LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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ARGOS Identity provides AI-powered identity verification, fraud prevention, KYB, and workflow automation solutions for businesses operating in regulated and high-risk industries.
ARGOS ID Check enables organizations to verify customers remotely using identity document authentication, facial recognition, selfie verification, liveness detection, AML screening, age verification, and additional fraud signals. The platform supports identity documents from more than 200 countries and is designed for fintech, gaming, virtual assets, e-commerce, telecommunications, and other digital platforms.
Businesses can configure their verification process by selecting the modules that match their compliance requirements and risk tolerance. ARGOS can help identify forged documents, deepfakes, duplicate users, bots, VPNs, and suspicious activity while maintaining a fast and straightforward onboarding experience.
For business verification, ARGOS Omni automates KYB and compliance workflows. Omni supports document collection and extraction, business registry searches, ownership and UBO identification, AML screening, case management, and audit reporting. Custom workflows and decision rules help teams reduce manual reviews and apply compliance policies consistently.
ARGOS gives businesses one flexible platform for verifying people and companies, preventing fraud, lowering operational costs, and scaling compliant onboarding.
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Square 9
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.
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Tablextract
TableXtract is an innovative AI-driven application that simplifies the process of extracting tables from various formats such as PDFs and images, enabling users to convert the data into Excel, CSV, or JSON files. By automating the data entry process, it greatly minimizes the time and effort required for manual input tasks. To utilize TableXtract, users need only to upload their document (in formats like PDF, JPG, or PNG), after which the AI efficiently identifies and extracts the tables. The extracted tables can then be downloaded in the selected format, whether it be Excel, CSV, or JSON. This tool is capable of handling extractions from PDFs, images, and even scanned documents, ensuring a versatile approach to data management. It employs sophisticated AI technology to ensure precise table recognition while maintaining the integrity of the original structure. Practical applications for TableXtract include pulling financial information from comprehensive reports, transforming tables found in research articles into easily manageable spreadsheets, and transcribing tables from various receipts and invoices, thereby streamlining workflows across multiple industries. Ultimately, TableXtract serves as a powerful ally for anyone looking to enhance their data extraction efficiency.
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