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Top Datagrid AI Alternatives, Competitors & Similar Software

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Farseer, Corridor Platforms and Corridor Platforms. These Datagrid AI competitors have raised $18.2M and together serve more than - customers and employ over 620 team members.

Compare Datagrid AI with Farseer
1Farseer logo
Farseer

AI & Machine Learning Operationalization (MLOps) Software

Farseer is helping companies to eliminate manual work, improve the accuracy and security, as well as gain new insights in the domain of financial planning and analytics. You can imagine Farseer as an Excel specialised for finances, with robustness of a web application, amplified with predictive features. Our sweet spot clients are companies overgrowing spreadsheets, from 200+ employees, who already have multiple people doing financial planning. Farseer is self-service, and empowers users to build financial models - faster and easier then in Excel. Users can import actuals which are mapped into Farseer with the help of our AI algorithms. Based on plans, actuals and historical data - Farseer generates forecast for all revenue and cost categories. All dashboards and reports are updated automatically and enable fast creation of what-if scenarios on all levels. Existing FP&A software falls into 2 categories - those who target enterprise clients and are too complex, clunky and not flexible enough to support constant changes. We beat them by being fast to implement and simple to use. Compared to those legacy apps, Farseer is extremely flexible and blazingly fast. This the reason we have beaten Oracle - the market leader on a public tender. The other category are wizard-based tools aiming at SME’s. They lack the flexibility to create complex models and reports, and we beat them with the power we give to our users.

Revenue
$3.4M
Customers
-
Year founded
2016
Funding
-
Team size
31
Location
United States
Compare Datagrid AI with Corridor Platforms
2Corridor Platforms logo
Corridor Platforms

AI & Machine Learning Operationalization (MLOps) Software

Corridor Platforms is a leading decision workflow governance and automation capability designed by industry veterans to rapidly transform risk and marketing decisioning at banks, enabling them to leverage new data, AI and automation to create competitive excellence in revenue growth, risk control and operating efficiency in the age of digitization

Revenue
$3.4M
Customers
-
Year founded
2018
Funding
-
Team size
31
Location
United States
Compare Datagrid AI with Corridor Platforms
3Corridor Platforms logo
Corridor Platforms

AI & Machine Learning Operationalization (MLOps) Software

Corridor Platforms is a leading decision workflow governance and automation capability designed by industry veterans to rapidly transform risk and marketing decisioning at banks, enabling them to leverage new data, AI and automation to create competitive excellence in revenue growth, risk control and operating efficiency in the age of digitization

Revenue
$3.4M
Customers
-
Year founded
2018
Funding
-
Team size
31
Location
United States
Compare Datagrid AI with Octane11
4Octane11 logo
Octane11

AI & Machine Learning Operationalization (MLOps) Software

Octane11 is an AI-powered marketing analytics platform -- for B2B companies only -- that synthesizes paid, owned, and earned marketing, sales, and product usage data to deliver instant insights. We help B2B-focused agencies and enterprises with $50M+ in revenue improve marketing efficiency by 10x, deliver 5x more sales leads, and compare performance to 25 industry benchmarks. Launched in late 2020 and backed by top VCs and industry insiders, Octane11 is already helping some of the largest B2B enterprises break down data silos and turn every digital interaction into an actionable insight.

Revenue
$3.4M
Customers
-
Year founded
2019
Funding
$4.5M
Team size
31
Location
United States
Compare Datagrid AI with Metroc
5Metroc logo
Metroc

AI & Machine Learning Operationalization (MLOps) Software

We help construction companies to find new customers and gain a better market understanding. To achieve this goal we develop our own AI-based market data platform with a database of all properties, construction projects, and real estate deals.

Revenue
$3.4M
Customers
-
Year founded
2019
Funding
-
Team size
31
Location
Finland
Compare Datagrid AI with Advertima Vision AG
6Advertima Vision AG logo
Advertima Vision AG

AI & Machine Learning Operationalization (MLOps) Software

Advertima’s real-time In-store Retail Media solution transforms physical retail environments and stores into a revenue-generating Retail Media channel. We combine cutting-edge computer vision and advanced AI to transform in-store shoppers into anonymized, addressable, measurable audiences. Retailers can use this real-time audience-based data to transform their existing digital screens into smart, data-driven advertising platforms. They can target, reach, and measure shoppers who are already browsing and purchasing with the most suitable ads served via direct or programmatic bookings. Sophisticated analytics akin to online unlock and fuel a new era of performance-driven in-store media for Trade, Shopper, and Brand stakeholders. Advertima Vision AG was founded in 2021 in St.Gallen, Switzerland, by retail, media, and tech experts to become the market-leading In-store Retail Media solution. Our fast-growing team works with customers and technology partners worldwide. For more information, visit www.advertima.com.

