS-professional accuracy. Customers access these products either via the self-service Data Portal for off-the-shelf datasets or through Global Feature Extraction for custom imagery-based feature extraction. The platform has mapped over 100 countries and produces millions of square kilometers of vector data per month for use cases spanning civil engineering, municipal, state and federal government, insurance, telecommunications, and NGO applications.
Differentiator
Problem solved
Functional benefit
Brands
- Ecopia®: Trademarked brand name used by the company in product descriptions (e.g., "Ecopia® is using AI to build a digital twin of the world").
Products and services
- 3D Land Cover Foundational 3D and 2D land cover and land use vector map data for geospatial visualization, analytics, and decision-making. Provides 75+ layers of comprehensive, accurate, and up-to-date high-precision land cover and transportation mapping data for instant access across applications such as stormwater management, climate resilience, and urban planning.
- Advanced Transportation Features Detailed transportation network data powering right-of-way analysis, active transportation plans, pedestrian safety improvements, permitting, and Vision Zero initiatives. Includes more than 60 vector layers such as sidewalks, bike lanes, turn lanes, road markings, and crosswalks, with greater than 95% geometric accuracy, launched off-the-shelf across 100 North American cities with planned expansion to 1.5M+ sq km.
- Building-Based Geocoding The first and only complete map of buildings in the US, providing 180M+ high-precision building footprints and rooftop-level geocodes for more than 270 million primary and secondary US address points. Uses Ecopia's proprietary machine-learning-based geocoding engine with contractually-guaranteed 97%+ accuracy and annual updates enriched with FEMA flood zone classifications and year-over-year change detection insights.
- Global Feature Extraction Custom geospatial feature extraction service that produces millions of square kilometers of HD vector maps monthly, anywhere in the world, using the most up-to-date imagery sources available. Extracts building footprints, 2D and 3D land cover, high-precision roads, sidewalks, and change detection with GIS-professional accuracy, scaled across any area of interest for enterprise customers via multi-year contracts.
- Ecopia Self-Service Data Portal Online self-service portal (platform.ecopiatech.com) enabling data professionals to browse, purchase, and download Ecopia's off-the-shelf high-precision geospatial mapping data library on demand, delivering vector data with greater than 95% geometric accuracy sourced from partners such as Nearmap. Supported by the Government of Canada through FedDev Ontario.
Quantifiable outcome
- 75% reduction in time spent on manual property assessments (Harford Mutual Insurance Group)
- +10 more outcomes
Companies that use Ecopia AI
Customer profileNamed customers57 records
Segments6 records
Ideal customer profiles6 records
Ecopia AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration1 record
AI capability7 records
Feature7 records
Ecopia AI partnerships and signals
Strategic signalPartnerships
27 partnerships are on record, tiered flagship, core and minor.
- NearmapflagshipNearmap and Ecopia AI announced the availability of off-the-shelf, high-precision planimetric transportation data across 100 North American cities, extracted from Nearmap aerial imagery using Ecopia's AI mapping technology. The Advanced Transportation Features dataset includes more than 60 vector layers (sidewalks, bike lanes, turn lanes, road markings, crosswalks) at >95% geometric accuracy, with planned expansion to 1.5M+ sq km. Also produced 3D Land Cover data available for instant access across 400 US cities. Nearmap is one of Ecopia's flagship imagery partners and a major channel for off-the-shelf data distribution.
- Vantor (formerly Maxar)flagshipEcopia's partnership with Vantor enables the creation of high-precision 3D land cover data anywhere in the world, updated in near real-time. Used together to map every building footprint across the United States (169M footprints over 8M sq km in 6 months for Vantor) and supports the 'Map the World in 3D' initiative. Vantor is one of Ecopia's longest-standing and most strategic imagery partners.
