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SeerAI develops high-performance infrastructure engineered to ingest, explore, and operationalize massive datasets, with a particular emphasis on spatiotemporal information. The company's technology transforms diverse, complex data into AI-ready intelligence, enabling organizations to manage and leverage vast information streams with unprecedented speed and scale. Its core offering provides the foundational capabilities for sophisticated analytical and machine learning applications.
The company was founded in 2020 by Jeremy Fand, who serves as its Co-Founder and CEO. SeerAI originated from the critical observation that many organizations face significant challenges in connecting fragmented, incompatible, and siloed data sources to modern artificial intelligence systems in an efficient and meaningful way. Fand's vision was to bridge this gap, providing a robust solution for data integration and preparation.
SeerAI's product caters to enterprises grappling with voluminous and intricate data, especially those with significant geospatial components. The company’s long-term vision centers on empowering these organizations to unlock the full potential of their data assets by facilitating seamless integration into AI workflows. This approach allows users to extract timely, actionable insights from their most demanding data environments, driving informed decision-making.
SeerAI has raised $4.0M across 1 funding round.
SeerAI has raised $4.0M in total across 1 funding round.
SeerAI has raised $4.0M in total across 1 funding round.
SeerAI's investors include Atomic, BoxGroup, Brainchild, Brewer Lane Ventures, FirstMark Capital, Flyover Capital, F-Prime Capital Partners, Great North Ventures, Promus Ventures, SOSV, Techstars, Vista Equity Partners.
SeerAI has raised $4.0M across 1 funding round. Most recently, it raised $4.0M Seed in October 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Oct 1, 2023 | $4M Seed | — | Atomic, BoxGroup, Brainchild, Brewer Lane Ventures, FirstMark Capital, Flyover Capital, F Prime Capital, Great North Ventures, Promus Ventures, SOSV, Techstars, Vista Equity Partners, BOB Pasker, Daren Cotter, Steve Martocci | Announced |
SeerAI is a technology company founded in 2020 and based in Redlands, United States, that builds Geodesic, a cloud-native platform for integrating and analyzing spatiotemporal data from diverse sources.[1][2] Geodesic uses data mesh technology (Boson), knowledge graphs (Entanglement), and a spatiotemporal compute engine (Tesseract) to fuse, harmonize, and process massive datasets—enabling rapid AI-driven insights on "what happened, where, and when."[1][2] It serves decision-makers in GIS, government, data science, and ESG roles, solving the challenge of unifying complex geospatial data from satellites, sensors, and platforms like Snowflake, AWS, Google Cloud, and Google Earth Engine into actionable intelligence in seconds.[1][2] With $4M+ in funding from investors like Synovia Capital and Verteez LLC, and 16 employees, SeerAI demonstrates early growth in handling exabyte-scale data via plug-and-play integrations and Python APIs.[1]
SeerAI was founded in 2020 in Redlands, California, amid the explosion of spatiotemporal data from satellites and sensors, which traditional tools struggled to unify.[1][2] The core idea emerged from addressing "friction cycles" in legacy tech stacks for AI engineering and knowledge graphs, as highlighted in their March 2025 ArcGIS StoryMap presentation.[6] Early traction likely built on expertise in geospatial tech, given the Redlands location near Esri's headquarters, evolving into Geodesic to treat data as a "computable, contextual fabric" for agentic AI and LLMs.[2] Pivotal moments include securing $4M from Synovia Capital and Verteez LLC, scaling to 16 employees, and public demos emphasizing unprecedented speed and efficiency in data orchestration.[1][2]
(Note: A separate product, SEERai by Galorath launched in October 2025, targets cost estimation in defense/aerospace but is distinct from this SeerAI.[3])
SeerAI rides the spatiotemporal data explosion trend, fueled by satellite imagery, IoT sensors, and agentic AI/LLMs needing high-quality, contextual inputs—data volumes growing exponentially but hard to process with legacy GIS tools.[2] Timing is ideal post-2020, aligning with AI infrastructure demands and cloud-native shifts, as seen in their 2025 StoryMap on overcoming "friction cycles" in AI engineering.[6] Market forces like ESG reporting, government analytics, and climate monitoring favor them, positioning Geodesic as infrastructure for "living mesh" data that powers discovery in defense, urban planning, and beyond.[1][2][5] They influence the ecosystem by modernizing geospatial stacks, enabling startups and enterprises to act on massive datasets at scale.
SeerAI is poised to expand Geodesic's role in AI data pipelines, targeting deeper integrations with LLMs and agentic systems amid rising spatiotemporal demands from climate tech and smart cities. Trends like multimodal AI and real-time global sensing will accelerate growth, potentially drawing more VC amid their $4M seed momentum. Their influence may evolve from niche geospatial enabler to core infrastructure player, humanizing complex data for decisions that shape emerging tech dynamics—starting with a platform that turns chaos into clarity.[1][2][5]
