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Gen AI helped a manufacturing company update their brand logo across 2 M+ documents spanning 15 different document management systems. Using AI, our client was able to migrate logos in 3 weeks instead of the projected 8 months.
Explore how Gen AI empowered our clients to overcome challenges and achieve business impact.
Gen AI helped a manufacturing company update their brand logo across 2 M+ documents spanning 15 different document management systems. Using AI, our client was able to migrate logos in 3 weeks instead of the projected 8 months.
A renowned global leader in innovative bicycle design and high-quality manufacturing, offering a diverse range of bikes for casual riders, adventurers, and professional athletes.
We developed a comprehensive solution that leveraged Gen AI to automate the RFP process. The solution consisted of:
A prominent US-based technology leader making AI-powered chips for automobiles and electric vehicles, as well as manufacturing home and grid-scale battery storage systems.
A prominent global industrial technology company and leading manufacturer of advanced CNC machine tools, with 12 wholly-owned subsidiaries worldwide and over 35 years of industry expertise.
A global industrial technology leader providing expertise in electrification, automation, and digitization for smart industries, infrastructure, data centers, buildings, and homes.
The company faced challenges in production planning and inventory management, including inaccurate demand forecasting, inefficient production scheduling, and high inventory levels. They needed a solution that could help them optimize their production planning and inventory management processes.
A publicly listed company that produces and exports a wide range of two and three-wheeler vehicles, recognized globally as the best manufacturer in this category.
The company faced challenges in maintaining their machines, which resulted in frequent breakdowns and unplanned downtime. They needed a solution that could guide maintenance personnel through the maintenance process, ensuring that machines were properly maintained and reducing downtime.
An American manufacturing company founded in 1993, headquartered in Boston, working in aerospace, energy, and pioneering transformative technologies with 6,000+ employees.
The company’s existing quality control processes relied heavily on manual inspections and sampling, which were time-consuming, subjective, and prone to errors. With increasing product complexity and production volumes, the traditional approach was no longer scalable or effective. The manufacturer recognized the need for a more data-driven, intelligent quality management system.
A leading provider of industrial automation and digital transformation solutions, building systems integrating components like PLCs, HMIs and sensors for real-time monitoring and control of industrial processes.
A well-known leader in the agricultural manufacturing industry, producing a comprehensive range of essential farm equipment including tractors, harvesters, and other advanced machinery.
The company faced challenges in generating high-quality images of their products for inspection and quality control purposes. They needed a solution that could generate realistic and accurate images of their products, reducing the need for physical prototypes and improving the efficiency of their production process.
A major manufacturer of sports equipment and the world’s largest supplier of athletic shoes, apparel, and other high-performance sporting goods for professional and recreational athletes.
The company faced challenges in analyzing large volumes of data from various sources, including sensors, machines, and customer feedback. They needed a solution that could integrate and analyze this data to provide actionable insights and improve decision-making processes.
We applied our expertise to develop a Gen AI-powered chatbot for patient access: scheduling, billing inquiries, personalized medical guidance, and virtual assistant integration
The firm struggles with several challenges hindering growth and optimal patient care: Difficulty accessing information (appointments, billing) for patients Overburdened staff answering repetitive questions
We applied our expertise in to develop a comprehensive Gen AI-powered solution:
We implemented automation with RPA and Gen AI for administrative tasks, enhancing career paths with personalized coaching consultations.
The healthcare network’s administrative assistants were often overburdened with manual, repetitive tasks that differed from their ability to provide high-quality support to clinicians and patients. This led to frustration, burnout, and suboptimal patient experiences.
We implemented a GenAI and RAG-powered platform for capturing symptoms, triaging patients, offering personalized care plans, and automating clinical documentation.
The healthcare provider’s existing patient care navigation process was inefficient and burdensome for both patients and staff. Patients often faced long wait times, confusion about where to go for care, and a bad user experience. Meanwhile, clinical staff were overwhelmed with administrative tasks related to patient intake, triage, and routing.
We implemented a GenAI and RAG-powered digital navigation platform that could:
Our solution integrates advanced NLP for accurate clinical documentation, multimodal data integration, personalized templates, real-time assistance, and continuous learning from physician feedback.
