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Top QUANT AI Lab Alternatives, Competitors & Similar Software

Founded 2019

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as UMU, UMU and UMU. These QUANT AI Lab competitors have raised - and together serve more than - customers and employ over 1.8K team members.

Compare QUANT AI Lab with UMU
1
UMU

AI & Machine Learning Operationalization (MLOps) Software

UMU is an AI-powered performance learning platform that enables global industry leaders to enhance employee performance and revenue through knowledge reinforcement, identifying winning behaviors, and facilitating on-the-job coaching. Companies worldwide leverage UMU to turn training goals into business outcomes, foster knowledge sharing, optimize performance, and drive behavioral change across all organizational levels.

Revenue
$10M
Customers
-
Year founded
2015
Funding
-
Team size
91
Location
United States
Compare QUANT AI Lab with UMU
2
UMU

AI & Machine Learning Operationalization (MLOps) Software

UMU is an AI-powered performance learning platform that enables global industry leaders to enhance employee performance and revenue through knowledge reinforcement, identifying winning behaviors, and facilitating on-the-job coaching. Companies worldwide leverage UMU to turn training goals into business outcomes, foster knowledge sharing, optimize performance, and drive behavioral change across all organizational levels.

Revenue
$10M
Customers
-
Year founded
2015
Funding
-
Team size
91
Location
United States
Compare QUANT AI Lab with UMU
3
UMU

AI & Machine Learning Operationalization (MLOps) Software

UMU is an AI-powered performance learning platform that enables global industry leaders to enhance employee performance and revenue through knowledge reinforcement, identifying winning behaviors, and facilitating on-the-job coaching. Companies worldwide leverage UMU to turn training goals into business outcomes, foster knowledge sharing, optimize performance, and drive behavioral change across all organizational levels.

Revenue
$10M
Customers
-
Year founded
2015
Funding
-
Team size
91
Location
United States
Compare QUANT AI Lab with KarmaLifeAI
4
KarmaLifeAI

AI & Machine Learning Operationalization (MLOps) Software

As the largest EWA player in India, we are the pioneers of an ecosystem that can impact millions of lives. Studies by BCG have suggested that in 2020-21, 77 lakh (7.7 million) workers will be engaged in the gig economy and this workforce is expected to expand to 20+ crore (200+ M) workers by 2029-30. Owing to the dependence of Indian business on gig workers, the pressure on this community is very high. Therefore, creating sustainable livelihood opportunities for lower-income workers is essential. A study that we did in 2022, confirms that despite making up 85% of the Indian workforce, gig workers in India have irregular cash flows, and any sudden expenditure can upset their financial stability. We use data points to understand and underwrite gig workers based on their current behaviour and not their financial histories. This also goes well with the company’s tech-driven approach instead of a transaction-driven one. As a starting point, we offer Earned Wage Access (EWA) — a financial product that gives people access to a portion of their earnings any time before payday. It focuses on providing a small-ticket credit linked to future earnings. Hence, we are not only helping gig workers with access to financial products more easily but also more responsibly. We work with EWA or earnings -linked credit, and other small-ticket, short-term credit products to resolve the "month end" crisis for the sector. This allows users to flexibly borrow money during medical and other unforeseen emergencies more easily. We are working to build a sustainable future for the gig economy. Recognising the massive potential and pain points of the gig and blue collar economy, we share the enthusiasm of all stakeholders working to help it grow and improve its wellbeing. The employer par also extends services to users through partnerships with employers and aggregators of gig workers with its plug-and-play platform, which integrates with most HR management systems in minimal set up time

Revenue
$10M
Customers
-
Year founded
2020
Funding
-
Team size
91
Location
India
Compare QUANT AI Lab with Stape
5
Stape

