What Spacept does

Spacept is a Stockholm-based, privately held AI company founded in 2019 that applies proprietary computer vision models to high-resolution satellite imagery for infrastructure inspection. The company's product surface spans four core verticals — electricity transmission/distribution lines, oil and gas pipelines, railway corridors, and road networks — together with ancillary offerings including faulty street-light detection, building detection for damage assessment, deforestation/afforestation tracking, and oil-spill mapping. Its technical stack is built around custom-trained convolutional neural networks fine-tuned to satellite resolutions of up to 50cm, supported by purpose-built components such as a Tree/Vegetation Detector, Leak Detection algorithm, Change Detector, and Image Augmentor (histogram normalization and speckle/grain denoising). Models are continuously improved through an in-house training pipeline that ingests feedback from new project data, and the system is delivered as a cloud-based SaaS dashboard alongside per-kilometer analytics output.

Spacept's commercial model combines a usage-based per-kilometer price point (publicly disclosed at $5/km, roughly half the cost of drone inspection and a quarter of helicopter inspection) with SaaS-style subscriptions and joint revenue-sharing arrangements with partner startups and drone service providers (notably Sterblue). Its go-to-market blends direct enterprise field sales (Book-a-Demo motion), channel partnerships with drone/UAV inspection firms, and accelerator/competition-driven visibility (Antler, ESA BIC, MassChallenge, Google for Startups SDG Accelerator, Copernicus, Katapult Space, Oslo Innovation Week). The customer base is weighted toward utility and pipeline operators, with a flagship public case study featuring PG&E's Dixie Fire vegetation encroachment analysis serving as the principal enterprise reference.

Operationally, Spacept maintains a distributed, open-innovation model — roughly 35–38 team members across 15–16 countries, many contributing part-time or on a volunteer basis — and operates from Stockholm (headquarters), Brooklyn (US regional HQ), and Oslo. Total disclosed equity and grant funding through 2021 was approximately $344k in named rounds ($110k Antler 2019; $55k ESA BIC May 2020; $150k MassChallenge June 2020; $29k unknown July 2021), with a $500k Seed round publicly noted as being raised in 2020. Production capacity is stated at 35,000+ km of infrastructure annually, with stated annual throughput ambitions in the millions of kilometers on a recurring basis.

Name

Spacept

Legal name

Spacept

Website

https://spacept.com

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

11–50 employees

Short description

Spacept is a Stockholm-based AI company that applies proprietary computer vision to high-resolution satellite imagery to inspect electricity, pipeline, railway, and road infrastructure. Founded in 2019, it sells per-kilometer analysis and SaaS subscriptions to utility and infrastructure operators globally.

Ownership category

akta.pro rank

Product category

Satellite-based Infrastructure Inspection Software

NAICS

Surveying and Mapping (except Geophysical) Services (541370), Geophysical Surveying and Mapping Services (54136)

akta.pro primary industry

Satellite Imagery & Remote Sensing Geospatial Platforms (BPAMANAM)

akta.pro secondary industries

Remote Sensing & Geospatial Vision (satellite/drone imagery) (HDAAAEAL), Remote Sensing & Geospatial MRV (Satellite, Aerial, LiDAR, SAR) (EUABACAF), Satellite/Aerial/Remote Sensing MRV (Methane plumes, land-use change) (EUAHADAL)

Keywords

• Satellite image analysis
• Infrastructure inspection
• Vegetation management
• Pipeline leak detection
• Computer vision AI

Headquarters

HQ city

Stockholm

HQ country

Sweden

HQ region

Europe

Offices3 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Operations, Marketing or Sales, Supply Chain, Infrastructure

Revenue model

1. Per Kilometer/Square Kilometer Inspection: Spacept offers infrastructure inspection services priced per kilometer or per square kilometer. The company provides analysis of hundreds of thousands of kilometers of power lines annually. Pricing of $5 per kilometer is significantly lower than drone ($10) and helicopter ($20) inspection alternatives.
2. SaaS Dashboard Subscription: Software platform with specialized computer vision systems delivered as a service. The analytics product is tailored for powerline maintenance companies with recurring analysis capabilities.
3. Joint Revenue Sharing with Partners: Partnering with startups to reach initial customers on a shared revenue basis enables fast iteration while accessing long-term contracts. This open innovation business model compensates for slow B2B sales cycles in the powerline industry.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels6 records

Core offering

Spacept provides a SaaS platform that uses proprietary computer vision and machine learning models to analyze high-resolution satellite imagery for automated inspection of critical infrastructure. Core capabilities include vegetation encroachment detection on powerlines, pipeline leak detection, railway and road vegetation monitoring, faulty street light detection, oil spill mapping, and building damage assessment. The service is sold primarily to utility, oil & gas, railway, and road infrastructure operators on a per-kilometer or subscription basis, often as a first-pass screening layer that complements drone and helicopter inspections.

Product overview

Spacept is a satellite-powered AI infrastructure inspection platform. The core offering combines high-resolution satellite imagery with proprietary computer vision and machine learning algorithms to automatically detect risks to critical infrastructure including vegetation encroachment, leaks, and damage. The platform serves multiple infrastructure verticals (electricity/powerlines, pipelines, railways, roads, street lights) through distinct but related product lines that share the underlying satellite imagery analysis technology and AI/ML detection capabilities.

