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Our Clients


Our Clients have Big Ambitions


We seamlessly embed AI into your workflow & tech stack.
...delivering measurable business outcomes


🚀

Client Impact

Harnessing AI to solve complex business challenges and drive measurable business growth.

🧠

Machine Learning & Data Science

Harnessing Machine Learning to drive predictions and insights with measurable improvements to margins.

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Scale & Sustain AI

Scaling AI systems with cost optimal solutions.
Automated maintenance to reduce operational costs of AI systems.



30%Faster Time-to-Market
50+Enterprise Clients
$100M+Client Value Created

🚀 Client Impact

Harnessing AI to solve complex business challenges and drive measurable business growth.

Enterprise Supplier Engagement Platform

Transforming Supplier Engagement with AI-Powered Insights

Revolutionizing Payments with a Predictive Engine

Transforming Financial Risk Management with AI-Powered Payment Predictions

Streamlining Claims with Intelligent Workflow

Revolutionizing Claims Processing Through AI-Driven Coordination and Timing Optimization

Enterprise Supplier Engagement Platform

Transforming Supplier Engagement with AI-Powered Insights

40%
Increase in Contract Utilization
30%
Boost in supplier productivity

A leading enterprise struggled with stagnant supplier engagement and a fragmented data landscape, hindering growth and profitability. Suppliers faced challenges accessing actionable insights from siloed datasets, resulting in a low Contract Utilization Rate (CUR) and missed opportunities. The need for a modern, AI-driven solution to empower suppliers with tailored strategies became critical to stay competitive.

The Rayze AI Lab partnered with the client to deliver the Supplier Central web application. Leveraging existing datasets, we integrated AI-enhanced features to provide prescriptive, actionable insights and conversion measurements. The platform offers a seamless user experience with an intuitive interface, AI-generated swap suggestions, and product optimization algorithms. Our team's expertise in data integration, AI development, and UX design ensured a holistic view of supplier performance, driving tailored solutions that adapt to real-time needs.

When implemented, Supplier Central transformed the client's supplier ecosystem, boosting the CUR by 40% through data-driven decisions and increasing supplier productivity by 30%. Suppliers gained a competitive edge with personalized strategies, while the client saw enhanced engagement and revenue growth. This success story showcases Rayze's ability to modernize legacy systems with embedded AI, delivering measurable value and long-term scalability.

"Rayze transformed our fragmented supplier data into a unified AI-powered platform that revolutionized how we engage with partners. The 40% improvement in contract utilization has directly impacted our bottom line."

Enterprise Leadership
CLIENT TESTIMONIAL

🧠 Machine Learning & Data Science

Harnessing Machine Learning to drive predictions and insights with measurable improvements to margins.

Boosting Sales with AI-Powered Data Transformation

Transforming MicroMobility Sales Through Unified Data Intelligence

Democratizing Data Science Operations

Automating Manual ML Operations into an Automated Flywheel for Enhanced Revenue Growth

Enhancing Operations with Predictive Analytics

Transforming Multi-Location Performance with Machine Learning for Demand Forecasting

Boosting Sales with AI-Powered Data Transformation

Transforming MicroMobility Sales Through Unified Data Intelligence

50%
Sales conversion increase
40%
Data processing time reduction

A leader in the booming MicroMobility solutions market, with a strong sales engine and robust US presence, faced a critical challenge. A fragmented data strategy, plagued by disparate data stores, hindered their ability to decode customer behavior, stalling sales growth and competitive edge. The client needed a unified, AI-driven approach to turn data into actionable insights.

The Rayze AI Lab partnered with the client to build a state-of-the-art data platform. We implemented a sophisticated cloud-based architecture using AWS and Azure, enabling meticulous data ingestion from siloed sources with Apache Kafka for real-time streaming and robust governance via Apache Airflow. Our solution featured advanced compute processes powered by Apache Spark for large-scale analytics, integrated with AI models (e.g., TensorFlow-based predictive algorithms) to deliver strategic product recommendations. Insightful dashboards, built on Power BI, provided real-time visibility, while an orchestration engine automated service dependencies for end-to-end efficiency. Collaborating closely with the client's engineering, product, and data science teams, we embedded AI into their legacy stack, modernizing operations and empowering self-sufficiency.

