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Top doc.ai Alternatives, Competitors & Similar Software

Founded 2016

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Kortical, Aggregate Singularity and Kortical. These doc.ai competitors have raised - and together serve more than - customers and employ over 240 team members.

Compare doc.ai with Kortical
1
Kortical

AI & Machine Learning Operationalization (MLOps) Software

Kortical - end to end ML platform - editable in code, built for data scientists to assist with preparing data, building ML models, deploying scalable models with a few clicks and managing them with ML Ops functionality. Kortical is different as it is built with transparency and control, where the code is editable vs hidden behind a UI. Some of the unique tools are, scoring the model improvement when you build new features before you build the model, explainability on DNN for NLP back into text and app hosting for easy scalable ML solutions. Kortical is an intuitive, code optional, platform that is enjoyable to use as it works with your current workflow vs hiding it behind a clunky web app.

Revenue
$1.3M
Customers
-
Year founded
2016
Funding
-
Team size
12
Location
United States
Compare doc.ai with Kortical
3
Kortical

AI & Machine Learning Operationalization (MLOps) Software

Kortical - end to end ML platform - editable in code, built for data scientists to assist with preparing data, building ML models, deploying scalable models with a few clicks and managing them with ML Ops functionality. Kortical is different as it is built with transparency and control, where the code is editable vs hidden behind a UI. Some of the unique tools are, scoring the model improvement when you build new features before you build the model, explainability on DNN for NLP back into text and app hosting for easy scalable ML solutions. Kortical is an intuitive, code optional, platform that is enjoyable to use as it works with your current workflow vs hiding it behind a clunky web app.

Revenue
$1.3M
Customers
-
Year founded
2016
Funding
-
Team size
12
Location
United States
Compare doc.ai with Kortical
4
Kortical

AI & Machine Learning Operationalization (MLOps) Software

Kortical - end to end ML platform - editable in code, built for data scientists to assist with preparing data, building ML models, deploying scalable models with a few clicks and managing them with ML Ops functionality. Kortical is different as it is built with transparency and control, where the code is editable vs hidden behind a UI. Some of the unique tools are, scoring the model improvement when you build new features before you build the model, explainability on DNN for NLP back into text and app hosting for easy scalable ML solutions. Kortical is an intuitive, code optional, platform that is enjoyable to use as it works with your current workflow vs hiding it behind a clunky web app.

Revenue
$1.3M
Customers
-
Year founded
2016
Funding
-
Team size
12
Location
United States
Compare doc.ai with Kortical
5
Kortical

AI & Machine Learning Operationalization (MLOps) Software

Kortical - end to end ML platform - editable in code, built for data scientists to assist with preparing data, building ML models, deploying scalable models with a few clicks and managing them with ML Ops functionality. Kortical is different as it is built with transparency and control, where the code is editable vs hidden behind a UI. Some of the unique tools are, scoring the model improvement when you build new features before you build the model, explainability on DNN for NLP back into text and app hosting for easy scalable ML solutions. Kortical is an intuitive, code optional, platform that is enjoyable to use as it works with your current workflow vs hiding it behind a clunky web app.

Revenue
$1.3M
Customers
-
Year founded
2016
Funding
-
Team size
12
Location
United States
Compare doc.ai with LevelFields
6
LevelFields

AI & Machine Learning Operationalization (MLOps) Software

LevelFields helps stock and options traders leverage AI to automate investment research, find the best stocks faster, monitor more stocks easily, and improve decision-making. By providing stock forecasts, stock and options traders can better pinpoint their entry and exit points to make more money and lose less.

Revenue
$1.3M
Customers
-
Year founded
-
Funding
-
Team size
12
Location
United States
Compare doc.ai with LevelFields
7
LevelFields

AI & Machine Learning Operationalization (MLOps) Software

LevelFields helps stock and options traders leverage AI to automate investment research, find the best stocks faster, monitor more stocks easily, and improve decision-making. By providing stock forecasts, stock and options traders can better pinpoint their entry and exit points to make more money and lose less.

Revenue
$1.3M
Customers
-
Year founded
-
Funding
-
Team size
12
Location
United States
Compare doc.ai with ekai
8
ekai

AI & Machine Learning Operationalization (MLOps) Software

Enterprise data is typically fragmented, leading to inefficiencies in accessing and processing it. With AI-enabled DataOps automation, ekai is transforming the way organizations utilize their data. Every day, we enable tech and non-tech teams to take charge of their data with automated data operations. Instead of investing heavily and waiting for months, enterprises save time and money with ekai’s automated, quality-assured DataOps. ekai is the only tool your data needs, speeding up time to value and leveraging your data to enable context-driven AI use cases.

Revenue
$1.3M
Customers
-
Year founded
2024
Funding
-
Team size
12
Location
United States
Compare doc.ai with Tektonic AI
9
Tektonic AI

AI & Machine Learning Operationalization (MLOps) Software

Tektonic AI is a startup developing GenAI agents to automate complex and dynamic enterprise processes. It combines generative AI with symbolic methods to create a flexible automation system that can adapt to specific business needs and contexts. The platform aims to streamline tasks in areas like sales and revenue operations, reducing manual work and improving efficiency.

