Persistent.AI
Client Stories
We collaborate every day with leading brands and global enterprises for AI success
We collaborate every day with leading brands and global enterprises for AI success
A global hyperscale cloud and AI powerhouse leads the market with its flagship cloud platform and deep OpenAI partnership. Billions flow annually into research; the Fortune 500 fill its customer roster. Yet in the field, thousands of sellers and solution architects faced the same frustration: no matter how dazzling the R&D slide deck, enterprise buyers still asked, “Can you show it on our data—right now?”
Every lab visit is a chance to win—or lose—wallet share. When a researcher flashes a competitor’s reagent, the clock starts ticking. If a sales rep can’t surface the perfect in‑house equivalent before the conversation ends, the sale walks next door. Multiply that tension across thousands of daily interactions and speed becomes more than a virtue—it is the engine of revenue growth.
Across 130+ markets and multiple marques, buyers were bouncing between PDFs, slow pages, and busy reps just to compare trims or confirm a feature. Every time a browser tab changed or an email thread stalled, context evaporated and decision-making slowed. Sales teams repeated the same answers. Marketing couldn’t see where interest dropped off. Costs kept stacking up. The brief crystallized into one line: “Make exploration conversational, accurate, and instant—inside the app customers already use.”
A global leader in digital payments and business services set an ambitious Generative AI agenda. Payroll chatbots summarised payslips, HR teams used document-intelligence models, and risk agents flagged compliance gaps—each lived in a separate stack, creating duplicate data paths. What looked like momentum soon felt like drag. Executives spelled it out: ungoverned innovation breeds tech debt and stalls value. They partnered with Persistent to orchestrate a single runway that could scale what worked and retire what didn’t.
A global biopharmaceutical services leader, operating across 54 countries and supporting 95% of the top 200 best-selling drugs, set out to transform its enterprise data ecosystem. With a mission to accelerate drug approvals and enhance clinical research outcomes, the organization faced a complex data landscape—more than 125 fragmented sources including Oracle and FTP systems, each contributing to inconsistent reporting and siloed insights.
A global leader in health information technology and clinical research services faced a growing challenge: its business teams needed frequent, customized reports from clinical trial databases, but the IT department couldn’t keep up with the pace. Static, pre-defined reports were no longer sufficient to meet the dynamic and evolving needs of clinical operations. This created bottlenecks, delayed decision-making, and strained resources.
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