Data Science and Machine Learning Platforms
A no-code platform for automating workflows with AI
- Revenue
- $1.1M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 10
- Location
- United States
Each Tuesday, we reverse-engineer a real SaaS company's revenue, profit, CAC, funnels, and its top growth tactic.
Sign up to access all features
Sign up with GoogleSign up with LinkedInAlready have an account? Log in
GetLatka is trusted by 200k+ founders, researchers, and marketers.
No contracts, cancel at any time
Founded 2019
Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Gumloop, Kerno and Fribl. These Incendium AI competitors have raised $120K and together serve more than - customers and employ over 200 team members.
Data Science and Machine Learning Platforms
A no-code platform for automating workflows with AI
Data Science and Machine Learning Platforms
We design, build and run blockchain applications since 2017 • Specialties: AI
Data Science and Machine Learning Platforms
SkyReels is a dynamic team fueled by a passion for innovation and eagerness for challenges. From advanced algorithms to cutting-edge features, we're poised to redefine what's possible and revolutionize the content industry. Join us as we unleash the future of AI technology.
Data Science and Machine Learning Platforms
User can perform digital marketing operations from start to end in a single workspace. AutoText is an AI/ML powered tool capable of generating multi-language text and image, posting and scheduling across SM platforms, providing analysis and recommendations.
Data Science and Machine Learning Platforms
Convertize was founded in 2008 and is based in London, UK. We provide A/B Testing software (Convertize A/B Testing), a Social Proof app (Nudgify) and Conversion Rate Optimization services. Convertize A/B Testing allows any business to test and optimize web content, increasing conversions and delivering more long-term revenue. Advanced features like the SmartEditor™ allow users to edit content without touching a line of code, whilst the Hybrid Statistics Engine™ and Autopilot™ ensure tests produce reliable results, fast. Although we are based in London, we have clients across the UK, France and all around the globe. Our office is a vibrant mix of people of various work backgrounds, nationalities and cultures. This fresh and exciting mix of people is a key part of our corporate identity and contributes greatly to the success and growth of our business.
Data Science and Machine Learning Platforms
Too many organisations are suffering from Market Myopia, the narrow, fragmented viewpoint that obstructs organizations to understand market dynamics, market trends, and shifting consumer behavior. Organizations failing to identify emerging trends, opportunities, and threats, are hindered in their decision-making, innovation efforts, and long-term prospects for success. DataScouts helps organisations gain Context Clarity, anticipate shifts and making better choices. DataScouts Key Features for Delivering Context Clarity: 1. AI enabled insigths: Let AI handle the grunt work, freeing up analysts for deeper interpretation and strategy formulation 2. Integrated Market Analysis: Get a holistic market perspective, collecting all data in one central place to present a clear picture 3. Stakeholder mapping: Understand the landscape you are operating in, relevant stakeholders and enabling relationships 4. Scenario Thinking: Design, analyse and monitor potential scenarios of the future, equipping yourself for what's next. Entrepreneurship is about speed and quality of decisions, not just analysis. The goal of business intelligence is to prepare action.
Data Science and Machine Learning Platforms
Chatterbox Labs is an AI security and safety software company that was established in 2011. Our patented platform, AIMI, automates the process of testing AI (across the whole inference flow, including models and guardrails). AIMI delivers automated, customized AI security & safety testing and provides the factual risk metrics that enterprise leaders need to approve AI into production. Years of developing AI IP gave novel scientific breakthroughs in: - Automated custom harm categories to address any enterprise use case - Unlimited jailbreaks to identify weaknesses in models and guardrails
Data Science and Machine Learning Platforms
Our mission is to help enterprise software companies achieve data-driven customer centricity at org level. CogniSaaS is a Customer-Centric Onboarding and Implementation Platform to collaborate with customers, internal stakeholders and deliver faster time-to-value.
