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Top ePoise Alternatives, Competitors & Similar Software

Founded 2012

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Noteworthy AI, FabMetrics and HRforce. These ePoise competitors have raised $44.3M and together serve more than 18.4K customers and employ over 154 team members.

Compare ePoise with Noteworthy AI
1
Noteworthy AI

AI & Machine Learning Operationalization (MLOps) Software

Real-time, AI-Powered Asset Inspection & Inventory for Electric Utilities

Revenue
$384.2K
Customers
-
Year founded
2020
Funding
-
Team size
20
Location
United States
Compare ePoise with FabMetrics
2
FabMetrics

AI & Machine Learning Operationalization (MLOps) Software

FabMetrics is founded to give access to any size of manufacturing companies into the world of emerging technologies such as IoT, Big Data, Machine Learning and Cloud Computing.

Revenue
$383.8K
Customers
-
Year founded
2017
Funding
-
Team size
3
Location
Netherlands
Compare ePoise with HRforce
3
HRforce

AI & Machine Learning Operationalization (MLOps) Software

HRforce is a database and an intelligent talent matching platform.

Revenue
$383.3K
Customers
-
Year founded
2015
Funding
-
Team size
3
Location
China
Compare ePoise with GoAutomate
4
GoAutomate

AI & Machine Learning Operationalization (MLOps) Software

GoAutomate.ai is a company that specializes in intelligently automating businesses. They provide information technology and services to help businesses automate their processes. They have a team of 3 and generate a revenue of $150.5K. They have 280 competitors and alternatives in the market. GoAutomate.ai was founded in XXXX (unknown year).

Revenue
$387.6K
Customers
-
Year founded
2020
Funding
-
Team size
8
Location
Canada
Compare ePoise with GoAutomate
5
GoAutomate

AI & Machine Learning Operationalization (MLOps) Software

GoAutomate.ai is a company that specializes in intelligently automating businesses. They provide information technology and services to help businesses automate their processes. They have a team of 3 and generate a revenue of $150.5K. They have 280 competitors and alternatives in the market. GoAutomate.ai was founded in XXXX (unknown year).

Revenue
$387.6K
Customers
-
Year founded
2020
Funding
-
Team size
8
Location
Canada
Compare ePoise with Prentus
6
Prentus

AI & Machine Learning Operationalization (MLOps) Software

Match startups with tech interns, Get matched with a tech intern in as little as 7 days

Revenue
$380K
Customers
8
Year founded
2020
Funding
-
Team size
5
Location
United States
Compare ePoise with Keylabs AI
7
Keylabs AI

AI & Machine Learning Operationalization (MLOps) Software

Keylabs merges advanced annotation tools, training of Machine Learning models, operation and project management in a one-stop shop platform.

Revenue
$392K
Customers
-
Year founded
2019
Funding
$1.2M
Team size
8
Location
Israel
Compare ePoise with HMD Labs
8
HMD Labs

AI & Machine Learning Operationalization (MLOps) Software

Stealth mode SaaS operating at the intersection of digital transformation and intelligent medical devices

Revenue
$395.3K
Customers
-
Year founded
2020
Funding
$2M
Team size
9
Location
United States
Compare ePoise with HMD Labs
9
HMD Labs

AI & Machine Learning Operationalization (MLOps) Software

Stealth mode SaaS operating at the intersection of digital transformation and intelligent medical devices

Revenue
$395.3K
Customers
-
Year founded
2020
Funding
$2M
Team size
9
Location
United States
Compare ePoise with HackerTrail
10
HackerTrail

AI & Machine Learning Operationalization (MLOps) Software

Operator of a cloud-based recruitment platform designed to source and connect the right candidates with the right employer. The company's online recruitment platform offers services like sourcing, screening and interviewing candidates can end up taking months of effort, directly impacting business productivity, it prevents interview fatigue and empowers hiring managers to focus their resources only on the right candidates, enabling users to get matched with the right jobs and put at the forefront of employers and businessesto focus on their core activity.