Physicians at the healthcare system were spending an inordinate amount of time on documentation, often having to work late into the evenings to complete their notes. This administrative burden was contributing to physician burnout and negatively impacting their ability to focus on patient care. The existing documentation process was also prone to inconsistencies and errors, which raised concerns around regulatory compliance and patient safety.
The key components of the solution we provide consisted of:
We developed a tool integrating member EOB and provider bill data, employing advanced algorithms for accurate matching and real-time updates.
The company faced challenges in ensuring that member EOBs and provider bills accurately matched, leading to confusion and potential errors. They needed a solution that could streamline the process and reduce the risk of discrepancies.
We developed a comprehensive solution that integrated a member EOB and provider bill matching tool. The tool consisted of:
We have developed our solution by integrating patient data, training a Gen AI model for personalized messages, and delivering them through email, text, and patient portals.
Our customer faced a significant challenge in effectively communicating with patients, resulting in misunderstandings, miscommunications, and poor patient outcomes due to the lack of personalization and inadequate patient engagement.
We developed an AI-powered EHR search and summarization solution which is composed of:
Developed AI-powered EHR search & summarization: NLP for document search, deep learning models for info extraction, RAG for concise summaries.
Clinicians spend a significant portion of their time analyzing extensive Electronic Health Records (EHRs) to gather patient information. This time-consuming process can lead to Delayed Diagnoses and errors. In cases where the patient is unconscious and unable to tell allergies, preexisting conditions, NLP powered EHR search becomes a life-saving feature.
We developed an AI-powered EHR search and summarization solution which is composed of:
We developed an AI-powered Enhanced Medical Search solution using a hybrid approach that combines Gen AI and Natural Language Processing (NLP)
The institution faced challenges in efficiently searching for relevant medical literature, with researchers spending 30% of their time on manual searches and filtering through large volumes of data. This process was time-consuming and often led to missed opportunities for breakthroughs.
We developed an AI-powered Enhanced Medical Search solution using a hybrid approach that combines Gen AI and Natural Language Processing (NLP). This solution consists of:
We devised a pricing and testing strategy for an embedded banking product using Gen AI for market analysis, feedback collection, compliance, and pricing scripts.
The company faced challenges in pricing and testing its embedded banking product, which required a comprehensive understanding of the market, customer needs, and regulatory requirements. They needed a solution that could automate the pricing and testing process while ensuring accuracy and efficiency.
We developed a pricing and testing strategy for the embedded banking product to analyze market data, customer feedback, and regulatory requirements. The solution:
Our AI-Powered Customer Service Chatbot uses NLP for queries, ML for insights, automates BFSI workflows, and learns from interactions.
The bank faced challenges in providing personalized and efficient services to its customers, with frontline employees spending significant time on manual tasks and information gathering. This led to delays in customer response times and suboptimal service quality.
We developed a new AI-powered solution, called “”AI-Powered Customer Service Chatbot””, which uses Natural Language Processing (NLP) and Machine Learning (ML) to assist frontline employees in the BFSI industry. This solution consists of:
We developed a banking recommendation engine using Gen AI and machine learning to analyze customer data for personalized product suggestions across channels.
The company faced challenges in providing personalized banking product recommendations to its customers, leading to low conversion rates and high customer churn.
We developed a banking product recommendation engine using Gen AI-powered recommendation algorithms and machine learning models to analyze customer data and preferences. This solution consisted of:
We created a customer churn prevention solution with machine learning, data analytics, and digital experience, featuring segmentation, predictive modeling, personalized offers, and improved digital interactions.
We developed a comprehensive customer churn prevention solution using a combination of machine learning algorithms, data analytics, and digital customer experience. The solution consisted of:
The bank faced high customer churn rates, with 20% of customers leaving within the first year. The main reasons for churn were poor customer service, lack of personalized offers, and inadequate product offerings. The bank needed a solution to identify at-risk customers and prevent churn before it happened.
We developed a synthetic credit data solution using machine learning and Gen AI for data augmentation, bias mitigation, and model validation.
