When one of the nation’s largest and most respected credit unions recognized that inconsistent data governance was slowing decision-making and impacting cross-functional collaboration, they launched an ambitious enterprise-wide Data Quality Program.
When one of the nation’s largest and most respected credit unions recognized that inconsistent data governance was slowing decision-making and impacting cross-functional collaboration, they launched an ambitious enterprise-wide Data Quality Program.
Across aerospace, defense, and advanced manufacturing, organizations like Daifuku, BAE Systems, Boeing, and Parker Aerospace operate in environments where precision, compliance, and scalability are critical.
When a nationally recognized online university set out to modernize its cloud ecosystem, leadership knew it wasn’t enough to just migrate systems. Long-term success would require stronger governance, smarter operational processes, and true resiliency across its distributed architecture.
A rapidly scaling biotech company partnered with ConsultNet to overhaul its customer relationship management (CRM) system and improve the efficiency and accuracy of scientific communications. Manual content creation and customer support workflows were slowing operations and impacting scalability. To address this, ConsultNet delivered a tailored, AI-powered CRM solution using HubSpot’s advanced tools and custom-built scientific content models.
A Fortune 500 media company partnered with us to drive a large-scale AI transformation aimed at optimizing advertising revenue and streamlining programming rights operations. Facing complex challenges across multiple divisions, the client needed a secure, scalable solution aligned with industry standards. Through a strategic, phased approach—from ideation and business case development to system integration, training, and governance—we delivered an end-to-end AI implementation.
A leading B2B eCommerce company partnered with ConsultNet to overcome major challenges in product search and discovery, particularly for technical buyers with complex needs. Their legacy search platform struggled to deliver relevant results, lacked personalization, and couldn’t keep pace with increasingly detailed product specifications. To solve this, we engineered an AI-driven discovery solution that combined Microsoft Azure Cognitive Search, Elasticsearch Enterprise, and custom machine learning models. The result was a smarter, faster, and more intuitive search experience that significantly improved customer engagement and laid the groundwork for scalable growth.
A prominent software technology organization operating in the healthcare sector faced challenges with its legacy server-based technology, hindering their growth potential. The need for a transition to cutting-edge cloud technology was critical, however, sourcing tech talent with the expertise needed proved to be a daunting task. The organization recognized that without migrating to the cloud, their business expansion would be severely constrained.
This year’s budget season brings increased pressure to balance strategic financial decisions with the need for innovation and operational efficiency. Tight budgets, rising labor costs, growing demand for skilled professionals, and the pressure to deliver results all converge, making this a challenging time for IT and tech departments.
A prominent software technology organization operating in the healthcare sector faced challenges with its legacy server-based technology, hindering their growth potential. The need for a transition to cutting-edge cloud technology was critical, however, sourcing tech talent with the expertise needed proved to be a daunting task. The organization recognized that without migrating to the cloud, their business expansion would be severely constrained.
Neovest faced a significant hurdle in its hiring process, with direct placements taking over three months due to cumbersome internal processes, particularly approvals at their parent company. Stewart World, the newly appointed CTO at the time, encountered a lengthy interview process himself, prompting a reevaluation of the existing system.