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Top Retrocausal Alternatives, Competitors & Similar Software

Founded 2019

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Encord, SPREAD AI and Encord. These Retrocausal competitors have raised - and together serve more than - customers and employ over 2.1K team members.

Compare Retrocausal with Encord
1Encord logo
Encord

AI & Machine Learning Operationalization (MLOps) Software

The data development platform for AI teams

Revenue
$12.8M
Customers
-
Year founded
2020
Funding
-
Team size
85
Location
United Kingdom
Compare Retrocausal with SPREAD AI
2SPREAD AI logo
SPREAD AI

AI & Machine Learning Operationalization (MLOps) Software

SPREAD empowers full-stack engineering by aggregating, structuring and contextualizing dispersed HW and SW product data into intuitive, functional “Product Twins”. These enable AI-powered decision-making and actions in the entire product lifecycle. Built on the world’s first general-purpose engineering information model (EIN), our Agentic Engineering Intelligence platform empowers specialized AI agents to accelerate development, reduce costs, and unlock innovation at scale. Trusted by industry leaders like Volkswagen, Mercedes-Benz, and Rheinmetall, SPREAD is becoming the modern backbone for engineering software-defined products in automotive, transportation, machinery, aerospace and defense.

Revenue
$12.7M
Customers
-
Year founded
2019
Funding
-
Team size
115
Location
Germany
Compare Retrocausal with Encord
3Encord logo
Encord

AI & Machine Learning Operationalization (MLOps) Software

The data development platform for AI teams

Revenue
$12.8M
Customers
-
Year founded
2020
Funding
-
Team size
85
Location
United Kingdom
Compare Retrocausal with SPREAD AI
4SPREAD AI logo
SPREAD AI

AI & Machine Learning Operationalization (MLOps) Software

SPREAD empowers full-stack engineering by aggregating, structuring and contextualizing dispersed HW and SW product data into intuitive, functional “Product Twins”. These enable AI-powered decision-making and actions in the entire product lifecycle. Built on the world’s first general-purpose engineering information model (EIN), our Agentic Engineering Intelligence platform empowers specialized AI agents to accelerate development, reduce costs, and unlock innovation at scale. Trusted by industry leaders like Volkswagen, Mercedes-Benz, and Rheinmetall, SPREAD is becoming the modern backbone for engineering software-defined products in automotive, transportation, machinery, aerospace and defense.

Revenue
$12.7M
Customers
-
Year founded
2019
Funding
-
Team size
115
Location
Germany
Compare Retrocausal with Nurix AI
5Nurix AI logo
Nurix AI

AI & Machine Learning Operationalization (MLOps) Software

AI Agents to Re-imagine Enterprise Workflows

Revenue
$12.7M
Customers
-
Year founded
2024
Funding
-
Team size
115
Location
United States
Compare Retrocausal with Encord
6Encord logo
Encord

AI & Machine Learning Operationalization (MLOps) Software

The data development platform for AI teams

Revenue
$12.8M
Customers
-
Year founded
2020
Funding
-
Team size
85
Location
United Kingdom
Compare Retrocausal with Nurix AI
7Nurix AI logo
Nurix AI

AI & Machine Learning Operationalization (MLOps) Software

AI Agents to Re-imagine Enterprise Workflows

Revenue
$12.7M
Customers
-
Year founded
2024
Funding
-
Team size
115
Location
United States
Compare Retrocausal with Optymyze
8Optymyze logo
Optymyze

AI & Machine Learning Operationalization (MLOps) Software

Optymyze is the leading Sales Performance Management platform that empowers businesses to streamline their sales processes and drive sales performance to new heights. Its user-friendly, no-code capabilities enable businesses to quickly define and easily customize compensation plans without needing any coding knowledge or expertise. Optymyze’ s advanced integrations with other tools and systems allow businesses to connect and share data across different platforms, providing valuable insights into sales performance and identifying areas for improvement. With powerful data processing and workflow capabilities, Optymyze saves time, reduces errors, and improves the efficiency and accuracy of sales operations. Highly scalable and designed to accommodate businesses of all sizes, Optymyze is the ideal platform for optimizing sales performance and driving growth, regardless of complexity or size.