AI & Machine Learning Operationalization (MLOps) Software

We created a tool that makes server-side tagging simple – a few minutes to set up with a user-friendly dashboard, additional power-ups, and integrations to grasp user actions better and boost your digital marketing. Why choose server-side tracking with Stape? → Switch to first-party cookies to keep up with third-party cookie depreciation. → Bypass ad blockers for reliable data. → Enhance ad attribution and data analysis through server-to-server integration. → Control the data shared with vendors for better security. → Move to tracking with first-party data in a world without cookies. → Get richer user data for more focused marketing. What Stape offers: ✓ Hosting for server-side Google Tag Manager, available worldwide and in the EU. ✓ Hosting for Meta Conversions API Gateway. ✓ Google Conversions API Gateway. ✓ Hosting for Snapchat Conversions API Gateway. ✓ A variety of apps, plugins, templates, and extensions: WordPress, Shopify, Wix and more. ✓ Stape Analytics to measure the effectiveness of your server-side setup. ✓ Stape Academy - free online trainings on server-side tagging Benefits of Stape: → Cost-effective: starting at $20 for hosting. Logs are included. Freemium plan for sGTM and free trial for Gateways. → User-friendly: easy setups and clear dashboards. → Enhanced tracking with powerful integrations and templates. → Helpful 24/7 support and a community to assist with server-side tracking. → Compliance with security standards: ISO 27001, HIPAA, SOC 2, and GDPR. Not a Stape user yet? Sign up and start for free today at https://stape.io/sign-up

Revenue
$10M
Customers
-
Year founded
2020
Funding
-
Team size
91
Location
United States
Compare QUANT AI Lab with Olio
6
Olio

AI & Machine Learning Operationalization (MLOps) Software

Olio’s care coordination platform drives fast, sustained engagement with network providers - which means better data insights, healthier members, and lower costs.

Revenue
$10M
Customers
-
Year founded
2017
Funding
-
Team size
91
Location
United States
Compare QUANT AI Lab with Owl.co
7
Owl.co

AI & Machine Learning Operationalization (MLOps) Software

Owl.co offers the leading Claims Intelligence technologies that empowers the world's largest insurers to unlock insights, prioritize claims and explore best practices with unprecedented accuracy and efficiency.

Revenue
$10M
Customers
-
Year founded
2019
Funding
-
Team size
91
Location
Canada
Compare QUANT AI Lab with Owl.co
8
Owl.co

AI & Machine Learning Operationalization (MLOps) Software

Owl.co offers the leading Claims Intelligence technologies that empowers the world's largest insurers to unlock insights, prioritize claims and explore best practices with unprecedented accuracy and efficiency.

Revenue
$10M
Customers
-
Year founded
2019
Funding
-
Team size
91
Location
Canada
Compare QUANT AI Lab with Owl.co
9
Owl.co

AI & Machine Learning Operationalization (MLOps) Software

Owl.co offers the leading Claims Intelligence technologies that empowers the world's largest insurers to unlock insights, prioritize claims and explore best practices with unprecedented accuracy and efficiency.

Revenue
$10M
Customers
-
Year founded
2019
Funding
-
Team size
91
Location
Canada
Compare QUANT AI Lab with Remesh
10
Remesh

AI & Machine Learning Operationalization (MLOps) Software

Remesh allows you to have a live conversation with your customers at scale, using AI to analyze and organize your audience’s responses in real-time. Gain fast, frequent, and efficient insights and make decisions with confidence. Facebook: https://www.facebook.com/teamremesh/home Twitter: @teamremesh Instagram: @teamremesh

Revenue
$10M
Customers
-
Year founded
2013
Funding
-
Team size
91
Location
United States
Compare QUANT AI Lab with Five AI
11
Five AI

AI & Machine Learning Operationalization (MLOps) Software

Five is building self-driving software components and development platforms to help autonomy programs solve the industry’s greatest challenges. In doing so, we will help turn today’s promising engineering systems into tomorrow’s trusted mobility solutions and improve the lives of millions of people, in countless ways. We’ve learnt a lot from successfully building our own high-functioning, complete self-driving system and testing it on London’s public roads. We now define our mission in two ways: 1. Deliver advanced online components that address the most under-solved challenges in self-driving systems. 2. Build a modular, cloud-based platform that delivers performance and scale for system development and assurance. To make this a reality, we’re looking for creative problem-solvers and practical doers from a range of backgrounds in areas such as software engineering, robotics, machine learning, computer vision, AI, mathematics, control engineering, software assurance, simulation, verification and motor sport. We welcome people from all backgrounds, at all levels. If you’re talented, ambitious, and want to build the future with an incredibly smart, friendly, creative and inclusive team, we’d love to hear from you. To see all our current vacancies, visit: https://careers.five.ai/

Revenue
$10M
Customers
-
Year founded
2015
Funding
-
Team size
91
Location
United Kingdom
Compare QUANT AI Lab with Olio
12
Olio

AI & Machine Learning Operationalization (MLOps) Software

Olio’s care coordination platform drives fast, sustained engagement with network providers - which means better data insights, healthier members, and lower costs.

