- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 23
- Location
- United States
Top Picterra Alternatives, Competitors & Similar Software
Founded 2016
Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Vellum, Reef AI and Reef AI. These Picterra competitors have raised $60.8M and together serve more than 3.9M customers and employ over 686 team members.

Data Science and Machine Learning Platforms
Reef.ai is an AI-powered customer data, scoring, and recommendation platform. We transform customer data into NRR with AI-led customer scores optimized for specific revenue outcomes. Reef leverages machine learning to deliver Outcome-Based Scoring, AI-led customer scores optimized for specific revenue outcomes. Customer scoring isn’t about health, it’s about driving revenue outcomes. General health scores are a black box: inaccurate, hard to action, and lacking the data history to be effective. Outcome-based scores optimized for revenue outcomes like churn, downgrade, cross-sell, or upsell with renewal are clearly actionable and their impact on revenue can be measured. - Data Connectivity: Reef seamlessly connects your customer data and builds history to optimize your data for scoring - Advanced ML Scoring: Reef applies proven ML scoring models optimized for the revenue outcome you want to improve - Notifications & Playbooks: Reef delivers precise recommendations to your teams to engage the right customer at the right time - Track Follow Through: Reef tracks the actions your team takes (or not) as a result of the notifications - ROI Reporting: Reef calculates playbook ROI so you know the impact of actions on your outcome metrics
- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 23
- Location
- United States

Data Science and Machine Learning Platforms
Reef.ai is an AI-powered customer data, scoring, and recommendation platform. We transform customer data into NRR with AI-led customer scores optimized for specific revenue outcomes. Reef leverages machine learning to deliver Outcome-Based Scoring, AI-led customer scores optimized for specific revenue outcomes. Customer scoring isn’t about health, it’s about driving revenue outcomes. General health scores are a black box: inaccurate, hard to action, and lacking the data history to be effective. Outcome-based scores optimized for revenue outcomes like churn, downgrade, cross-sell, or upsell with renewal are clearly actionable and their impact on revenue can be measured. - Data Connectivity: Reef seamlessly connects your customer data and builds history to optimize your data for scoring - Advanced ML Scoring: Reef applies proven ML scoring models optimized for the revenue outcome you want to improve - Notifications & Playbooks: Reef delivers precise recommendations to your teams to engage the right customer at the right time - Track Follow Through: Reef tracks the actions your team takes (or not) as a result of the notifications - ROI Reporting: Reef calculates playbook ROI so you know the impact of actions on your outcome metrics
- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 23
- Location
- United States

Data Science and Machine Learning Platforms
Reef.ai is an AI-powered customer data, scoring, and recommendation platform. We transform customer data into NRR with AI-led customer scores optimized for specific revenue outcomes. Reef leverages machine learning to deliver Outcome-Based Scoring, AI-led customer scores optimized for specific revenue outcomes. Customer scoring isn’t about health, it’s about driving revenue outcomes. General health scores are a black box: inaccurate, hard to action, and lacking the data history to be effective. Outcome-based scores optimized for revenue outcomes like churn, downgrade, cross-sell, or upsell with renewal are clearly actionable and their impact on revenue can be measured. - Data Connectivity: Reef seamlessly connects your customer data and builds history to optimize your data for scoring - Advanced ML Scoring: Reef applies proven ML scoring models optimized for the revenue outcome you want to improve - Notifications & Playbooks: Reef delivers precise recommendations to your teams to engage the right customer at the right time - Track Follow Through: Reef tracks the actions your team takes (or not) as a result of the notifications - ROI Reporting: Reef calculates playbook ROI so you know the impact of actions on your outcome metrics
- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 23
- Location
- United States

Data Science and Machine Learning Platforms
The FenixCommerce Intelligent Delivery Platform (IDP) calculates and displays accurate, cost-optimized order cut-off and delivery dates on your product, cart, and checkout pages. This allows you to set clear expectations that improve the overall shopper experience while: - Improving end-to-end conversion an average of 14% - Reducing cart abandonment an average of 38% - Reducing pre-sales inquiries by more than 75% - Increasing shipping revenue an average of 21% Fenix clients range from startups to major retail brands, the largest of which ships over a million orders per year from over 800 fulfillment locations. Every one of our clients sees positive return on their investment in Fenix from day 1. The Fenix IDP algorithms accomplish this by analyzing: - Customer location, by looking at known customer shipping address or via IP-based geolocation for unknown customers, while also allowing customers to enter an alternate delivery zip code - Inventory location, by looking at real-time da
- Revenue
- $3.4M
- Customers
- 46
- Year founded
- 2017
- Funding
- -
- Team size
- 61
- Location
- United States

