
Data Science and Machine Learning Platforms
AI-Powered Collections Platform for Food Distributors
- Revenue
- $770K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 7
- Location
- United States
Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Invo AI, VELZI.AI LIMITED and Invo AI. These BLACKFIELD AI competitors have raised $100K and together serve more than - customers and employ over 140 team members.

Data Science and Machine Learning Platforms
AI-Powered Collections Platform for Food Distributors

Data Science and Machine Learning Platforms
Revolutionizing Accounting; AI Powered Business Solutions

Data Science and Machine Learning Platforms
AI-Powered Collections Platform for Food Distributors

Data Science and Machine Learning Platforms
Live, AI-powered graph of every possible click path in your software

Data Science and Machine Learning Platforms
Live, AI-powered graph of every possible click path in your software

Data Science and Machine Learning Platforms
AI powered debugging notebooks for incident response

Data Science and Machine Learning Platforms
An Collaborative, AI-native IDE for Hardware Engineers

Data Science and Machine Learning Platforms
Intrvuz is a SAAS-based platform to automate screening & interviews for hiring candidates using Contextual AI. Recruiters can bulk screen resumes instantly or run automated application assessments for a duration to gain deep insights into candidate suitability

Data Science and Machine Learning Platforms
AI-powered robotics for scientific lab automation.

Data Science and Machine Learning Platforms
AI-powered robotics for scientific lab automation.

Data Science and Machine Learning Platforms
DevArmor is building AI agents that automate manual security reviews and threat modeling. Just as Vanta streamlined slow and costly compliance management, DevArmor automates security reviews. DevArmor seamlessly integrates real-time, high-fidelity security reviews informed by threat models into development workflows. While other solutions focus on known code vulnerabilities, DevArmor extracts business logic and security patterns before any code is written. By integrating with developer platforms such as Jira, Notion, Vanta, Drata, AWS, and Terraform, DevArmor processes design docs, policy docs, and compliance requirements to generate structured threat modeling. It also validates design implementation by integrating with source code management platforms like GitHub and GitLab. Through workflow integration, real-time feedback, and enforcement, DevArmor: - Reduces security backlog by 80% - Saves security teams 30% of their time - Accelerates software releases by 3 months

Each Tuesday, we reverse-engineer a real SaaS company's revenue, profit, CAC, funnels, and its top growth tactic.
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