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Top Trellis Research Alternatives, Competitors & Similar Software

Founded 2018

Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as DATAGALAXY, Miros and ClimateView. These Trellis Research competitors have raised $129.2M and together serve more than - customers and employ over 1.1K team members.

Compare Trellis Research with DATAGALAXY
1DATAGALAXY logo
DATAGALAXY

Data Science and Machine Learning Platforms

Developer of an agile data-mapping platform designed to provide enterprise data management and access. The company's platform allows rapid deployment of solutions to support regulatory compliance and facilitates implementation of a data catalog to optimize the performance of data teams, enabling organizations to share a common understanding of business processes and create value with the data.

Revenue
$6M
Customers
-
Year founded
2015
Funding
$2.1M
Team size
89
Location
France
Compare Trellis Research with Miros
2Miros logo
Miros

Data Science and Machine Learning Platforms

Miros is an AI-powered search and discovery solution tailored for e-commerce, particularly in visually-driven verticals like fashion and furniture. With Miros’ cutting-edge Discovery Bar, users can discover exciting products using rich, descriptive search terms - no tags or exact keywords needed. For those nuanced searches where words fall short, Wordless Search lets customers click and browse, as the AI continuously refines results in real-time. Cookieless, tagless, and language-agnostic, Miros offers seamless product discovery that drives higher engagement and boosts conversion rates.

Revenue
$6.1M
Customers
-
Year founded
2019
Funding
$8.8M
Team size
55
Location
United Kingdom
Compare Trellis Research with ClimateView
3ClimateView logo
ClimateView

Data Science and Machine Learning Platforms

ClimateView is a Swedish technology company that empowers over 135 government actors across Europe and the US, modeling political, economic, and energy shifts with software and AI. Partners include Accenture, ICLEI USA and Google.

Revenue
$6.1M
Customers
-
Year founded
2018
Funding
-
Team size
55
Location
Sweden
Compare Trellis Research with AirOps
4AirOps logo
AirOps

Data Science and Machine Learning Platforms

Build your AI growth engine. AirOps lets you easily build and scale AI workflows to crush your growth targets. Build with 40+ AI models, retrieval, and data sources or launch one of our proven playbooks.

Revenue
$6.1M
Customers
-
Year founded
2021
Funding
$22.5M
Team size
55
Location
United States
Compare Trellis Research with MASS Analytics
5MASS Analytics logo
MASS Analytics

Data Science and Machine Learning Platforms

We use Marketing Mix Modeling to help our clients understand their conversion drivers, optimize their marketing budgets, and increase their ROI🚀. We offer a cutting-edge Marketing Measurement approach and software suite that's trusted by major international brands and agencies. Our solution provides exceptionally fast, automated, and dynamic models, all fueled by state-of-the-art Machine Learning technology. We're also proud recipients of the Best Place to Work in 2023 🏆. This accolade reflects our commitment to fostering an innovative and collaborative workplace that values the well-being of our team members.

Revenue
$6.1M
Customers
-
Year founded
2015
Funding
-
Team size
55
Location
United Kingdom
Compare Trellis Research with MASS Analytics
6MASS Analytics logo
MASS Analytics

Data Science and Machine Learning Platforms

We use Marketing Mix Modeling to help our clients understand their conversion drivers, optimize their marketing budgets, and increase their ROI🚀. We offer a cutting-edge Marketing Measurement approach and software suite that's trusted by major international brands and agencies. Our solution provides exceptionally fast, automated, and dynamic models, all fueled by state-of-the-art Machine Learning technology. We're also proud recipients of the Best Place to Work in 2023 🏆. This accolade reflects our commitment to fostering an innovative and collaborative workplace that values the well-being of our team members.

Revenue
$6.1M
Customers
-
Year founded
2015
Funding
-
Team size
55
Location
United Kingdom
Compare Trellis Research with CrateDB
7CrateDB logo
CrateDB

Data Science and Machine Learning Platforms

Database for Real-time Analytics and Hybrid Search.

