15 Rock Leverages AI to Prototype Decarbonization Solutions

About Using computer vision, the system automates explicit content moderation and achieves a 99% reduction in image processing time

Industry: Climate Tech

Business Type: AI development

15 Rock is a consulting firm dedicated to sustainability and carbon reduction. They help organizations evaluate their operations, uncover decarbonization opportunities, and implement strategies that lower carbon emissions, without compromising profitability.

Goals

15 Rock aimed to build an AI-powered prototype that would modernize their decarbonization consulting services. Their key objectives included:

Developing an intelligent platform to automate data research and analysis

Enabling streamlined data collection related to CO₂ emissions and asset management

Creating clear, interactive visualizations to present decarbonization strategies effectively

The Problem

15 Rock sought to elevate its sustainability consulting services by integrating AI-driven tools, but several key challenges stood in the way:

Time-Intensive Research: Gathering data on company operations, assets, and emissions was a manual, labor-heavy process that slowed down project timelines.

Analytical Complexity: Crafting effective decarbonization strategies demanded deep, sophisticated analysis of both financial and operational datasets

Limited Scalability: Their reliance on manual workflows restricted their capacity to scale and support a growing client base

Our Project Challenges

1
Extracting structured data from complex and unstructured financial and operational documents
2
Ensuring AI-generated recommendations were accurate, trustworthy, and actionable for real-world sustainability strategies

Solution

To bring this vision to life, Rytsense Technologies partnered with 15 Rock to design and develop a prototype for an AI-enabled platform tailored to sustainability consulting. The solution included:

1
Automated Research Tools
Automatically extracted data from public financial reports, operational documents, and emissions disclosures to eliminate manual effort.
2
AI-Powered Analytics
Custom algorithms analyzed CO₂ emissions data, identified high-impact decarbonization opportunities, and generated strategic recommendations.
3
Interactive Dashboards
Designed user-friendly, dynamic dashboards to visualize asset-level emissions data, reduction potential, and recommended actions.
4
Scalable Architecture
Built on a modular backend framework to accommodate future features, additional datasets, and expanded user roles.

Trained on an initial dataset of 1,500 labeled images, the model achieved 85% classification accuracy. A human-in-the-loop workflow was introduced for cases where the model’s confidence dropped below 80%, enabling continuous learning and improvement of the model over time.

Implementation

Tech Stack:

Backend

Python (FastAPI) for backend services, AWS Lambda for serverless execution, and AWS S3 for secure data storage

Frontend

React.js for a responsive and intuitive user interface

Data Collections

Web scraping tools to gather relevant data from public sources automatically

Timeline

The initial prototype was successfully delivered in just 4 months, with flexibility for future enhancements and integration.

Potential Impact

The AI prototype laid a strong technological foundation for 15 Rock to evolve their consulting practice by:

Streamlining Workflows

Reducing manual research and analysis time significantly

Enhancing Value Delivery

Offering clients data-backed, actionable decarbonization strategies

Preparing for Scale

Establishing a platform that can grow alongside client demand and feature complexity

conclusion

This successful collaboration with 15 Rock highlights Rytsense Technologies deep expertise in building AI-powered solutions for specialized domains like sustainability. By delivering a robust and scalable prototype, Rytsense Technologies empowered 15 Rock to demonstrate the transformative potential of AI in decarbonization consulting, opening the door to smarter, more efficient client engagements.

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