Revenue
$398.1K
Customers
-
Year founded
2013
Funding
-
Team size
21
Location
Singapore
Compare ePoise with Inboarding
11
Inboarding

AI & Machine Learning Operationalization (MLOps) Software

We automate the onboarding of new hires with an inclusive perspective and use chatbots to create awareness using adaptive Micro Learning focused on inclusion for gender, culture and disabilities.

Revenue
$398.8K
Customers
-
Year founded
2019
Funding
-
Team size
4
Location
Brazil
Compare ePoise with Codapay
12
Codapay

AI & Machine Learning Operationalization (MLOps) Software

Codapay sets out to challenge accepted norms with pioneering payroll software for the recruitment industry.

Revenue
$366.9K
Customers
17K
Year founded
2016
Funding
-
Team size
4
Location
United Kingdom
Compare ePoise with Dashworks
13
Dashworks

AI & Machine Learning Operationalization (MLOps) Software

The Fastest Internal Search For Teams

Revenue
$366K
Customers
-
Year founded
2020
Funding
-
Team size
13
Location
United States
Compare ePoise with Restogro
14
Restogro

AI & Machine Learning Operationalization (MLOps) Software

We at Restogro serve businesses across the globe in the F&B sector through our esteemed POS, CRM, Online integrated platform, KDS, Waiters app, Loyalty program, Feedback management system, and much more. We are integrated with Swiggy, Zomato, Dunzo, Scootsy, etc to serve our target businesses better through machine learning and AI-driven insights. Also, our best in class products are being white-labeled by a handful of POS vendors and hardware vendors. We aim to disrupt the way business in the F&B sector works and the F&B consulting sector by offering technology and AI-driven solutions that serve best for end-end management and business improvement. , restogro.com is recognized by a London-based firm as one of the top 10 machine learning firms in Bangalore- https://www.linkedin.com/posts/kousshikram_10-most-innovative-bangalore-city-based-machine-activity-6836906015095709696-cMtz Has grown overseas over the past few years with huge customer base acquisition under the leadership of Kousshik Ram S R and his CTO, with his development team whom he is thankful for. On top of serving direct clients, Restogro also caters to its competitors. The major problems observed on speaking with restaurant owners and other ERP/ Point-of-sale providers in the market were with: - Restaurant owners not getting an end-end value proposition to uplift their way of operations - Existing ERP tool owners are unable to cater to their customers with what they ‘needed’ but not what they could ‘want’ Restogro addressed the first concern through their flagship product which constitutes within itself an embodiment of 10+ product solutions, each of which Restogro highly customises for their specific use case rather than sticking to a version and asking them to adapt to it, Restogro works with each of their customers, understand their business use case and consult them with customised versions that work best for them. The second concern was the biggest. As and when Restogro built its flagship solutions around the basic POS- they found that not every one of their competitors had what restaurant owners needed- like inventory management system, menu builder, kitchen display system, workforce management module, CRM, loyalty programs, etc. Hence they reached out to such competitors of ours who could not build it or scale it themselves and gave them a single- end-point integration. Using this integration, they integrate with Restogro and get white-labelled products of Restogro added to their product offerings. While the maintenance, development entirely lies with Restogro, all the other competitors did was integrate their existing solution with Restogro, and in the place of selling only their 1 product solution, they now were able to sell more than 10 solutions since Restogro gave them all of those for them to re-sell to their clients, thereby their clients also become Restogro's clients. This is the major differentiation Restogro brought to the market on top of solving the existing problem in the F&B sector

Revenue
$404.4K
Customers
700
Year founded
2019
Funding
-
Team size
6
Location
India
Compare ePoise with Restogro
15
Restogro

