Intelligence Engine
Not a feature. The operating system for regulated AI.
Pre-trained vertical process patterns. Five learning layers. Per-vertical confidence thresholds. Target benchmarks. The Intelligence Engine is the operating platform Kaia runs across regulated business processes while authorized humans retain final regulated authority. We productize your workflow. You don't build it.
What the platform proved
Built on the platform that stood up a complete SEC reserves-disclosure workflow — from spec to live in production in under two weeks. We productize your workflow. You don't build it.
Your workflow isn't one of our products yet? We productize it into the same governed, benchmarked product architecture — in weeks, not quarters. Oil & Gas reserves disclosure went from spec to live in production in under two weeks. It arrives with the validation evidence your model-risk and outsourcing reviews require, on your governance clock.
It stands workflows up that fast because it starts pre-trained on the industry and compounds every expert correction — learning that does not transfer. The platform is the reason products arrive fast; it is never the thing sold.
What This Means For You
Your process intelligence gets smarter every month. And you can prove what changed.
Most AI tools are black boxes — you use them, but you have no idea if they are improving. Kaia is different. Every authorized correction becomes governed provenance. Every month, you see whether routing, verification, latency, cost, and human override posture are improving. When a regulator or client asks “how accurate is your AI?” — you have an evidence-grounded benchmark answer, with targets presented as targets — not a fake-live public score.
95%
Target privilege detection accuracy
For legal teams: target posture for privilege detection after production baselining. Published studies run sub-90% (arXiv:1904.01722).
90%+
Target first-pass adjudication accuracy
For claims teams: target posture for first-pass adjudication accuracy after production baselining. Human claims authority remains required where policy, coverage, or regulation requires it.
10
Regulated verticals, one engine
Legal, Oil & Gas, Claims, and Accounts Payable lead — alongside Health, Pharma, Real Estate, HR, Auto Loan, and Government — each with pre-trained process patterns, role context, 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 governed review thresholds.
Clinical data processing, milestone tracking, and provider integration with HIPAA-grade thresholds.
Healthcare payer claims triage and review with STP optimization and fraud detection.
Transparent Benchmarks
RRES: Routing & Resolution Efficiency Score.
Routing Accuracy
% of corrections routed to the correct learning layer after review or verification
Improvement Verification Rate
% of applied corrections that produce verified output-quality improvement
Correction-to-Improvement Latency
Time from correction submission to measured improvement in the governed loop
Cost Per Improvement
Human, compute, and infrastructure cost per verified improvement
Human Override Rate
% of reviewed corrections where humans change the automated routing decision
Sample Composite RRES Score
This sample score illustrates how the five metrics roll into a governed benchmark readout. Public RRES publication remains gated until production baselines are ready.
Privacy by Design
Your data stays yours. The process 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
Corrections improve governed routing and process posture without turning customer data into baseline training. Tenant data remains scoped while product intelligence compounds through approved patterns.
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.
Six further regulated verticals — Health, Pharma, Real Estate, HR, Auto Loan, and Government — run on the same Intelligence Engine.
Three Layers, One Intelligence
The Intelligence Engine is one of three layers.
Products lead: ten self-learning industry agents are what buyers run. This page is the operating system beneath them. And around both sits the Kaia Ecosystem — vetted practitioners, delivery partners, and builders whose contributions feed the same engine every client benefits from.
Layer 1 — The Intelligence Engine
This page: the 5-layer learning system every product runs on. Not a feature — it IS the product.
You are hereSee the Intelligence Engine work.
Classify a document. Correct the result. Watch the system learn in real time.