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Top Ontologics Data Alternatives, Competitors & Similar Software

Founded 2017

Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as SERP AI, SERP AI and ViridisChem, Inc.. These Ontologics Data competitors have raised - and together serve more than - customers and employ over 60 team members.

Compare Ontologics Data with SERP AI
1
SERP AI

Data Science and Machine Learning Platforms

SERP AI is an artificial intelligence research company & platform for all things AI / ML & Data Science

Revenue
$330K
Customers
-
Year founded
2022
Funding
-
Team size
3
Location
United Kingdom
Compare Ontologics Data with SERP AI
2
SERP AI

Data Science and Machine Learning Platforms

SERP AI is an artificial intelligence research company & platform for all things AI / ML & Data Science

Revenue
$330K
Customers
-
Year founded
2022
Funding
-
Team size
3
Location
United Kingdom
Compare Ontologics Data with ViridisChem, Inc.
3
ViridisChem, Inc.

Data Science and Machine Learning Platforms

ViridisChem offers a powerful AI driven self-learning cloud software platform that provides REAL-TIME toxicity evaluation of every chemical and mixture covering even new drug-targets and proprietary chemicals. Supported by in-house toxicity database with 90 million chemicals and 2.5 billion properties, comprehensive experimental data repository, global regulatory database covering over 135 US and international regulatory lists, and over 50 prediction models providing information on 60 different endpoints, its product Chemical Analyzer visually shows chemical’s toxicity implications (environmental, health and safety) to help critical R&D decision-making. By providing over 50 chemical and toxicological properties, global regulatory concerns and full GHS classification, it is a great tool to build/validate SDS, select less toxic raw material, and to explore least toxic drug targets analogs. Some of the most unique capabilities we offer are: - Single platform with toxicity information available from most reliable sources, - Real-time execution of most industry-recognized toxicity prediction models offering over 80% accuracy, and - Large repository of experimental data allowing us to use deep-machine learning to predict new health-related tox-endpoints

Revenue
$330K
Customers
-
Year founded
2014
Funding
-
Team size
3
Location
United States
Compare Ontologics Data with SERP AI
4
SERP AI

Data Science and Machine Learning Platforms

SERP AI is an artificial intelligence research company & platform for all things AI / ML & Data Science

Revenue
$330K
Customers
-
Year founded
2022
Funding
-
Team size
3
Location
United Kingdom
Compare Ontologics Data with ViridisChem, Inc.
7
ViridisChem, Inc.

Data Science and Machine Learning Platforms

ViridisChem offers a powerful AI driven self-learning cloud software platform that provides REAL-TIME toxicity evaluation of every chemical and mixture covering even new drug-targets and proprietary chemicals. Supported by in-house toxicity database with 90 million chemicals and 2.5 billion properties, comprehensive experimental data repository, global regulatory database covering over 135 US and international regulatory lists, and over 50 prediction models providing information on 60 different endpoints, its product Chemical Analyzer visually shows chemical’s toxicity implications (environmental, health and safety) to help critical R&D decision-making. By providing over 50 chemical and toxicological properties, global regulatory concerns and full GHS classification, it is a great tool to build/validate SDS, select less toxic raw material, and to explore least toxic drug targets analogs. Some of the most unique capabilities we offer are: - Single platform with toxicity information available from most reliable sources, - Real-time execution of most industry-recognized toxicity prediction models offering over 80% accuracy, and - Large repository of experimental data allowing us to use deep-machine learning to predict new health-related tox-endpoints

Revenue
$330K
Customers
-
Year founded
2014
Funding
-
Team size
3
Location
United States
Compare Ontologics Data with NeuralPit
9
NeuralPit

Data Science and Machine Learning Platforms

NeuralPit offers affordable AI tools (alternative to Microsoft Copilot) for businesses in areas like marketing, HR, finance, and more. Collaborate on projects, upload diverse data formats, and discover insights anytime, anywhere.

Revenue
$330K
Customers
-
Year founded
-
Funding
-
Team size
3
Location
Australia
Compare Ontologics Data with BagelDB
10
BagelDB

Data Science and Machine Learning Platforms

A Headless CMS that works more like a database. Querying, Search, Realtime Data and more

Revenue
$330K
Customers
-
Year founded
2017
Funding
-
Team size
3
Location
Israel
Compare Ontologics Data with Exante
11
Exante

Data Science and Machine Learning Platforms

Exante is an AI-powered contract repository, which helps business operators effortlessly organize their commercial agreements and achieve a new level of visibility into their contracts.

Revenue
$330K
Customers
-
Year founded
-
Funding
-
Team size
3
Location
United States
Compare Ontologics Data with DEX AI
14
DEX AI

Data Science and Machine Learning Platforms

Sharing Individual Notion pages just got easier. Now you can share individual pages from any public or private workspace effortlessly. Through Dex, you can share what you want straight from Notion. Oh, and did we mention we've built in analytics? Now you know exactly when your page was viewed, for how long, and if any links were clicked. We even convert your pages into a easy to digest slide deck for easy reading.

Revenue
$330K
Customers
-
Year founded
-
Funding
-
Team size
3
Location
United States
Compare Ontologics Data with ViridisChem, Inc.
15
ViridisChem, Inc.

Data Science and Machine Learning Platforms

ViridisChem offers a powerful AI driven self-learning cloud software platform that provides REAL-TIME toxicity evaluation of every chemical and mixture covering even new drug-targets and proprietary chemicals. Supported by in-house toxicity database with 90 million chemicals and 2.5 billion properties, comprehensive experimental data repository, global regulatory database covering over 135 US and international regulatory lists, and over 50 prediction models providing information on 60 different endpoints, its product Chemical Analyzer visually shows chemical’s toxicity implications (environmental, health and safety) to help critical R&D decision-making. By providing over 50 chemical and toxicological properties, global regulatory concerns and full GHS classification, it is a great tool to build/validate SDS, select less toxic raw material, and to explore least toxic drug targets analogs. Some of the most unique capabilities we offer are: - Single platform with toxicity information available from most reliable sources, - Real-time execution of most industry-recognized toxicity prediction models offering over 80% accuracy, and - Large repository of experimental data allowing us to use deep-machine learning to predict new health-related tox-endpoints

Revenue
$330K
Customers
-
Year founded
2014
Funding
-
Team size
3
Location
United States
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