INTRODUCING

Semantic Drift Intelligence™

The control plane for meaning across SQL, BI, documentation and AI systems.

See where your definitions drift. Fix what matters. Restore trust in your data and AI.

Every company has multiple versions of the same metric.

Nobody notices until dashboards disagree, AI agents misinterpret logic, or teams start arguing about which number is right.

Semantic Drift Intelligence gives you visibility into how definitions change across your entire ecosystem so you can catch drift before it becomes a business problem.

Two Connected Ways to Restore Trust in Your Data

Choose the starting point that aligns with your organization’s readiness—with a clear path forward.

THE PROBLEM

Your data is not broken. Your definitions are.

Modern data and AI environments move fast. SQL changes. BI logic changes. Documentation changes. AI agents learn from all of it. Meaning drifts quietly in the background.

This drift leads to:
—
Conflicting dashboards & KPI disputes
—
Slow decisions & loss of trust
—
AI hallucinations & governance failures

You cannot govern what you cannot see.

THE SOLUTION

A control plane for meaning.

Semantic Drift Intelligence continuously analyzes SQL, BI logic, documentation and AI agent behavior to detect where definitions diverge, contradict or evolve.

You get a clear, unified view of:
—
How each metric is defined & where definitions differ
—
What changed, why it changed, and how severe the drift is
—
What to fix first with clear recommendations

This is semantic observability for the enterprise.

How It Works

From ingestion to remediation—a continuous cycle of semantic observability.

01

Ingest your sources

Connect SQL, Azure pipelines, Power BI models, documentation, and AI logs to surface every definition across systems — with more on the way

02

Normalize definitions

Parse and structure SQL, Azure pipeline logic, Power BI measures, and documentation into a unified format so definitions become directly comparable

03

Detect drift

Use deterministic rules, embeddings, and LLM reasoning to identify inconsistencies across SQL, Azure pipelines, Power BI, and documentation

04

Score severity

Each drift event is ranked by impact and confidence, generating a severity score that helps teams prioritize corrective actions across their entire data estate

05

Recommend fixes

Clear explanations and recommended remediations, giving teams actionable steps to correct drift, restore alignment, and prevent future inconsistencies

06

Govern meaning

Track definition changes, assign clear ownership, and maintain alignment over time to ensure meaning stays consistent across teams, systems, and workflows

Complete Semantic Drift Intelligence Platform

Everything you need to detect, understand, and fix definition drift across your entire ecosystem.

📋

Semantic Registry

A single source of truth for metric definitions, versions and ownership.

🔍

SQL Drift Detection

Identify mismatched filters, windows, joins and logic across SQL models.

📄

Documentation Drift

Find contradictions between docs and actual implementation.

📊

BI Logic Drift

See where dashboards diverge from source definitions.

🤖

AI Agent Drift

Detect when AI systems interpret definitions differently than intended.

👁️

Drift Viewer

Side‑by‑side comparisons with explanations and suggested fixes.

⚙️

Governance Workflow

Assign owners, track changes and maintain alignment.

Purpose-Built for Every Stakeholder

Semantic drift affects everyone differently. Here’s how we help each role.

📊

For Data Teams

Your dashboards disagree and nobody knows why. You spend hours tracing SQL, comparing filters, and trying to explain differences that should not exist in the first place.

Semantic Drift Intelligence helps you:

— See every version of a metric across SQL, BI and documentation
— Understand exactly where logic diverged
— Catch drift before it becomes a fire drill
— Build trust in your metrics again

This is the end of “which dashboard is right.”

📈

For Analytics & BI Teams

You maintain dashboards that depend on definitions you did not create. You inherit logic from SQL, documentation and tribal knowledge. When something breaks, you get blamed first.

Semantic Drift Intelligence helps you:

— Detect when BI logic drifts from source definitions
— Compare dashboard logic to SQL side by side
— Identify mismatched windows, filters and joins
— Reduce rework and rebuilds

This is BI with clarity instead of chaos.

🧠

For AI & ML Teams

Your agents and models learn from SQL, BI logic and documentation. If those sources drift, your AI drifts too.

Semantic Drift Intelligence helps you:

— Detect when AI agents interpret definitions differently
— Identify semantic inconsistencies in training signals
— Prevent silent model drift caused by shifting definitions
— Improve reliability and reduce hallucinations

This is semantic guardrails for AI.

🔐

For Governance & Data Stewards

You own the glossary, but you do not own the implementation. Definitions get documented once and then drift quietly for months.

Semantic Drift Intelligence helps you:

— See where definitions diverge from documentation
— Track changes over time
— Assign owners and enforce alignment
— Maintain a living, accurate semantic layer

This is governance that keeps up with reality.

🎯

For Executives & Decision Makers

You want to trust your numbers. You want teams aligned. You want decisions made on facts, not debates.

Semantic Drift Intelligence helps you:

— Eliminate conflicting KPIs
— Reduce political friction
— Increase confidence in dashboards and AI outputs
— Speed up decision cycles

This is clarity at the leadership level.

Enterprise‑Grade Pricing, Transparent by Design

One implementation fee. Two subscription tiers. No surprises.

One‑Time Implementation Fee

$120,000

Deterministic onboarding and control‑plane deployment.

📋 What’s Included
— Environment provisioning
— Semantic Registry initialization
— SQL ingestion pipeline setup
— BI + AI ingestion configuration
— Drift detectors deployment
— Governance workflow configuration
— Metric catalog setup
— Security + SSO integration
— VNet / Private Cloud configuration
— End‑to‑end validation
— Executive enablement workshop
PROFESSIONAL

$5,000/month

SQL + documentation drift detection.

  • — Semantic Registry
  • — SQL ingestion & drift detection
  • — Documentation ingestion
  • — Drift Viewer
  • — Up to 50 metrics
  • — Email support
RECOMMENDED
ENTERPRISE

$12,500/month

Full cross-system drift observability + governance.

  • — BI ingestion
  • — AI agent drift detection
  • — Governance workflows
  • — SSO & audit logging
  • — Unlimited metrics
  • — Priority support
  • — Private deployment option
  • — Quarterly governance review

Optional Add‑Ons

🤖

AI Drift Guardrails

$2,500/month

Advanced AI semantic monitoring and hallucination prevention.

🛡️

Semantic Model Hardening

$7,500one‑time

Deep validation and lock‑down of critical metric definitions.

📊

BI Governance Accelerator

$15,000one‑time

Pre‑built dashboard templates and BI semantic alignment.

☁️

Private Cloud / VNet Deployment

$2,000/month

Dedicated VNet, private link, and air‑gapped options.

See where your definitions drift.

Request early access and get a drift diagnostic for your top metrics.