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Enterprise Single Sign On (SSO) SAML SSO enables a secure authentication via an organization’s Identity Provider (IdP), as opposed to users or IT admins managing thousands, of usernames and passwords. With our product SAML Jackson, enterprise users can access your product via one of their secure IdPs (like Okta, Microsoft Azure, AWS, etc), which manages access and security for the entire organization.
Directory Sync Organizations use directories from different providers to manage users and enforce their access to organization resources. By integrating our Directory Sync product into your solution you can activate and deactivate user accounts, create groups, and keep your app in sync with the user directory in real-time. Supports the SCIM 2.0 protocol.
Additionally, we offer Audit Logs to track critical events in your application and a Data Privacy Vault to safeguard sensitive data.
NanoNets is a Deep Learning web platform that makes it easier than ever before to use Deep Learning in practical applications. It combines the convenience of a web-based platform with Deep Learning models to create image recognition and object classification applications for your business. You can easily build and integrate deep learning models using NanoNets’ API. You can also work with our pre-trained models which have been trained on huge datasets and return accurate results. NanoNets has leveraged recent advances in Deep Learning to build rich representations of data which are transferable across tasks. It’s as simple as uploading your input, generating the output and getting a functioning and highly accurate Deep Learning model for your AI needs. NanoNets is revolutionary because it allows you to train models without large datasets. With just 100 images you can train a model on our platform to detect features and classify images with a high degree of accuracy. NanoNets benefits you in four important ways: ● It reduces the amount of data needed to build a Deep Learning Model ● NanoNets handles the infrastructure for hosting and training the model, and for the run time ● It reduces the cost of running deep learning models by sharing infrastructure across models ● It is possible for anyone to build a deep learning model
BoxyHQ's answer
BoxyHQ stands out for its comprehensive suite of security building blocks tailored specifically for developers. With features like SAML/OIDC Single Sign-On (SSO) and Directory Sync with SCIM 2.0, BoxyHQ simplifies identity management and access control for B2B SaaS companies. Its focus on providing a seamless and customizable solution empowers developers to enhance security without compromising user experience. Additionally, BoxyHQ offers Audit Logs to track critical events within the product and a Privacy Vault, an API to protect sensitive data.
BoxyHQ's answer
BoxyHQ stands out for several reasons:
BoxyHQ's answer
BoxyHQ's primary audience encompasses:
BoxyHQ's answer
The inception of BoxyHQ is deeply linked with Deepak's journey as the former CTO of a cybersecurity scaleup. In his role, Deepak wrestled with the challenge of allocating resources to enterprise compliance features that diverged from their core value proposition. Alongside Sama, they witnessed the escalating tide of cyber crimes, compounded by the concerning statistic that around 70% of development teams often bypass essential security measures due to time constraints. Motivated by this shared purpose of bringing security earlier in the developer live cycle, they embarked on a mission to address these challenges head-on. BoxyHQ emerged as a solution designed to automate product security and provide low-code APIs for seamless integration, empowering developers to implement enterprise-compliant security measures effortlessly. Through BoxyHQ, Deepak and the team strive to alleviate the burden on development teams while fortifying organizations against the escalating threats posed by cyber crimes.
BoxyHQ's answer
We value the confidentiality of our large enterprise clients due to NDA agreements. However, some of our notable customers include Cal.com, Dub, Supademo, Spike, among many others.
BoxyHQ's answer
BoxyHQ uses the following technologies: - Next.js - PostgreSQL - Docker - Kubernetes
Based on our record, Nanonets seems to be more popular. It has been mentiond 6 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.
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: almost 2 years ago
Nanonets is a no-code, workflow-based, and AI-enhanced intelligent document processing platform. It automates all document processes and is built on a robust, intelligent, self-learning OCR API that allows users to extract required data from documents in minutes. Source: almost 2 years ago
Check out our website here https://nanonets.com/ for more. We also have some free tools where you can experience our product for free (like https://nanonets.com/online-ocr). Source: about 2 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: about 2 years ago
We will be using Python3.6+, Django web framework, Nanonets for character extraction from an image, Cloudinary for image storage and Google Search API for performing the searches. - Source: dev.to / over 2 years ago
Auth0 - Auth0 is a program for people to get authentication and authorization services for their own business use.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Frontegg - Elegant user management, tailor-made for B2B SaaS
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
Skyflow - Skyflow’s data privacy vaults deliver security, compliance and governance via a simple API
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.