Codvo.ai helped a large enterprise proactively manage datacentre operations with NeIO Pulse—an AI-powered alert system that improved uptime, accelerated root cause analysis, and streamlined incident resolution through GenAI insights.

Codvo.ai’s NeIO automated a mortgage firm’s mail handling, reducing manual processing time by 70%, improving document accuracy by 85%, cutting costs by 50%, and enhancing compliance and scalability across operations.

Codvo empowered an insurance firm with Gen-AI virtual assistants, boosting advisor productivity, simplifying policy explanations, automating client communication, reducing missed payments, and delivering a scalable, modern digital experience.

Codvo.ai empowered a leading law firm with NeIO Gen-AI, automating document management, delivering real-time insights, enhancing client service, and boosting productivity through intelligent legal process automation and analytics integration.

Codvo.ai enhanced a leading data center provider's operations by integrating intelligent monitoring, centralizing management, improving alarm handling, reducing turnaround time by 50%, and boosting communication and efficiency across 49 U.S. locations.

Codvo.ai enhanced a service provider’s efficiency with AI-driven matchmaking, Gen-AI booking assistants, and contextual alerts—boosting customer satisfaction, contractor utilization, operational efficiency, and streamlined decision-making across service interactions.

Codvo.ai helped a beauty brand streamline merchandising operations, optimize field staff training, and enhance customer experiences using AI-powered matchmaking, recommendation engines, Gen-AI assistants, and real-time insights for improved efficiency.

Codvo.ai streamlined HR operations by integrating AI-driven solutions, unifying HRIS, travel, and policy systems. The result: 50% faster policy generation, real-time communication, enhanced efficiency, and 10/10 customer satisfaction.

The client faced several critical challenges in their terminal operations due to their reliance on the Decisions rule engine platform. Initially effective for small-scale solutions, the system became increasingly complex, inflexible, and monolithic as operational volume grew. This hindered scalability and led to frequent maintenance and unacceptable downtime.

The objective was to build predictive capability for the client to forecast impending failures and anomaly detection in production at least four days in advance using machine learning models.

This project's scope was to utilize Snowflake and deliver business value using a targeted but extensive customer & product data set. Data Engineering played a role in writing the ETL and building the integrations around the technology to feed data and make it available to consumers. The plan was to build the Enterprise Data Warehouse System using snowflake, including ODS as Data Lake, Fivetran as ETL plus DBT, and Data Orchestrations using snowflake inbuilt. The primary objective was to complete data migration of critical customer and product data.‍

We partnered with a leading industrial service provider to build a solution for the client on C3.ai, a comprehensive Enterprise AI application development platform. Our Enterprise AI solution could develop cutting-edge ML Models to predict and perform structured maintenance of energy subsystems. 

Codvo.ai, a proficient software development team, partnered with the client to address their growing need for efficient and scalable test automation solutions. The primary objective was to introduce reusable test automation frameworks that would benefit manual testers, foster collaboration between manual and automation testers, and streamline the testing process across different technology stacks.

The fragmented and disparate systems of the client were getting in the way of them being able to serve their customers. The information in multiple systems varied, leading to data inconsistencies and increased cloud infrastructure costs.

One of our clients needed help with cyber security readiness and the CIS Top 20 Security Controls implementation. The CIS Top 20 implementation at scale was new for the client, and the company wanted to build stealth against cyber-attacks, achieve compliance and maintain security levels.‍

The client came to us with the intent of offering a seamless experience across devices for consumers. Most of the consumers were using the mobile app by the client to avail of services, which did not support Virtual Credit Card (VCC) for instant in-cart credit extensibility. We upgraded the mobile app to support VCC, along with retailer integration. We also built an AI-based model to predict whether the product is leasable or not, seamlessly on the Desktop application as well as the mobile app.

The client had Azure Kubernetes clusters created in public networks, posing a significant security concern. The challenge was to move allthe clusters to private networks without any downtime of their services. Additionally, they were finding it challenging to maintain and version control their Kubernetes clusters and Azure resources as they were created manually.‍

Our DevSecOps security service enables your teams to exert influence and make your apps secure within the current CI/CD pipelines. We help you achieve your goals without slowing down your development teams or jeopardizing security.

Our client has a consumer-centric business strategy and strives to extend credit to all consumer classes. With an efficient lease application and approval process, the client provides transparent and tailored payment terms and award-winning customer service to its consumers. Instant credit extensibility while purchasing products online or in-stores makes the company a preferred platform.

The client wants to empower consumers with its credit facility by having it available on as many retailers and merchant sites, integrate complex data into its system to make informed business decisions and provide a great customer experience.