AI & Machine Learning Operationalization (MLOps) Software

We at Restogro serve businesses across the globe in the F&B sector through our esteemed POS, CRM, Online integrated platform, KDS, Waiters app, Loyalty program, Feedback management system, and much more. We are integrated with Swiggy, Zomato, Dunzo, Scootsy, etc to serve our target businesses better through machine learning and AI-driven insights. Also, our best in class products are being white-labeled by a handful of POS vendors and hardware vendors. We aim to disrupt the way business in the F&B sector works and the F&B consulting sector by offering technology and AI-driven solutions that serve best for end-end management and business improvement. , restogro.com is recognized by a London-based firm as one of the top 10 machine learning firms in Bangalore- https://www.linkedin.com/posts/kousshikram_10-most-innovative-bangalore-city-based-machine-activity-6836906015095709696-cMtz Has grown overseas over the past few years with huge customer base acquisition under the leadership of Kousshik Ram S R and his CTO, with his development team whom he is thankful for. On top of serving direct clients, Restogro also caters to its competitors. The major problems observed on speaking with restaurant owners and other ERP/ Point-of-sale providers in the market were with: - Restaurant owners not getting an end-end value proposition to uplift their way of operations - Existing ERP tool owners are unable to cater to their customers with what they ‘needed’ but not what they could ‘want’ Restogro addressed the first concern through their flagship product which constitutes within itself an embodiment of 10+ product solutions, each of which Restogro highly customises for their specific use case rather than sticking to a version and asking them to adapt to it, Restogro works with each of their customers, understand their business use case and consult them with customised versions that work best for them. The second concern was the biggest. As and when Restogro built its flagship solutions around the basic POS- they found that not every one of their competitors had what restaurant owners needed- like inventory management system, menu builder, kitchen display system, workforce management module, CRM, loyalty programs, etc. Hence they reached out to such competitors of ours who could not build it or scale it themselves and gave them a single- end-point integration. Using this integration, they integrate with Restogro and get white-labelled products of Restogro added to their product offerings. While the maintenance, development entirely lies with Restogro, all the other competitors did was integrate their existing solution with Restogro, and in the place of selling only their 1 product solution, they now were able to sell more than 10 solutions since Restogro gave them all of those for them to re-sell to their clients, thereby their clients also become Restogro's clients. This is the major differentiation Restogro brought to the market on top of solving the existing problem in the F&B sector

Revenue
$404.4K
Customers
700
Year founded
2019
Funding
-
Team size
6
Location
India
Compare ePoise with Metigy
16
Metigy

AI & Machine Learning Operationalization (MLOps) Software

Developer of a SaaS based social optimization platform designed to optimize digital marketing. The company's social optimization platform provides a social, digital and mobile ecosystem to measure performance and optimize digital marketing by using machine learning, maps historical and real-time trends, enabling users to plan, schedule and manage their content in one place.

Revenue
$408.1K
Customers
-
Year founded
2015
Funding
$19.6M
Team size
8
Location
Australia
Compare ePoise with Metigy
17
Metigy

AI & Machine Learning Operationalization (MLOps) Software

Developer of a SaaS based social optimization platform designed to optimize digital marketing. The company's social optimization platform provides a social, digital and mobile ecosystem to measure performance and optimize digital marketing by using machine learning, maps historical and real-time trends, enabling users to plan, schedule and manage their content in one place.

Revenue
$408.1K
Customers
-
Year founded
2015
Funding
$19.6M
Team size
8
Location
Australia
Compare ePoise with InsertChatGPT
18
InsertChatGPT

AI & Machine Learning Operationalization (MLOps) Software

Create Your Own AI Chatbot Using Your Data And Branding

Revenue
$360K
Customers
-
Year founded
2023
Funding
-
Team size
1
Location
France
Compare ePoise with GleeTech
19
GleeTech

AI & Machine Learning Operationalization (MLOps) Software

Custom AI/Machine learning software solutions

Revenue
$360K
Customers
-
Year founded
2012
Funding
-
Team size
5
Location
New Zealand
Compare ePoise with GleeTech
20
GleeTech

AI & Machine Learning Operationalization (MLOps) Software

Custom AI/Machine learning software solutions

Revenue
$360K
Customers
-
Year founded
2012
Funding
-
Team size
5
Location
New Zealand
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