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Case studies
Document Intelligence That Hunts Risks Before They Roar
Ragnar scans, reads, and understands documents at scale no manual review, no missed red flags. Built on advanced NLP and transformer models, it extracts context-aware insights from contracts, forms, and filings. Seamless integration via RESTful APIs enables real-time ingestion from emails, DMS, S3, and shared folders.
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High-Fidelity Data Capture at Scale
Ragnar reads documents like a predator stalking prey swift, focused, and thorough. Trained on millions of real-world documents, its hybrid OCR-LLM engine handles PDFs, scans, and messy formats with ease. Structured outputs are instantly available via webhooks, APIs, or enterprise queues.
RegTech Reflexes, Cat-Fast and Code-Smart
Ragnar learns fast, adapts faster—keeping your compliance posture agile and aligned. Rule engines work with machine learning to auto-classify obligations, violations, and policy breaches. Smart workflows enable automated remediation, escalations, and regulator-ready audit logs.
RegTech Reflexes, Cat-Fast and Code-Smart
Ragnar learns fast, adapts faster—keeping your compliance posture agile and aligned. Rule engines work with machine learning to auto-classify obligations, violations, and policy breaches. Smart workflows enable automated remediation, escalations, and regulator-ready audit logs.
Automated Data Lifecycle Management with Precision
Ragnar purges, redacts, and retires sensitive data precisely when consent expires. Deletion policies are enforced via metadata tags, audit logs, and time-based triggers. Its AI engine identifies and removes PII and contractual data across formats, ensuring compliant, trace-free disposal.
Case studies
A Journey from Problem to Scalable Success
Empowering Real Estate Investors with Ragnar
Challenge
Real estate investors often face delays and poor decisions due to fragmented data from listings, reports, and local news. The manual process of gathering and analyzing this information is time-consuming, error-prone, and biased. Without a way to quickly synthesize and act on real-time insights, investors remain reactive—missing key opportunities or making suboptimal investment choices.
Solution
Ragnar automates real estate market analysis. It continuously scans hundreds of data sources like zoning updates and financial news; to deliver predictive insights. The platform converts this data into actionable dashboards and proactive recommendations, empowering investors to make smarter, faster, and more confident decisions.
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Automated Data Lifecycle Management with Precision
Ragnar purges, redacts, and retires sensitive data precisely when consent expires. Deletion policies are enforced via metadata tags, audit logs, and time-based triggers. Its AI engine identifies and removes PII and contractual data across formats, ensuring compliant, trace-free disposal.
Clean-Up Crew with Consent-Aware Claws
Retention policies are enforced through metadata tagging, usage logs, and time-bound rules, ensuring compliance at every stage. Built-in AI redactors intelligently detect and scrub PII and contractual data across multiple formats, leaving no loose ends, no digital traces, and certainly no paw prints behind.
Uninterrupted Intelligence Across Repositories
Ragnar constantly watches for file updates, anomalies, or policy violations across repositories. With real-time triggers and streaming pipelines, it initiates auto-analysis, alerts, or red flags without delay. All activity is logged and traceable, making audits clean and effortless.
Clean-Up Crew with Consent-Aware Claws
Retention policies are enforced through metadata tagging, usage logs, and time-bound rules, ensuring compliance at every stage. Built-in AI redactors intelligently detect and scrub PII and contractual data across multiple formats, leaving no loose ends, no digital traces, and certainly no paw prints behind.
Uninterrupted Intelligence Across Repositories
Ragnar constantly watches for file updates, anomalies, or policy violations across repositories. With real-time triggers and streaming pipelines, it initiates auto-analysis, alerts, or red flags without delay. All activity is logged and traceable, making audits clean and effortless.
High-Fidelity Data Capture at Scale
Ragnar reads documents like a predator stalking prey swift, focused, and thorough. Trained on millions of real-world documents, its hybrid OCR-LLM engine handles PDFs, scans, and messy formats with ease. Structured outputs are instantly available via webhooks, APIs, or enterprise queues.