- NVIDIAflagshipEcopia AI's high-precision 3D vector data is available in NVIDIA Earth-2 to support climate simulations and analytics. Ecopia's AI-based mapping process is developed with NVIDIA GPUs supporting it. Dion Harris (Senior Director of HPC and AI Factory Solutions at NVIDIA) is quoted. Used to fuel next-generation climate analytics and simulations.
- ESA (European Space Agency) - Business Applications and Space SolutionscoreESA Business Applications and Space Solutions supports the demonstration project 'land use change identification (LUCI) for rail' programme through which Ecopia AI and Airbus provide Network Rail (UK) with high-precision land use change data for mapping and geospatial analysis. Enrico Spinelli from ESA is quoted. ESA provides programme support, Airbus provides imagery, Ecopia provides AI mapping.
- AirbusflagshipEcopia and Airbus expanded their partnership to enable global 3D vector mapping. Ecopia leverages Airbus' global very high-resolution 30cm Pléiades Neo and 50cm Pléiades imagery as inputs to Ecopia's AI-based 3D mapping systems. Ecopia also joined Airbus' certified reseller network to resell Airbus imagery. Ecopia digitized two entire countries in 3D from Airbus imagery in just 3.5 weeks for Snap, Inc., and jointly delivered high-precision land use change data to Network Rail with ESA support (LUCI programme).
- AAM GroupcoreAAM Group partnered with Ecopia to deliver 3D and 2D land cover data across 500 km² of the City of Perth for a State Land Information Authority. Ecopia ran 15cm aerial imagery through its AI systems to extract 2D land cover vectors (multilevel buildings, roads, railways, bridges, water bodies, swimming pools, trees), then AAM added 3D height data. Delivered in 12 days vs ~50 weeks manually (~40% cost reduction).
- HexagoncoreHexagon and Ecopia work together to produce high-precision mapping products across the US, including land cover and building footprints for the State of California used in wildfire prevention and response. A dedicated 'Partnership Profile - Hexagon' blog is featured on Ecopia's site.
- WoolpertcoreWoolpert partnered with Ecopia to develop advanced 3D land cover maps of Australian metro areas. The partnership was expanded to map Australian metros in 3D (referenced in 'Woolpert Expands Partnership with Ecopia AI to Map Australian Metros in 3D' news article).
- EagleviewcoreEcopia and Eagleview provide the public sector with high-precision land cover and transportation data. Eagleview is one of Ecopia's imagery partners that helps distribute Ecopia's mapping products to public sector customers.
- BlueskycoreBluesky and Ecopia partnered to create the first ever 3D map of Ireland, powering complex geospatial use cases across industries. Referenced in 'Ecopia & Bluesky Partner to Create First 3D Map of Ireland' news article.
- CGR (Compagnia Generale Ripreseaeree)coreCGR partnered with Ecopia to create the most accurate, up-to-date, and comprehensive 2D and 3D map across all of Italy — Ecopia's first country-wide 3D mapping project. Opens up opportunities in new markets for CGR (telecoms, government flood analysis). Referenced in 'Digitizing Italy with Ecopia and CGR' case study.
- GetmappingminorGetmapping is one of Ecopia's imagery partners — referenced in the global partner network logos and on the partner network page.
- Kokusai KogyominorKokusai Kogyo (Japan) is one of Ecopia's imagery partners — referenced in the global partner network logos.
- AppGeominorAppGeo is one of Ecopia's imagery partners — referenced in the global partner network logos.
- Connected NationminorConnected Nation is one of Ecopia's imagery partners — referenced in the global partner network logos.
- RyzyliantminorRyzyliant is one of Ecopia's imagery partners — referenced in the global partner network logos.
- NextNavcoreNextNav partners with Ecopia to create powerful 3D building visualizations that help first responders reach people in need faster. NextNav embeds Ecopia's building data into its 3D location platform. Referenced in 'Ecopia Partners with NextNav to Enable Emergency Response Teams with 3D Visualizations' news article.