Revenue
$1.3M
Customers
-
Year founded
2023
Funding
-
Team size
12
Location
United States
Compare doc.ai with Cogmento
10
Cogmento

AI & Machine Learning Operationalization (MLOps) Software

CRM, AI & Verifiable Credentials for any business.

Revenue
$1.3M
Customers
-
Year founded
2017
Funding
-
Team size
12
Location
United States
Compare doc.ai with ekai
11
ekai

AI & Machine Learning Operationalization (MLOps) Software

Enterprise data is typically fragmented, leading to inefficiencies in accessing and processing it. With AI-enabled DataOps automation, ekai is transforming the way organizations utilize their data. Every day, we enable tech and non-tech teams to take charge of their data with automated data operations. Instead of investing heavily and waiting for months, enterprises save time and money with ekai’s automated, quality-assured DataOps. ekai is the only tool your data needs, speeding up time to value and leveraging your data to enable context-driven AI use cases.

Revenue
$1.3M
Customers
-
Year founded
2024
Funding
-
Team size
12
Location
United States
Compare doc.ai with Kortical
12
Kortical

AI & Machine Learning Operationalization (MLOps) Software

Kortical - end to end ML platform - editable in code, built for data scientists to assist with preparing data, building ML models, deploying scalable models with a few clicks and managing them with ML Ops functionality. Kortical is different as it is built with transparency and control, where the code is editable vs hidden behind a UI. Some of the unique tools are, scoring the model improvement when you build new features before you build the model, explainability on DNN for NLP back into text and app hosting for easy scalable ML solutions. Kortical is an intuitive, code optional, platform that is enjoyable to use as it works with your current workflow vs hiding it behind a clunky web app.

Revenue
$1.3M
Customers
-
Year founded
2016
Funding
-
Team size
12
Location
United States
Compare doc.ai with Cogmento
13
Cogmento

AI & Machine Learning Operationalization (MLOps) Software

CRM, AI & Verifiable Credentials for any business.

Revenue
$1.3M
Customers
-
Year founded
2017
Funding
-
Team size
12
Location
United States
Compare doc.ai with LevelFields
14
LevelFields

AI & Machine Learning Operationalization (MLOps) Software

LevelFields helps stock and options traders leverage AI to automate investment research, find the best stocks faster, monitor more stocks easily, and improve decision-making. By providing stock forecasts, stock and options traders can better pinpoint their entry and exit points to make more money and lose less.

Revenue
$1.3M
Customers
-
Year founded
-
Funding
-
Team size
12
Location
United States
Compare doc.ai with Axe
15
Axe

AI & Machine Learning Operationalization (MLOps) Software

Axe is reimagining logistics with AI-powered workers for carriers, brokers, and ops teams.

Revenue
$1.3M
Customers
-
Year founded
2019
Funding
-
Team size
12
Location
United Kingdom
Compare doc.ai with LevelFields
16
LevelFields

AI & Machine Learning Operationalization (MLOps) Software

LevelFields helps stock and options traders leverage AI to automate investment research, find the best stocks faster, monitor more stocks easily, and improve decision-making. By providing stock forecasts, stock and options traders can better pinpoint their entry and exit points to make more money and lose less.

Revenue
$1.3M
Customers
-
Year founded
-
Funding
-
Team size
12
Location
United States
Compare doc.ai with ekai
17
ekai

AI & Machine Learning Operationalization (MLOps) Software

Enterprise data is typically fragmented, leading to inefficiencies in accessing and processing it. With AI-enabled DataOps automation, ekai is transforming the way organizations utilize their data. Every day, we enable tech and non-tech teams to take charge of their data with automated data operations. Instead of investing heavily and waiting for months, enterprises save time and money with ekai’s automated, quality-assured DataOps. ekai is the only tool your data needs, speeding up time to value and leveraging your data to enable context-driven AI use cases.

Revenue
$1.3M
Customers
-
Year founded
2024
Funding
-
Team size
12
Location
United States
Compare doc.ai with ekai
18
ekai

AI & Machine Learning Operationalization (MLOps) Software

Enterprise data is typically fragmented, leading to inefficiencies in accessing and processing it. With AI-enabled DataOps automation, ekai is transforming the way organizations utilize their data. Every day, we enable tech and non-tech teams to take charge of their data with automated data operations. Instead of investing heavily and waiting for months, enterprises save time and money with ekai’s automated, quality-assured DataOps. ekai is the only tool your data needs, speeding up time to value and leveraging your data to enable context-driven AI use cases.

Revenue
$1.3M
Customers
-
Year founded
2024
Funding
-
Team size
12
Location
United States
Compare doc.ai with Axe
19
Axe

AI & Machine Learning Operationalization (MLOps) Software

Axe is reimagining logistics with AI-powered workers for carriers, brokers, and ops teams.

Revenue
$1.3M
Customers
-
Year founded
2019
Funding
-
Team size
12
Location
United Kingdom
Top doc.ai Alternatives, Competitors & Similar Software | GetLatka