Our Case Studies

Anaconda RAG Agent Deployment Package (Software)

This RAG Agent Package provides a streamlined way to deploy Retrieval-Augmented Generation agents in an Anaconda environment. It consolidates all the essential components—retrieval pipelines, machine learning frameworks, and model inference tooling—into a single, easy-to-implement solution, allowing developers to focus on creating powerful conversational agents without the overhead of manually configuring dependencies.

Impact:

  • 60% reduction in developer setup time
  • Supports seamless scaling for high-traffic or production-scale deployments

AstraZeneca Financial Analytics Model (Pharmaceutical)

Our client implemented an AI-powered chatbot designed to read and analyze financial planning and analysis (FP&A) data. The chatbot utilizes advanced natural language processing and machine learning to interpret complex financial reports, extract key insights, and provide both real-time financial analysis and predictive modeling to support data-driven decision-making.

Impact:

  • $3 million annual savings in financial forecasting resource allocation
  • $1.5 million decrease in manual financial reporting costs
  • 40% faster analysis of financial data

DigiCred Education Analysis Chatbot (EdTech SaaS)

Our client implemented an AI-powered chatbot that integrates directly with student transcripts and college Learning Management Systems (LMS) to offer personalized career and graduate school planning guidance. The chatbot leverages natural language processing and machine learning to analyze a student’s academic history, skills, and interests, providing tailored recommendations for career paths, graduate programs, and job opportunities.

By offering dynamic, data-driven insights, the chatbot helps students make informed decisions about their future while automating much of the traditionally manual advising process.

Impact:

  • $1 million seed rounding funding secured
  • $500k average cost savings in operational costs for college institutions
  • 40% reduction in job placement times for college students

Merck Medical Writing Model (Pharmaceutical)

Our project involved collaborating with a Fortune 500 pharmaceutical leader to revolutionize their medical writing processes through automation. By leveraging our innovative software solution, we enabled the client to streamline the creation of critical documents such as clinical study reports, regulatory submissions, and safety narratives.

Through this collaboration, the client experienced significant time savings, enhanced quality and compliance, and improved cost efficiency, driving tangible results and empowering their team to focus on advancing healthcare innovation.

Impact:

  • Reduced document creation time by 95% from 2 weeks to <1 day
  • $20M+ of cost savings through enhanced efficiency
  • Improved accuracy and compliance with regulatory standards
  • Empowered the client's team to focus on driving healthcare innovation

Capital One Check Fraud Detection Model (Banking SaaS)

Our client implemented an advanced AI-driven fraud detection model to secure their mobile banking app, specifically targeting fraudulent check transactions. This sophisticated model leverages machine learning algorithms to analyze patterns, flag suspicious activity, and detect potential fraud in real time, ensuring a high level of accuracy and security.

Since deploying the fraud detection model, our client has experienced a 25% reduction in fraud-related losses, amounting to savings of over $5 million annually. Additionally, the system operates autonomously, monitoring thousands of transactions daily, leading to enhanced customer trust and streamlined risk management processes. This upgrade has proven instrumental in significantly boostng both security and operational efficiency.

Impact:

  • 25% reduction in fraud-related losses
  • $5 million annual cost savings due to fraudulent transactions
  • 40% decrease in manual fraud investigations

FIT:MATCH AI (E-Commerce/Retail SaaS)

Our team developed and deployed an advanced AI chatbot solution seamlessly integrated with our client’s ecommerce platform. Leveraging natural language processing and machine learning algorithms, the chatbot provided personalized product recommendations, assisted with order management, and resolved customer inquiries in real-time.

Client experienced a significant reduction in customer service response times, leading to improved customer satisfaction scores and higher retention rates. Cart abandonment rates decreased, and sales increased as the chatbot guided users through the purchasing process and offered timely assistance.

Impact:

  • $10 million Series A funding secured
  • Reduced average response time from 24 hours to <5 minutes, resulting in a 75% improvement in inquiry resolution speed
  • Decreased cart abandonment rate by 40%, leading to a 20% increase in completed purchases
  • Improved sales conversion rate by 15%

Seller IQ Real Time Sales Call AI Analytics (Software)

Our client required an AI system that listens in on real-time sales calls and provides immediate, context-based guidance to the sales representative. By integrating advanced speech recognition and natural language processing, the solution actively interprets customer cues—such as objections, questions, and buying signals—and instantly recommends effective responses or tactics. This helps sales reps capitalize on upsell opportunities, address concerns more confidently, and maintain control of the conversation.

Impact:

  • 30% reduction in sales rep onboarding time
  • Boosted sales rep confidence: Personalized coaching in real-time enables reps to handle challenging objections confidently