
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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Google Cloud Natural Language API
Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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