What SeerAI does

SeerAI is a US-based enterprise software company founded in 2020 that develops Geodesic, a spatiotemporal data orchestration platform designed to connect fragmented, siloed enterprise data sources to AI systems without requiring data centralization. The platform is structured around three proprietary engines: Boson (a data mesh technology with a spatiotemporal content delivery network), Entanglement (a knowledge graph ontology that captures relationships, provenance, time, place, and meaning across data sources), and Tesseract (a spatiotemporal compute engine that runs AI and analytics on space and time data types). These are complemented by four platform capabilities (Unify, Contextualize, Harmonize, Deliver) and pre-built workflows including Zonal Statistics, Surface Change Detection, and Data Product Comparison. The company serves enterprises across defense and intelligence, energy infrastructure, supply chain and logistics, insurance and risk, agriculture and food security, and emergency response, positioning itself horizontally as a context layer for physical-world AI rather than as a vertical application. Notable technical demonstrations include processing over 1TB of Hurricane Ian aerial imagery in minutes during a 2023 disaster response deployment (featured by Forbes) and achieving up to 40% data cost reduction through intelligent deduplication of overlapping data products.

The company operates an enterprise direct sales motion with demo-based qualification forms and quote-based, negotiated pricing rather than publicly listed tiers, indicating subscription-based commercial contracts with large organizations. The platform is explicitly designed for interoperability with existing enterprise technology stacks including Esri, FME, Databricks, Google Cloud Storage, ERP systems, TMS, WMS, EDI feeds, telematics, and sensor platforms, positioning SeerAI as a layer that customers adopt alongside rather than in place of their existing infrastructure. The company maintains an active content and thought leadership presence through a company blog, a monthly newsletter for "people building at the edge," social channels across LinkedIn, X, Instagram, Medium, and Bluesky, and a developer documentation portal at docs.seerai.space.

SeerAI is led by three co-founders: Jeremy Fand (CEO), Daniel Wilson (CTO), and Rob Fletcher, PhD (Chief Scientist), and operates with a very small team of 1-10 employees from its headquarters in West Harrison, New York. The company has raised approximately $4 million in a single disclosed early-stage funding round in October 2023, led by Synovia Capital and Verteez with participation from Bobsled, K5 Global, OpAmp Capital, Promus Ventures, and Stellar Ventures. SeerAI is a privately held company with no disclosed revenue, customer count, valuation, or subsequent funding rounds in the available source material.

Name

SeerAI

Legal name

SeerAI Inc.

Website

https://seer.ai

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

1–10 employees

Short description

SeerAI provides the Geodesic platform for spatiotemporal data orchestration, enabling enterprises across defense, energy, supply chain, insurance, and emergency response to connect fragmented data sources to AI systems without centralization.

Ownership category

akta.pro rank

Product category

Geospatial Intelligence Software

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (54151)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Data Platform (Unified Data & Analytics) Suites (HDAEABAD)

akta.pro secondary industries

Connector/Adapter Frameworks & Integration Runtimes (HDAEACAJ), Real-Time / Streaming Data Warehousing (HDAEABAF)

Keywords

• Geospatial intelligence platform
• Spatiotemporal data orchestration
• Knowledge graph analytics
• Enterprise data fusion
• Satellite imagery processing

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Platform/SaaS Subscription: Enterprise platform subscription model with the Geodesic platform. The 'Book Demo' and enterprise sales motion suggest a subscription-based commercial model targeting enterprise buyers with quote-driven pricing rather than self-serve tiers.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels6 records

Core offering

SeerAI sells the Geodesic platform, a spatiotemporal data orchestration product that creates a virtual layer across an enterprise's distributed data sources so customers can query and share geospatial, sensor, and operational data without centralizing or duplicating it. The platform combines three engines — Boson (data mesh with spatiotemporal CDN), Entanglement (knowledge graph), and Tesseract (spatiotemporal compute) — and ships pre-built workflows (Zonal Statistics, Surface Change Detection, Data Product Comparison) sold as standalone solutions to enterprise buyers.

