EARLY ACCESS — ENVIRONMENTAL INTELLIGENCE PLATFORM

Superhuman capabilities for the modern environmental professional

Statistical prediction models, AI-powered site analysis, regulatory report generation, and spatial mapping — built on real physical and chemical models for groundwater monitoring and environmental site assessment.

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Built for firms like
GeosyntecBrown & CaldwellKleinfelderGSI EnvironmentalAnchor QEA
6
Prediction Models
Trend, forecast, plume, closure, remedy, exceedance
77k+
CA Reference Sites
GeoTracker database with pre-loaded data
15+
AI Agent Tools
SCM, predictions, validation, graph queries
<5 min
Import to Insight
Upload → validate → screen → predict

What Vadose does today

Production modules built for environmental consulting workflows — from data import and QA/QC through statistical prediction and regulatory submittal.

📈
Predictive Site Intelligence
6-Model Statistical Engine
Mann-Kendall trend analysis, first-order decay kinetics, plume centroid drift tracking, and closure readiness scoring — grounded in EPA-compliant physical models, not black-box ML. Accuracy-tracked predictions with backtesting.
🧠
AI Site Assistant
Deep Environmental Understanding
An AI that truly understands your site — fusing the conceptual site model, end-state vision, analytical data, hydrogeologic context, and regulatory standards into a single reasoning layer. Answers grounded in physical models and real site data.
⚡
Exceedance Engine
Automated Regulatory Screening
Import from Excel, CSV, or GeoTracker EDF — staged QA/QC review with 5 validation rules, approval workflow, then auto-screening against EPA MCLs, state standards, or custom standard sets with qualifier logic.
📄
Report Builder & Plume Animation
From Data to Submittal-Ready Documents
AI-generated regulatory narratives citing real concentrations and trends. Temporal plume contour animations, cross-section views, plan-view maps — all exportable as DOCX reports, GIF, or WebM.
🔄
Site Lifecycle Tracker
Investigation Through Closure
Six-phase lifecycle management with milestones, deliverables, and cost tracking. Progress-to-closure scoring that combines ESV goal compliance, exceedance-free quarters, and CA LTCP eligibility evaluation.
👥
Team Collaboration
Cross-Org Sharing & Permissions
Hierarchical permissions from site to portfolio to org. Share sites across organizations with granular access control, threaded comments, and role-based gating — built for multi-firm environmental projects.

An AI that actually understands your site

Most AI tools treat environmental data as generic text. Vadose fuses six layers of structured site intelligence so the AI reasons with the same context an experienced hydrogeologist would.

Site Conceptual Model
Source zones, hydrogeology, plume extent, receptors, remedies, groundwater flow
End-State Vision
Cleanup goals, institutional controls, engineering controls, progress scoring
Analytical Data
QA/QC-filtered results, trend analysis, exceedance history, qualifier logic
Physical Models
Mann-Kendall trends, first-order decay, centroid drift, Sen's slope projection
Knowledge Graph
Entity relationships, community detection, multi-hop reasoning, evidence linking
Site Benchmarking
Gower similarity across anonymized sites for cleanup timeline estimates

Every AI response is audit-logged with model, token count, tool calls, and RAG chunk citations — so you can trace exactly how conclusions were reached.

From documents to decisions in minutes

01
Import & Validate
Upload lab data from Excel, CSV, or GeoTracker EDF. Staged review with auto-validation, bulk rename, qualifier normalization, and approval before anything touches your site.
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02
Screen & Predict
Auto-screen against regulatory standards. Six statistical models compute trends, forecast concentrations, classify plume stability, and score closure readiness.
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03
Analyze & Understand
AI assistant with full site context — SCM, ESV, knowledge graph, and prediction data. Contour maps, cross-sections, and plume animations for spatial analysis.
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04
Report & Submit
AI-written DOCX reports, exceedance grids, GeoJSON exports, and animated figures — formatted for regulatory review and client delivery.

Enterprise-grade security, zero compromise

Your environmental data is sensitive — site assessments, compliance records, client information. Vadose is built from the ground up with the security posture that environmental firms and their clients demand.

We never train AI models on your data. Every query is authenticated. Your documents stay in your tenant. Full stop.

SOC 2
Type II Certified
ISO 27001
Information Security
GDPR
Data Privacy
FedRAMP
In Progress
AES-256
Encryption at Rest
TLS 1.3
Encryption in Transit
RBAC
Role-Based Access
Zero Train
No Model Training

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Ready to transform how your team does environmental work?

Design partner spots are limited. Apply for free beta access today.

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