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> CORE_CAPABILITIES

The AI Training Platform Built for Compliance Teams

Generate courseware from your documentation—with every claim traceable to its source. When Episteca doesn't know something, it tells you.

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ISO 27001 SOC 2 GDPR HIPAA

Why Generic AI Fails Compliance Teams

Generic large language models present a fundamental problem for compliance training: they hallucinate. They generate confident, fluent, and sometimes dangerously wrong content without any indication that they're guessing.

In compliance training, a wrong answer isn't just unhelpful—it's a liability. When your AML training invents a reporting threshold, you've created audit exposure and operational risk.

The Compliance Dilemma

  • Fast (Generic AI): Unreliable, unverifiable, risky
  • Safe (Manual): Slow, expensive, always outdated
Deterministic Engine with Knowledge Firewall
KNOWLEDGE_FIREWALL
> THE_SOLUTION

Bounded Knowledge Generation

Your Documents Only

Upload your PDFs, SOPs, and policies. The AI retrieves and generates content exclusively from this corpus. No outside info.

Clickable Citations

Every statement includes inline source attribution. Auditors can trace any content back to its source in seconds.

Knowledge Firewall

Proprietary architecture enforces a strict boundary. Low-confidence retrievals are blocked, not smoothed over.

Gap Detection

When confidence is low, Episteca tells you what's missing instead of guessing. Discover documentation holes early.

Core Engineering Capabilities

Source-Grounded Retrieval (RAG)

Text is parsed using OCR and segmented into semantic chunks that preserve context like headers and page numbers.

Confidence Thresholds

Configurable similarity scores (default 0.85) determine when generation proceeds vs. pauses for human review.

Multi-Format Output

Export once to SCORM 1.2/2004, xAPI, HTML5, or Assessment Banks with source-backed correct answers.

Enterprise Security

Data isolation ensures your documents never train external models. SOC 2 Type II compliant infrastructure.

> SYSTEM_FLOW

Under the Hood

For technical buyers and IT teams evaluating Episteca, our pipeline is designed for auditability and precision.

# PROCESSING_PIPELINE

  • 01 Ingest: PDF parsing with OCR & metadata preservation
  • 02 Chunk: Intelligent semantic segmentation
  • 03 Embed: 1536-dimensional vector transformation
  • 04 Index: Sub-second vector database retrieval

# GENERATION_PIPELINE

  • 01 Query: User request or template trigger
  • 02 Score: Confidence assessment for each passage
  • 03 Generate: Bounded construction with inline citations
  • 04 Verify: Cross-reference check against source

Ready to Build Audit-Ready Training?

Join the waitlist to get early access to our bounded knowledge engine.

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