Biospheric Ai

What Biospheric Ai does

Biospheric AI is an MIT spin-off and Massachusetts-incorporated LLC founded in 2019 that applies geospatial AI to energy demand forecasting. The company's core technology combines remote sensing data with machine learning — specifically a novel framework integrating deep learning and Bayesian inference for multimodal data fusion — to produce probabilistic, hourly, building-level forecasts of electricity and heating demand. Inputs span satellite imagery, weather data, socioeconomic data, and utility meter data (smart meters, monthly billing records, spatially aggregated consumption), with outputs encoding physics- and economics-based constraints and explicit uncertainty quantification.

Biospheric AI operates two core products. The U.S. Power Sector Forecasting Platform delivers API-integrated, hourly building-level demand and grid stress forecasts to U.S. utilities facing demand surges from heating electrification, EV adoption, climate volatility, and data center growth, positioned as a replacement or augmentation for tools such as ResStock. Open Energy Maps (OEMaps) is an open-data platform providing building-level electricity access and demand estimates for emerging markets and developing economies (EMDEs), released under an Open Data Commons Open Database License with open-source code under an MIT License. A third capability covering EMDE Gross Regional Product (GRP) estimation extends the analytic surface into economic planning.

The business model combines professional-services consulting (custom analytics for utilities, government ministries, development finance institutions, and donor agencies) with subscription or usage-based revenue from the U.S. Power Sector API. Go-to-market is consultative and relationship-driven, anchored by research-credibility and partnerships with the IEA, MIT Energy Initiative, Energy for Growth Hub, MIT Kuo Sharper Center, and UMass Amherst, alongside accelerator affiliations including Greentown Labs, Cleantech Open, ACORE Accelerate, NSF I-Corps, and DeltaClimeVT. Pricing is not publicly disclosed; customer acquisition runs through direct outreach and email inquiry.

Name

Biospheric Ai

Legal name

Biospheric AI LLC

Website

https://biospheric.ai

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

1–10 employees

Short description

Biospheric AI is an MIT spin-off providing geospatial AI software and consulting services that produce probabilistic, hourly, building-level electricity and heating demand forecasts for U.S. utilities and emerging-market governments, development finance institutions, and energy investors.

Ownership category

akta.pro rank

Product category

Geospatial Energy Analytics Software

NAICS

Computer Systems Design and Related Services (54151), Computer Systems Design and Related Services (5415)

SIC

Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Forecasting & AI Optimization for Flexibility (Load/Price/Renewables/SoC) (EUAFAKAH)

akta.pro secondary industries

Remote Sensing & Geospatial Vision (satellite/drone imagery) (HDAAAEAL), Satellite Imagery & Remote Sensing Geospatial Platforms (BPAMANAM), AI/ML Engineering & Model Development Services (BPAEAHAF)

Keywords

• Geospatial analytics
• Energy demand forecasting
• Electricity access mapping
• Remote sensing analytics
• Machine learning consulting

Headquarters

HQ city

Somerville

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Others

Revenue model

1. Analytic Consulting Services: Domain expertise consulting services in energy infrastructure planning and regulation, serving utilities, governments, and development finance institutions with tailored geospatial analytics engagements.
2. Software/Analytics Platform: Forecasting platform providing probabilistic, hourly, building-level demand forecasts delivered via API integration with existing utility workflows. Revenue derived from software subscriptions or usage-based access to forecasting data.

Go-to-market motion1 record

Distribution channels3 records

Marketing channels4 records

Core offering

Biospheric AI develops geospatial AI software and analytic consulting services that combine remote sensing data with deep learning and Bayesian inference to forecast electricity and heating demand at the building level. The company delivers two core offerings: the U.S. Power Sector Forecasting Platform, which provides probabilistic hourly building-level demand and grid stress forecasts for utilities, and Open Energy Maps® (OEMaps), an open data platform providing building-level electricity access and demand estimates for energy planning in emerging markets and developing economies.

Product overview

Biospheric AI is an MIT spin-off providing geospatial AI analytics for infrastructure investment. The company offers two core products: the U.S. Power Sector Forecasting Platform for probabilistic hourly building-level demand forecasting in the United States, and Open Energy Maps® (OEMaps), an open data platform providing building-level electricity access and demand estimates in emerging markets and developing economies. Both products leverage remote sensing data and machine learning to deliver high-resolution energy demand intelligence.

Differentiator

Problem solved

Functional benefit

Brands

• Open Energy Maps®: Open data platform providing state-of-the-art building-level electricity access and demand estimates to enable energy planning optimization and investment de-risking in emerging markets and developing economies worldwide. Available under Open Data Commons Open Database License (OdBL) with open source code under MIT License.

