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Top Checkout Technologies (acquired by Standard AI) Alternatives, Competitors & Similar Software

Founded 2017

Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as fashionINSTA.AI, ai.res and Foundry AI. These Checkout Technologies (acquired by Standard AI) competitors have raised $50K and together serve more than - customers and employ over 40 team members.

Compare Checkout Technologies (acquired by Standard AI) with Foundry AI
3
Foundry AI

Data Science and Machine Learning Platforms

Foundry is a comprehensive platform designed to help businesses create, test, and enhance AI agents for various tasks. It offers tools for agent design, performance evaluation, and improvement through auto-prompting, fine-tuning, and steering. The platform aims to simplify the process of identifying weaknesses in AI agents and improving their reliability for real-world applications

Revenue
$220K
Customers
-
Year founded
2023
Funding
-
Team size
2
Location
United States
Compare Checkout Technologies (acquired by Standard AI) with ChatterQuant
4
ChatterQuant

Data Science and Machine Learning Platforms

ChatterQuant is an award-winning collective intelligence and natural language processing company servicing the financial industry. We use advanced machine learning algorithms to parse unstructured textual data and provide structured insights to banks, traders, hedge funds, and other financial institutions. Our commitment to innovation and excellence has been recognized by the industry, as we have won the TradeTech 2022 Innovation award, the 2022 IEC award, and the 2022 Hackfort award, among others. At ChatterQuant, we are passionate about using technology to improve the efficiency and effectiveness of financial trading. With our cutting-edge solutions, we help our clients stay ahead of the competition and achieve their goals.

Revenue
$220K
Customers
-
Year founded
2021
Funding
-
Team size
2
Location
United States
Compare Checkout Technologies (acquired by Standard AI) with Algorine
5
Algorine

Data Science and Machine Learning Platforms

We are a private Research Lab that spun out of the Massachusetts Institute of Technology (MIT) to advance basic Artificial Intelligence (AI), Machine Learning (ML) and Optimization Research, and explore high social impact applications. Our software has been successfully used for design optimization in optics, routing (TSP), solar, wind, etc., as well as in Social Media Analytics.

Revenue
$220K
Customers
-
Year founded
2014
Funding
$50K
Team size
2
Location
United States
Compare Checkout Technologies (acquired by Standard AI) with Eluna.ai
7
Eluna.ai

Data Science and Machine Learning Platforms

A leading AI product suite designed to streamline productivity and elevate creativity. Our technology provides a user-friendly experience that is unmatched in the industry, empowering humans to achieve their goals more efficiently and effectively than ever before. Join the forefront of the AI revolution and transform the way you create.

Revenue
$220K
Customers
-
Year founded
2023
Funding
-
Team size
2
Location
Belgium
Compare Checkout Technologies (acquired by Standard AI) with ChatterQuant
9
ChatterQuant

Data Science and Machine Learning Platforms

ChatterQuant is an award-winning collective intelligence and natural language processing company servicing the financial industry. We use advanced machine learning algorithms to parse unstructured textual data and provide structured insights to banks, traders, hedge funds, and other financial institutions. Our commitment to innovation and excellence has been recognized by the industry, as we have won the TradeTech 2022 Innovation award, the 2022 IEC award, and the 2022 Hackfort award, among others. At ChatterQuant, we are passionate about using technology to improve the efficiency and effectiveness of financial trading. With our cutting-edge solutions, we help our clients stay ahead of the competition and achieve their goals.

Revenue
$220K
Customers
-
Year founded
2021
Funding
-
Team size
2
Location
United States
Compare Checkout Technologies (acquired by Standard AI) with Amoeba AI
11
Amoeba AI

Data Science and Machine Learning Platforms

Amoeba is an AI-powered data scientist designed to solve a major issue: businesses have more data than ever, but struggle to extract actionable insights from it. This leads to missed revenue opportunities, inefficiencies, and outdated strategies. Amoeba solves this by transforming complex sales, marketing and financial data into real-time insights, tailored strategies, and actionable recommendations, all without the need for a dedicated data team. Powered by proprietary technology, including model ensembles and causal-aware neural networks, Amoeba has already proven to increase qualified leads by 15%, boost retention by 20%, and save 1000s of hours weekly

Revenue
$220K
Customers
-
Year founded
2024
Funding
-
Team size
2
Location
United States
Compare Checkout Technologies (acquired by Standard AI) with Cardinal
14
Cardinal

Data Science and Machine Learning Platforms

Cardinal is built for the hardest documents. Where LLMs hallucinate and miss structure, and traditional OCR tools are inaccurate, Cardinal delivers precise, structured data with bounding boxes you can trust.

Revenue
$220K
Customers
-
Year founded
2025
Funding
-
Team size
2
Location
United States
Compare Checkout Technologies (acquired by Standard AI) with alphaAI Capital
15
alphaAI Capital

Data Science and Machine Learning Platforms

alphaAI Capital dynamically manages your portfolio using AI, shifting between aggressive and defensive modes as market conditions change. Access fully-automated leveraged ETF, crypto ETF, and tax-aware strategies tailored to your risk profile.

Revenue
$220K
Customers
-
Year founded
2021
Funding
-
Team size
2
Location
United States
Compare Checkout Technologies (acquired by Standard AI) with alphaAI Capital
16
alphaAI Capital

Data Science and Machine Learning Platforms

alphaAI Capital dynamically manages your portfolio using AI, shifting between aggressive and defensive modes as market conditions change. Access fully-automated leveraged ETF, crypto ETF, and tax-aware strategies tailored to your risk profile.

Revenue
$220K
Customers
-
Year founded
2021
Funding
-
Team size
2
Location
United States
Compare Checkout Technologies (acquired by Standard AI) with Amoeba AI
17
Amoeba AI

Data Science and Machine Learning Platforms

Amoeba is an AI-powered data scientist designed to solve a major issue: businesses have more data than ever, but struggle to extract actionable insights from it. This leads to missed revenue opportunities, inefficiencies, and outdated strategies. Amoeba solves this by transforming complex sales, marketing and financial data into real-time insights, tailored strategies, and actionable recommendations, all without the need for a dedicated data team. Powered by proprietary technology, including model ensembles and causal-aware neural networks, Amoeba has already proven to increase qualified leads by 15%, boost retention by 20%, and save 1000s of hours weekly

Revenue
$220K
Customers
-
Year founded
2024
Funding
-
Team size
2
Location
United States
Compare Checkout Technologies (acquired by Standard AI) with Gyata.ai
18
Gyata.ai

Data Science and Machine Learning Platforms

At Gyata.ai, we harness AI to solve real-world problems across content creation, business automation, and technology. Our AI-driven solutions help companies scale efficiently, streamline workflows, and enhance engagement. We believe AI is a catalyst for innovation, unlocking new opportunities and efficiencies. Let’s build the future together.

Revenue
$220K
Customers
-
Year founded
2023
Funding
-
Team size
2
Location
India
Compare Checkout Technologies (acquired by Standard AI) with Cekura (YC F24)
19
Cekura (YC F24)

Data Science and Machine Learning Platforms

Cekura offers an AI-powered browser agent designed to verify and update documentation for SaaS companies. The agent can read how-to articles, navigate products, and check if the documentation is still valid. This automation helps knowledge and customer success teams save significant time and effort in maintaining up-to-date help articles and product documentation

Revenue
$220K
Customers
-
Year founded
2024
Funding
-
Team size
2
Location
United States
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