Revenue
$6.1M
Customers
-
Year founded
2013
Funding
$33M
Team size
55
Location
United States
Compare Trellis Research with EkkoSense AI
8EkkoSense AI logo
EkkoSense AI

Data Science and Machine Learning Platforms

Designed to continuously monitor, plan and optimize data center performance, EkkoSense keeps your data center finely tuned and operating at peak performance. A machine learning platform built by PhD-level thermodynamic experts, it uses advanced sensing and software tools, data analytics and expert services to: ➤ Reduce thermal risk and maintain 100% data center cooling compliance ➤ Release (M&E) capacity thanks to real-time thermal insights, so instead of adding more cooling systems, you can keep existing systems on standby and release capacity ➤ Cut cooling costs. Data centre rooms that have been thermally optimized by EkkoSense typically saves up to 30% on data centre cooling costs. Cooling savings alone pays for the platform very quickly – typically in less than a year Plus, it’s extremely intuitive, immersive, easy to use and can be self-installed. How does it work? The EkkoSense platform includes: ➤ Cooling Advisor – to give you daily, actionable advice on how to optimize your data halls ➤ Zones of Influence – using machine learning to show you which cooling units are predominantly serving which racks ➤ Capacity planning – plan future power, cooling and space capacity with simple drag and drop and manage current capacity much more accurately and effectively ➤ Power management - visualise power schematics from site incomer to rack. Manage current power demands and reserve future capacity. Rapid go/no go decisions on additional loads EkkoSense is currently deployed at 300+ datacenter sites including Digital Realty, Telefonica, Bloomberg, Santander, VISA, and many other large corporations. To see how EkkoSense works watch this short video: https://youtu.be/fxg7WpzPk1s or request an online demo at www.ekkosense.com/demo

Revenue
$6.1M
Customers
-
Year founded
2013
Funding
-
Team size
55
Location
United Kingdom
Compare Trellis Research with ClimateView
9ClimateView logo
ClimateView

Data Science and Machine Learning Platforms

ClimateView is a Swedish technology company that empowers over 135 government actors across Europe and the US, modeling political, economic, and energy shifts with software and AI. Partners include Accenture, ICLEI USA and Google.

Revenue
$6.1M
Customers
-
Year founded
2018
Funding
-
Team size
55
Location
Sweden
Compare Trellis Research with CrateDB
10CrateDB logo
CrateDB

Data Science and Machine Learning Platforms

Database for Real-time Analytics and Hybrid Search.

Revenue
$6.1M
Customers
-
Year founded
2013
Funding
$33M
Team size
55
Location
United States
Compare Trellis Research with AdPolice
11AdPolice logo
AdPolice

Data Science and Machine Learning Platforms

We develop monitoring tools that make the Internet a safer place for hundreds of international brands. Marketers, media agencies to legal teams use Adpolice to monitor their brands across the worldwide web. Mointor - Report - Act We offer: Paid Search Monitoring -Monitoring of all Brand Keywords -Affiliate Monitoring -Web Compliance -Competition Analysis - Monitoring google/amazon shopping

Revenue
$6.1M
Customers
-
Year founded
2008
Funding
-
Team size
55
Location
United Kingdom
Compare Trellis Research with MASS Analytics
12MASS Analytics logo
MASS Analytics

Data Science and Machine Learning Platforms

We use Marketing Mix Modeling to help our clients understand their conversion drivers, optimize their marketing budgets, and increase their ROI🚀. We offer a cutting-edge Marketing Measurement approach and software suite that's trusted by major international brands and agencies. Our solution provides exceptionally fast, automated, and dynamic models, all fueled by state-of-the-art Machine Learning technology. We're also proud recipients of the Best Place to Work in 2023 🏆. This accolade reflects our commitment to fostering an innovative and collaborative workplace that values the well-being of our team members.