- Cotality (formerly CoreLogic)coreCotality leverages Ecopia's building footprints to develop property solutions serving the insurance and real estate industries. Matt Karli (Senior Leader - Product Management, CoreLogic) is quoted: 'Our collaboration with Ecopia allows us to leverage the highest-quality building footprints in conjunction with our additional property information.'
- LandInfocoreLandInfo leverages Ecopia's land cover data to develop 5G planning & deployment solutions for customers in telecommunications. LandInfo is both an imagery partner and a derivative partner embedding Ecopia's data into telecom planning tools.
- PlanetminorPlanet is one of Ecopia's imagery partners — referenced as a customer/partner logo on the homepage.
- European Space Imaging (ESI)minorEuropean Space Imaging (ESI) is one of Ecopia's imagery partners — referenced as a customer/partner logo on the homepage.
- SIISminorSIIS is one of Ecopia's imagery partners — referenced as a customer/partner logo on the homepage.
- Snap Inc.coreEcopia AI partnered with a Snap Inc. subsidiary to pilot 3D map content integration. Ecopia digitized two entire countries in 3D from Airbus imagery in just 3.5 weeks for Snap. Snap is referenced as a customer/partner logo on the homepage and via a dedicated news article 'Ecopia AI Partners with Snap Inc. Subsidiary to Pilot 3D Map Content Integration'.
- SanbornminorSanborn is one of Ecopia's imagery partners — referenced as a customer/partner logo on the homepage.
- DewberryminorDewberry is referenced as a customer/partner logo on Ecopia's homepage — Dewberry uses Ecopia's building footprints to support broadband expansion work with the State of Alaska.
- JUPEM (Malaysia)minorJUPEM (Department of Survey and Mapping Malaysia) is referenced as a customer/partner logo on Ecopia's homepage and as a featured case study for nationwide mapping in Malaysia.
- Magna (aerospace/automotive)minorMagna is referenced as a customer/partner logo on Ecopia's homepage; specific partnership details are not described in the source material.
Scale indicators21 records
Recent moves7 records
Expansion highlights7 records
Ecopia AI competitors and assessment
Company assessmentDirect peers
- Nearmap: Aerial imagery provider and Ecopia's largest US channel/distribution partner. Nearmap supplies imagery that Ecopia's AI converts into vector products, while also co-marketing off-the-shelf 3D Land Cover across 400 US cities and Advanced Transportation Features across 100 North American cities — making Nearmap the closest co-product peer, with both overlap and partnership.
- Vantor (formerly Maxar Intelligence): High-resolution satellite imagery and 3D geospatial intelligence provider; flagship imagery partner to Ecopia and a co-developer of 'Map the World in 3D.' Vantor has its own AI-derived 3D products and competes with Ecopia in defense, federal, and commercial 3D mapping while simultaneously relying on Ecopia's AI for vector extraction at scale.
- Planet Labs: Earth observation satellite operator with high-cadence imagery and its own analytics/AI products. Listed as one of Ecopia's imagery partners but also a competing source of foundational geospatial data for government and commercial buyers in climate, agriculture, and defense.
- Mapbox: Developer-focused mapping and location platform with its own vector tile pipeline, satellite/aerial basemap, and automotive/AV HD map products. Directly comparable to Ecopia in the AV/ADAS HD-map and off-the-shelf vector data category, particularly with automotive and logistics customers.
Broad incumbents
- Airbus Defence and Space (including Pléiades): Operator of Pléiades and Pléiades Neo satellites, which are core input imagery for Ecopia's global 3D mapping. Airbus is a flagship partner (and now a certified reseller in which Ecopia resells Airbus imagery), but Airbus's broader OneAtlas and Defence portfolios overlap with Ecopia's analytics layer in defense and government markets.
- Esri: Dominant GIS platform used by virtually all of Ecopia's municipal, state, and federal government customers. Esri is a derivative partner that embeds Ecopia's HD vector data into the ArcGIS ecosystem, but it also owns its own imagery, geocoding, and partner-distributed data products that compete for the same wallet share.