Product overview

SeerAI offers a unified platform architecture called Geodesic, which consists of three core engines—Boson (data mesh with spatiotemporal CDN), Entanglement (knowledge graph ontology), and Tesseract (spatiotemporal compute engine)—supported by four platform capabilities (Unify, Contextualize, Harmonize, Deliver) and pre-built workflows (Zonal Statistics, Surface Change Detection, Data Product Comparison). The platform is positioned as a horizontal data orchestration layer for physical-world AI, operating under the Knowledge as a Service paradigm. SeerAI is not in a vertical market but rather provides the foundational context layer that connects fragmented enterprise data across industries including defense, energy, supply chain, insurance, agriculture, and disaster response.

Differentiator

Problem solved

Functional benefit

Brands

• Geodesic: The core platform for data orchestration and spatiotemporal intelligence. A platform that treats data as a computable, contextual fabric connecting dynamic, distributed, and domain-specific information.
• Boson
• Entanglement
• Tesseract

Products and services

• Geodesic Platform Unified data orchestration platform that connects distributed enterprise data sources without requiring centralization, creates a persistent knowledge graph capturing relationships and spatiotemporal context, and provides a compute layer for reasoning over physical-world data at operational scale.
• Boson Engine Data mesh technology that accesses, transforms, and harmonizes data from virtually any geospatial data source, with a spatiotemporal CDN delivering content to virtually any system.
• Entanglement Engine Knowledge graph ontology that provides connections between data sources for both human discovery and as input to AI systems.
• Tesseract Engine Spatiotemporal compute engine that runs AI and analytics on space and time data types.
• Zonal Statistics Workflow

Quantifiable outcome

• Cut data costs by up to 40% while improving quality through intelligent comparison and deduplication of overlapping data sources
• +1 more outcomes

Named customers1 record

Segments7 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration12 records

AI capability12 records

Scale indicators4 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Palantir Technologies: Enterprise data platform with an ontology layer that connects distributed enterprise data — conceptually closest to SeerAI's Geodesic platform and knowledge graph. SeerAI's own blog explicitly references Palantir, signaling competitive overlap in the enterprise 'context layer' thesis.
• Databricks: Unified data analytics platform (Lakehouse) with growing geospatial capabilities via Mosaic AI and spatial SQL. SeerAI has used Databricks/Spark for HIFLD processing and competes for the same enterprise data platform budget; both target Fortune 500 and government buyers.
• Safe Software (FME): FME is a geospatial data integration platform with a strong interoperability stance across 450+ formats — directly parallel to SeerAI's Boson data mesh approach. Targets the same enterprise geospatial data preparation and harmonization use cases.
• Carto: Cloud-native location intelligence platform serving enterprise customers in supply chain, insurance, and CPG with spatial analytics and data enrichment. Directly comparable in customer profile and 'spatial data layer for enterprises' positioning.
• Precisely: Provides location data intelligence, geospatial software, and data enrichment for enterprise. Overlaps with SeerAI on integrating location context into enterprise data workflows for analytics and decisioning.
• Mapbox: Developer-first location platform providing geospatial visualization, routing, and analytics APIs to enterprise. Competes for the same geospatial context-layer budget and integrates many of the same data sources (satellite imagery, sensors, etc.).

Broad incumbents

• Esri: Dominant GIS/spatial analytics incumbent (ArcGIS) used across defense, energy, and government. SeerAI integrates with Esri rather than replacing it, but ArcGIS Knowledge and ArcGIS Online increasingly compete for the same spatial-context workflows.
• Hexagon AB: Large diversified geospatial solutions provider (hardware + software) with strong positions in defense, infrastructure, and industrial verticals. Much larger incumbent that competes broadly across SeerAI's target markets.
• Snowflake: Cloud data platform with growing geospatial capabilities (Snowpark, native GEOMETRY/GEOGRAPHY types, partnerships with Carto and Esri). Competes for the same enterprise data platform spend and could subsume parts of SeerAI's orchestration layer over time.

Emerging players

• Planet Labs: Earth observation platform with daily-satellite imagery and analytics APIs targeting defense, agriculture, and government. Adjacent rather than direct — competes for some of the same downstream use cases (surface change detection, commodity monitoring) but at the imagery-source layer rather than the orchestration layer.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/OfficialSeerAI
• LinkedInlinkedin.com/company/seerai-inc
• Instagraminstagram.com/seeraihq

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds1 record

Investors7 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 SeerAI