Data Science and Machine Learning Platforms
DigiParser lets you import any documents, extract JSON data based on your defined schema, and export this data to your business tools for automated data entries.Digiparser helps you extract data from documents or emails with our AI-powered OCR models, and automate business processes with a simple no-code workflow builder.
Data Science and Machine Learning Platforms
Too many organisations are suffering from Market Myopia, the narrow, fragmented viewpoint that obstructs organizations to understand market dynamics, market trends, and shifting consumer behavior. Organizations failing to identify emerging trends, opportunities, and threats, are hindered in their decision-making, innovation efforts, and long-term prospects for success. DataScouts helps organisations gain Context Clarity, anticipate shifts and making better choices. DataScouts Key Features for Delivering Context Clarity: 1. AI enabled insigths: Let AI handle the grunt work, freeing up analysts for deeper interpretation and strategy formulation 2. Integrated Market Analysis: Get a holistic market perspective, collecting all data in one central place to present a clear picture 3. Stakeholder mapping: Understand the landscape you are operating in, relevant stakeholders and enabling relationships 4. Scenario Thinking: Design, analyse and monitor potential scenarios of the future, equipping yourself for what's next. Entrepreneurship is about speed and quality of decisions, not just analysis. The goal of business intelligence is to prepare action.
Data Science and Machine Learning Platforms
Audata is a SaaS (software-as-a-service) company based in Melbourne, Australia. Our mission is to craft tools that help media & entertainment businesses do better work, and embrace data to create more meaningful connections with their audiences.
Data Science and Machine Learning Platforms
Synopsis is a French company established in early 2023, in Paris. Our company offers a tool to assist people in categorizing unstructured feedback and transforming it into actionable insights. Two main factors have driven the emergence of Synopsis: Companies struggle to exploit the potential of qualitative data emerging from various sources such as reviews, social media, and support AI and LLM provide a solution to gain a better understanding of this unstructured landscape. We firmly believe in the significance of processing customer feedback and qualitative studies, aiming to empower companies to finally access this valuable knowledge.
Data Science and Machine Learning Platforms
DigiParser lets you import any documents, extract JSON data based on your defined schema, and export this data to your business tools for automated data entries.Digiparser helps you extract data from documents or emails with our AI-powered OCR models, and automate business processes with a simple no-code workflow builder.
Data Science and Machine Learning Platforms
Audata is a SaaS (software-as-a-service) company based in Melbourne, Australia. Our mission is to craft tools that help media & entertainment businesses do better work, and embrace data to create more meaningful connections with their audiences.
Data Science and Machine Learning Platforms
Canvas is an AI-powered platform designed for enterprise customer success teams. It consolidates data from various sources, automatically detects risks and opportunities, and provides AI-assisted task handling. The platform aims to transform customer success managers from reactive support roles into proactive growth drivers, addressing challenges like customer churn and revenue loss in the B2B SaaS market.
Data Science and Machine Learning Platforms
KaibanJS, shorthand for "AI in a Kanban," is a JavaScript framework designed to streamline the process of constructing, managing, and visualizing multi-agent AI systems. With KaibanJS, you can: - Easily assemble groups of AI agents to work collaboratively on complex tasks. - Monitor and manage your agents' activities through a Trello-like UI that offers a clear visual representation of tasks and workflows. - Operate the Kanban Board on your local system, giving you full control over the environment and ensuring privacy and data security. - Utilize a broad range of JavaScript libraries and APIs to enhance the functionality of your agents.
Data Science and Machine Learning Platforms
Synopsis is a French company established in early 2023, in Paris. Our company offers a tool to assist people in categorizing unstructured feedback and transforming it into actionable insights. Two main factors have driven the emergence of Synopsis: Companies struggle to exploit the potential of qualitative data emerging from various sources such as reviews, social media, and support AI and LLM provide a solution to gain a better understanding of this unstructured landscape. We firmly believe in the significance of processing customer feedback and qualitative studies, aiming to empower companies to finally access this valuable knowledge.