The company viewed security implementation as a cultural change and was keen on blending it with operations to scale naturally with the business. The client focuses on increasing enterprise market credibility and the trust of their customers in their business, accelerating existing security initiatives, and strengthening the security ecosystem to reduce the likelihood of future data security breaches. ‍

The client approached Codvo.ai to develop an accurate and reliable question-and-answer tool for legal contract review. They wanted a tool that could accurately answer complex questions about legal clauses with a high level of precision and recall. The tool was expected to significantly reduce the time and effort required for contract review.‍

Codvo.ai team worked on an end-to-end deployment of the C3.AI platform industrial asset management and maintenance solution. The team provided a solution for predictive maintenance in downstream plants for the client. They used the C3.AI framework and leveraged it to create continuous integration and deployment of AI pipelines. The team also designed an efficient and scalable architecture to accommodate an ever-increasing number of systems.‍

The client has an AI-powered platform that provides predictive maintenance solutions for industrial assets. These assets are sections within an Oil & Gas Plant managing Input, Flow& Processing. The data coming from these assets had to be integrated into the client's ETL software suite. However, the process of adding data assets to the ETL suite was time consuming and not scalable.‍

Automation testing played a critical role in ensuring the robustness and effectiveness of the client's payment platform. However, the absence of a centralized automation dashboard presented significant challenges. Without a unified view of automation progress and historical data for reporting and comparison, the client's testing process was hindered by time-consuming manual efforts and an increased risk of errors.

Our team worked on the design & implementation of an API based advance analytics Industry 4.0 platform to manage assets, improve reliability & efficiency. Digitizing equipment, workplace & workforce. The platform was developed to be used primarily in the Oil & Gas sector during reservoir management, well construction etc.‍

The client had been managing their infrastructure manually, which resulted in operational inefficiencies, high maintenance costs, slow delivery of applications, and other challenges. The client approached Codvo.ai to help automate their infrastructure creation and maintenance, create CICD pipelines for faster application delivery, continuously monitor their infrastructure for performance and availability, and reduce their AWS billing costs.‍

The company's core business operations involve processing payments via APIs and rendering the userinterface for consumers and retailers. Implementing a performance testingstrategy for the application in-house was challenging, and the company worked with us for domain and technology expertise within the FinTech industry.

The client's main goal was to improve their decision-making capabilities by enabling end-users to accurately identify leasable products during checkout on Amazon. This would help the client to provide better OTB credit services to their customers and ensure a seamless and hassle-free shopping experience.

The client approached the Codvo team to help maintain, expand, and refine their predictive anomaly detection machine learning models across several hubs. They wanted to reduce the time and effort required for model building and deployment while maintaining high-quality development and accuracy. The client also wanted to expand their anomaly detection capabilities to new hubs and regions, such as the North Sea.‍

The client approached codvo.ai with a challenge to create a custom payment integration for their online store. While BigCommerce offers a wide range of payment options, the client required a custom solution that would integrate with their existing systems and meet their specific requirements. As BigCommerce doesn't allow the creation of an app with a payment option, thecodvo.ai team had to figure out an alternative way to implement the payment solutions and manage orders on both ends.‍

The client approached codvo.ai to enhance their automation testing framework for Cypress. The client's initial framework was designed in the default Mocha-chai framework, and they were facing several challenges due to the design of the code. The code was difficult to understand, not reusable, and upgrading and extending the framework was a challenge. The client wanted to reduce maintenance and operational efforts, improve review processes, and make the automation framework more accessible to all stakeholders.‍

Codvo.ai was engaged by the client to develop an end-to-end city-wide water management system that would leverage Industrial 4.0 technologies to enhance operational efficiency, reduce costs, and improve the overall management of water resources. The platform needed to integrate multiple data sources, provide real-time insights, and enable informed decision-making across the entire water management value chain.

The client faced significant challenges in managing their data center infrastructure spread across multiple locations worldwide. The client's primary business challenge was to maintain uptime, mitigate costs, and manage complexity. The client's existing data center infrastructure management system was inefficient and lacked proper visibility and control, leading to an increase in downtime, higher operating costs, and increased complexity.

The client was using AWS CDK Version 1 for their infrastructure as code (IAC) deployment, but with the version soon to be deprecated, the client needed to migrate to Version 2 to ensure continued support and functionality. Additionally, the client was looking for a way to write IAC faster in their preferred language.‍‍

Codvo.ai was tasked with developing an end-to-end platform for the client that would enable them to automate the legal document review process. Our team migrated the existing MVP and stabilized the product on AWS. We also developed an LLM (Large Language Model) that accurately extracted entities from the document into an editor. Furthermore, we developed APIs that would fetch agreement status closure/execution, expiry, category, and version control for comparison.‍

The client approached Codvo.ai to develop a custom integration plugin for their nopCommerce OMS system. The goal was to collect all order-related information from nopCommerce and communicate it to their custom OMS system, which would update the state and information of the order in real-time.‍

The platform implemented by codvo.ai is an industrial 4.0 implementation that provides a 360-degree view of all systems for municipalities, city managers, and operational department leaders. The platform features a 10-point plan to achieve operational excellence, a map livability index with smart city drivers and digital government solutions, ease of collaboration and informed decision making, and citizen benefits at the core.‍

The client approached Codvo.ai with a challenge of handling a large volume of real-time data while ensuring data quality and no loss during the customized transformation and loading to their target system. They were facing bottlenecks due to access limitations, which made it challenging to identify errors in data transformation and loading.