Revenue
$3.4M
Customers
-
Year founded
2021
Funding
-
Team size
31
Location
Switzerland
Compare Datagrid AI with Komo
7Komo logo
Komo

AI & Machine Learning Operationalization (MLOps) Software

Komo is the Engagement OS that helps marketers design, build, and deploy full customer engagement journeys faster and smarter. Powered by AI, Komo unifies omnichannel distribution, interactive content, customer intelligence, rewards and redemption, and loyalty programs into one modular platform. With Komo, every interaction feeds real-time zero- and first-party data into unified customer profiles, enabling smarter personalization and deeper retention and loyalty. Built for enterprises and fast-moving brands alike, Komo replaces fragmented tools, reduces complexity, and powers sustained, always-on engagement at every stage of the customer lifecycle — across B2B and B2C events, retail, QSR, sport, media and broadcast, sponsorship, and more.

Revenue
$3.4M
Customers
-
Year founded
2014
Funding
$2M
Team size
31
Location
Australia
Compare Datagrid AI with Rio AI
8Rio AI logo
Rio AI

AI & Machine Learning Operationalization (MLOps) Software

Rio is an AI-powered sustainability management platform helping global businesses and governmental organisations to understand and improve their environmental and social impact. ​​https://www.rio.ai/ We believe sustainability is simply a better business model - helping you operate in a more resource efficient, responsible and profitable manner.​

Revenue
$3.4M
Customers
-
Year founded
2018
Funding
-
Team size
31
Location
United Kingdom
Compare Datagrid AI with Komo
9Komo logo
Komo

AI & Machine Learning Operationalization (MLOps) Software

Komo is the Engagement OS that helps marketers design, build, and deploy full customer engagement journeys faster and smarter. Powered by AI, Komo unifies omnichannel distribution, interactive content, customer intelligence, rewards and redemption, and loyalty programs into one modular platform. With Komo, every interaction feeds real-time zero- and first-party data into unified customer profiles, enabling smarter personalization and deeper retention and loyalty. Built for enterprises and fast-moving brands alike, Komo replaces fragmented tools, reduces complexity, and powers sustained, always-on engagement at every stage of the customer lifecycle — across B2B and B2C events, retail, QSR, sport, media and broadcast, sponsorship, and more.

Revenue
$3.4M
Customers
-
Year founded
2014
Funding
$2M
Team size
31
Location
Australia
Compare Datagrid AI with Octane11
10Octane11 logo
Octane11

AI & Machine Learning Operationalization (MLOps) Software

Octane11 is an AI-powered marketing analytics platform -- for B2B companies only -- that synthesizes paid, owned, and earned marketing, sales, and product usage data to deliver instant insights. We help B2B-focused agencies and enterprises with $50M+ in revenue improve marketing efficiency by 10x, deliver 5x more sales leads, and compare performance to 25 industry benchmarks. Launched in late 2020 and backed by top VCs and industry insiders, Octane11 is already helping some of the largest B2B enterprises break down data silos and turn every digital interaction into an actionable insight.

Revenue
$3.4M
Customers
-
Year founded
2019
Funding
$4.5M
Team size
31
Location
United States
Compare Datagrid AI with Crono
11Crono logo
Crono

AI & Machine Learning Operationalization (MLOps) Software

Crono is an AI Sales Automation Platform for B2B sales teams to find qualified leads, automate quality outreach and hit sales targets faster. Between AI Agents and traditional platforms, Crono redefines outbound sales to turn SDRs/AEs into orchestrators using accurate data, smart automations and AI.⚡️

Revenue
$3.4M
Customers
-
Year founded
2022
Funding
-
Team size
31
Location
United Kingdom
Compare Datagrid AI with Crono
12Crono logo
Crono

AI & Machine Learning Operationalization (MLOps) Software

Crono is an AI Sales Automation Platform for B2B sales teams to find qualified leads, automate quality outreach and hit sales targets faster. Between AI Agents and traditional platforms, Crono redefines outbound sales to turn SDRs/AEs into orchestrators using accurate data, smart automations and AI.⚡️

Revenue
$3.4M
Customers
-
Year founded
2022
Funding
-
Team size
31
Location
United Kingdom
Compare Datagrid AI with Onyx
13Onyx logo
Onyx

AI & Machine Learning Operationalization (MLOps) Software

AI for real work, not just chat. Connect any LLM to your team's data. Build AI agents with actions & MCP. Search internal docs & the web. Deep research everything. All private and open source.

