One platform replaced the platform-hopping.

A leading global entertainment marketing agency, whose client roster spans Disney, the Olympics, and major theatrical campaigns, ran talent discovery, earned media tracking, and social listening through disconnected tools and spreadsheets. GenAI-Labs replaced that sprawl with a unified AI-powered media intelligence platform: three deeply integrated products on shared infrastructure, so each analyst now carries three times the campaign load without the tab-juggling.

Reporting started compiling itself.

Analysts were spending hours each day combing MuckRack for press hits, pulling broadcast clips from TVEyes, and building a different report format for every team and every client. Now custom GPT integrations surface summaries and top results automatically, and one-click exports come out formatted per team, so field marketing, multicultural, publicity, and leadership each get exactly what they need.

From weekly digests to real-time signal.

Social conversations and earned media coverage used to surface days late, compiled by hand. The platform now monitors campaigns continuously across social and earned media, with natural-language queries replacing keyword searches: users describe what they need and the platform handles translation and retrieval.

Every source, one query.

Media, social, broadcast, podcast, and influencer data all flow through the same custom GPT layer, with enterprise SSO, role-based access control, and team-level data permissions built for a large multi-team agency.

• Natural-language queries across every product, with no more per-platform search syntax
• Influencer vetting at scale with proactive talent discovery
• Enterprise-grade access controls across all three products

We mapped the whole system before building anything.

The San Diego Tourism Authority runs active programs across Sales, Membership, Marketing, and Research, but its reporting infrastructure hadn't kept pace: teams pulled exports from separate systems, rebuilt spreadsheets, and reconciled numbers by hand. GenAI-Labs began with a structured consulting engagement: 40+ interviews across four departments to understand how teams actually worked and where time disappeared, producing a prioritized opportunity map before a line of code.

Recurring reports stopped being rebuilt from scratch.

Recurring reports and leadership decks were recreated manually every cycle. The Research Command Center unified fragmented datasets into a self-serve analytics workspace with natural-language Q&A, charts, summaries, and consistent definitions, cutting the time teams spent cleaning and combining data by more than half.

Every member relationship became a live profile.

Member engagement, renewal risk, and pipeline visibility depended on scattered spreadsheets. The Membership Cards Dashboard turned 1,000+ member relationships into live profiles with engagement data, health scoring, renewal-risk alerts, and one-click exports.

Three intelligence systems on one secure backbone.

From the opportunity map, GenAI-Labs delivered a build-ready roadmap for three internal intelligence systems, all powered by a custom data backbone.

• Research Command Center: self-serve analytics with natural-language Q&A
• Membership Cards Dashboard: 1,000+ live member profiles
• Sales Command Center: unified leads, tasks, notes, and account history
• A custom Data Warehouse API across 419 endpoints and two production databases

Computer vision that reads echocardiograms at scale.

IcardioAI needed to enhance the accuracy and efficiency of echocardiogram analysis, where manual labeling, classifying, and grading was time-consuming and error-prone. GenAI-Labs built an AI-driven system that automates the full pipeline across more than five million ultrasound frames.

Expert-level precision, without the manual review.

Traditional manual methods introduced human error and diagnostic delays. The computer-vision models deliver 99%+ accuracy and integrate seamlessly into existing medical imaging systems, so clinicians can trust the output.

Minutes of work, down to seconds.

Time-intensive manual analysis was slowing diagnostics and increasing clinician workload. Automating the labeling and grading pipeline cut analysis time by 96%, freeing medical professionals to focus more on patient care.

Real-time insight built for clinical decisions.

Beyond speed, the system enhanced diagnostic precision by 80%, delivering real-time insights for better decision-making.

• Automated labeling, classification, and grading of echocardiograms
• Significant reduction in manual clinician workload
• Seamless integration with existing medical imaging systems
• Real-time insights for improved decision-making

One discovery engagement mapped the whole tournament.

Most PGA Tour tournaments are run by lean, independent host organizations producing a world-class event from the ground up every year: thousands of fans, hundreds of sponsors, and huge volunteer workforces. For one flagship event, the infrastructure had grown into disconnected tools and manual processes. GenAI-Labs spent two weeks interviewing every function and delivered a connected portfolio of scoped solutions across eight operational verticals.

