- Revenue
- $5.3M
- Customers
- -
- Year founded
- 2019
- Funding
- $57.8M
- Team size
- 37
- Location
- United States
Top SynMax Alternatives, Competitors & Similar Software
Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Replicate, Replicate and Atomic Industries. These SynMax competitors have raised $247.5M and together serve more than 2.8K customers and employ over 781 team members.
- Revenue
- $5.3M
- Customers
- -
- Year founded
- 2019
- Funding
- $57.8M
- Team size
- 37
- Location
- United States

Data Science and Machine Learning Platforms
The world's first AI powered tool and die maker
- Revenue
- $5.3M
- Customers
- -
- Year founded
- 2019
- Funding
- -
- Team size
- 35
- Location
- United States

Data Science and Machine Learning Platforms
Kluster is the leading revenue analytics and forecasting platform for scaling technology businesses. We help revenue leaders hit target, every quarter by providing them with the playbook to plan, engineer, and execute their revenue strategy like the best technology businesses in the world. Hundreds of revenue teams use Kluster to deliver powerful forecasts, close their rep productivity gap, and inform a stronger go-to-market strategy. Head to https://kluster.com to find out how Kluster powers every meaningful revenue meeting, today.
- Revenue
- $5.3M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 35
- Location
- United Kingdom

Data Science and Machine Learning Platforms
Chassi provides visibility into work performance for manufacturing, distribution and supply chain teams that work with ERPs
- Revenue
- $5.2M
- Customers
- -
- Year founded
- 2016
- Funding
- $2.5M
- Team size
- 34
- Location
- United States

Data Science and Machine Learning Platforms
GoodJob is a SaaS / AI platform that provides deep matching of jobs and candidates.
- Revenue
- $5.3M
- Customers
- 1.4K
- Year founded
- 2019
- Funding
- $8.8M
- Team size
- 24
- Location
- United States

Data Science and Machine Learning Platforms
GoodJob is a SaaS / AI platform that provides deep matching of jobs and candidates.
- Revenue
- $5.3M
- Customers
- 1.4K
- Year founded
- 2019
- Funding
- $8.8M
- Team size
- 24
- Location
- United States

Data Science and Machine Learning Platforms
Operator of a cloud-based software service provider designed to offer energy trading services. The company's cloud-based software service-provider offers energy trading and management software for electricity, natural gas and NGLs and crude oil, enabling clients to eliminate the need for lengthy and expensive implementations.
- Revenue
- $5.3M
- Customers
- -
- Year founded
- 2012
- Funding
- $14.4M
- Team size
- 41
- Location
- United States

Data Science and Machine Learning Platforms
Developer of an outbound hiring SaaS platform designed to help organizations discover, engage and hire unfindable talent. The company's recruiting software uses machine intelligence to help recruiters target highly relevant candidates open to pursuing new opportunities and to convert target candidates into interested candidates with efficiency than traditional platforms, helping businesses discover and target high-fit talent, engage candidates through personalized interactions and accelerate hiring cycles at scale.
- Revenue
- $5.2M
- Customers
- -
- Year founded
- 2015
- Funding
- $15M
- Team size
- 17
- Location
- Singapore

Data Science and Machine Learning Platforms
Developer of an outbound hiring SaaS platform designed to help organizations discover, engage and hire unfindable talent. The company's recruiting software uses machine intelligence to help recruiters target highly relevant candidates open to pursuing new opportunities and to convert target candidates into interested candidates with efficiency than traditional platforms, helping businesses discover and target high-fit talent, engage candidates through personalized interactions and accelerate hiring cycles at scale.
- Revenue
- $5.2M
- Customers
- -
- Year founded
- 2015
- Funding
- $15M
- Team size
- 17
- Location
- Singapore