Revenue
$3.4M
Customers
-
Year founded
2023
Funding
-
Team size
31
Location
United States
Compare Datagrid AI with Onyx
14Onyx logo
Onyx

AI & Machine Learning Operationalization (MLOps) Software

AI for real work, not just chat. Connect any LLM to your team's data. Build AI agents with actions & MCP. Search internal docs & the web. Deep research everything. All private and open source.

Revenue
$3.4M
Customers
-
Year founded
2023
Funding
-
Team size
31
Location
United States
Compare Datagrid AI with vAudience
16vAudience logo
vAudience

AI & Machine Learning Operationalization (MLOps) Software

Empowering Workforce Evolution with AI : Pioneering Application-Oriented Courses, Practical Solutions, and more.

Revenue
$3.4M
Customers
-
Year founded
2016
Funding
$1.6M
Team size
31
Location
Germany
Compare Datagrid AI with Onyx
17Onyx logo
Onyx

AI & Machine Learning Operationalization (MLOps) Software

AI for real work, not just chat. Connect any LLM to your team's data. Build AI agents with actions & MCP. Search internal docs & the web. Deep research everything. All private and open source.

Revenue
$3.4M
Customers
-
Year founded
2023
Funding
-
Team size
31
Location
United States
Compare Datagrid AI with Rio AI
18Rio AI logo
Rio AI

AI & Machine Learning Operationalization (MLOps) Software

Rio is an AI-powered sustainability management platform helping global businesses and governmental organisations to understand and improve their environmental and social impact. ​​https://www.rio.ai/ We believe sustainability is simply a better business model - helping you operate in a more resource efficient, responsible and profitable manner.​

Revenue
$3.4M
Customers
-
Year founded
2018
Funding
-
Team size
31
Location
United Kingdom
Compare Datagrid AI with Komo
19Komo logo
Komo

AI & Machine Learning Operationalization (MLOps) Software

Komo is the Engagement OS that helps marketers design, build, and deploy full customer engagement journeys faster and smarter. Powered by AI, Komo unifies omnichannel distribution, interactive content, customer intelligence, rewards and redemption, and loyalty programs into one modular platform. With Komo, every interaction feeds real-time zero- and first-party data into unified customer profiles, enabling smarter personalization and deeper retention and loyalty. Built for enterprises and fast-moving brands alike, Komo replaces fragmented tools, reduces complexity, and powers sustained, always-on engagement at every stage of the customer lifecycle — across B2B and B2C events, retail, QSR, sport, media and broadcast, sponsorship, and more.

Revenue
$3.4M
Customers
-
Year founded
2014
Funding
$2M
Team size
31
Location
Australia
Compare Datagrid AI with Farseer
20Farseer logo
Farseer

AI & Machine Learning Operationalization (MLOps) Software

Farseer is helping companies to eliminate manual work, improve the accuracy and security, as well as gain new insights in the domain of financial planning and analytics. You can imagine Farseer as an Excel specialised for finances, with robustness of a web application, amplified with predictive features. Our sweet spot clients are companies overgrowing spreadsheets, from 200+ employees, who already have multiple people doing financial planning. Farseer is self-service, and empowers users to build financial models - faster and easier then in Excel. Users can import actuals which are mapped into Farseer with the help of our AI algorithms. Based on plans, actuals and historical data - Farseer generates forecast for all revenue and cost categories. All dashboards and reports are updated automatically and enable fast creation of what-if scenarios on all levels. Existing FP&A software falls into 2 categories - those who target enterprise clients and are too complex, clunky and not flexible enough to support constant changes. We beat them by being fast to implement and simple to use. Compared to those legacy apps, Farseer is extremely flexible and blazingly fast. This the reason we have beaten Oracle - the market leader on a public tender. The other category are wizard-based tools aiming at SME’s. They lack the flexibility to create complex models and reports, and we beat them with the power we give to our users.

Revenue
$3.4M
Customers
-
Year founded
2016
Funding
-
Team size
31
Location
United States
Top Datagrid AI Competitors & Alternatives