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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Sensible
Sensible is an API-first document-processing platform designed to enable developers and product teams to convert unstructured documents into structured data with minimal overhead. It supports extraction from PDFs, images, emails, and spreadsheets using a combination of LLM-based parsing and visual layout-rule engines. With over 150 pre-configured document-type parsers for common business forms (bank statements, invoices, policy declarations, utility bills, EOBs), organizations can accelerate deployment, while custom configurations allow unique workflows. It offers classification of document types via a dedicated classify endpoint, automatically identifying the form type before extraction, reducing manual pre-routing of files. Integration is straightforward through REST APIs, Webhooks, and SDKs (JavaScript, Python), allowing ingestion of documents in development and production environments with versioning support.
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