Data Science and Machine Learning Platforms
The FenixCommerce Intelligent Delivery Platform (IDP) calculates and displays accurate, cost-optimized order cut-off and delivery dates on your product, cart, and checkout pages. This allows you to set clear expectations that improve the overall shopper experience while: - Improving end-to-end conversion an average of 14% - Reducing cart abandonment an average of 38% - Reducing pre-sales inquiries by more than 75% - Increasing shipping revenue an average of 21% Fenix clients range from startups to major retail brands, the largest of which ships over a million orders per year from over 800 fulfillment locations. Every one of our clients sees positive return on their investment in Fenix from day 1. The Fenix IDP algorithms accomplish this by analyzing: - Customer location, by looking at known customer shipping address or via IP-based geolocation for unknown customers, while also allowing customers to enter an alternate delivery zip code - Inventory location, by looking at real-time da
- Revenue
- $3.4M
- Customers
- 46
- Year founded
- 2017
- Funding
- -
- Team size
- 61
- Location
- United States

Data Science and Machine Learning Platforms
Developer of a real estate database platform designed to offer commercial and residential property data. The company's platform is based on cloud-storage and updated continuously to offer every latest news of the real estate market, enabling users to get authentic data about any property easily.
- Revenue
- $3.4M
- Customers
- -
- Year founded
- 2015
- Funding
- -
- Team size
- 44
- Location
- United Kingdom

Data Science and Machine Learning Platforms
Developer of a real estate database platform designed to offer commercial and residential property data. The company's platform is based on cloud-storage and updated continuously to offer every latest news of the real estate market, enabling users to get authentic data about any property easily.
- Revenue
- $3.4M
- Customers
- -
- Year founded
- 2015
- Funding
- -
- Team size
- 44
- Location
- United Kingdom

Data Science and Machine Learning Platforms
The company primarily operates in the Business/Productivity Software industry. Medsys Software Solutions was founded in 1994 and is headquartered in Perrysburg, OH. Similar Companies include Delta Health Technologies and Brightree.
- Revenue
- $3.4M
- Customers
- 1K
- Year founded
- 1994
- Funding
- -
- Team size
- 16
- Location
- United States

Data Science and Machine Learning Platforms
Provider of cloud-based platform designed to collect, match and activate data. The company's cloud-based platform allows to standardize data collection at the source, transform it into actionable strategies, enabling businesses to send the right message, at the right time, to every single one of their clients and prospects, whatever their preferred channel and improve relevance and optimize their media budget.
- Revenue
- $3.4M
- Customers
- -
- Year founded
- 2010
- Funding
- $9.8M
- Team size
- 59
- Location
- France
- Revenue
- $3.5M
- Customers
- 12
- Year founded
- 2018
- Funding
- $1.7M
- Team size
- 12
- Location
- United States
- Revenue
- $3.5M
- Customers
- 12
- Year founded
- 2018
- Funding
- $1.7M
- Team size
- 12
- Location
- United States
- Revenue
- $3.5M
- Customers
- 12
- Year founded
- 2018
- Funding
- $1.7M
- Team size
- 12
- Location
- United States

Data Science and Machine Learning Platforms
Comintelli provides a software for competitive intelligence professionals.
- Revenue
- $3.4M
- Customers
- -
- Year founded
- 1999
- Funding
- -
- Team size
- 27
- Location
- Sweden

Data Science and Machine Learning Platforms
Genus AI is a Growth Platform for D2C brands, helping them acquire, engage and retain their customers
- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2017
- Funding
- $3M
- Team size
- 25
- Location
- United States

Data Science and Machine Learning Platforms
Luminovo is a SaaS provider building the electronics operating system for EMS, OEMs, and distributors to accelerate technological progress.
- Revenue
- $3.4M
- Customers
- -
- Year founded
- 2017
- Funding
- $5.8M
- Team size
- 57
- Location
- Germany

Data Science and Machine Learning Platforms
Provider of comprehensive outcomes assessment systems intended to improve student learning and institutional quality. The company's comprehensive outcomes assessment systems offers collages and universities administrators with systems and tools to measure and assess a range of metrics including user friendly student assessment and learning, e-portfolio systems and other learning support program services.
- Revenue
- $3.5M
- Customers
- 3.9M
- Year founded
- 2003
- Funding
- $1M
- Team size
- 58
- Location
- United States
- Revenue
- $3.4M
- Customers
- 24
- Year founded
- 2016
- Funding
- $8M
- Team size
- 24
- Location
- Israel

Data Science and Machine Learning Platforms
Developer of a mobile application designed to help in efficient job planning. The company's mobile application tailors and configures services for industries including field service maintenance, inspections and environmental testing as well as helps companies to quickly exchange information with staff on the field using hand-held computers and the global system for mobile digital networks, enabling clients to manage their field workers everywhere.
- Revenue
- $3.4M
- Customers
- -
- Year founded
- 1996
- Funding
- -
- Team size
- 31
- Location
- Australia

Data Science and Machine Learning Platforms
Developer of industrial planning and scheduling platform intended to apply cutting-edge technology to industrial data. The company's industrial planning and scheduling platform offers engineering optimization and statistical data analytics for enabling industrial automation in the process systems and energy sector, enabling them to improve operational efficiency and reduce operational cost.
- Revenue
- $3.4M
- Customers
- -
- Year founded
- 2016
- Funding
- $28.1M
- Team size
- 51
- Location
- United Kingdom