When implemented, the platform transformed the client's sales strategy, driving a 50% increase in conversion rates through precise customer insights and cutting data processing time by 40%. Data scientists and analysts now leverage unified data for predictive modeling and growth strategies, positioning the client as a leader in the dynamic MicroMobility market. This showcases Rayze's ability to deliver scalable, production-ready AI solutions.

"Rayze's data platform unlocked our potential, turning fragmented data into a sales superpower we never imagined."

Client Leadership
CLIENT TESTIMONIAL

âš¡ Scale & Sustain AI

Scaling AI systems with cost optimal solutions.
Automated maintenance to reduce operational costs of AI systems.

Achieving Predictable AI Outcomes

AI-Powered Restaurant Discovery Platform with Robust Eval Testing Framework

Scaling AI Across Property Operations

Building an AI Center of Excellence for Global Real Estate Management

Scale your Analytics Infrastructure

Payments Software Performance Engine with Real-Time Analytics

Achieving Predictable AI Outcomes

AI-Powered Restaurant Discovery Platform with Robust Eval Testing Framework

45%
Recommendation accuracy improvement
35%
Faster development iterations

A mature Series B private company, valued at over $1B, powers its profitability through a food credits platform with a vast, curated repository of USA restaurants. Facing the challenge of building an internal LLM to recommend restaurants and popular dishes based on anonymized customer profiles, transaction history, geolocation, and preferences (e.g., taste, ambience), the client hit roadblocks in testing. Infinite user queries led to unpredictable hallucinations or irrelevant suggestions, with issues surfacing only post-launch from real user feedback—too late to prevent lost engagement and trust.

The Rayze AI Lab teamed up with the client's internal development teams to design and deploy a full AI recommendation platform, training the LLM on their rich datasets for hyper-personalized suggestions that captivate users. To tackle testing unpredictability, we engineered a robust framework generating diverse personas (e.g., based on customer segments like budget-conscious families or adventure seekers) and automated test cases for boundary rules, compliant responses, and edge scenarios. Reinforcement learning refines tests in real-time from live feedback, ensuring evolving coverage. Integrated into their CI/CD pipeline for zero manual intervention, it enables fully automated retraining and minimal maintenance, all while embedding AI into their legacy stack for seamless modernization.

When implemented, the platform and testing framework revolutionized the client's app, delivering 45% more accurate recommendations that drive user delight and retention, while accelerating iterations by 35% through predictable, proactive validation. This not only minimized post-launch fixes but also boosted overall engagement, proving Rayze's end-to-end applied AI expertise for scalable, reliable innovation.

"Rayze transformed our recommendation chaos into precision dining experiences. The 45% accuracy improvement and 35% faster iterations have revolutionized how our users discover and enjoy restaurants."

Client Leadership
CLIENT TESTIMONIAL

Proven Client Success Methodology

Traditional Approach
18-24 months
Requirements Gathering (4-6 months)
Vendor Selection (3-4 months)
Development & Integration (8-12 months)
Testing & Rollout (3-4 months)
→
Rayze Partnership Approach
10-14 months
Strategic Assessment (2-3 weeks)
Rapid Prototyping (1-2 months)
Agile Development (6-8 months)
Continuous Deployment (2-3 months)

Our Client Success Framework

Strategic Assessment

Deep dive into business objectives, technical landscape, and growth goals to create tailored transformation roadmaps.

Agile Execution

Iterative development approach with continuous feedback loops ensuring alignment with business outcomes.

Knowledge Transfer

Comprehensive training and documentation ensuring client teams can maintain and extend solutions independently.

Ongoing Partnership

Long-term strategic support with performance monitoring and continuous optimization of delivered solutions.

Partner with Rayze

Join 50+ enterprise clients who have transformed their businesses through strategic technology partnerships. Schedule a consultation to explore how we can accelerate your digital transformation journey.