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Top SPOL Alternatives, Competitors & Similar Software

Founded 2006

Find 20 competitors in the Analytics Platforms. Compare other SaaS such as Vēmos, Plural AI and Aggregate Singularity. These SPOL competitors have raised $50K and together serve more than - customers and employ over 240 team members.

Compare SPOL with Vēmos
1
Vēmos

Analytics Platforms

We at Vēmos envision a world where going out is your most personal experience. We believe that going out to a restaurant or even attending a concert should not be an out-of-the-box experience. When we sit down and look at a menu, we should each see different items based on our dietary preferences and products we consume. We should receive different offers based on our past purchases, frequency of visits, and interests. We should be alerted of different performing artists based on the types of music or performances we enjoy. That’s why we built Vēmos We are on a mission to build an ecosystem that connects consumers to the hospitality venues they frequent as well as the brands they consume during their visits. We do this through a digital wallet that remembers your own habits across all establishments, backed by a customer data platform that empowers brands & venues to deliver personalized experiences. With one universal app, consumers can manage loyalty, redeem offers, and make payments at venues across the nation. And for the first time, they’ll be able to engage with and be rewarded for consuming the brands they love.

Revenue
$1.3M
Customers
-
Year founded
2013
Funding
-
Team size
12
Location
United States
Compare SPOL with Plural AI
2
Plural AI

Analytics Platforms

Businesses use only a fraction of the data they need to make financial decisions because that data is difficult to retrieve and analyse at scale. As a result, most financial analysis is wrong. We’re building a new kind of tool called a knowledge engine, for the finance industry. We're starting with deal origination and monitoring for corporate finance clients (e.g. PE/M&A). Over time we're aiming to build an AI-enabled financial analysis platform, changing not only the way the data is represented on the back-end, but also how users interact with it on the front-end. We are backed by deep-tech incubator Entrepreneur First, celebrated fintech VC Speedinvest (Tide, Curve, N26), and specialist machine learning investor AI Seed. Come reinvent knowledge work with us.

Revenue
$1.3M
Customers
-
Year founded
-
Funding
-
Team size
12
Location
United Kingdom
Compare SPOL with Plural AI
5
Plural AI

Analytics Platforms

Businesses use only a fraction of the data they need to make financial decisions because that data is difficult to retrieve and analyse at scale. As a result, most financial analysis is wrong. We’re building a new kind of tool called a knowledge engine, for the finance industry. We're starting with deal origination and monitoring for corporate finance clients (e.g. PE/M&A). Over time we're aiming to build an AI-enabled financial analysis platform, changing not only the way the data is represented on the back-end, but also how users interact with it on the front-end. We are backed by deep-tech incubator Entrepreneur First, celebrated fintech VC Speedinvest (Tide, Curve, N26), and specialist machine learning investor AI Seed. Come reinvent knowledge work with us.

Revenue
$1.3M
Customers
-
Year founded
-
Funding
-
Team size
12
Location
United Kingdom
Compare SPOL with LevelFields
6
LevelFields

Analytics Platforms

LevelFields helps stock and options traders leverage AI to automate investment research, find the best stocks faster, monitor more stocks easily, and improve decision-making. By providing stock forecasts, stock and options traders can better pinpoint their entry and exit points to make more money and lose less.

Revenue
$1.3M
Customers
-
Year founded
-
Funding
-
Team size
12
Location
United States
Compare SPOL with Kortical
8
Kortical

Analytics Platforms

Kortical - end to end ML platform - editable in code, built for data scientists to assist with preparing data, building ML models, deploying scalable models with a few clicks and managing them with ML Ops functionality. Kortical is different as it is built with transparency and control, where the code is editable vs hidden behind a UI. Some of the unique tools are, scoring the model improvement when you build new features before you build the model, explainability on DNN for NLP back into text and app hosting for easy scalable ML solutions. Kortical is an intuitive, code optional, platform that is enjoyable to use as it works with your current workflow vs hiding it behind a clunky web app.

Revenue
$1.3M
Customers
-
Year founded
2016
Funding
-
Team size
12
Location
United States
Compare SPOL with vogsy.global
9
vogsy.global

Analytics Platforms

All–in-one CRM and ERP for global project teams. Multiple countries, multiple currencies, one resource pool. VOGSY makes it easy to set up new countries, track international projects, and connect multiple local finance packages. Create your Single Source of Truth with unparalleled speed and ease.

Revenue
$1.3M
Customers
-
Year founded
2015
Funding
-
Team size
12
Location
Netherlands
Compare SPOL with Workship Inc.
10
Workship Inc.

Analytics Platforms

Tacitbase is an Applicant Tracking System tailored for tech innovators, simplifying tech hiring with agility and smart integration, like Slack for feedback. Start hiring in 30 minutes with actionable insights and robust tools.

Revenue
$1.3M
Customers
-
Year founded
-
Funding
-
Team size
12
Location
United States
Compare SPOL with Supercharger
11
Supercharger

Analytics Platforms

Supercharger leverages advanced large language models to automate prior art searches, generate invalidity charts, and auto-generate claims from patent applications. Instantly execute searches and create meta tags within our system using our fine tuned models.

