NIST.ai
NIST.ai

NIST.ai

Precision Intelligence — Without the LLM Overhead
Smarter risk intelligence for audit-driven environments.

📊 GAAP Watch: Beyond the GAAP

NIST.ai/GAAP-Watch is your audit-ready intelligence companion—built for compliance-critical enterprises navigating the fine line between GAAP and non-GAAP reporting.

  • 🔍 Instantly Decode Non-GAAP Metrics
    Parse MD&A, earnings releases, and investor statements to flag inconsistencies, omissions, and unsupported metrics—traceable to the source.
     
  • 🛡️ Audit-Ready from Day One
    Our deterministic linguistic engine delivers explainable, rule-based outputs aligned with SEC, FASB, and industry-specific disclosure standards.
     
  • ⚖️ Transparent Compliance Intelligence
    ✅ Compare GAAP vs. non-GAAP disclosures
    ✅ Highlight embellishments and reconciliation gaps
    ✅ Generate summaries for executive or audit committee review
     
  • 🚀 Performance Case Study
    Switched from LLM to deterministic decoding and dropped latency from 35 seconds to <2 seconds—without sacrificing explainability.
     
  • 🤖 Why No LLM?
    In compliance, hallucinations are liabilities. We replaced LLMs with a policy-anchored reasoning engine for clarity you can defend.
     

🧠 What is NIST.ai?

We help organizations align with NIST standards and other governing frameworks—supporting compliance, audit readiness, and operational resilience without LLM overhead.

  • ✅ Enforces enterprise data policies
     
  • ✅ Continuous audit readiness
     
  • ✅ Purpose-built for zero-latency compliance intelligence
     
  • ✅ Built for trust—not speculation
     

🚨 Built for Resilience

Our Agentic AI engine (powered by Kestri.com) transforms complex documents into semantic insights:

  • 📄 From 7 to 550 pages—decoded instantly
    🔥 Interactive heatmaps surface what matters
    👀 Disagree with a highlight? Click it
    🖱️ Hover to explore key excerpts
     
  • 📌 Decode the latest
    Download: NIST.AI.100-2e2025 (PDF)
     

💬 Ready to Learn More?

Request a demo, download our financial audit template, or reach out directly.

Albert Rojas
Creator of NIST.ai
Contact Us

↑ Not a toy. NIST.ai is a powerful tool for a post-breach world.

Built for compliance-critical enterprises

NIST.ai decodes policy, identifies gaps, and delivers explainable insights—instantly. No hallucinations. No delays. No LLMs.

🔒 Disclaimer: NIST.ai is not affiliated with or endorsed by NIST.gov—we just help you stay ahead of it.

🚨 Audit-Ready. Always.

NIST.ai delivers fast, explainable risk intelligence. Zero latency. Zero hallucinations. Built for compliance-critical environments where trust is non-negotiable.

Case Study 1: 📄 From 7 to 550 pages—decoded instantly, with

🔥 Semantic heatmaps show what’s hot—and what’s not.

👀 Disagree with a highlight? Click it.
🖱️ Hover to explore top excerpts.

Case study 3: 📌 Decode the latest: NIST AI 100-2e2025

NIST.AI.100-2e2025 (pdf)

Download

↑ Not a toy. NIST.ai is a powerful tool for a post-breach world.

Connect With Us

Connect With Us

NIST.ai

Precision Intelligence — Without the LLM Overhead
Smarter risk intelligence for audit-driven environments.

  • Emphasized preventative data hygiene.
  • Ensured continuous conformance with NIST CSF, ISO 27001, SOC 2, HIPAA, GDPR, and OFAC—without inducing compliance “indigestion” caused by LLMs. 
  • Actively deployed in post-breach remediation and audit hardening efforts for global insurers and financial institutions.



Built for Resilience

✅ Enforces enterprise data policies


✅ Continuous audit readiness


✅ No LLM overhead


✅ Purpose-built for non-negotiable compliance

Built for compliance-critical enterprises

NIST.ai decodes policy, identifies gaps, and delivers explainable insights—instantly. No hallucinations. No delays. No LLMs.

🔒 Disclaimer: NIST.ai is not affiliated with or endorsed by NIST.gov—we just help you stay ahead of it.

Case Study 1: Optimized Document Decoding

We replaced LLMs with a high-performance linguistic model to decode 17 regulatory queries:

  • NIST.ai (Linguistic Model): < 2 seconds ⏳
  • LLM-Based Model: 35 seconds 🕒

Case Study 2: Lab Leaks Origin Covid-19

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