Differentiator

Problem solved

Functional benefit

Products and services

• Electricity Infrastructure Analysis AI-powered satellite imagery analysis for electricity infrastructure, focusing on vegetation encroachment detection near powerlines, risk level assessment, vegetation growth tracking, individual tree height estimation, and geolocation of energy assets. Built for utility companies and powerline operators responsible for transmission and distribution corridors.
• Pipeline Infrastructure Analysis Satellite-based analysis for pipeline infrastructure including oil and water leak detection, right-of-way encroachment monitoring, greenhouse gas pipeline leakage mapping, vegetation growth tracking, and vegetation encroachment detection around pipelines. Built for oil & gas and water pipeline operators.
• Railway Infrastructure Analysis AI-powered vegetation inspection solution for railway lines using satellite imagery to detect vegetation threats, fallen trees, and storm damage in remote and forested areas. Built for railway operators to protect travelers and supply chains.
• Road Infrastructure Analysis Satellite imagery analysis for road infrastructure including damage assessment, vegetation encroachment detection, tree cutting and illegal deforestation detection, and vegetation growth and health monitoring around roads. Built for road authorities and infrastructure operators.
• Leak Detection AI-automated satellite leak detection for pipeline infrastructure using Spacept's proprietary computer vision AI engine. Detects leaks to help operators avoid losses, prevent fines, and limit damage to structures, wildlife, water supplies, and ecosystems.
• Powerline Inspection Custom machine learning models that automatically detect vegetation encroachment near powerlines and assign risk levels based on project requirements, using fresh satellite footage to monitor vegetation proximity threats.
• Faulty Street Light Detection Automated detection of faulty street lights using nighttime satellite imagery combined with a custom-built change detection algorithm. Alerts operators when and where lights are not functioning, applicable in urban and rural settings.
• Deforestation & Afforestation Tracking Change detector model that analyzes before/after satellite images to detect whether trees have been cut or not within specified parameters, supporting deforestation and afforestation tracking use cases.
• Oil Spill Detection & Mapping Radar satellite imagery-based detection and mapping of oil spills to enable fast detection and mitigation of spill events.
• Building Detector Building detection model using convolutional neural network algorithms for natural disaster damage assessment, building counting, and monitoring of building landscapes.
• Satellite Integration Solution for Helicopter and UAV Methods Integration service combining Spacept's satellite + AI analysis with UAV and helicopter inspection methods. Provides broader network monitoring, increased data collection, emergency assistance deployment, and cost optimization for aerial inspection operations.

Quantifiable outcome

• 80% reduction in drone operating costs when using satellite-based analysis as first step in inspection workflow
• +4 more outcomes

Named customers2 records

Segments4 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature6 records

Scale indicators8 records

Recent moves7 records

Expansion highlights6 records

Direct peers

• LiveEO: LiveEO applies AI to satellite imagery for infrastructure and environmental monitoring, with direct overlap in vegetation encroachment and pipeline right-of-way use cases — the closest direct competitor to Spacept in the satellite-based infrastructure inspection category.
• Overstory: Overstory uses satellite imagery and AI for vegetation management around powerlines and other utility infrastructure, directly addressing the same primary customer segment (utilities) and same problem (vegetation risk) as Spacept.

Emerging players

• Near Earth Autonomy: Near Earth Autonomy provides autonomous drone-based infrastructure inspection; competes with Spacept's helicopter/drone integration services at the higher-resolution end of the same inspection workflow.
• Picterra: Picterra is a geospatial AI platform enabling users to train and deploy models on satellite and aerial imagery — a horizontal competitor whose platform approach overlaps with Spacept's proprietary CV models for infrastructure.
• Satelligence: Satelligence applies satellite-based monitoring for deforestation and commodity supply chain compliance — overlapping with Spacept's deforestation tracking and environmental MRV product lines under a similar technology stack.
• Sterblue: Sterblue is a drone inspection software platform that has integrated Spacept's satellite analysis as a first-pass screen; a complementary partner but also a potential competitor in the inspection analytics stack.
• SkyWatch: SkyWatch provides satellite data aggregation and analytics APIs; competes in the satellite-based geospatial data and analytics platform category with potential overlap in infrastructure monitoring use cases.

Broad incumbents

• Orbital Insight: Orbital Insight is a well-funded geospatial analytics platform applying AI to satellite imagery across multiple verticals including energy and infrastructure — a broad incumbent offering overlapping capabilities as part of a wider portfolio.
• EOS Data Analytics: EOS Data Analytics provides satellite imagery-based solutions for agriculture, forestry, and infrastructure monitoring; competes in the broader geospatial AI platform category with overlapping change-detection capabilities.

Others

• Planet Labs: Planet Labs is both a data partner to Spacept and a satellite imagery provider with its own analytics roadmap; represents both an upstream supplier dependency and a potential vertical-integration risk.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/SpaceptAI
• Facebookfacebook.com/SpaceptAI
• LinkedInlinkedin.com/company/spacept

Revenue estimate

Valuation estimate

Number of profiles

Profiles7 records

Funding overview

Funding rounds4 records

Investors3 records

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 Spacept