Revenue
$1.3M
Customers
-
Year founded
2020
Funding
-
Team size
12
Location
United States
Compare SPOL with Crata AI
12
Crata AI

Analytics Platforms

Driving Business Growth and Operational Efficiency with Applied AI

Revenue
$1.3M
Customers
-
Year founded
2023
Funding
-
Team size
12
Location
Spain
Compare SPOL with ekai
13
ekai

Analytics Platforms

Enterprise data is typically fragmented, leading to inefficiencies in accessing and processing it. With AI-enabled DataOps automation, ekai is transforming the way organizations utilize their data. Every day, we enable tech and non-tech teams to take charge of their data with automated data operations. Instead of investing heavily and waiting for months, enterprises save time and money with ekai’s automated, quality-assured DataOps. ekai is the only tool your data needs, speeding up time to value and leveraging your data to enable context-driven AI use cases.

Revenue
$1.3M
Customers
-
Year founded
2024
Funding
-
Team size
12
Location
United States
Compare SPOL with ekai
14
ekai

Analytics Platforms

Enterprise data is typically fragmented, leading to inefficiencies in accessing and processing it. With AI-enabled DataOps automation, ekai is transforming the way organizations utilize their data. Every day, we enable tech and non-tech teams to take charge of their data with automated data operations. Instead of investing heavily and waiting for months, enterprises save time and money with ekai’s automated, quality-assured DataOps. ekai is the only tool your data needs, speeding up time to value and leveraging your data to enable context-driven AI use cases.

Revenue
$1.3M
Customers
-
Year founded
2024
Funding
-
Team size
12
Location
United States
Compare SPOL with Muxy
15
Muxy

Analytics Platforms

Twitch live broadcast user engagement tools

Revenue
$1.3M
Customers
-
Year founded
2015
Funding
$50K
Team size
12
Location
United States
Compare SPOL with Infojuice Srl
16
Infojuice Srl

Analytics Platforms

Nata per soddisfare l'esigenza di pochi, grazie agli investimenti in tecnologia ed al suo appeal internazionale, Euregio srl si è immediatamente imposta come uno dei principali player nazionali di Media Monitoring e di Media Intelligence.

Revenue
$1.3M
Customers
-
Year founded
2010
Funding
-
Team size
12
Location
Italy
Compare SPOL with Plural AI
17
Plural AI

Analytics Platforms

Businesses use only a fraction of the data they need to make financial decisions because that data is difficult to retrieve and analyse at scale. As a result, most financial analysis is wrong. We’re building a new kind of tool called a knowledge engine, for the finance industry. We're starting with deal origination and monitoring for corporate finance clients (e.g. PE/M&A). Over time we're aiming to build an AI-enabled financial analysis platform, changing not only the way the data is represented on the back-end, but also how users interact with it on the front-end. We are backed by deep-tech incubator Entrepreneur First, celebrated fintech VC Speedinvest (Tide, Curve, N26), and specialist machine learning investor AI Seed. Come reinvent knowledge work with us.

Revenue
$1.3M
Customers
-
Year founded
-
Funding
-
Team size
12
Location
United Kingdom
Compare SPOL with Specifi IO
18
Specifi IO

Analytics Platforms

Specifi is the AV industry's most professional, yet simple project management and proposal tool. Now with Customer Portal and WebBuilder, Specifi is the complete package for any AV Integrator who wants to be more professional, and organized and win more jobs.

Revenue
$1.3M
Customers
-
Year founded
2021
Funding
-
Team size
12
Location
United Kingdom
Compare SPOL with Vidnoz
19
Vidnoz

Analytics Platforms

🎥 Create, share & track videos in one place! 💼 Connect with customers & colleagues remotely. Preferred by customer-facing teams. 📈

Revenue
$1.3M
Customers
-
Year founded
2020
Funding
-
Team size
12
Location
United States
Compare SPOL with Vēmos
20
Vēmos

Analytics Platforms

We at Vēmos envision a world where going out is your most personal experience. We believe that going out to a restaurant or even attending a concert should not be an out-of-the-box experience. When we sit down and look at a menu, we should each see different items based on our dietary preferences and products we consume. We should receive different offers based on our past purchases, frequency of visits, and interests. We should be alerted of different performing artists based on the types of music or performances we enjoy. That’s why we built Vēmos We are on a mission to build an ecosystem that connects consumers to the hospitality venues they frequent as well as the brands they consume during their visits. We do this through a digital wallet that remembers your own habits across all establishments, backed by a customer data platform that empowers brands & venues to deliver personalized experiences. With one universal app, consumers can manage loyalty, redeem offers, and make payments at venues across the nation. And for the first time, they’ll be able to engage with and be rewarded for consuming the brands they love.

Revenue
$1.3M
Customers
-
Year founded
2013
Funding
-
Team size
12
Location
United States
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