Revenue
$6.1M
Customers
-
Year founded
2015
Funding
-
Team size
55
Location
United Kingdom
Compare Trellis Research with Allure Security
13Allure Security logo
Allure Security

Data Science and Machine Learning Platforms

Account Takeover Fraud costs businesses nearly 7 Billion a year. We address the root cause. Our AI catches the scams that other vendors miss by visually examining millions of sites every day to detect online impersonation of your brand. Our solution finds credential theft (phishing), identity theft, payment data theft, personal information theft, and content re-publishing; and responds to mitigate the risk before your customers and your brand become victims. Our unique deception technology takes the fight back to the scammers. We stop them in their tracks by injecting realistic decoy data right into their attack sites. That breaks the scammers’ business model and helps to expose their real identities. Allure also provides best-in-class traditional responses via automated takedowns and blocklisting and a through our seasoned takedown team. Head to our blog for more information about account takeover fraud, cybersecurity trends, and how to protect your customers from the bad guys: https://bit.ly/34fLRae

Revenue
$6.1M
Customers
-
Year founded
2011
Funding
$12.2M
Team size
55
Location
United States
Compare Trellis Research with MASS Analytics
14MASS Analytics logo
MASS Analytics

Data Science and Machine Learning Platforms

We use Marketing Mix Modeling to help our clients understand their conversion drivers, optimize their marketing budgets, and increase their ROI🚀. We offer a cutting-edge Marketing Measurement approach and software suite that's trusted by major international brands and agencies. Our solution provides exceptionally fast, automated, and dynamic models, all fueled by state-of-the-art Machine Learning technology. We're also proud recipients of the Best Place to Work in 2023 🏆. This accolade reflects our commitment to fostering an innovative and collaborative workplace that values the well-being of our team members.

Revenue
$6.1M
Customers
-
Year founded
2015
Funding
-
Team size
55
Location
United Kingdom
Compare Trellis Research with CloverDX
15CloverDX logo
CloverDX

Data Science and Machine Learning Platforms

The CloverDX Data Integration Platform helps boost productivity and trust in data and processes by focusing on automation and robustness of data pipelines. It’s a single platform that covers the needs of the IT teams as well as providing a self-service interface to business users, covering the entire lifecycle of data from ingestion and processing to delivery and consumption.

Revenue
$6.1M
Customers
-
Year founded
2002
Funding
-
Team size
55
Location
Czech Republic
Compare Trellis Research with ClimateView
16ClimateView logo
ClimateView

Data Science and Machine Learning Platforms

ClimateView is a Swedish technology company that empowers over 135 government actors across Europe and the US, modeling political, economic, and energy shifts with software and AI. Partners include Accenture, ICLEI USA and Google.

Revenue
$6.1M
Customers
-
Year founded
2018
Funding
-
Team size
55
Location
Sweden
Compare Trellis Research with Miros
17Miros logo
Miros

Data Science and Machine Learning Platforms

Miros is an AI-powered search and discovery solution tailored for e-commerce, particularly in visually-driven verticals like fashion and furniture. With Miros’ cutting-edge Discovery Bar, users can discover exciting products using rich, descriptive search terms - no tags or exact keywords needed. For those nuanced searches where words fall short, Wordless Search lets customers click and browse, as the AI continuously refines results in real-time. Cookieless, tagless, and language-agnostic, Miros offers seamless product discovery that drives higher engagement and boosts conversion rates.