In a dynamic and highly competitive landscape, the marketing and commerce sector demands efficient processes and data management systems. A comprehensive tech stack, including Salesforce integrated with the Five9 Call Center and DOMO, is employed to manage, and drive customer acquisition, sales, and engagement through emails, voice, and digital strategies. This enables the execution of omni-channel campaigns and proficient management of professional data sets. A Salesforce Admin is designated to handle various responsibilities such as system maintenance, data management, security standards, user license management, training, and system upgrades, ensuring that the organization's requirements are met meticulously.‍

Our client, a renowned online retailer with a presence across multiple regions, was no exception. They consistently undertook expansive marketing campaigns, touching various digital touchpoints from website visits to email engagements. This initiative led to a large influx of diverse data. But with this growth emerged challenges; while the data was plentiful, deriving meaningful insights became an intricate puzzle. The marketing team found themselves awash in an ocean of metrics, spanning website traffic, social media metrics, email campaigns, and customer purchases. Accessing the data was straightforward but distilling it into actionable intelligence remained an elusive goal.‍

The client engaged Codvo.ai to conduct an all-encompassing overhaul of their existing website, coupled with the implementation of a refined marketing strategy and LinkedIn sales consultation. The intervention was aimed at leveraging modern digital strategies to boost online visibility and foster overall growth. The comprehensive revamp required integration of multiple elements, provision of real-time user engagement insights, and enabling data-driven decision-making across the entire value chain of the client's digital presence

The client faced a challenge in streamlining their deployment process with Spinnaker, which was a multi-cloud continuous delivery platform that required significant infrastructure resources. The system was challenging to maintain and set up multiple clusters in Azure, leading to increased infrastructure management costs. Codvo.ai was approached to provide a solution to reduce complexity and cost in the deployment process.‍

Codvo.ai partnered with our client to overhaul their data analysis process. Initially, the company's analytics were tethered to manual, excel-based methods, which were cumbersome and time-intensive. Recognizing the inefficiencies, the partnership aimed to transition these outdated practices to a modern, streamlined Power BI system. This project was not merely an update; it was a complete transformation, setting the foundation for superior data visualization and actionable insights.‍

The Wealth Advisory Firm faced a challenge in streamlining its deployment process with Spinnaker, a multi-cloud continuous delivery platform. The complexity of maintaining and setting up multiple clusters in Azure led to increased infrastructure management costs. Codvo.ai was engaged to address these pain points effectively via the development of the Advanced Platform for Insurance Planning and Coordination. The insurance solution aimed to reduce complexity and costs in the deployment process, offering a seamless and efficient platform for insurance agents, lenders, and clients to collaborate, resulting in enhanced business impact for the firm.

Codvo.ai team suggested using Azure integration services, specifically Azure API Management and Service Bus, to solve the client's challenges. With the help of Azure API Management and Service Bus, the team was able to bring all the APIs to one place and ensure security and compliance. They were also able to manage multiple test environments for the APIs.‍

The project involved a complete revamp of the existing data management system, which was not meeting the expanding needs of their clients. The goal was to streamline the process of creating visualization cards and dashboards on DOMO, a top-tier business intelligence tool. This involved managing and building datasets more efficiently and optimizing data workflows to enable quicker, data-driven decisions, ultimately enhancing operational efficiency and overall business performance.‍

Codvo.ai team was engaged to create an SDK that abstracted low-level API details and provided a simplified interface, ensuring secure communication between Python applications and the client's APIs. In addition, the plan was to expand this SDK to support PHP, NodeJS, .NET-based applications, making the platform more versatile and widely used.

The client wanted to develop a Rule Engine Workspace on top of their existing solution that could be used by non-technical users to create rules using drag-and-drop operations for inputs, outputs, and functions. They wanted the Rule Engine Workspace to act as a canvas for creating rules as a graphical flowchart. Dynamic Rule Validation and Rule Testing capabilities were also required.

The client faced significant challenges in its customer service operations due to a fragmented and segmented approach involving multiple external partners. This approach resulted in inconsistent customer experiences, diminished service efficiency and quality, lack of direct agent connectivity, and inadequate advanced IVR authentication.