Products and services

• U.S. Power Sector Forecasting Platform Probabilistic, hourly, building-level electricity and heating demand and grid stress forecasting platform for U.S. utilities; integrates remote sensing, weather, socioeconomic, and utility data to deliver high-resolution forecasts with uncertainty quantification via an API that replaces or augments legacy tools like ResStock.
• Open Energy Maps® (OEMaps)

Quantifiable outcome

• State-of-the-art heating and electricity demand estimates published in peer-reviewed research (MIT Energy Initiative, May 2025)

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature4 records

Partnerships

Ten partnerships are on record, tiered core, supporting and minor.

• MIT Kuo Sharper Center for Prosperity and EntrepreneurshipcoreStrategic or Co-development PartnerMIT Sloan center focused on prosperity and entrepreneurship, listed as collaborator and sponsor. Provides academic credibility and research partnership for MIT spin-off company.
• University of Massachusetts AmherstcoreStrategic or Co-development PartnerAcademic partner through the Manning College of Information and Computer Sciences, collaborating on geospatial analytics research and development.
• Energy for Growth HubcoreStrategic or Co-development PartnerNon-profit organization focused on modern energy access. CEO Stephen Lee serves as Director of Geospatial Analytics. Partnership for tracking Modern Energy Minimum and EMDE electricity planning.
• Greentown LabssupportingGTM or Marketing PartnerCleantech incubator providing startup support, resources, and network access for climate technology companies.
• Cleantech OpensupportingGTM or Marketing PartnerCleantech accelerator program supporting early-stage clean technology companies through mentorship and resources.
• ACORE AcceleratesupportingGTM or Marketing PartnerAmerican Council on Renewable Energy program supporting renewable energy companies through acceleration and networking.
• NSF I-CorpssupportingStrategic or Co-development PartnerNational Science Foundation innovation corps program providing entrepreneurship training and customer discovery support for scientific research-based startups.
• DeltaClimeVTminorGTM or Marketing PartnerClimate technology accelerator in Vermont supporting clean energy and climate-focused startups through mentorship and resources.
• International Energy Agency (IEA)coreStrategic or Co-development PartnerFeatured collaborator on Africa electricity access projects. IEA and Power Africa project supporting African governments with data-driven electrification programs. Company launched digital tools with IEA for energy planners in Africa.
• MIT Energy InitiativecoreStrategic or Co-development PartnerMIT research institute focused on energy. Published joint paper on state-of-the-art heating and electricity demand estimates using probabilistic deep learning (May 2025).

Scale indicators5 records

Recent moves6 records

Expansion highlights5 records

Broad incumbents

• Planet Labs: Operates a large commercial satellite constellation and offers geospatial analytics, including building footprint and land-use products. Comparable as a foundational remote sensing data and analytics provider that could expand into Biospheric AI's downstream applications.
• Maxar Technologies: Major satellite imagery and geospatial intelligence provider serving government and commercial customers with high-resolution earth observation data and analytics. Comparable as a broad incumbent in the geospatial data layer that Biospheric AI builds on.
• ESRI: Dominant GIS platform whose ArcGIS ecosystem underpins most geospatial workflows in utilities and government. Comparable as the incumbent platform layer where spatial analytics for energy planning are typically delivered and integrated.
• NREL (ResStock team): U.S. National Renewable Energy Laboratory produces ResStock, the free, government-backed residential building energy model Biospheric AI explicitly positions against. NREL is the closest substitute in the U.S. utility planning workflow and sets the baseline of expectations any commercial offering must beat.

Direct peers

• Descartes Labs: Geospatial analytics company that combines satellite imagery with machine learning to produce predictive intelligence, originally across agriculture and commodities and now expanding into energy and infrastructure. Closely comparable in the combination of remote sensing, ML, and infrastructure-sector applications.
• Rewiring America: Mission-driven organization building the data, policy, and tools to scale U.S. building electrification, including building-level electrification modeling. Comparable as an analytics-and-policy-oriented player serving the same U.S. electrification planning buyer.
• SparkMeter: Provides smart metering and energy data analytics for utilities and mini-grid operators in emerging markets, with a mission-driven focus on energy access. Comparable as an EMDE-focused energy data and analytics company addressing similar customer pain points around visibility into electricity demand.
• Vibrant Clean Energy: Provides high-resolution, geo-spatial grid planning and production cost modeling for utilities and regulators. Comparable in selling probabilistic, granular, geospatial energy analytics into the same utility planning and regulatory customer base.
• WattTime: Data analytics nonprofit/company focused on grid emissions, demand forecasting, and energy analytics using satellite and grid data. Comparable as a mission-driven geospatial analytics company serving utilities and policy audiences with machine learning-derived energy intelligence.

Emerging players

• The Crossover Group: Energy consultancy and analytics firm working on electricity access, mini-grid economics, and geospatial planning in emerging markets. Comparable as an adjacent EMDE-focused analytics and consulting player whose buyer base overlaps with Biospheric AI's government and DFI customers.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/biospheric-ai

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

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

M&A

Investments

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

Frequently asked questions about Biospheric Ai