About SeerAI

SeerAI provides a cloud-native platform, Geodesic, that integrates spatiotemporal data from various sources, enabling rapid analysis through a data fusion engine. This technology allows decision-makers to access and organize complex data efficiently, facilitating informed conclusions in seconds.

```xml <problem> Analyzing spatiotemporal data from disparate sources is complex and time-consuming, hindering decision-makers who need rapid insights. Existing solutions often struggle to efficiently access, organize, and analyze diverse data types, leading to delays and suboptimal conclusions. </problem> <solution> SeerAI's Geodesic platform provides a cloud-native data fusion engine that simplifies working with complex spatiotemporal data, enabling users to gain actionable insights quickly. The platform integrates data from various sources, transforming and harmonizing it through data mesh technology. A knowledge graph organizes the data, providing connections between sources for discovery. The spatiotemporal compute engine then runs AI and other analytics, allowing users to answer complex questions related to space and time. </solution> <features> - Data mesh technology for accessing, transforming, and harmonizing data from various sources - Knowledge Graph to provide connections between data sources for enhanced discovery - Spatiotemporal compute engine for running AI and other analytics on space and time - Plug-and-play integrations for accessing exabytes of data - Python API for processing data - Ability to connect to Snowflake, AWS, Google Cloud, and Google Earth Engine </features> <target_audience> SeerAI targets decision-makers in GIS, government, data science, and ESG roles who require rapid analysis of complex spatiotemporal data to inform their conclusions. </target_audience> ```

What does SeerAI do?

Where is SeerAI located?

SeerAI is based in Redlands, United States.

When was SeerAI founded?

SeerAI was founded in 2020.

How much funding has SeerAI raised?

SeerAI has raised 4000000.

Location

Redlands, United States

Founded

2020

Funding

4000000

Employees

16 employees

Major Investors

Synovia Capital, Verteez LLC

Find Investable Startups and Competitors

Search thousands of startups using natural language

AI voice (2021+)underground pipe robots energy flexibility software

Start Searching

SeerAI

⚠️ AI-generated overview based on web search data – may contain errors, please verify information yourself! You can claim this account with your email domain to make edits.

Executive Summary

seer.ai 1K+

Crunchbase

Founded 2020 – Redlands, United States

Funding

Estimated Funding

$3M+

Major Investors

Synovia Capital, Verteez LLC

Team (15+)

No team information available.

Company Description

Problem

Analyzing spatiotemporal data from disparate sources is complex and time-consuming, hindering decision-makers who need rapid insights. Existing solutions often struggle to efficiently access, organize, and analyze diverse data types, leading to delays and suboptimal conclusions.

Solution

SeerAI's Geodesic platform provides a cloud-native data fusion engine that simplifies working with complex spatiotemporal data, enabling users to gain actionable insights quickly. The platform integrates data from various sources, transforming and harmonizing it through data mesh technology. A knowledge graph organizes the data, providing connections between sources for discovery. The spatiotemporal compute engine then runs AI and other analytics, allowing users to answer complex questions related to space and time.

Features

Data mesh technology for accessing, transforming, and harmonizing data from various sources

Knowledge Graph to provide connections between data sources for enhanced discovery

Spatiotemporal compute engine for running AI and other analytics on space and time

Plug-and-play integrations for accessing exabytes of data

Python API for processing data

Ability to connect to Snowflake, AWS, Google Cloud, and Google Earth Engine

Target Audience

SeerAI targets decision-makers in GIS, government, data science, and ESG roles who require rapid analysis of complex spatiotemporal data to inform their conclusions.