Data Science and Machine Learning Platforms
Exchanging control over your data layer for DBaaS is the fundamental transaction between customers and providers. Change that with the Sovereign DBaaS concept, which empowers you to get what you're actually looking for from DBaaS, full automation of your open-source database ops, without surrendering control. Whether you want to deploy and manage your high availability MongoDB, MySQL, MariaDB, PostgreSQL, TimescaleDB, Elasticsearch, SQL Server, or Redis clusters on-prem, in the cloud, or both, you can with our AI-driven automation platform. The company has enabled over 12,000 deployments to date via ClusterControl and counts Amalgamated Banks of South Africa (ABSA), Kaiser Permanente, the NHS, Black Hills Energy, and Vodafone among its customers. Find out how we can help give you back control, https://www.severalnines.com
- Revenue
- $5.3M
- Customers
- -
- Year founded
- 2011
- Funding
- -
- Team size
- 48
- Location
- Sweden

Data Science and Machine Learning Platforms
Exchanging control over your data layer for DBaaS is the fundamental transaction between customers and providers. Change that with the Sovereign DBaaS concept, which empowers you to get what you're actually looking for from DBaaS, full automation of your open-source database ops, without surrendering control. Whether you want to deploy and manage your high availability MongoDB, MySQL, MariaDB, PostgreSQL, TimescaleDB, Elasticsearch, SQL Server, or Redis clusters on-prem, in the cloud, or both, you can with our AI-driven automation platform. The company has enabled over 12,000 deployments to date via ClusterControl and counts Amalgamated Banks of South Africa (ABSA), Kaiser Permanente, the NHS, Black Hills Energy, and Vodafone among its customers. Find out how we can help give you back control, https://www.severalnines.com
- Revenue
- $5.3M
- Customers
- -
- Year founded
- 2011
- Funding
- -
- Team size
- 48
- Location
- Sweden

Data Science and Machine Learning Platforms
Timescale is addressing one of the largest challenges (and opportunities) in databases for years to come: helping developers, businesses, and society make sense of the data that humans and their machines are generating in copious amounts. TimescaleDB is the only open-source time-series database that natively supports full-SQL, combining the power, reliability, and ease-of-use of a relational database with the scalability typically seen in NoSQL systems. It is built on PostgreSQL and optimized for fast ingest and complex queries. TimescaleDB is deployed for powering mission-critical applications, including industrial data analysis, complex monitoring systems, operational data warehousing, financial risk management, and geospatial asset tracking across industries as varied as manufacturing, space, utilities, oil & gas, logistics, mining, ad tech, finance, telecom, and more. Timescale is backed by NEA, Benchmark, Icon Ventures, Redpoint Ventures, Two Sigma Ventures, and Tiger Global. Documentation: https://docs.timescale.com GitHub: https://github.com/timescale/timescaledb Twitter: https://twitter.com/timescaledb
- Revenue
- $5.3M
- Customers
- -
- Year founded
- 2015
- Funding
- $67.4M
- Team size
- 48
- Location
- United States

Data Science and Machine Learning Platforms
Affinda provides artificial intelligence technologies for the automation of high volume document workflows. We help companies process unstructured data, removing the need for high-cost and error-prone manual processes. Our approach is deliberately designed to overcome the typical issues associated with AI investment. Underpinning our approach is our proprietary technology in combination with the latest advancements in natural language processing, image recognition, and transfer learning. Our technology is industry agnostic, and applies to any document type, including emails, contracts, invoices, forms, financial statements and more.
- Revenue
- $5.3M
- Customers
- -
- Year founded
- 2012
- Funding
- -
- Team size
- 48
- Location
- Australia

Data Science and Machine Learning Platforms
Affinda provides artificial intelligence technologies for the automation of high volume document workflows. We help companies process unstructured data, removing the need for high-cost and error-prone manual processes. Our approach is deliberately designed to overcome the typical issues associated with AI investment. Underpinning our approach is our proprietary technology in combination with the latest advancements in natural language processing, image recognition, and transfer learning. Our technology is industry agnostic, and applies to any document type, including emails, contracts, invoices, forms, financial statements and more.
- Revenue
- $5.3M
- Customers
- -
- Year founded
- 2012
- Funding
- -
- Team size
- 48
- Location
- Australia