- Hexagon (Geospatial division): Geospatial imagery and analytics provider (HxGN content program, Luciad, ERDAS). Hexagon is an Ecopia imagery partner for US public-sector work, including California wildfire projects, but competes more broadly in defense, public safety, and infrastructure mapping where Ecopia also sells.
- Google (Google Maps Platform / Google Earth Engine): Hyperscale mapping platform with petabyte-scale imagery, building footprints (Open Buildings), and AI-derived geospatial features (Earth Engine). Google's free/low-cost AI building footprint products (e.g., Open Buildings) directly overlap with Ecopia's Building-Based Geocoding value proposition for emerging-market and humanitarian use cases.
Emerging players
- BlackSky: Satellite operator and geospatial intelligence provider offering AI-driven site monitoring, change detection, and analytics. Comparable to Ecopia's global imagery-to-insight workflow in defense, federal, and commercial monitoring markets.
- Descartes Labs: Geospatial analytics company that applies machine learning to satellite imagery for agriculture, energy, and sustainability use cases. Overlaps with Ecopia in applying AI to large-scale imagery for commercial and government buyers, though Descartes Labs is more focused on analytical outputs than vector map products.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Ecopia AI social profiles
Digital presenceEcopia AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Ecopia AI leadership team
Management profileNumber of profiles
Profiles6 records
Ecopia AI subsidiaries and ownership
Company hierarchySubsidiaries1 record
Ecopia AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Ecopia AI 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 Ecopia AI
What does Ecopia AI do?
Ecopia AI applies a proprietary imagery-agnostic deep-learning neural network to convert high-resolution geospatial imagery (satellite, aerial, drone, and street-view) into high-precision HD vector maps at scale, producing building footprints, 2D and 3D land cover, transportation features, and rooftop-level geocoded addresses with greater than 95% geometric accuracy. Its offering includes off-the-shelf data products (3D Land Cover, Advanced Transportation Features, Building-Based Geocoding), custom Global Feature Extraction services, and a self-service Data Portal delivered to governments, insurers, telecoms, civil engineers, and NGOs via direct sales, APIs, and a two-tier Imagery and Derivative partner network.
Is Ecopia AI a public or private company?
Ecopia AI is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Ecopia AI founded?
Ecopia AI was founded in 2013. It employs 11 to 50 people.
Where is Ecopia AI based?
Ecopia AI is headquartered in Toronto, Canada, in the North America region.
How does Ecopia AI make money?
Six revenue lines are on record. Off-the-shelf data sales via self-service portal is the primary driver. The others are custom Global Feature Extraction services, imagery Partner licensing (input imagery + AI conversion), derivative partner embedded data licensing, building-Based Geocoding data subscriptions and airbus imagery resale (certified reseller).
Who are Ecopia AI's main competitors?
Direct peers on record are Nearmap, Vantor (formerly Maxar Intelligence), Planet Labs and Mapbox. Broad incumbents are Airbus Defence and Space (including Pléiades), Esri, Hexagon (Geospatial division) and Google (Google Maps Platform / Google Earth Engine). Emerging players are BlackSky and Descartes Labs.
Does Ecopia AI have an API?
Yes. Ecopia offers an API as part of its Building-Based Geocoding product that lets partners query rooftop-level geocodes and building footprints; the API is referenced as easy-to-use with strong customer support, and data has also been delivered to enterprise customers (e.g., Network Rail) via API for downstream geospatial analysis and reporting. Authentication, rate limits, and versioning details are not specified in the available sources. Developer documentation is at platform.ecopiatech.com/login/data_portal.
What industry is Ecopia AI in?
Ecopia AI's product category is Geospatial Intelligence Software. Its primary akta.pro industry code is BPAMANAC, Geocoding, Search & Place Data Platforms, with a secondary code of HDAAAEAL, Remote Sensing & Geospatial Vision (satellite/drone imagery). Its NAICS code is 541360 and its SIC code is 7373.