- Revenue
- $660K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 6
- Location
- United States
Top Valuables® Alternatives, Competitors & Similar Software
Founded 2022
Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Lumari, LineWise and Sphinx AI. These Valuables® competitors have raised $1.3M and together serve more than - customers and employ over 120 team members.

Data Science and Machine Learning Platforms
AI Engineer to troubleshoot manufacturing line issues
- Revenue
- $660K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 6
- Location
- United States

- Revenue
- $660K
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 6
- Location
- United States
- Revenue
- $660K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 6
- Location
- United States

Data Science and Machine Learning Platforms
Digital marketing and automation firm working exclusively in the hearing health care and ENT space
- Revenue
- $660K
- Customers
- -
- Year founded
- 2016
- Funding
- -
- Team size
- 6
- Location
- United States

Data Science and Machine Learning Platforms
Cognosys AI is an artificial intelligence platform that offers a personalized AI agent to assist users in automating tasks, streamlining productivity, and simplifying complex tasks. It provides features like automated task generation, intelligent model selection, internet search transparency, and future integrations with services like Gmail and Notion.
- Revenue
- $660K
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 6
- Location
- Canada

Data Science and Machine Learning Platforms
Vocera AI is a platform designed to test, evaluate, and improve AI agents. It offers tools for simulating scenarios, replaying real conversations, and conducting evaluations to ensure AI agents perform optimally across various workflows and personalities. The service aims to help businesses identify and fix issues in their AI agents before deployment, enhancing reliability and compliance.
- Revenue
- $660K
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 6
- Location
- United States

Data Science and Machine Learning Platforms
Machen KI für KMUs einfach | Ihre Partner für praktische KI-Lösungen | Mensch + Technologie Über uns: Bei danielschlager. ai glauben wir, dass jedes Unternehmen - egal wie klein - von künstlicher Intelligenz profitieren kann. Unsere Mission: KI aus dem Elfenbeinturm holen und für KMUs praktisch, verständlich und...
- Revenue
- $660K
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 6
- Location
- Austria

- Revenue
- $660K
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 6
- Location
- United States
- Revenue
- $660K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 6
- Location
- United States

Data Science and Machine Learning Platforms
CurateIt simplifies your research, content curation, and data enrichment to boost productivity using AI. Easily curate, build, and search through your memory to showcase your knowledge through shareable collections, social media posts, blogs, links in bio, and custom sites, all on a social collaboration platform within CurateIt. Accessible via browser extensions, web, chat, desktop, and mobile.
- Revenue
- $660K
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 6
- Location
- United States

Data Science and Machine Learning Platforms
A complete developer-first ecosystem that helps you take actions on behalf of your users across the internet. It lets developers build complex, custom automation workflows on any app, even those without APIs.
- Revenue
- $660K
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 6
- Location
- India

- Revenue
- $660K
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 6
- Location
- United States

Data Science and Machine Learning Platforms
Bewgle works with leading ecommerce players to analyze natural language data like reviews. Bewgle's advanced AI generates actionable insights from these reviews leading to better engagement metrics and ultimately higher sales. Cofounders are ex-google employees with extensive experience using cutting edge technology and building products at scale. An SAP.io, Techstars Berlin funded company. www.bewgle.com
- Revenue
- $660K
- Customers
- -
- Year founded
- 2017
- Funding
- $1.3M
- Team size
- 6
- Location
- India

Data Science and Machine Learning Platforms
Machen KI für KMUs einfach | Ihre Partner für praktische KI-Lösungen | Mensch + Technologie Über uns: Bei danielschlager. ai glauben wir, dass jedes Unternehmen - egal wie klein - von künstlicher Intelligenz profitieren kann. Unsere Mission: KI aus dem Elfenbeinturm holen und für KMUs praktisch, verständlich und...
- Revenue
- $660K
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 6
- Location
- Austria

Data Science and Machine Learning Platforms
Amplify partners with technology companies and founders to "go to market" and initiate and manage new revenue-generating tactics not currently utilized in your selling operation, delivering incremental green-shoots growth that would otherwise be overlooked. Enhance your growth with Amplify as your turn-key teammate to unlock today's industry potential, maximize revenue, and build strong brands in 2025.
- Revenue
- $660K
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 6
- Location
- United States

Data Science and Machine Learning Platforms
The most powerful Computer Vision with single-image unsupervised learning. Instead of relying on annotation and human training, our patented Fingerprint bio-inspired AI ’embedded model’ translates every image into a unique fingerprint. - True visual AI - Fine-grained recognition - Operational from day one - No need for hard-to-find AI experts - No need for expensive cloud AI products - Scalable beyond all existing business needs - Equipped to deal with the unpredictable An Edge to Cloud AI Platform deploying the fastest services, with all-in-one capabilities. And just a single image to start. Why us? Businesses need true Visual AI, that scales with data and change. Organizations can get the most accurate image and video recognition with Shazura's AI. It works instantly without the drain on time, human resources, and high-consumption servers. Over ten years ago, we set out to create Computer Vision to mirror the brain-eye connection. Instead of labeling data, we put visuals first. Others were sceptical about unsupervised learning. They've built ML/DL models that rely on extensive human training. Today, businesses and end users are realising their limitations. Interest is shifting towards unsupervised learning. Why now? The enterprise Computer Vision market is booming at an unprecedented pace, faster than ever. Emerging technologies will soon enable computers to perceive the world in unimaginable ways. Unsupervised and all-in-one learning is rapidly becoming a real need. The market demands multiple use cases and capabilities within organizations. Shazura’s true visual AI was designed from its origin to cope with all these needs, providing a unified, industry-agnostic lifecycle. We’re ready. We’ve been doing this for over a decade and provide the most powerful and market-ready Computer Vision.
- Revenue
- $660K
- Customers
- -
- Year founded
- 2012
- Funding
- -
- Team size
- 6
- Location
- United States
- Revenue
- $660K
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 6
- Location
- Germany

Data Science and Machine Learning Platforms
Amplify partners with technology companies and founders to "go to market" and initiate and manage new revenue-generating tactics not currently utilized in your selling operation, delivering incremental green-shoots growth that would otherwise be overlooked. Enhance your growth with Amplify as your turn-key teammate to unlock today's industry potential, maximize revenue, and build strong brands in 2025.
- Revenue
- $660K
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 6
- Location
- United States
- Revenue
- $660K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 6
- Location
- United States






