ARGOS is an AI-powered identity verification and workflow automation platform that helps businesses securely verify individuals and organizations worldwide. Our mission is to create a safer digital ecosystem by enabling companies to identify anyone, anywhere, at any time.
ARGOS ID Check provides fast, seamless remote identity verification for fintech, gaming, virtual assets, e-commerce, telecommunications, and other regulated or high-risk industries. Supporting identity documents from more than 200 countries, it combines document verification, facial recognition, selfie verification, liveness detection, AML screening, age verification, and fraud prevention in one platform.
Its modular design allows businesses to customize each verification workflow based on their risk, compliance, and customer experience requirements. ARGOS helps detect forged documents, deepfakes, duplicate accounts, bots, VPNs, and other suspicious activity while reducing friction during onboarding.
ARGOS Omni extends these capabilities to KYB and general workflow automation. It helps businesses streamline document collection and data extraction, business registry searches, ownership and UBO identification, AML screening, and case review. Customizable workflows, decision rules, and detailed audit trails reduce manual work and create a more consistent, scalable compliance process.
Together, ARGOS ID Check and Omni help organizations onboard customers and businesses faster, reduce operational costs, prevent fraud, and manage compliance more effectively.
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LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network.
Most .NET AI integrations stop at inference. LM-Kit.NET covers the full range of capabilities production applications actually need: agentic workflows with tool calling, planning, and memory; document intelligence with OCR and structured extraction; retrieval-augmented generation with built-in vector storage; multilingual speech-to-text; vision and multimodal understanding; text analysis with classification, NER, PII extraction, and sentiment; and text generation with translation, summarization, and constrained output.
Ships in one NuGet package, runs in-process with no sidecar services, and works across all major hardware acceleration backends. Drop-in replacement for Semantic Kernel through its Microsoft.Extensions.AI compatibility layer.
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PrecisionOCR
PrecisionOCR is a ready-to-use, secure, HIPAA-compliant, cloud-based platform for extracting medical meaning from unstructured documents using Optical Character Recognition (OCR).
PrecisionOCR uses custom Optical Character Recognition and AI algorithms to convert PDFs/JPEGs/PNGs into structured, searchable documents. Organizations can work with our team to build OCR report extractors which look for specific types of information to extract or highlight to reduce the noise that comes from extracting all of the data within a document.
Natural language processing (NLP) and machine learning (ML) power the semi-automated and automated transformation of source material such as pdfs or images into structured data records that integrate seamlessly with EMR data using HL7s FHIR standards. Data can be automatically stored along side patient records.
Our OCR document classification is also available along with multiple ways to integrate including API and CLI support.
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