The bank faced challenges in creating a fair and inclusive credit scoring system, as traditional credit scoring models often relied on biased data and were prone to errors. The bank needed a solution that could generate synthetic credit data to mitigate these biases and improve the accuracy of credit decisions.
We developed a synthetic credit data solution that used machine learning and Gen AI algorithms to generate synthetic credit data that was similar to real-world credit data. It consisted of:
We developed a fraud prevention solution with advanced analytics, machine learning, and Gen AI to detect and prevent fraudulent activities in real-time.
The bank faced significant challenges in preventing fraud, including the increasing sophistication of fraudsters and the growing volume of transactions. The bank needed a comprehensive fraud prevention solution that could detect and prevent fraudulent activities in real-time.
We developed a comprehensive fraud prevention solution that integrated advanced analytics, machine learning, and Gen AI to detect and prevent fraudulent activities. The solution consisted of:
We automated document tasks with AI for data extraction, validation, classification, and management, enhancing accuracy, efficiency, and data security.
The NBFC faced challenges in generating financial reports and loan agreements manually, which was time-consuming and prone to errors. They needed a solution that could automate the process and improve accuracy.
We developed a hyper-personalization platform for an investment firm, integrating portfolio analysis, segmentation, personalized recommendations, content generation, & predictive analytics.
The firm’s existing email marketing campaigns relied on generic, one-size-fits-all messaging that failed to resonate with individual clients. Despite having detailed data on each client’s financial situation, risk tolerance, and investment goals, the marketing team struggled to effectively leverage this information to craft targeted and relevant communications. As a result, email open rates, click-through rates, and conversion rates were suboptimal, limiting the potential impact of their marketing efforts.
The Investment management firm partnered with us to deploy a hyper-personalization platform for their email marketing campaigns. The key components of the solution included:
Our AI-powered Financial Coach uses Generative AI for analysis, NLP for reporting, and offers personalized planning and education for clients.
The company faced challenges in providing personalized financial advice to its clients, with financial advisors spending significant time on manual analysis and reporting. This process was time-consuming and often led to suboptimal financial planning and investment decisions.
We developed an AI-powered Financial Coach solution using a hybrid approach that combines Generative AI and Natural Language Processing (NLP). This solution consists of:
A Danish shipping and logistics company founded in 2005, with activities in shipping, ports, supply chain, and warehousing. It operates in 35 countries with over 15,000 employees worldwide.
The company’s existing documentation compliance workflows were highly manual, time-consuming, and prone to errors. Employees were tasked with manually reviewing, verifying, and filing a vast array of documents, including shipping manifests, customs declarations, safety certifications, and supplier contracts. This resulted in significant delays, inconsistencies, and compliance issues, which often led to fines, shipment delays, and strained relationships with regulatory bodies and supply chain partners.
The supply chain management company implemented a comprehensive documentation compliance automation platform with the following key components:
A renowned global leader in innovative bicycle design and high-quality manufacturing, offering a diverse range of bikes for casual riders, adventurers, and professional athletes.
The company’s existing financial reporting workflow relied heavily on manual reviews and reconciliations, which were time-consuming, error-prone, and lacked scalability as the business grew. Discrepancies between the data reported by individual business units and the consolidated figures at the corporate level often went undetected until late in the reporting cycle, necessitating extensive investigations and rework. This resulted in delayed financial statements, reduced confidence in the reported numbers, and increased regulatory compliance risks.
The corporation partnered with us to implement an intelligent mismatch tracking system with the following key components:
A global logistics leader providing efficient, reliable supply chain solutions for multinationals, optimizing goods flow through e-commerce fulfillment and warehouse automation.
The logistics company’s existing onboarding process was fragmented, manual, and time-consuming for both customers and internal teams. New customers often faced lengthy delays, repetitive information requests, and a lack of transparency throughout the onboarding journey. This resulted in a poor first impression, increased operational costs, and higher rates of customer attrition in the early stages of the relationship.
