Intelligence Engine
Not a feature. The operating system for regulated AI.
Five learning layers. Per-vertical confidence thresholds. Target benchmarks. The Intelligence Engine is the foundation everything else runs on.
What This Means For You
Your AI gets smarter every month. And you can prove it.
Most AI tools are black boxes — you use them, but you have no idea if they are improving. Kaia is different. Every correction your team makes trains the AI. Every month, you see measurable accuracy improvement. When a regulator or client asks “how accurate is your AI?” — you have the published answer.
95%
Target privilege detection accuracy
For legal teams: the AI catches privilege issues that manual review misses. Industry average is 87%.
42%
Target straight-through processing
For claims teams: routine claims are auto-adjudicated. Industry average is 7%. That's 6x fewer manual reviews.
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Regulated industry verticals
Legal, Healthcare, Claims, Government, Pharma, Real Estate, HR, Auto Loan — each with its own trained AI and compliance standards.
How It Learns
Five layers of continuous learning.
Prompt Optimization
Factual errors fixed by improving classification prompts
Knowledge Base
Missing context added to domain-specific knowledge stores
Model Adaptation
Domain misunderstandings corrected through model retraining
Reward Model
Format and style preferences learned via preference optimization
Architecture
Fundamental capability gaps addressed through system redesign
Confidence Thresholds
Different industries demand different standards.
eDiscovery, document classification, and entity extraction with court-admissible confidence levels.
Clinical data processing, milestone tracking, and provider integration with HIPAA-grade thresholds.
Healthcare payer claims adjudication with STP optimization and fraud detection.
Transparent Benchmarks
RRES: Routing & Resolution Efficiency Score.
Resolution Accuracy
% of corrections that improve model performance
Intelligent Volume Routing
% of documents correctly auto-routed
Continuous Improvement Lift
Month-over-month accuracy improvement
Cost Per Improvement
Dollar cost per measurable accuracy gain
Human Override Rate
% of AI decisions overridden by experts
Composite RRES Score
The composite score weights all five metrics into a single, auditable number that tracks platform improvement over time.
Privacy by Design
Your data stays yours. The intelligence compounds.
Tenant Isolation
Every client's data is completely isolated. No cross-contamination. No shared model weights. Federated architecture from day one.
Federated Learning
Models improve from corrections without exposing underlying data. Each client benefits from ecosystem learning without sharing sensitive information.
Compliance Ready
Built for HIPAA, SOC 2, and state-level regulatory requirements. Audit trails for every classification, correction, and model update.
See It in Action
The Intelligence Engine powers every vertical.
See the Intelligence Engine work.
Classify a document. Correct the result. Watch the system learn in real time.