Spatial.ai is a pioneering company that leverages advanced AI algorithms to curate unstructured data gleaned from social media to create real-time predictive analytics. The core concept of the company is to delve deeper into the customers' human layer beyond demographics and surveys to build market segments that are more relatable for businesses to understand. The firm started by partnering with Ford to construct navigation systems, and since then, it has won various accolades, including the Realcomm IBcon 2019 Digie Award.
The firm specializes in creating geosocial data sets by categorizing billions of unstructured data points that provide business insights and trend predictions based on human behavior trends mined from their online behavior, social media activity, and other factors.
Spatial.ai has been successful in creating data-driven decisions and making personalized audience targeting achievable. The company offers innovative datasets that reveal trends and predict behavior, making it possible for companies to make informed decisions about their operations. Spatial.ai's main objective is to understand that customers have a broad range of interests beyond demographics.
TLDR
Spatial.ai is a pioneering company that offers innovative datasets and advanced AI algorithms to create real-time predictive decisions. By categorizing billions of unstructured social media data points into quantifiable people and places segments, Spatial.ai reveals trends and predicts behavior to make data-driven decisions across multiple sectors.
The company's datasets reveal trends leading to personalized audience targeting and in-depth market analysis. Spatial.ai is committed to understanding consumers beyond demographics and offers highly scalable and easily integrable business solutions that utilize APIs from various platforms such as Microsoft Teams, Slack, and Google Drive.
Company Overview
Spatial.ai is an innovative company that harnesses the unstructured data shared by billions of people on social media to create real-time predictive decisions. Starting with the insight that demographics and surveys were not enough to understand customers, Spatial.ai set out to build a dataset that reveals the "human layer."
By utilizing advanced AI algorithms, Spatial.ai categorizes billions of unstructured data points into quantifiable people and places segments, known as Geosocial data. The information collected reveals trends and predicts behavior, making it possible for hundreds of companies to make data-driven decisions.
One of the company's early accomplishments was contracting with Ford to build navigation systems. Spatial.ai has won numerous awards, including the Realcomm IBcon 2019 Digie Award Winner-Audience Favorite, Judges' Favorite.
Since then, the company has expanded its operations and announced $2.1 million in funding led by Serra Ventures. Geosocial Proximity dataset measuring geotagged activity in an area was released, and eight analytics partners launched it. Eventually, the dataset had been beneficial to over 100 retailers and restaurant owners.
The PersonaLive™ segmentation system was released after Spatial.ai discovered a technique to anonymously redistribute data points to home block groups at scale.
What sets Spatial.ai apart is its commitment to understanding that people are much more than their demographics. The company fully believes in a future where cities and commerce are designed for the humans that live in them, and they continue to work to make that vision a reality.
Features
Geosocial Data Collection
Categorization of Unstructured Data
Spatial.ai uses advanced AI algorithms to categorize billions of unstructured data points into quantifiable people and places segments, known as Geosocial data. This data is collected from social media and other online sources, and then used to reveal trends and predict behavior. By analyzing this data, hundreds of companies are able to make data-driven decisions about their business.
Real-time Predictive Decisions
Thanks to the geosocial data collected by Spatial.ai, real-time predictive decisions can be made by companies. This is because the data is constantly updated, which allows for close-to-instant trend identification and behavior prediction. This real-time data can be used in a number of ways, such as to optimize sales, enhance brand awareness, and identify emerging market trends.
Demographic Insights
While Spatial.ai acknowledges that demographics alone do not offer a complete understanding of customers, the company's geosocial data collection allows for the gathering of demographic insights. This information can be used to create a more complete picture of consumer behavior, enabling businesses to tailor their messaging and offerings to specific groups of people.
PersonaLive™ Segmentation System
Redistribution of Data Points
Spatial.ai's PersonaLive™ segmentation system was created after the company discovered a technique for anonymously redistributing data points to home block groups at scale. This segmentation system allows for extremely specific audience targeting, by taking into account not only demographic information, but also online behavior and other factors. This system has been used to great success by retailers and restauranteurs who are looking to reach specific audiences.
Scalable Audience Segmentation
The PersonaLive™ segmentation system is designed to be scalable, meaning that it can be used for audience segmentation on a variety of levels. This includes both hyper-local targeting, such as advertising to residents of a specific zip code, as well as more general targeting, such as advertising to people who have checked into a certain type of business on social media. This scalable approach allows businesses of all sizes to benefit from Spatial.ai's technology.
Extremely Precise Audience Targeting
Thanks to its ability to take into account a wide range of factors, including both online and offline data, the PersonaLive™ segmentation system offers extremely precise audience targeting. This means that businesses can be sure that their messaging is being seen by the people who are most likely to be interested in it, leading to better engagement and ultimately, better sales.
Geosocial Proximity
Measure Geotagged Activity in an Area
Spatial.ai's Geosocial Proximity dataset measures geotagged activity in a specific area. By analyzing social media activity and other online data, the dataset is able to provide insights into where people are gathering, what they are doing, and what they are saying. This information can be vital for event planning, business optimization, and other uses.
Affordable and Accessible
Unlike some other geosocial datasets, Spatial.ai's Geosocial Proximity is affordable and accessible. This means that even small businesses can benefit from the insights provided by the data. In fact, over 100 retailers and restaurant owners have already used the data to enhance their business operations.
Easy to Integrate with Existing Systems
The Geosocial Proximity dataset is designed to be easy to integrate with a wide range of existing systems, including marketing automation software, CRM systems, and others. This means that businesses can start leveraging the data quickly, without the need for expensive or time-consuming setup processes.