We implemented a comprehensive customer onboarding platform with the following key components:
A leading contract logistics provider, combining value-added services and management expertise to deliver customized, integrated solutions that drive efficiency, enhance quality, and create a competitive advantage for clients.
The supply chain professionals at the company were often overwhelmed by the volume and complexity of data, reports, and operational tasks they had to manage on a daily basis. This led to inefficiencies, inconsistencies, and suboptimal decision-making, which in turn impacted the overall supply chain performance. The leadership team sought to find a solution that could augment the human capabilities of their employees and drive greater operational excellence.
The supply chain management company partnered with us to develop a comprehensive employee assistant platform with the following key features:
A global leader in food product sales, marketing, and distribution, with a network of specialty suppliers and 333 facilities worldwide. They serve approximately 7,000 customer locations across North America.
The company faced significant challenges in managing supply chain risks, including single supplier sourcing, capacity constraints, and supply quality issues. This led to disruptions and potential losses.
We developed a Supply Chain Risk Management (SCRM) solution using a hybrid approach that combines Generative AI and Natural Language Processing (NLP). This solution consists of:
A logistics company helps organizations plan, implement, and execute product, material, and service movement and storage throughout the supply chain from origin to consumption.
The company faced challenges in managing their BL process, including manual data entry, errors, and delays. They needed a solution that could automate the process, reduce errors, and improve efficiency.
We developed a code conversion solution analyzing source code, using ML to improve accuracy, and employing Gen AI for efficient code generation.
The company faced challenges in converting and generating code efficiently for their finance product, leading to delays and errors in their development process. They needed a solution that could automate code conversion and generation, ensuring accuracy and speed.
We developed a code conversion and generation solution that consisted of:
We have developed a knowledge management platform featuring a searchable repository, expert directory, collaborative tools, continuous learning, and curated content promotion.
The data organization had amassed a wealth of valuable data, analysis, and domain knowledge, but this information was siloed across various teams and systems. Employees often struggled to access the right information at the right time, leading to duplicated efforts, inconsistent analysis, and missed opportunities to drive business impact. The leadership team understood that improving knowledge management would be crucial to maintaining the firm’s competitive edge.
The data analytics firm implemented a comprehensive knowledge management platform with the following key components:
We implemented a Generative AI-powered personalization platform integrating CRM data, advanced AI models for product recommendations, contextual awareness, continuous learning, and omnichannel deployment.
The retailer’s existing recommendation system relied on rule-based algorithms and collaborative filtering, which often failed to capture the nuances of individual customer preferences and behaviors. This resulted in generic, one-size-fits-all recommendations that did not resonate with customers, leading to suboptimal conversion rates and missed opportunities for cross-selling and upselling.
We implemented a Generative AI-powered personalization platform with the following key components:
We implemented a Generative AI-powered personalization platform integrating CRM data, advanced AI models for product recommendations, contextual awareness, continuous learning, and omnichannel deployment.
The telecom company’s existing network management practices relied on static, manual configurations that struggled to keep pace with rapidly changing traffic patterns, user demands, and network conditions. This resulted in suboptimal resource utilization, service quality issues, and increased operational costs. The leadership recognized the need for a more agile, data-driven approach to network optimization.
We integrated an AI-powered test case generation platform with static code analysis, ML models, NLP, GANs for synthetic data, and continuous testing.
We automated the RFP process using Gen AI for content generation, NLP for understanding and customization, data analytics for insights, and scalability.
The company faced challenges in managing their RFP process, including manual content creation, tedious data entry, and time-consuming review processes. They needed a solution that could automate the RFP process and improve efficiency
We developed a comprehensive solution that leveraged Gen AI to automate the RFP process. The solution consisted of:
We developed a solution using NLP for voice-to-text conversion, automated order processing, error correction, and reporting for restaurant operations efficiency.
The restaurant chain faced challenges in processing verbal orders at their drive-through windows and over the phone, leading to errors and frustration for customers. They needed a solution that could accurately transcribe verbal orders into text for cooks and servers.
We developed an AI-powered Enhanced Medical Search solution using a hybrid approach that combines Gen AI and Natural Language Processing (NLP). This solution consists of:
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