Codvo.ai collaborated with a global energy titan to revolutionize its ammonia production plant through a Real-Time Process Optimization Solution. Faced with the challenge of enhancing efficiency and maximizing output, Codvo.ai crafted a solution leveraging advanced machine learning regression models and optimization frameworks. This innovative approach focused on identifying optimal setpoints for control valves, ensuring peak production levels. Utilizing a robust tech stack including Python, Gurobi, and Scikit-learn, the project aimed to significantly reduce infrastructure costs and minimize downtime, setting a new benchmark in operational excellence within the ammonia production in the Energy sector.

In a strategic collaboration aimed at overcoming key challenges in marketing and customer engagement, Codvo.ai partnered with a leading B2B fintech company to harness the power of Salesforce and AWS solutions. Faced with data silos, inefficient call management, and the need for scalability and modernization, the project focused on integrating Amazon Connect along with other AWS services to streamline operations. This transformative approach not only enhanced data management and customer interaction but also positioned the client for future growth, leveraging technology to achieve greater efficiency, engagement, and satisfaction in their marketing campaigns and customer service efforts.

Codvo.ai embarked on a project with a healthcare innovator aiming to elevate operating room (OR) efficiency through cutting-edge artificial intelligence (AI). The project's cornerstone was the deployment of an AI solution to streamline OR workflows, reduce turnover times, and enhance procedural flow without compromising patient care or safety. Utilizing Edge Box technology and NVIDIA's RTX 4090 GPUs, the solution provided real-time video stream processing and insights into OR activities. This enabled the client to make informed decisions on surgical operations, ensuring a seamless integration between technology and healthcare services for optimized OR efficiency and patient outcomes.

In today's digital landscape, businesses grapple with synthesizing data from myriad sources into cohesive insights. Recognizing this, our client, a leading B2B commerce entity, sought a solution to amalgamate diverse data streams, aiming for a comprehensive understanding of their clientele. This case study explores the journey of the codvo.ai team in actualizing a B2B Commerce Unified Database, designed to offer a holistic customer view, drive engagement strategies, and ensure operational efficiency. Through this endeavor, the client aspired not only to refine operational workflows but also to elevate the overall customer experience.‍

In the multifaceted landscape of the mortgage industry, mastering its intricacies calls for a blend of specialized knowledge and pioneering solutions. Driven by the mission to remodel the industry's age-old practices, we embarked on a transformative journey to overhaul the mortgage process from inception to conclusion. Acknowledging the constraints of outdated systems, the limitations of document-heavy tasks, and the rising appetite for be spoke user experiences, our collective vision crystalized: employ state-of-the-art technologies and ground-breaking methodologies to sculpt an unmatched mortgage journey. By integrating advanced frameworks and modern digital strategies, we aimed to craft a fluent, proficient, and customized platform, laying down the blueprint for the next-gen mortgage paradigm.‍

The project's core objective was to create a Pro Marketing and Commerce Analytics Platform, a comprehensive solution designed to address the intricate challenges of modern marketing. This platform was envisioned to elegantly integrate varied data sources, both internal and external, providing a unified, efficient database system. It aimed to offer a 360-degree view of each customer, implement a refined scoring system for professional evaluation, and develop capabilities for sophisticated engagement propensity and potential analysis. The initiative underscored the client's dedication to harnessing the power of data in crafting personalized marketing strategies and enhancing customer experiences.

Codvo.ai embarked on an ambitious project to develop a Unified Data Visualization Tool for a client dealing with extensive, diverse data sets. The goal was to create a platform that not only streamlined the integration of various data types, ranging from demographic information to sales trends, but also presented it in an intuitive, user-friendly interface. This tool was envisioned to empower users to effortlessly explore, analyze, and derive actionable insights from complex data. Codvo.ai's commitment to this project involved leveraging advanced technology and innovative design to deliver a solution that was both powerful in its analytical capabilities and accessible to its users.

The project embarked upon by Codvo.ai with this medical innovator revolved around enhancing the sensitivity of the client's DNA-based data analysis. This enhancement focused particularly on the VIM and CCNA1 genes, known for their critical role in signaling cancer development based on methylation levels. A high percentage of methylation in these genes indicates a higher likelihood of cancer.

The client operates a state-of-the-art digital wealth management platform tailored for global Wealth Advisors. The platform encapsulates a myriad of financial planning services ranging from investment management to retirement planning. Recognizing the importance of evolution in the digital landscape, regular platform updates are integral, aiming to enhance operational efficiency, deliver unparalleled client experiences, and foster robust business growth. Such updates not only refine existing features but also incorporate new functionalities, ensuring that the platform remains at the forefront of innovation and comprehensiveness in the wealth management sector.‍