Data Science and Machine Learning Platforms
Affinda provides artificial intelligence technologies for the automation of high volume document workflows. We help companies process unstructured data, removing the need for high-cost and error-prone manual processes. Our approach is deliberately designed to overcome the typical issues associated with AI investment. Underpinning our approach is our proprietary technology in combination with the latest advancements in natural language processing, image recognition, and transfer learning. Our technology is industry agnostic, and applies to any document type, including emails, contracts, invoices, forms, financial statements and more.
- Revenue
- $5.3M
- Customers
- -
- Year founded
- 2012
- Funding
- -
- Team size
- 48
- Location
- Australia

Data Science and Machine Learning Platforms
Expertia AI uses Deep Tech to discover, develop and deploy skills to build the future of work for organizations and professionals. Our first offering; Expertia AI’s Virtual Recruiter allows the recruiters to publish jobs on more than 25 top portals in a single click and screen candidates to find the top 10 applicants for any tech job. The Virtual Recruiter does so by using its state of the art algorithm which identifies hidden skills in the resume, mines the web for professional data and projects the career path of every applicant. It then assigns a confidence scores to the skills, indicating the strength of their candidature and uses it to rank Top Candidate Profiles. Our second product; the Expertia Career Site, helps you collect, remotely manage the incoming job applications through your website, mailing campaigns and social media channels. Lastly our Expertia Skill Cloud allows you to store, upload and search your Personal Talent Pool by skills, roles, location and company and above all helping you access it for relevant passive candidates for new vacancies. Signup today at www.EXPERTIA.ai to access your FREE FOREVER version.
- Revenue
- $5.3M
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 48
- Location
- United States

Data Science and Machine Learning Platforms
FMSI provides easy-to-use, yet sophisticated, software-as-a-service solutions, under the FMSI OneCX platform. FMSI OneCX consists of four key products; FMSI Appointments, FMSI Lobby, FMSI Analytics, and FMSI Staff Scheduler. FMSI’s tools help financial institutions improve team collaboration, enhance productivity, and deliver better visitor experiences – powered by data-driven decisions and real-time feedback. Visit FMSI's website at https://www.fmsi.com to schedule a complimentary demo of the FMSI OneCX platform.
- Revenue
- $5.3M
- Customers
- -
- Year founded
- 1990
- Funding
- -
- Team size
- 48
- Location
- United States

Data Science and Machine Learning Platforms
Expertia AI uses Deep Tech to discover, develop and deploy skills to build the future of work for organizations and professionals. Our first offering; Expertia AI’s Virtual Recruiter allows the recruiters to publish jobs on more than 25 top portals in a single click and screen candidates to find the top 10 applicants for any tech job. The Virtual Recruiter does so by using its state of the art algorithm which identifies hidden skills in the resume, mines the web for professional data and projects the career path of every applicant. It then assigns a confidence scores to the skills, indicating the strength of their candidature and uses it to rank Top Candidate Profiles. Our second product; the Expertia Career Site, helps you collect, remotely manage the incoming job applications through your website, mailing campaigns and social media channels. Lastly our Expertia Skill Cloud allows you to store, upload and search your Personal Talent Pool by skills, roles, location and company and above all helping you access it for relevant passive candidates for new vacancies. Signup today at www.EXPERTIA.ai to access your FREE FOREVER version.
- Revenue
- $5.3M
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 48
- Location
- United States

Data Science and Machine Learning Platforms
Whether you are an eMSP, CPO, or a fleet, every charge decision is a direct impact on your bottom line. What if you could influence this while also solving navigation challenges for drivers? Chargetrip gives you the tools to do it. Our EV routing engine powers driver apps and EV sales tools for companies across e-mobility by predicting the energy consumption for any EV model on any route in any context. - Build software with the Chargetrip API. - License ready-made tools with Chargetrip No-Code. - Simulate fleet electrification with Evalo. Learn more on our website.
- Revenue
- $5.3M
- Customers
- -
- Year founded
- 2017
- Funding
- -
- Team size
- 48
- Location
- Netherlands


