Brainware vs. DocLime Comparison Chart

Paper-based work is a soul-crushing, profit-sapping drag on individual, team, and company productivity. Paper literally smothers innovation, creating a competitive disadvantage. The Square 9 AI-powered intelligent information processing platform takes the paper out of work and makes it easier to get things done with digital workflows that automate many aspects of how you work today. We make it easy by extracting information from scans or PDFs, storing documents in a searchable archive, and building digital twins of your current processes through graphical workflows. Let’s end the challenge of lost or misplaced invoices, approval bottlenecks, and tedious data entry into multiple systems. Now, you can capture and extract key data from your documents through Artificial Intelligence, eliminate data entry, access documents in the office or from home, streamline your three-way matching process, and automate invoice approval routing.

Shorten development times & get to market faster with Adobe PDF Library. Global OEMs, SaaS and enterprise end-users rely on Adobe PDF Library to automate the creation, editing and management of PDFs. An Adobe partner, our SDK uses the same source code as Acrobat for stability, reliability and quality results. Adobe PDF Library gives developers flexible programming language and platform options, and is currently available in .NET, .NET Framework, Java and C/C++ on Windows, Linux, MacOS, as well as via NuGet and Maven. Our extensive documentation includes getting started guides, API references, and hundreds of sample code examples on GitHub to help developers precisely create and define PDF workflow solutions. Pricing for Adobe PDF Library is based on your business model & software usage. Free trial includes access to our PDF technology experts who can help with proof of concept as well as extend your free trial license if needed. Download and get started today!

Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.

Apryse, previously known as PDFTron, takes document solutions to the next level, making work better and life simpler. Bring PDF viewing, annotating, editing, creation, and generation to any web, mobile, desktop or server framework or application. As a global leader in document processing technology, Apryse gives developers, enterprise customers and small businesses the tools they need to reach their document goals faster and easier. Our product portfolio includes Apryse SDK, Fluent, iText and XODO. Apryse technology works with all major platforms and a wide variety of unique file types.

PSPDFKit is the comprehensive solution for all your PDF needs, offering tools that effortlessly integrate and operate PDF functionality across any platform. 1. SDK PRODUCTS Integrate robust PDF functionality into iOS, Android, Windows, web (JavaScript), or any cross-platform technology, providing capabilities such as PDF viewing, markup, collaboration, and more. 2. LIBRARIES Utilize our potent .NET and Java libraries to boost your backend applications with batch processing of redactions and PDF forms, OCR’d scanned text, and editing of PDF documents, directly from your application server. 3. PROCESSOR Our dynamic PDF microservice, Processor, enables swift generation of PDFs from HTML, including HTML forms, along with Office-to-PDF conversions, OCR, redaction, and XFDF merging and exporting. 4. PDF API Use hosted PDF API to generate, convert, and modify PDF documents in your workflows. We manage the development and server administration, letting you focus on what you do best

aqua is an AI-powered advanced Test Management System designed to make the QA process painless. It is ideal for enterprises and SMBs across various sectors, although aqua was initially designed specifically for regulated industries like Fintech, MedTech and GovTech. aqua cloud helps to: - Organize custom testing processes and workflows, - Run testing scenarios of any complexity and scale, - Create extended sets of test data, - Ensure thorough insights with rich reporting capabilities and - Go from manual to automated testing smoothly. Additionally, it includes a unique feature called “Capture," which transforms the process of documenting and reproducing bugs into a 1-click action. aqua integrates with all the most popular issue trackers and automation tools like JIRA, Selenium, Jenkins and others. REST API is also available. aqua's streamlines testing and saves your QA team up to 70% of time, enabling you to deliver high-quality software and releases x2 faster!

IBM watsonx Assistant (Formerly Watson Assistant) is a market-leading enterprise conversational AI platform that allows you to build intelligent virtual and voice assistants that can provide customers with fast, consistent and accurate answers across any messaging platform, application, device or channel. Using artificial intelligence and large language models, watsonx Assistant learns from customer conversations, improving its ability to resolve issues the first time while removing the frustration of long wait times, tedious searches and unhelpful chatbots. Most chatbots try to mimic human interactions, frustrating customers when a misunderstanding arises. IBM watsonx Assistant is more than a chatbot. It knows when to search for an answer from a knowledge base, when to ask for clarity and when to direct users to a human agent for more assistance. And since it can be deployed in any cloud or on-premises environment – smarter AI is finally available wherever you need it.

Fraud.net delivers the world’s most advanced infrastructure for fraud management – powered by a sophisticated collective intelligence network, world-class artificial intelligence, and a modern, cloud-based platform that helps you: * Unify fraud data from any source with a single connection * Detect fraudulent activity for 99.5%+ transactions in real-time * Optimize fraud management by uncovering hidden insights in terabytes of data Recognized in Gartner’s Market Guide for Online Fraud Detection, Fraud.net is a real-time, enterprise-strength fraud prevention and analytics solution organized around its business customers’ needs. Through a single point of command, it unifies and analyzes data from disparate systems and sources, tracks digital identities and behaviors, and then deploys the latest tools and technologies to stamp out fraudulent activity while allowing good transactions to sail through. Contact us today for a free trial.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection.

(Bank CFO) “I don’t have confidence and trust in our data. We keep discovering hidden risks”. Since 70% of data initiatives fail due to unreliable data (Gartner research), are you risking your reputation by trusting the accuracy of your data that you share with your business stakeholders and partners? Data Trust Scores must be measured in Data Lakes, warehouses, and throughout the pipeline, to ensure the data is trustworthy and fit for use. It typically takes 4-6 weeks of manual effort just to set a file or table for validation. Then, the rules have to be constantly updated as the data evolves. The only scalable option is to automate data validation rules discovery and rules maintenance. DataBuck is an autonomous, self-learning, Data Observability, Quality, Trustability and Data Matching tool. It reduces effort by 90% and errors by 70%. "What took my team of 10 Engineers 2 years to do, DataBuck could complete it in less than 8 hours." (VP, Enterprise Data Office, a US bank)