Atlas is an AI-powered platform that automates government permitting workflows by handling compliance lookups, code validation, and document drafting. This streamlines the review process, reduces staff workload, and improves citizen satisfaction.
Funding
Funding not disclosed
Founders
Product
Problem
Government permitting processes are often encumbered by manual compliance lookups, code validation, and document drafting, leading to extended review times and increased staff workload. This inefficiency can negatively impact citizen satisfaction and slow down development projects.
Solution
Atlas is an AI-powered platform designed to automate key aspects of the government permitting workflow. It integrates seamlessly into existing processes, automating time-consuming tasks such as compliance checks, code research, and the generation of draft decisions and public notices. By offloading these repetitive functions, Atlas enables permitting agencies to significantly reduce review times and free up staff to focus on more critical decision-making. The platform aims to improve operational efficiency, reduce backlogs, and enhance overall citizen experiences with government services.
Target Audience
The primary target audience includes local, state, and federal government permitting teams and agencies seeking to modernize their operations and improve the efficiency of their review and approval processes.
Features
- AI-driven automation for compliance lookups and code validation against jurisdictional regulations.
- Automated drafting of permit decisions and public notices.
- Closed proprietary AI model ensuring no public data sharing or external retraining.
- End-to-end encryption for safeguarding all documents and communications.
- Jurisdiction-specific data boundaries for enhanced data control.
- FedRAMP-ready architecture designed to meet federal security standards.
- Comprehensive audit trails for transparency and compliance.
- Seamless integration with existing permitting workflows without requiring disruptive IT changes.