Revenue
$12.8M
Customers
-
Year founded
2013
Funding
-
Team size
85
Location
United States
Compare Retrocausal with SPREAD AI
9SPREAD AI logo
SPREAD AI

AI & Machine Learning Operationalization (MLOps) Software

SPREAD empowers full-stack engineering by aggregating, structuring and contextualizing dispersed HW and SW product data into intuitive, functional “Product Twins”. These enable AI-powered decision-making and actions in the entire product lifecycle. Built on the world’s first general-purpose engineering information model (EIN), our Agentic Engineering Intelligence platform empowers specialized AI agents to accelerate development, reduce costs, and unlock innovation at scale. Trusted by industry leaders like Volkswagen, Mercedes-Benz, and Rheinmetall, SPREAD is becoming the modern backbone for engineering software-defined products in automotive, transportation, machinery, aerospace and defense.

Revenue
$12.7M
Customers
-
Year founded
2019
Funding
-
Team size
115
Location
Germany
Compare Retrocausal with Hailey HR
10Hailey HR logo
Hailey HR

AI & Machine Learning Operationalization (MLOps) Software

Introducing Hailey HR's one-stop solution with an intuitive and user-friendly interface. Save valuable time with intelligent automation and advanced analytics. Our solution includes core features and flexible functionality: - Amazing employee overview - Smooth onboarding experience - Automated tasks with workflows - Improved insight with analytics

Revenue
$12.7M
Customers
-
Year founded
2020
Funding
-
Team size
115
Location
United States
Compare Retrocausal with Learn to Win
11Learn to Win logo
Learn to Win

AI & Machine Learning Operationalization (MLOps) Software

Learn to Win is the leading provider of personalized, predictive, and secure enterprise training software. By leveraging artificial intelligence, data science, and a modern cloud-native platform, our software transforms how organizations train their teams to drive winning outcomes in complex, fast-paced environments. Learn to Win is trusted by the most critical systems in the world and serves hundreds of enterprise customers across the U.S. military, life sciences, manufacturing, supply chain, and professional sports industries. Founded in 2019, Learn to Win is headquartered in Redwood City, California and backed by top investors including the Westly Group, Norwest Venture Partners, and Pear VC.

Revenue
$12.8M
Customers
-
Year founded
2019
Funding
-
Team size
85
Location
United States
Compare Retrocausal with CubiCasa
12CubiCasa logo
CubiCasa

AI & Machine Learning Operationalization (MLOps) Software

CubiCasa is the global leader of interior property data mapping through simple smartphone scanning. Scan a house in 5 minutes with your phone, and receive back a detailed and accurate floor plan. CubiCasa's technology is used in 172 different countries and has helped create over 2 million floor plans to date. CubiCasa provides technology for the real estate, appraisal, and mortgage industries and is on a mission to digitize real estate. Most recently, we’re proud to introduce CubiCasa Tour, the easiest way to create an interactive floor plan! From the same 5-minute scan, our AI can help you create an elegant tool to help market a home. The CubiCasa App is currently available for the iPhone, iPad and Android devices.

Revenue
$12.7M
Customers
-
Year founded
2014
Funding
-
Team size
115
Location
United States
Compare Retrocausal with Learn to Win
13Learn to Win logo
Learn to Win

AI & Machine Learning Operationalization (MLOps) Software

Learn to Win is the leading provider of personalized, predictive, and secure enterprise training software. By leveraging artificial intelligence, data science, and a modern cloud-native platform, our software transforms how organizations train their teams to drive winning outcomes in complex, fast-paced environments. Learn to Win is trusted by the most critical systems in the world and serves hundreds of enterprise customers across the U.S. military, life sciences, manufacturing, supply chain, and professional sports industries. Founded in 2019, Learn to Win is headquartered in Redwood City, California and backed by top investors including the Westly Group, Norwest Venture Partners, and Pear VC.

Revenue
$12.8M
Customers
-
Year founded
2019
Funding
-
Team size
85
Location
United States
Compare Retrocausal with Learn to Win
14Learn to Win logo
Learn to Win

AI & Machine Learning Operationalization (MLOps) Software

Learn to Win is the leading provider of personalized, predictive, and secure enterprise training software. By leveraging artificial intelligence, data science, and a modern cloud-native platform, our software transforms how organizations train their teams to drive winning outcomes in complex, fast-paced environments. Learn to Win is trusted by the most critical systems in the world and serves hundreds of enterprise customers across the U.S. military, life sciences, manufacturing, supply chain, and professional sports industries. Founded in 2019, Learn to Win is headquartered in Redwood City, California and backed by top investors including the Westly Group, Norwest Venture Partners, and Pear VC.

