Supercharge your permitting workflow with Generative AI. Automate document parsing, compliance checks, and timeline predictions.
Upload raw project data and let our LLMs draft 80% of your initial study, environmental impact report, and public notice documents.
Our models are trained on 50 years of local, state, and federal environmental rulings.
Enterprise-grade security. Your proprietary project data never trains public models.
Run thousands of dispersion scenarios in parallel using our cloud GPU clusters.
Get a Red/Yellow/Green compliance score in seconds, not weeks.
LSARS does not use generative AI to invent permit content. We use it where it deletes hours of repetitive reading, drafting, and reconciliation work that has always slowed the path from application to determination. Every AI-assisted output is grounded in published regulatory methodology and is reviewed by a licensed practitioner before it leaves the platform. The model never sees the agency. The practitioner does.
Upload PDFs of prior environmental reports, generator certifications, and agency correspondence. LSARS extracts the structured data points your filing requires including emission factors, stack heights, runtime hours, and BACT determinations, then normalizes them against EPA and OEHHA reference tables. Hours of manual transcription collapse to minutes, with a citation back to the source page for every extracted value.
Our LLM pipeline produces first-draft sections of HRA filings, Title V applicability narratives, NSR significance write-ups, and EIR HRA chapters using the calculations your project has already produced. Every sentence is cross-linked to its source: an emissions factor table, an OEHHA reference exposure level, a prior agency determination. A licensed consultant edits, signs, and submits. The AI never signs.
Submit a project profile and receive a structured red/yellow/green readiness assessment for the dimensions agency reviewers actually flag: significant impact level exceedance risk, modeled cancer risk above ten in a million, fenceline monitoring requirements, environmental justice overlap, and missing source-test data. Use it during pre-submittal scenario planning to fix the issues that delay filings before they delay yours.
LSARS ingests historical agency processing times from publicly disclosed permit registers and produces probabilistic timeline estimates for your jurisdiction, source category, and submission completeness. Use the forecast to set realistic internal milestones, plan generator-fleet procurement, and brief executives on expected approval windows.
Ask “what is the Virginia HB 507 Tier IV mandate effective date,” “what is the OEHHA cancer potency factor for formaldehyde,” or “which Title V state permits are issued in under twelve months,” and receive a citation-backed answer drawn from the published regulatory record. The platform refuses to answer when the source record is silent or contradictory.
Connect AI automation with health risk modeling and community outcomes.