Labrynth Launches to Slash Regulatory Delays with Transparent AI for Permitting and Compliance

Labrynth uses AI to speed up permitting and regulatory approvals in real estate and construction, cutting delays from months to days. This boosts project timelines and reduces costs.

Published on: Aug 09, 2025
Labrynth Launches to Slash Regulatory Delays with Transparent AI for Permitting and Compliance

Labrynth: AI-Driven Solutions for Regulatory Bottlenecks in Real Estate and Construction

Labrynth is an AI-native company focused on solving one of the biggest slowdowns in the economy: permitting, licensing, compliance, and regulatory approvals. After months of research, model training, and building its AI-Services Platform, Labrynth has officially launched, offering faster and more transparent AI-powered solutions.

Background and Mission

Originating from Invisible Technologies and supported by Infinity Constellation, Labrynth combines AI speed with enterprise-grade logic to reduce delays in sectors like construction, property, infrastructure, and energy. Red tape can add months or years to major projects. Labrynth’s AI, trained on regulatory precedents and enhanced with Retrieval-Augmented Generation (RAG) alongside human expertise, offers smarter applications and faster approvals.

Why It Matters for Real Estate and Construction Professionals

For developers, permitting authorities, engineering firms, and investors, delays in approvals mean rising costs and stalled projects. Labrynth targets these pain points by compressing approval cycles and reducing dependence on consultants. This can accelerate project timelines and cut expenses, helping projects reach the market sooner.

Considering that over $1.2 trillion in global infrastructure spending is delayed annually due to permitting and compliance backlogs, Labrynth’s AI platform addresses a critical bottleneck. In the U.S. alone, regulatory delays cost billions in lost productivity, tax revenue, and stalled housing and energy projects.

A Leadership Team Focused on Results

  • Stuart Lacey: CEO and founder, a regulatory technology pioneer with over 20 years of experience and multiple patents.
  • Harold Schultz Neto: Head of Product, with expertise from Amazon and Cisco and 20+ deployments of generative AI.
  • Paul D’Souza: Go-To-Market Lead, a 30-year strategist in regulatory modernization.
  • Jonathan Tsen: Head of AI Engineering, specializing in complex permitting workflows.
  • Saranna Biel-Cohen: Head of Partnerships, with a background in building public-private coalitions.

Trust, Transparency, and Accountability

Unlike many AI tools that operate as “black boxes,” Labrynth’s platform is built on a proprietary logic framework that mirrors legal reasoning. It layers evidence, precedent, and outcomes to justify every decision. This approach allows governments, developers, and regulators to collaborate efficiently without compromising safety or standards.

Labrynth aims to shift approval timelines from months to days while maintaining rigorous oversight. This transparency helps regulators be seen as efficient and pro-business partners in development.

The Path Forward

Labrynth is positioned to be a key player for anyone involved in real estate, construction, infrastructure, or energy projects where regulatory delays create cost and time challenges. By streamlining permitting and compliance, it enables faster project delivery and economic growth.

To learn more about how AI is reshaping permitting and compliance workflows, explore courses and training on AI applications relevant to real estate and construction at Complete AI Training.

About Labrynth

Labrynth is the first transparent AI company focused on eliminating regulatory bottlenecks at scale. Its outcome-based models speed up permitting, lower compliance risks, and help local governments and industries bring projects to market faster. Backed by Invisible Technologies and Infinity Constellation, Labrynth combines AI and human expertise to build a more efficient regulatory system.

Learn more at www.labrynth.ai.


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