AI-Based Custom CV Model for Vehicle Recognition

AI-Powered Decarbonization Prototype

Accelerating Sustainability with Intelligent Carbon Reduction Insights

Achieved a 99% reduction in manual research time and delivered automated, data-driven decarbonization insights through an AI-enabled platform. The solution empowered 15 Rock to transform climate consulting with real-time emissions analysis, intelligent strategy recommendations, and scalable sustainability automation.

Industry

Climate Tech / Sustainability Consulting

Business Type

AI Development & Climate Advisory Firm

Time to Team Deployment

0Months

CO₂ Data Sources Integrated

0+

Model Accuracy (Initial Training)

0%

Manual Research Time Reduced

0%

Transform your image verification with AI-driven precision.

Services Provided

AI Chatbot Development and Integration

Custom AI Model Training and Deployment

Natural Language Processing (NLP) Solutions

Data Analytics & Reporting Solutions

UI/UX Design and Dashboard Integration

Multi-Platform Deployment & Optimization

Continuous AI Model Monitoring and Optimization

15 Rock Leverages AI to Prototype Decarbonization Solutions

Predicting Carbon Reduction Opportunities with AI-Powered Intelligence

15 Rock, a leading sustainability consulting firm, collaborated with Rytsense Technologies to develop an AI-powered prototype that automates carbon data analysis and decarbonization research. The solution leverages machine learning and data automation to extract, analyze, and visualize CO₂ emissions insights from complex reports, reducing manual research time by 99% and enabling data-driven sustainability strategies. This AI-enabled system empowers 15 Rock to deliver faster, more accurate, and scalable decarbonization consulting for clients across the climate tech sector.

Client Vision

15 Rock is a sustainability-focused consulting firm helping enterprises evaluate operations, uncover carbon reduction opportunities, and implement emission-lowering strategies — all while maintaining profitability.

The firm sought to modernize its decarbonization consulting processusing artificial intelligence. Manual research and analysis had become time-intensive and limited scalability. Their key objectives were to:

Automate research and data extraction from complex documents and emission reports.
Enable AI-powered analysis of CO₂ emissions and asset-level performance.
Visualize decarbonization insights through interactive dashboards for clients.

The vision was clear — leverage AI and automation to transform sustainability consulting into a scalable, data-driven service offering.

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Business Overview & Requirement

15 Rock faced operational challenges that limited its consulting efficiency and scalability

•High Image Volume: 120,000 vehicle images uploaded monthly, many containing inappropriate content.
•Inefficient Manual Moderation: A 15-person team struggled to keep up with uploads, leading to slow review cycles and human error.
•Discrepancies in Vehicle Details: Ensuring uploaded images matched user-submitted make and model was difficult without automation.

The client’s internal challenges demanded a fast, reliable, and high-quality staffing solution

✅Aggressive Hiring Timeline: A full team of 15+ data professionals needed to be deployed within 15 days.
✅Multi-Disciplinary Skill Requirements: The roles required expertise across Data Engineering, BI, and AI domains.
✅Quality Under Pressure: The talent had to be highly qualified to drive the company’s strategic analytics and data transformation goals.

The goal was to create a high-performing, cross-functional data team capable of scaling global analytics operations and enhancing enterprise-wide data literacy.

Comprehensive Staff Augmentation Solution

Expert Talent Deployment

Rytsense curated and deployed a team of data scientists, analysts, BI developers, and engineers with proven experience in data analytics, visualization, and enterprise-grade BI systems.

Seamless Team Integration

Our professionals integrated seamlessly with the client’s internal analytics and marketing teams—collaborating on KPIs, data pipelines, and business objectives to align with strategic outcomes.

Enterprise Data Warehousing (EDW)

We implemented a centralized EDW solution by automating ETL pipelines from 10+ data sources, forming a foundation for descriptive and predictive analytics frameworks.

Actionable Visualizations

Using advanced BI tools, Rytsense transformed raw data into interactive dashboards and executive-level reports, providing instant access to key marketing and performance insights.

Advanced Analytics Enablement

We deployed machine learning models to identify customer behavior patterns, optimize campaign ROI, and enhance inventory management through predictive intelligence.

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Challenges

Aggressive Hiring Timeline

Assembling a multi-disciplinary team within 15 days required rapid sourcing and onboarding of niche talent without compromising quality.

Multi-Disciplinary Expertise

Balancing data engineers, BI developers, and AI specialists in one team demanded a wide recruitment network and precise technical screening.

Quality Under Pressure

The client required top-tier data experts capable of immediately contributing to high-stakes analytics initiatives.

Data Integration Complexity

Cross-referencing make and model from images required precise computer vision algorithms and feature extraction.

Continuous Scalability

The data ecosystem had to support scalability across multiple departments and regions while maintaining cost efficiency.

Solutions Implemented

Custom Staff Augmentation Strategy

Designed a scalable engagement model to source and deploy domain-specific experts within a tight deadline.

End-to-End Data Engineering

Automated ETL processes and unified data from 10+ sources into a robust enterprise data warehouse.

Real-Time Analytics Dashboard

Built dynamic BI dashboards for leadership teams to track marketing KPIs and campaign ROI.

Predictive & Prescriptive Insights

Integrated ML algorithms for demand forecasting, audience segmentation, and performance optimization.

Continuous Collaboration Framework

Established a hybrid model ensuring continuous communication between Rytsense’s technical leads and the client’s global teams.

Aspect Comparison

Aspect

Before Rytsense Engagement

After Rytsense Engagement

Hiring & Staffing

Lengthy recruitment cycles and skill shortages

Fully staffed data team within 10–15 days

Data Management

Fragmented data and manual workflows

Centralized EDW and automated ETL pipelines

Analytics Insight

Limited, static reporting

Interactive dashboards and predictive analytics

Operational Costs

High fixed costs for in-house talent

25% reduction in hiring and operational costs

Scalability

Difficult to scale analytics projects

On-demand team expansion with zero downtime

Decision-Making

Reactive and intuition-driven

Proactive and data-driven business strategy

Results Achieved

25% reduction in hiring and operational costs

Rapid scaling – 15+ experts onboarded within 10 days

50% reduction in manual data tasks via automation

20+ hours saved weekly for strategic planning and creative projects

Improved enterprise-wide data maturity and real-time decision-making

Conclusion

Through its strategicStaff Augmentation Services, Rytsense Technologies,empowered the client to accelerate digital transformation and establish a truly data-driven enterprise.By addressing urgent staffing needs and implementing advanced data solutions, Rytsense delivered a scalable, future-ready analytics infrastructure — enabling smarter decisions, faster execution, and long-term business growth.

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