Revenue
$10M
Customers
-
Year founded
2017
Funding
-
Team size
91
Location
United States
Compare QUANT AI Lab with Five AI
13
Five AI

AI & Machine Learning Operationalization (MLOps) Software

Five is building self-driving software components and development platforms to help autonomy programs solve the industry’s greatest challenges. In doing so, we will help turn today’s promising engineering systems into tomorrow’s trusted mobility solutions and improve the lives of millions of people, in countless ways. We’ve learnt a lot from successfully building our own high-functioning, complete self-driving system and testing it on London’s public roads. We now define our mission in two ways: 1. Deliver advanced online components that address the most under-solved challenges in self-driving systems. 2. Build a modular, cloud-based platform that delivers performance and scale for system development and assurance. To make this a reality, we’re looking for creative problem-solvers and practical doers from a range of backgrounds in areas such as software engineering, robotics, machine learning, computer vision, AI, mathematics, control engineering, software assurance, simulation, verification and motor sport. We welcome people from all backgrounds, at all levels. If you’re talented, ambitious, and want to build the future with an incredibly smart, friendly, creative and inclusive team, we’d love to hear from you. To see all our current vacancies, visit: https://careers.five.ai/

Revenue
$10M
Customers
-
Year founded
2015
Funding
-
Team size
91
Location
United Kingdom
Compare QUANT AI Lab with Owl.co
14
Owl.co

AI & Machine Learning Operationalization (MLOps) Software

Owl.co offers the leading Claims Intelligence technologies that empowers the world's largest insurers to unlock insights, prioritize claims and explore best practices with unprecedented accuracy and efficiency.

Revenue
$10M
Customers
-
Year founded
2019
Funding
-
Team size
91
Location
Canada
Compare QUANT AI Lab with Arcules
15
Arcules

AI & Machine Learning Operationalization (MLOps) Software

Arcules is a Canon Group company that delivers a simple and unified video surveillance, access control, and analytics platform in the cloud. Using the latest developments in web technologies, artificial intelligence, and machine learning, Arcules combines previously untapped video and sensor analytics data to deliver actionable insights that ultimately drive better business decisions, optimize operations, and make the world a safer place.

Revenue
$10M
Customers
-
Year founded
2017
Funding
-
Team size
91
Location
United States
Compare QUANT AI Lab with Makersite
16
Makersite

AI & Machine Learning Operationalization (MLOps) Software

Makersite is transforming how products are made by accelerating the transition to a sustainable economy. We’re the leader in delivering supply chain digital twins for product sustainability, risk, and cost optimization for the world’s leading brands. Our technology combines AI, data, and apps to power sustainable product and supply chain decisions at scale, helping manufacturing enterprises solve complex challenges in minutes where previously it would take them months. We do this by empowering engineering and procurement teams in manufacturing companies with the data they need to make better decisions about what to make their products out of and from where they should buy from. Makersite’s AI automatically maps a company’s product data, suppliers, and manufacturing processes against more than 140 material and supply chain databases. It then constructs granular, precise digital twins of each product and how they are made, used, and disposed of. It is these dynamic, multi-criteria models and deeply integrated apps that enable transparency and understanding of multiple factors, including environmental footprints, should-costing, and compliance risks, faster than any current approach. Makersite is an award-winning software-as-a-service provider helping manufacturing enterprises solve complex challenges around their products and supply chains. Founded in 2018 by CEO and Founder Neil D’Souza, the Stuttgart-based company employs more than 60 employees across Europe, the USA, and Asia. Their customer portfolio includes Microsoft, Bekaert, Barco, Cummins, and Vestas. Amongst other areas, Makersite is the leader in MCDA for product design and procurement, as well as full automation of LCAs and Scope 3 reporting. Just in 2022, 20+ Million LCAs were processed through the cloud platform. You can find our social media privacy policy here - https://makersite.io/social-policy/

Revenue
$10M
Customers
-
Year founded
2018
Funding
-
Team size
91
Location
Germany
Compare QUANT AI Lab with Arcules
17
Arcules

AI & Machine Learning Operationalization (MLOps) Software

Arcules is a Canon Group company that delivers a simple and unified video surveillance, access control, and analytics platform in the cloud. Using the latest developments in web technologies, artificial intelligence, and machine learning, Arcules combines previously untapped video and sensor analytics data to deliver actionable insights that ultimately drive better business decisions, optimize operations, and make the world a safer place.

