Obsidian is a financial analytics platform for SaaS companies that assigns cost to each user action and helps you build P&L at a customer level. Obsidian is the first unit economics intelligence platform, which help you measure metrics at a customer level. This will enable you to optimise your sales, marketing, and operations.
With Obsidian you can track customer P&L, find expensive features and vendors, and look at real-time customer profiles.
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SaaS companies looking to optimise their sales, marketing, and operations by understanding their customer economics. This includes decision-makers in finance, sales, marketing, and product teams.
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Obsidian Analytics is the first platform to offer unit economics intelligence specifically for SaaS companies, allowing customer-level profitability analysis and cost assignment to individual user actions.
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We are the first to create unit economics intelligence, giving you
ObsidianLaunch.co's answer:
Obsidian Analytics was born as many SaaS companies struggle to accurately measure and optimise their unit economics (a problem we were struggling with before). So, we created a comprehensive, customer-centric view of profitability, enabling businesses to make informed decisions about their product, pricing, and growth strategies. By leveraging advanced analytics and integrating with existing data pipelines, Obsidian Analytics aims to empower SaaS companies with the insights they need to drive sustainable growth and profitability.
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Vue for client side, databases (PostgreSQL, MongoDB), and cloud infrastructure (GCP).
Based on our record, Amazon Textract seems to be more popular. It has been mentiond 35 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.
Did you try textract? https://aws.amazon.com/textract/ In my experience it works amazingly well with columns / tabulated content. - Source: Hacker News / 9 days ago
Amazon Textract has an Analyze Lending API for evaluating and categorizing the documents contained in mortgage loan application packages, as well as extracting the data they contain. The new API can assist in processing applications quicker and with minimal errors, therefore improving the end-customer experience and lowering operational costs. - Source: dev.to / 5 months ago
You could try something like https://aws.amazon.com/textract/ or https://cloud.google.com/vision/docs/handwriting. Both have support for modern handwriting. I don't know if it will work with a script written a century ago though. - Source: Hacker News / 5 months ago
Create a main.js file inside the look-for-github-profile-step project folder. Implement the code that parses the resume and plucks the GitHub profile URL. This step function is responsible for using Textract (an AI service from AWS) and passing state back to the state machine. - Source: dev.to / 8 months ago
The primary challenge in processing invoices is extracting the relevant data. This is where Amazon Textract can help. It is a service provided by Amazon Web Services (AWS) that uses advanced Machine Learning (ML) algorithms to automatically extract structured and unstructured data from scanned documents, images, and PDF files. It can detect typed and handwritten text in different types of documents including... - Source: dev.to / 10 months ago
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