Find Me Sales is a fast growing SaaS company based in London. We provide comprehensive sales software that helps business owners and sales people automate their sales research and outreach using AI. From a single click, our AI finds and reads a companies website to generate relevant sales intelligence. These leads can be put into automation flows and campaigns to generate sales actions to help build relationships and land business.
We are part of 5 accelerators including Google Cloud Startups Program, Natwest Entrepreneur Accelerator, Barclays Eagle Labs, Innovate UK Edge and Digital Catapult Machine Intelligence Garage.
Find Me Sales helps clients find B2B sales using AI automation. We work with customers in a wide range of industries to find the perfect businesses to convert from leads into sales.
Once a client chooses to analyse a lead in the Leadsearch database, our AI finds and reads the business website. It looks out for contact and social information, as well as people, places and context to give our clients all the information they need to close sales.
We provide automation flows and campaigns to automatically generate sales actions that clients can take with a single click. This might be connecting on social media or sending an email template directly from the Find Me Sales platform to get delivery and open feedback.
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Based on our record, OpenCV seems to be more popular. It has been mentiond 52 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 14 days ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 1 month ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 7 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 7 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
Salesforce Einstein - Salesforce Einstein is an Artificial Intelligence designed into the core of the Salesforce platform, where it power the world’s smartest CRM.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Apollo.io - Apollo’s predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Salesforce - CRM software solutions and enterprise cloud computing from salesforce.com, the leader in CRM and platform as a service.
NumPy - NumPy is the fundamental package for scientific computing with Python