Revenue
$6.1M
Customers
-
Year founded
2019
Funding
$8.8M
Team size
55
Location
United Kingdom
Compare Trellis Research with EkkoSense AI
18EkkoSense AI logo
EkkoSense AI

Data Science and Machine Learning Platforms

Designed to continuously monitor, plan and optimize data center performance, EkkoSense keeps your data center finely tuned and operating at peak performance. A machine learning platform built by PhD-level thermodynamic experts, it uses advanced sensing and software tools, data analytics and expert services to: ➤ Reduce thermal risk and maintain 100% data center cooling compliance ➤ Release (M&E) capacity thanks to real-time thermal insights, so instead of adding more cooling systems, you can keep existing systems on standby and release capacity ➤ Cut cooling costs. Data centre rooms that have been thermally optimized by EkkoSense typically saves up to 30% on data centre cooling costs. Cooling savings alone pays for the platform very quickly – typically in less than a year Plus, it’s extremely intuitive, immersive, easy to use and can be self-installed. How does it work? The EkkoSense platform includes: ➤ Cooling Advisor – to give you daily, actionable advice on how to optimize your data halls ➤ Zones of Influence – using machine learning to show you which cooling units are predominantly serving which racks ➤ Capacity planning – plan future power, cooling and space capacity with simple drag and drop and manage current capacity much more accurately and effectively ➤ Power management - visualise power schematics from site incomer to rack. Manage current power demands and reserve future capacity. Rapid go/no go decisions on additional loads EkkoSense is currently deployed at 300+ datacenter sites including Digital Realty, Telefonica, Bloomberg, Santander, VISA, and many other large corporations. To see how EkkoSense works watch this short video: https://youtu.be/fxg7WpzPk1s or request an online demo at www.ekkosense.com/demo

Revenue
$6.1M
Customers
-
Year founded
2013
Funding
-
Team size
55
Location
United Kingdom
Compare Trellis Research with EkkoSense AI
19EkkoSense AI logo
EkkoSense AI

Data Science and Machine Learning Platforms

Designed to continuously monitor, plan and optimize data center performance, EkkoSense keeps your data center finely tuned and operating at peak performance. A machine learning platform built by PhD-level thermodynamic experts, it uses advanced sensing and software tools, data analytics and expert services to: ➤ Reduce thermal risk and maintain 100% data center cooling compliance ➤ Release (M&E) capacity thanks to real-time thermal insights, so instead of adding more cooling systems, you can keep existing systems on standby and release capacity ➤ Cut cooling costs. Data centre rooms that have been thermally optimized by EkkoSense typically saves up to 30% on data centre cooling costs. Cooling savings alone pays for the platform very quickly – typically in less than a year Plus, it’s extremely intuitive, immersive, easy to use and can be self-installed. How does it work? The EkkoSense platform includes: ➤ Cooling Advisor – to give you daily, actionable advice on how to optimize your data halls ➤ Zones of Influence – using machine learning to show you which cooling units are predominantly serving which racks ➤ Capacity planning – plan future power, cooling and space capacity with simple drag and drop and manage current capacity much more accurately and effectively ➤ Power management - visualise power schematics from site incomer to rack. Manage current power demands and reserve future capacity. Rapid go/no go decisions on additional loads EkkoSense is currently deployed at 300+ datacenter sites including Digital Realty, Telefonica, Bloomberg, Santander, VISA, and many other large corporations. To see how EkkoSense works watch this short video: https://youtu.be/fxg7WpzPk1s or request an online demo at www.ekkosense.com/demo

Revenue
$6.1M
Customers
-
Year founded
2013
Funding
-
Team size
55
Location
United Kingdom
Compare Trellis Research with Miros
20Miros logo
Miros

Data Science and Machine Learning Platforms

Miros is an AI-powered search and discovery solution tailored for e-commerce, particularly in visually-driven verticals like fashion and furniture. With Miros’ cutting-edge Discovery Bar, users can discover exciting products using rich, descriptive search terms - no tags or exact keywords needed. For those nuanced searches where words fall short, Wordless Search lets customers click and browse, as the AI continuously refines results in real-time. Cookieless, tagless, and language-agnostic, Miros offers seamless product discovery that drives higher engagement and boosts conversion rates.

Revenue
$6.1M
Customers
-
Year founded
2019
Funding
$8.8M
Team size
55
Location
United Kingdom
Top Trellis Research Competitors & Alternatives