Revenue
$12.8M
Customers
-
Year founded
2019
Funding
-
Team size
85
Location
United States
Compare Retrocausal with Gradient AI
15Gradient AI logo
Gradient AI

AI & Machine Learning Operationalization (MLOps) Software

Gradient AI provides award-winning artificial intelligence (AI) solutions for the insurance industry. Its solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. Unlike other AI solutions that use a limited claims and underwriting dataset, Gradient's SaaS platform leverages a vast industry data lake comprising tens of millions of policies and claims. It also incorporates key features including economic, health, geographic, and demographic information. Customers include some of the most recognized insurance carriers, MGAs, MGUs, TPAs, risk pools, PEOs, and large self-insured employers across all major lines of insurance. By using Gradient AI's solutions, insurers of all types achieve a better return on risk. We are proud to have been recognized by Built In five years in a row, including two categories in 2025––Best Place to Work in Boston and Best Midsize Places to Work in Boston! Check out our page here: https://www.builtinboston.com/company/ Gradient AI was founded in to address the need for state-of-the-art AI and Machine Learning (ML) solutions for the trillion-dollar insurance industry. Our software-as-a-service platform uses AI to help commercial insurers automate and improve underwriting results, reduce claim costs, and improve operational efficiencies. Our software and models are utilized by many of the world’s most recognized Insurance Carriers, MGAs, TPAs, Pools, PEOs and more. Our team of expert Data Scientists and Insurance Technology experts have an exceptional history of building wildly successful insurance technology companies, with the most satisfied customers in the industry. At GradientAI we focus exclusively on delivering measurable results for your underwriting and claims operations.

Revenue
$12.8M
Customers
-
Year founded
2018
Funding
-
Team size
116
Location
United States
Compare Retrocausal with Gradient AI
16Gradient AI logo
Gradient AI

AI & Machine Learning Operationalization (MLOps) Software

Gradient AI provides award-winning artificial intelligence (AI) solutions for the insurance industry. Its solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. Unlike other AI solutions that use a limited claims and underwriting dataset, Gradient's SaaS platform leverages a vast industry data lake comprising tens of millions of policies and claims. It also incorporates key features including economic, health, geographic, and demographic information. Customers include some of the most recognized insurance carriers, MGAs, MGUs, TPAs, risk pools, PEOs, and large self-insured employers across all major lines of insurance. By using Gradient AI's solutions, insurers of all types achieve a better return on risk. We are proud to have been recognized by Built In five years in a row, including two categories in 2025––Best Place to Work in Boston and Best Midsize Places to Work in Boston! Check out our page here: https://www.builtinboston.com/company/ Gradient AI was founded in to address the need for state-of-the-art AI and Machine Learning (ML) solutions for the trillion-dollar insurance industry. Our software-as-a-service platform uses AI to help commercial insurers automate and improve underwriting results, reduce claim costs, and improve operational efficiencies. Our software and models are utilized by many of the world’s most recognized Insurance Carriers, MGAs, TPAs, Pools, PEOs and more. Our team of expert Data Scientists and Insurance Technology experts have an exceptional history of building wildly successful insurance technology companies, with the most satisfied customers in the industry. At GradientAI we focus exclusively on delivering measurable results for your underwriting and claims operations.

Revenue
$12.8M
Customers
-
Year founded
2018
Funding
-
Team size
116
Location
United States
Compare Retrocausal with Snoop
17Snoop logo
Snoop

AI & Machine Learning Operationalization (MLOps) Software

Powered by open banking, Snoop is an award-winning consumer focused business that helps people spend, save and live smarter. Launched in April 2020 by Dame Jayne-Anne Gadhia, the app provides data-driven, personalised insights (‘Snoops’) to help consumers find their biggest money saving opportunities. Recognised by the British Bank Awards for ‘Best Innovation of the Year 2021’, Snoop aims to transform traditional services like retail banking, money management and price comparison into more intelligent and personalised services to make everyone better off.

