Latka logo

Top HMD Labs Alternatives, Competitors & Similar Software

Founded 2020

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Taprint, Briteyellow and Briteyellow. These HMD Labs competitors have raised $2.4M and together serve more than 2.1K customers and employ over 171 team members.

Compare HMD Labs with Taprint
1
Taprint

AI & Machine Learning Operationalization (MLOps) Software

Developer of business intelligence software designed to accelerate internet of thing market infiltration. The company's software collects data from places where it exists but remains untapped, in a non-intrusive way, enabling businesses to tap into the internet of thing market and utilize its potential early on.

Revenue
$396K
Customers
-
Year founded
2014
Funding
-
Team size
18
Location
India
Compare HMD Labs with Briteyellow
2
Briteyellow

AI & Machine Learning Operationalization (MLOps) Software

Developer of SaaS platform and mobile application created to harness our wireless technology and software expertise. The company's Briteyellow WiFi cloud platform reduces the cost of installing and managing WiFi, BriteLocate3D Indoor mapping platform powers mobile applications and Briteyellow VoIP is an international calling application, enabling businesses to increase user engagement and interaction, lower the cost of customer attraction and retention and improve user experience, capture pedestrian motion data, increase loyalty and generate more revenue.

Revenue
$394K
Customers
-
Year founded
2003
Funding
-
Team size
4
Location
United Kingdom
Compare HMD Labs with Briteyellow
3
Briteyellow

AI & Machine Learning Operationalization (MLOps) Software

Developer of SaaS platform and mobile application created to harness our wireless technology and software expertise. The company's Briteyellow WiFi cloud platform reduces the cost of installing and managing WiFi, BriteLocate3D Indoor mapping platform powers mobile applications and Briteyellow VoIP is an international calling application, enabling businesses to increase user engagement and interaction, lower the cost of customer attraction and retention and improve user experience, capture pedestrian motion data, increase loyalty and generate more revenue.

Revenue
$394K
Customers
-
Year founded
2003
Funding
-
Team size
4
Location
United Kingdom
Compare HMD Labs with GearBrain
4
GearBrain

AI & Machine Learning Operationalization (MLOps) Software

A technology and data solutions company focused on simplifying Internet of Things or connected devices for consumers. (SaaS, licensing)

Revenue
$397K
Customers
-
Year founded
2015
Funding
-
Team size
5
Location
United States
Compare HMD Labs with GearBrain
5
GearBrain

AI & Machine Learning Operationalization (MLOps) Software

A technology and data solutions company focused on simplifying Internet of Things or connected devices for consumers. (SaaS, licensing)

Revenue
$397K
Customers
-
Year founded
2015
Funding
-
Team size
5
Location
United States
Compare HMD Labs with Keylabs AI
6
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 HMD Labs 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 HMD Labs with Ryax Technologies
8
Ryax Technologies

AI & Machine Learning Operationalization (MLOps) Software

Developer of an infrastructure software designed to build smart services on top of IOT. The company's software enables fast and complex computations of live data upon hybrid infrastructures like Edge, Fog and Cloud, which helps to ease and optimize various application executions, providing clients with better performance, simplicity, security and data privacy for their applications.

Revenue
$402.4K
Customers
-
Year founded
2017
Funding
-
Team size
10
Location
France
Compare HMD Labs with Ryax Technologies
9
Ryax Technologies

AI & Machine Learning Operationalization (MLOps) Software

Developer of an infrastructure software designed to build smart services on top of IOT. The company's software enables fast and complex computations of live data upon hybrid infrastructures like Edge, Fog and Cloud, which helps to ease and optimize various application executions, providing clients with better performance, simplicity, security and data privacy for their applications.

Revenue
$402.4K
Customers
-
Year founded
2017
Funding
-
Team size
10
Location
France
Compare HMD Labs with GoAutomate
10
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 HMD Labs with GoAutomate
11
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 HMD Labs with Restogro
12
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 HMD Labs with Restogro
13
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 HMD Labs 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 HMD Labs with IoT-Argus
15
IoT-Argus

AI & Machine Learning Operationalization (MLOps) Software

IoT-Argus is a full-stack security SaaS services provider.

Revenue
$386.1K
Customers
-
Year founded
2015
Funding
-
Team size
6
Location
China
Compare HMD Labs with Edge2Web
16
Edge2Web

AI & Machine Learning Operationalization (MLOps) Software

Provider of cloud-based visual tools intended to help industrial application builders to rapidly develop, assemble and deploy a wide range of IIoT-style applications. The company's tool can integrate data and applications across a growing portfolio of OT, IT and enterprise cloud environments, as well as minimizes IT disruption while scaling elastically to meet a wide range of industrial use cases, enabling clients to deliver applications within few days.

Revenue
$385.2K
Customers
-
Year founded
2016
Funding
-
Team size
7
Location
United States
Compare HMD Labs with Edge2Web
17
Edge2Web

AI & Machine Learning Operationalization (MLOps) Software

Provider of cloud-based visual tools intended to help industrial application builders to rapidly develop, assemble and deploy a wide range of IIoT-style applications. The company's tool can integrate data and applications across a growing portfolio of OT, IT and enterprise cloud environments, as well as minimizes IT disruption while scaling elastically to meet a wide range of industrial use cases, enabling clients to deliver applications within few days.

Revenue
$385.2K
Customers
-
Year founded
2016
Funding
-
Team size
7
Location
United States
Compare HMD Labs with Cally
18
Cally

AI & Machine Learning Operationalization (MLOps) Software

Cally is an Artificial Intelligence (AI) company based in India. They specialize in developing AI technologies and solutions.

Revenue
$385K
Customers
-
Year founded
2018
Funding
-
Team size
5
Location
United States
Compare HMD Labs with Noteworthy AI
19
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 HMD Labs with Noteworthy AI
20
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
Top HMD Labs Alternatives, Competitors & Similar Software | GetLatka