Fragmented systems became a single automated rail.

Core processes across sales, accounting, operations, and communications had no automation between them, forcing staff to re-enter and reconcile data at every handoff. An end-to-end deal fulfillment pipeline was scoped to connect them on a single rail, from contract signing through ticket delivery.

Sponsors and volunteers, handled at scale.

A large volunteer workforce was matched and supported entirely by staff effort, and sponsors received limited post-event data. Two volunteer solutions (a 24/7 AI assistant and a best-fit matching engine) plus a sponsor attribution platform turned renewal conversations from relationship-based to data-driven.

A roadmap toward full tournament intelligence.

Rather than a big-bang rebuild, the eleven scoped solutions are each independently deployable and sequenced by impact and effort, so leadership can build toward full tournament intelligence at its own pace.

• End-to-end deal fulfillment pipeline across sales, accounting, and ops
• A live site logistics layer replacing vendor spreadsheets
• 24/7 volunteer AI assistant plus a best-fit matching engine
• A sponsor attribution platform surfacing closed-loop ROI

Support engineers got instant answers.

A leading enterprise software company needed to streamline how support engineers accessed real-time client data to diagnose downtime, slowness, and performance issues. GenAI-Labs built an AI-powered chatbot delivering real-time answers about client system performance, doubling the cases each engineer handles per day.

Natural language over massive datasets.

Engineers needed to query large, complex client data on demand. The chatbot processes and interprets complex natural-language queries across millions of records daily, with automated data retrieval replacing slow manual lookups.

Issues surfaced before they escalated.

By giving engineers instant insight into client system status, the system caught 12% more cases: problems that previously slipped through were flagged in time.

Faster troubleshooting, happier customers.

Seamless integration with big-data systems enabled live reporting through an interface usable by technical and non-technical users alike, cutting support response time by 40%.

• Instant insights into client system status and performance
• Automated data retrieval, reducing manual effort
• Seamless integration with big-data systems for live reporting
• Easy-to-use interface for technical and non-technical users

One recruiter, ten times the pipeline.

CareerMatch Solutions was hitting a ceiling: recruiters ran the entire candidate pipeline by hand, with pools routinely exceeding 600 applicants per role. GenAI-Labs built AgentVIP, an AI-powered automation platform layered onto their existing ATS, automating the repeatable steps so each recruiter now moves ten times the applicants.

Outreach and follow-up run themselves.

Recruiters manually wrote qualification emails and chased unresponsive candidates. AgentVIP scores applicants when a job activates, launches email outreach to the shortlist, and sends automated SMS reminders at 24 and 72 hours, cutting outreach time by 80%.

Weeks of pipeline, compressed to hours.

Qualification responses were reviewed and logged by hand, slowing every decision. AgentVIP evaluates responses in real time against recruiter-defined criteria and logs qualification decisions automatically, moving candidates from job posting to scheduled interview in real time.

Shipped iteratively, without a migration.

AgentVIP layers directly onto the existing ATS without requiring migration, shipped across three phases from MVP to full platform in under twelve months.

• On job activation: pulls the role, scores applicants, launches outreach
• Automated SMS reminders at 24 and 72 hours
• Real-time response evaluation against recruiter criteria
• Recruiter summaries and client placement packages inside the ATS

Amazon shoppers got instant, on-brand answers.

Ray-Ban wanted to elevate their Amazon presence amid rising e-commerce competition. GenAI-Labs deployed generative-AI models that automate customer interactions and handle inquiries in real time, enhancing the shopping experience and doubling customer satisfaction.

Smarter bidding, lower ad spend.

High PPC costs weren't translating into maximized ad performance. AI models analyze ad performance and optimize targeting and bidding, cutting PPC costs by more than 30%.

Better engagement, more conversions.

Streamlined customer engagement and a continuously optimized ad strategy drove a 7% lift in sales across the Amazon operation.

Automation that runs continuously.

The solution integrates seamlessly with Ray-Ban's existing Amazon operations, with an automated workflow that keeps improving engagement and ad performance, reducing time spent by 80%.

• AI-powered customer interaction with real-time responses
• Generative-AI PPC targeting and bid optimization
• Seamless integration with existing Amazon operations
• A continuous-improvement workflow for engagement and ads