Revenue
$10M
Customers
-
Year founded
2017
Funding
-
Team size
91
Location
United States
Compare QUANT AI Lab with Arcules
18
Arcules

AI & Machine Learning Operationalization (MLOps) Software

Arcules is a Canon Group company that delivers a simple and unified video surveillance, access control, and analytics platform in the cloud. Using the latest developments in web technologies, artificial intelligence, and machine learning, Arcules combines previously untapped video and sensor analytics data to deliver actionable insights that ultimately drive better business decisions, optimize operations, and make the world a safer place.

Revenue
$10M
Customers
-
Year founded
2017
Funding
-
Team size
91
Location
United States
Compare QUANT AI Lab with Makersite
19
Makersite

AI & Machine Learning Operationalization (MLOps) Software

Makersite is transforming how products are made by accelerating the transition to a sustainable economy. We’re the leader in delivering supply chain digital twins for product sustainability, risk, and cost optimization for the world’s leading brands. Our technology combines AI, data, and apps to power sustainable product and supply chain decisions at scale, helping manufacturing enterprises solve complex challenges in minutes where previously it would take them months. We do this by empowering engineering and procurement teams in manufacturing companies with the data they need to make better decisions about what to make their products out of and from where they should buy from. Makersite’s AI automatically maps a company’s product data, suppliers, and manufacturing processes against more than 140 material and supply chain databases. It then constructs granular, precise digital twins of each product and how they are made, used, and disposed of. It is these dynamic, multi-criteria models and deeply integrated apps that enable transparency and understanding of multiple factors, including environmental footprints, should-costing, and compliance risks, faster than any current approach. Makersite is an award-winning software-as-a-service provider helping manufacturing enterprises solve complex challenges around their products and supply chains. Founded in 2018 by CEO and Founder Neil D’Souza, the Stuttgart-based company employs more than 60 employees across Europe, the USA, and Asia. Their customer portfolio includes Microsoft, Bekaert, Barco, Cummins, and Vestas. Amongst other areas, Makersite is the leader in MCDA for product design and procurement, as well as full automation of LCAs and Scope 3 reporting. Just in 2022, 20+ Million LCAs were processed through the cloud platform. You can find our social media privacy policy here - https://makersite.io/social-policy/

Revenue
$10M
Customers
-
Year founded
2018
Funding
-
Team size
91
Location
Germany
Compare QUANT AI Lab with Makersite
20
Makersite

AI & Machine Learning Operationalization (MLOps) Software

Makersite is transforming how products are made by accelerating the transition to a sustainable economy. We’re the leader in delivering supply chain digital twins for product sustainability, risk, and cost optimization for the world’s leading brands. Our technology combines AI, data, and apps to power sustainable product and supply chain decisions at scale, helping manufacturing enterprises solve complex challenges in minutes where previously it would take them months. We do this by empowering engineering and procurement teams in manufacturing companies with the data they need to make better decisions about what to make their products out of and from where they should buy from. Makersite’s AI automatically maps a company’s product data, suppliers, and manufacturing processes against more than 140 material and supply chain databases. It then constructs granular, precise digital twins of each product and how they are made, used, and disposed of. It is these dynamic, multi-criteria models and deeply integrated apps that enable transparency and understanding of multiple factors, including environmental footprints, should-costing, and compliance risks, faster than any current approach. Makersite is an award-winning software-as-a-service provider helping manufacturing enterprises solve complex challenges around their products and supply chains. Founded in 2018 by CEO and Founder Neil D’Souza, the Stuttgart-based company employs more than 60 employees across Europe, the USA, and Asia. Their customer portfolio includes Microsoft, Bekaert, Barco, Cummins, and Vestas. Amongst other areas, Makersite is the leader in MCDA for product design and procurement, as well as full automation of LCAs and Scope 3 reporting. Just in 2022, 20+ Million LCAs were processed through the cloud platform. You can find our social media privacy policy here - https://makersite.io/social-policy/

Revenue
$10M
Customers
-
Year founded
2018
Funding
-
Team size
91
Location
Germany
Top QUANT AI Lab Alternatives, Competitors & Similar Software | GetLatka