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Top NLP Logix Alternatives, Competitors & Similar Software

Founded 2011

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Synapsica Healthcare, Cohesion and Noki. These NLP Logix competitors have raised $31.8M and together serve more than - customers and employ over 720 team members.

Compare NLP Logix with Cohesion
2
Cohesion

AI & Machine Learning Operationalization (MLOps) Software

Cohesion consults on IT and business strategy for the banking and financial services, insurance and retail industries

Revenue
$3.9M
Customers
-
Year founded
2012
Funding
-
Team size
9
Location
United States
Compare NLP Logix with Noki
3
Noki

AI & Machine Learning Operationalization (MLOps) Software

Powering the leading B2B Databases, Buyer Intent and Market Research Platforms with Custom AI Signals

Revenue
$3.9M
Customers
-
Year founded
2021
Funding
-
Team size
26
Location
United Kingdom
Compare NLP Logix with Noetik
4
Noetik

AI & Machine Learning Operationalization (MLOps) Software

Noetik is an AI-native biotechnology company that leverages advanced machine learning methods to discover and develop cancer immunotherapies.

Revenue
$3.9M
Customers
-
Year founded
2022
Funding
-
Team size
42
Location
United States
Compare NLP Logix with Noetik
5
Noetik

AI & Machine Learning Operationalization (MLOps) Software

Noetik is an AI-native biotechnology company that leverages advanced machine learning methods to discover and develop cancer immunotherapies.

Revenue
$3.9M
Customers
-
Year founded
2022
Funding
-
Team size
42
Location
United States
Compare NLP Logix with Datricks
6
Datricks

AI & Machine Learning Operationalization (MLOps) Software

Datricks is a technology startup that provides an AI-powered financial integrity platform designed to monitor business processes, detect anomalies, and support audits. The company focuses on risk mitigation and compliance, transforming businesses by eliminating financial exposures such as human errors, non-compliance, and fraud.

Revenue
$3.9M
Customers
-
Year founded
2019
Funding
-
Team size
35
Location
United States
Compare NLP Logix with Noki
8
Noki

AI & Machine Learning Operationalization (MLOps) Software

Powering the leading B2B Databases, Buyer Intent and Market Research Platforms with Custom AI Signals

Revenue
$3.9M
Customers
-
Year founded
2021
Funding
-
Team size
26
Location
United Kingdom
Compare NLP Logix with Noki
9
Noki

AI & Machine Learning Operationalization (MLOps) Software

Powering the leading B2B Databases, Buyer Intent and Market Research Platforms with Custom AI Signals

Revenue
$3.9M
Customers
-
Year founded
2021
Funding
-
Team size
26
Location
United Kingdom
Compare NLP Logix with Datricks
10
Datricks

AI & Machine Learning Operationalization (MLOps) Software

Datricks is a technology startup that provides an AI-powered financial integrity platform designed to monitor business processes, detect anomalies, and support audits. The company focuses on risk mitigation and compliance, transforming businesses by eliminating financial exposures such as human errors, non-compliance, and fraud.

Revenue
$3.9M
Customers
-
Year founded
2019
Funding
-
Team size
35
Location
United States
Compare NLP Logix with Datricks
11
Datricks

AI & Machine Learning Operationalization (MLOps) Software

Datricks is a technology startup that provides an AI-powered financial integrity platform designed to monitor business processes, detect anomalies, and support audits. The company focuses on risk mitigation and compliance, transforming businesses by eliminating financial exposures such as human errors, non-compliance, and fraud.

Revenue
$3.9M
Customers
-
Year founded
2019
Funding
-
Team size
35
Location
United States
Compare NLP Logix with SlicedHealth
12
SlicedHealth

AI & Machine Learning Operationalization (MLOps) Software

SlicedHealth empowers hospitals, health systems, specialty practices, and surgery centers to uncover hidden underpayments and denials. It provides technology solutions designed to assist healthcare organizations in managing revenue.

Revenue
$3.9M
Customers
-
Year founded
2019
Funding
-
Team size
34
Location
United States
Compare NLP Logix with Peel
13
Peel

AI & Machine Learning Operationalization (MLOps) Software

SaaS product automating analysis and reporting of the most popular metrics for consumer businesses

Revenue
$3.9M
Customers
-
Year founded
2019
Funding
-
Team size
24
Location
United States
Compare NLP Logix with Enso
14
Enso

AI & Machine Learning Operationalization (MLOps) Software

Self-Service Data Prep and Blend Built for Data Teams.

Revenue
$3.9M
Customers
-
Year founded
2018
Funding
-
Team size
26
Location
Poland
Compare NLP Logix with Bullpen Strategy Group
15
Bullpen Strategy Group

AI & Machine Learning Operationalization (MLOps) Software

Insights-focused public affairs and strategic advisory firm, specializing in analysis, communications strategy and project management

Revenue
$3.9M
Customers
-
Year founded
2019
Funding
-
Team size
49
Location
United States
Compare NLP Logix with Vuno
16
Vuno

AI & Machine Learning Operationalization (MLOps) Software

Developer of a medical data analysis platform intended to improve medical disease diagnosis. The company's diagnostics platform utilizes the machine and deep learning algorithms to analyze patient imaging data and gain insights that help doctors diagnose diseases, enabling researchers and physicians to quickly and accurately identify diseases and illnesses.

Revenue
$3.9M
Customers
-
Year founded
2014
Funding
$15M
Team size
95
Location
South Korea
Compare NLP Logix with Vuno
17
Vuno

AI & Machine Learning Operationalization (MLOps) Software

Developer of a medical data analysis platform intended to improve medical disease diagnosis. The company's diagnostics platform utilizes the machine and deep learning algorithms to analyze patient imaging data and gain insights that help doctors diagnose diseases, enabling researchers and physicians to quickly and accurately identify diseases and illnesses.

Revenue
$3.9M
Customers
-
Year founded
2014
Funding
$15M
Team size
95
Location
South Korea
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