ARGOS helps organizations simplify identity verification, business verification, fraud prevention, and compliance through one AI-powered platform.
With ARGOS ID Check, businesses can build customized KYC and onboarding workflows using document authentication, facial matching, selfie and liveness verification, AML screening, age verification, and advanced fraud detection. ARGOS supports identity documents from more than 200 countries, making it well suited for companies serving customers across multiple markets.
The platform’s modular approach allows organizations to enable only the services they need. Built-in risk controls can detect altered or fraudulent documents, deepfakes, duplicate accounts, bots, VPNs, and other indicators of suspicious activity. This helps businesses reduce onboarding friction without sacrificing security or compliance.
ARGOS Omni brings the same automation to KYB and operational workflows. It can automate document requests, extract business information, perform registry and AML searches, identify ownership and UBOs, and route cases based on customized rules. Detailed audit trails provide visibility into each decision and help teams maintain consistent processes.
From individual identity checks to complex business verification, ARGOS enables faster onboarding, fewer manual reviews, stronger fraud prevention, and more scalable compliance operations.
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LM-Kit.NET serves as a comprehensive toolkit tailored for the seamless incorporation of generative AI into .NET applications, fully compatible with Windows, Linux, and macOS systems. This versatile platform empowers your C# and VB.NET projects, facilitating the development and management of dynamic AI agents with ease.
Utilize efficient Small Language Models for on-device inference, which effectively lowers computational demands, minimizes latency, and enhances security by processing information locally. Discover the advantages of Retrieval-Augmented Generation (RAG) that improve both accuracy and relevance, while sophisticated AI agents streamline complex tasks and expedite the development process.
With native SDKs that guarantee smooth integration and optimal performance across various platforms, LM-Kit.NET also offers extensive support for custom AI agent creation and multi-agent orchestration. This toolkit simplifies the stages of prototyping, deployment, and scaling, enabling you to create intelligent, rapid, and secure solutions that are relied upon by industry professionals globally, fostering innovation and efficiency in every project.
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Suparse
Transforming data from any PDF or image file into Excel can be accomplished in under a minute with Suparse, which simplifies the extraction process for teams across finance, logistics, and operations sectors. Users can start seamlessly with pre-trained models tailored for various document types such as invoices, receipts, bank statements, and bills of lading, or they can quickly create custom parsers using an AI-driven schema generator. To guarantee the precision of data with lower confidence levels, a human-in-the-loop review process is implemented, allowing for the application of validation rules and the effortless export of aggregated results in multiple formats, including Excel, CSV, JSON, or via API. Collaborate in a secure setting that complies with GDPR standards, while also taking advantage of multilingual OCR features and handwriting recognition support. This all-encompassing tool not only boosts operational efficiency but also promotes teamwork among diverse groups, making it an invaluable asset for any organization. Additionally, its ability to adapt to various workflows ensures that teams can tailor the solution to meet their specific needs.
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Automat
Collect and aggregate information from a wide array of content types across multiple document formats.
When dealing with PDFs that are not uniformly structured, extracting data necessitates navigating through unstructured components, free-form text, and tabular data.
Easily scrutinize large documents to identify relevant details that align with your specific needs.
Utilize visual language models (VLMs) to assess image inputs coming from order forms, licenses, or any other types of unstructured documents.
Improve tasks like CRM integration, organizing invoices, automating email responses, or summarizing meeting notes.
Implement both attended and unattended bots within days, drastically shortening the usual setup period.
This methodology not only boosts efficiency but also refines workflows across various industries and applications, leading to a more streamlined operational environment.
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