Data-driven Decision Making
Advanced Analytics
Spatial.ai prides itself on offering advanced analytics, which allow businesses to make data-driven decisions with confidence. By taking into account large amounts of data, including both structured and unstructured data, Spatial.ai's analytics provide a complete and accurate understanding of consumer behavior.
Real-time Tracking
One of the advantages of Spatial.ai's advanced analytics is that they provide real-time tracking of consumer behavior. This means that businesses can quickly respond to emerging trends and adjust their strategies as needed. By doing so, they can stay ahead of the competition and be better positioned for success.
Customizable Dashboards
Spatial.ai's analytics come with customizable dashboards, which allow businesses to see the data that is most relevant to their specific needs. This makes it easy to quickly identify trends and patterns, and to adjust strategies accordingly. Additionally, these dashboards are easy to use and offer a great user experience.
Commitment to Understanding Human Behavior
Focus on the "Human Layer"
What sets Spatial.ai apart from many other AI-driven companies is its focus on the "human layer." The company recognizes that people are much more than their demographics, and seeks to provide a more complete picture of consumer behavior by taking into account a wide range of factors. This human-focused approach is reflected in all aspects of the company's technology.
Vision for the Future
Spatial.ai's commitment to understanding human behavior is driven by a vision for the future in which cities and commerce are designed for the humans that live in them. The company believes that by taking a more holistic view of consumer behavior, businesses can create more engaging experiences and more profitable outcomes. This vision guides all of Spatial.ai's technology and business decisions.
Innovative Technology
Spatial.ai's commitment to understanding human behavior is reflected in the company's innovative technology, which goes beyond traditional demographic data collection to analyze online behaviors, social media activity, and more. By taking a more holistic approach to understanding consumers, Spatial.ai is able to provide deeper insights and better outcomes for businesses of all sizes.
Integrations
Spatial is an AI-powered tool that provides you with comprehensive workplace planning solutions. It offers flexible integrations with various application programming interfaces (APIs) that can help you optimize your workspace and increase employee engagement, satisfaction, and productivity.
Microsoft Teams Integration
Spatial offers an integration with Microsoft Teams, which is a popular collaboration platform widely used by many organizations worldwide. With this integration, you can create a virtual meeting room in Spatial from within Teams, making it easier to initiate a virtual space and share information with colleagues. Teams users can also join Spatial meetings directly from the app, without having to move between different platforms.
Slack Integration
With Spatial's Slack integration, you can easily start a Spatial session with your team members without leaving the Slack workspace. You can use this integration to initiate a virtual meeting room, so you can share content and interact with team members using 3D avatars. This helps improve collaboration and communication, as well as streamline work processes for more productivity.
Zoom Integration
Spatial's Zoom integration allows you to launch Spatial's 3D meetings by simply clicking a button inside Zoom. This enables a seamless transition from video calls to VR sessions, making it easier to collaborate and interact with team members in a more immersive way. With Spatial and Zoom, team members can join a 3D meeting with just one click, without any additional setup.
Jira Integration
Spatial's Jira integration provides a more visual way of managing tasks and projects for your team, making it easier to collaborate and prioritize tasks. With this integration, you can visualize your project plans in a 3D context, and review and analyze them in real-time with your team members. This helps improve task management, communication, and productivity.
Google Drive Integration
Spatial's integration with Google Drive allows you to quickly access and share documents, spreadsheets, slides and more in a collaborative 3D environment. With this integration, you can import Google Drive files directly into Spatial, and collaborate with your team members more effectively. This integration provides a more immersive way to work on documents, ideal for brainstorming, design thinking sessions or project management.
FAQ
What is Spatial.ai?
Spatial.ai is an innovative company that utilizes advanced AI algorithms to categorize billions of unstructured data points from social media into quantifiable people and places segments, also known as Geosocial data. This insight reveals trends and predicts behavior, leading to data-driven decisions for businesses in numerous industries towards understanding that people are much more than their demographics.
How does Spatial.ai work?
Spatial.ai utilizes advanced AI algorithms to categorize billions of unstructured data points from social media into quantifiable people and places segments, also known as Geosocial data. This data is then used to reveal trends and predict behavior, leading to data-driven decisions for businesses in various industries.
What sets Spatial.ai apart from its competitors?
Spatial.ai differs from its competitors in that it is committed to understanding that people are much more than their demographics and builds datasets proved complete insights. Spatial believes in a future where cities and commerce are designed for the humans that occupy them. Additionally, Spatial.ai has won numerous awards, including the Realcomm IBcon 2019 Digie Award Winner-Audience Favorite, Judges' Favorite due to its commitment to creating a sustainable future.
What are the benefits of using Spatial.ai?
Spatial.ai provides data-driven decisions for businesses in numerous industries as a result of its insight from the advanced AI algorithms that categorize billions of unstructured data points from social media into quantifiable people and places segments, also known as Geosocial data. The data is utilized to reveal trends, predict behavior, and help businesses change their with a people-centred focus. Additionally, the datasets prove to be extremely beneficial for over 100 retailers and restaurant owners, among other industries.
What type of industries can benefit from Spatial.ai?
Spatial.ai can be beneficial for industries in the tech, retail, and restaurant sectors to name a few. By categorizing billions of unstructured data points from social media into quantifiable people and places segments also known as Geosocial data, insights drawn from it can help these industries change their with a people-centered focus. The insight reveals trends and predicts behavior, leading to data-driven decisions in numerous industries that are more than just demographics.