Revenue
$12.8M
Customers
-
Year founded
2019
Funding
-
Team size
116
Location
United Kingdom
Compare Retrocausal with Gradient AI
18Gradient AI logo
Gradient AI

AI & Machine Learning Operationalization (MLOps) Software

Gradient AI provides award-winning artificial intelligence (AI) solutions for the insurance industry. Its solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. Unlike other AI solutions that use a limited claims and underwriting dataset, Gradient's SaaS platform leverages a vast industry data lake comprising tens of millions of policies and claims. It also incorporates key features including economic, health, geographic, and demographic information. Customers include some of the most recognized insurance carriers, MGAs, MGUs, TPAs, risk pools, PEOs, and large self-insured employers across all major lines of insurance. By using Gradient AI's solutions, insurers of all types achieve a better return on risk. We are proud to have been recognized by Built In five years in a row, including two categories in 2025––Best Place to Work in Boston and Best Midsize Places to Work in Boston! Check out our page here: https://www.builtinboston.com/company/ Gradient AI was founded in to address the need for state-of-the-art AI and Machine Learning (ML) solutions for the trillion-dollar insurance industry. Our software-as-a-service platform uses AI to help commercial insurers automate and improve underwriting results, reduce claim costs, and improve operational efficiencies. Our software and models are utilized by many of the world’s most recognized Insurance Carriers, MGAs, TPAs, Pools, PEOs and more. Our team of expert Data Scientists and Insurance Technology experts have an exceptional history of building wildly successful insurance technology companies, with the most satisfied customers in the industry. At GradientAI we focus exclusively on delivering measurable results for your underwriting and claims operations.

Revenue
$12.8M
Customers
-
Year founded
2018
Funding
-
Team size
116
Location
United States
Compare Retrocausal with Gradient AI
19Gradient AI logo
Gradient AI

AI & Machine Learning Operationalization (MLOps) Software

Gradient AI provides award-winning artificial intelligence (AI) solutions for the insurance industry. Its solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. Unlike other AI solutions that use a limited claims and underwriting dataset, Gradient's SaaS platform leverages a vast industry data lake comprising tens of millions of policies and claims. It also incorporates key features including economic, health, geographic, and demographic information. Customers include some of the most recognized insurance carriers, MGAs, MGUs, TPAs, risk pools, PEOs, and large self-insured employers across all major lines of insurance. By using Gradient AI's solutions, insurers of all types achieve a better return on risk. We are proud to have been recognized by Built In five years in a row, including two categories in 2025––Best Place to Work in Boston and Best Midsize Places to Work in Boston! Check out our page here: https://www.builtinboston.com/company/ Gradient AI was founded in to address the need for state-of-the-art AI and Machine Learning (ML) solutions for the trillion-dollar insurance industry. Our software-as-a-service platform uses AI to help commercial insurers automate and improve underwriting results, reduce claim costs, and improve operational efficiencies. Our software and models are utilized by many of the world’s most recognized Insurance Carriers, MGAs, TPAs, Pools, PEOs and more. Our team of expert Data Scientists and Insurance Technology experts have an exceptional history of building wildly successful insurance technology companies, with the most satisfied customers in the industry. At GradientAI we focus exclusively on delivering measurable results for your underwriting and claims operations.

Revenue
$12.8M
Customers
-
Year founded
2018
Funding
-
Team size
116
Location
United States
Compare Retrocausal with npaw.com
20npaw.com logo
npaw.com

AI & Machine Learning Operationalization (MLOps) Software

NPAW is the leading video intelligence company helping major online media services make smarter data-driven decisions to grow. A global leader in its space, NPAW has a decade of experience developing groundbreaking and scalable analytics solutions to optimize performance and user engagement to build media experiences that maximize revenue. We design tailored apps that provide advanced visibility of platform performance, audience behavior, advertising and content efficiency in real-time to support informed, strategic and data-driven decisions. NPAW serves more than 200+ video services and processes over 100 billion plays per year worldwide. Established in 2008 by founders of video streaming service RakutenTV, it has offices in Barcelona, New York and Hong Kong with teams throughout the world. For more information, visit www.npaw.com

Revenue
$12.8M
Customers
-
Year founded
2008
Funding
-
Team size
116
Location
Spain