We’ve Delivered AI & Data Solutions Across Many Industries

Travel & Leisure

Opportunity: A major global hotel brand with thousands of properties needed to overhaul its revenue management strategy, moving from legacy rule-based pricing toward intelligent, data-driven decision systems.

Our Solution: We designed an AI-augmented pricing architecture capable of generating billions of rate recommendations annually. Our team built the data integration layer, connected market intelligence feeds, and created a unified platform that allowed the client to move from manual, spreadsheet-driven pricing to an intelligent system that processes real-time market signals at scale.

Business Impact: The client adopted a best-in-class revenue management platform informed by our architecture. The resulting system now processes market, competitive, and demand data at a scale that was previously impossible, driving measurable RevPAR improvement across the portfolio.

Revenue Management Services

Opportunity: A hotel company with a rapidly growing portfolio identified revenue management as its primary lever for growth. Legacy pricing practices varied widely across properties, and leadership needed a centralized, data-driven approach to pricing and yield optimization that could scale with aggressive expansion plans.

Our Solution: We designed and implemented a comprehensive revenue management platform that centralized pricing strategy across the entire portfolio. The system integrated PMS data, market intelligence feeds, and competitive rate data into a unified analytics layer. We built demand forecasting models, automated rate recommendation engines, and real-time performance dashboards. Our team also stood up the operational model, hiring and training a dedicated RM function from the ground up.

Business Impact: Portfolio grew over 400% within a year. Properties managed under the new framework outperformed comparable hotels by more than 2 points in RevPAR Index. The analytics-driven pricing engine became a core competitive advantage, enabling faster market response and more precise yield management across every property in the portfolio.

Gaming & Entertainment

Opportunity: A major gaming and hospitality enterprise with a diverse portfolio spanning casinos, hotels, restaurants, and live entertainment needed to transform how it understood and engaged its guests. The company was sitting on massive volumes of transactional and behavioral data but lacked the analytical infrastructure to extract value at scale.

Our Solution: We built a custom analytics data warehouse integrating multiple source systems, then layered on ML-driven customer segmentation models and demand forecasting engines. The architecture supported both real-time operational dashboards and predictive models that identified high-value guest behaviors before they happened. We also deployed natural language processing on guest feedback data to surface sentiment trends across properties.

Business Impact: Demand forecasts reshaped how the client communicated with partners and planned promotions. Customer segmentation models drove targeted marketing campaigns that significantly increased conversion rates and guest lifetime value across the portfolio. The guest intelligence platform became the foundation for a broader AI strategy spanning yield optimization, loyalty personalization, and operational efficiency.

Transportation & Workforce AI

Opportunity: A technology company serving the trucking industry needed to build intelligent automation into its driver recruitment and retention platform. Recruiting teams were overwhelmed by volume, candidates expected faster response times, and the patchwork of industry-specific tools created constant friction in data flow and scheduling workflows.

Our Solution: We designed and built the core technical infrastructure powering the platform’s AI capabilities. This included a conversational AI voice agent system that handles both inbound and outbound candidate interactions with configurable behavior per client, intelligent call routing, and seamless handoff between AI and live agents. We built real-time calendar integrations across cloud and on-premise environments for frictionless interview scheduling. We architected bidirectional data pipelines with the industry’s largest applicant tracking systems, keeping candidate records synchronized in near real time. We also built job board integrations, an AI-powered recruitment budget optimization engine that benchmarks performance across vendors, and security frameworks to protect voice agents against prompt injection and adversarial attacks.

Business Impact: The platform now automates thousands of candidate interactions that previously required manual recruiter effort. Response times dropped from hours to seconds. The AI budget optimizer gives carriers data-driven allocation recommendations across job boards, improving cost per hire. The architecture scales across dozens of carrier clients, each with their own agent configurations, data flows, and integration requirements.

Insurance, Banking & Financial Services

Opportunity: A large insurance and financial services organization needed to modernize its data infrastructure and build analytical capabilities that could keep pace with a highly regulated, rapidly evolving market. Customer data was fragmented across legacy systems, underwriting relied heavily on manual review, and the organization lacked the predictive modeling capability to proactively manage risk or identify growth opportunities.

Our Solution: We built the foundational data warehouse and analytics framework from the ground up, establishing clean data pipelines, business KPIs, and reporting infrastructure. Once the platform was stable, we layered on forecasting models and machine learning for customer segmentation, risk scoring, and next-best-action recommendations. The system incorporated NLP-based claims analysis to identify fraud patterns and accelerate processing, along with automated compliance reporting that reduced regulatory risk.

Business Impact: The analytics framework became the backbone of the organization’s strategy function. Business KPIs drove measurable accountability, forecasting models informed resource allocation, and ML-driven segmentation enabled precision marketing that directly accelerated portfolio growth. Claims processing time decreased and fraud detection rates improved, while automated compliance workflows freed senior staff to focus on higher-value strategic work.

Enterprise AI & Agentic Systems

Opportunity: A Fortune 500 organization needed to move beyond isolated AI experiments and build production-grade intelligent systems. The goal was enterprise-wide: agentic copilots that could automate complex workflows, LLM-powered tools that integrated with existing business applications, and a platform architecture that supported rapid iteration without sacrificing governance.

Our Solution: We designed and built a multi-agent AI platform from the ground up, spanning over 600,000 lines of production code. The system included agentic copilots for internal operations, LLM orchestration layers for natural language interfaces, retrieval-augmented generation pipelines for domain-specific knowledge, and automated evaluation frameworks that kept model outputs accurate and auditable at enterprise scale.

Business Impact: The platform scaled assessment capacity by 3x while reducing manual effort. Agentic systems now handle workflows that previously required dedicated teams, and the LLM infrastructure processes thousands of queries daily with measurable accuracy improvements over each iteration.

Data Platform & Cloud Architecture

Opportunity: A major enterprise needed to consolidate decades of fragmented data infrastructure into a modern, governed platform. Siloed warehouses, inconsistent pipelines, and manual ETL processes were preventing the organization from leveraging its data assets for AI and advanced analytics.

Our Solution: We architected and implemented a full data lakehouse on Microsoft Fabric, unifying structured and unstructured data across the organization. The platform included automated ingestion pipelines, a semantic layer for self-service analytics, role-based governance, and integration points for ML model training and deployment. We also migrated legacy warehouses and built real-time streaming capabilities for operational use cases.

Business Impact: The unified platform reduced data preparation time by over 60% and enabled teams across the organization to run analytics and AI workloads against a single source of truth. Data governance went from manual and inconsistent to automated and auditable, and the architecture now supports the full lifecycle from raw data to production AI models.

Restaurant data analytics and AI visualization

Restaurant & Multi-Brand Intelligence

Opportunity: A major multi-brand restaurant company with thousands of locations needed to get data out of dashboards and into the hands of the people who actually run the business. Franchisees, field consultants, general managers, and executives all needed different views of the same information, and most of them didn’t have the time or training to navigate traditional BI tools.

Our Solution: We built conversational AI interfaces that let anyone in the organization ask questions about their business in plain English and get accurate, contextual answers in seconds. The system translates natural language into precise queries against semantic models spanning sales, guest experience, operations, labor, and finance. Beyond conversational BI, we designed unified guest feedback platforms that consolidate survey data, delivery marketplace reviews, social media mentions, and online reviews into a single analytical layer with AI-powered classification and real-time anomaly detection. We also architected financial anomaly detection systems that monitor P&L data at the invoice level, automatically flagging unusual patterns and creating prioritized investigation cases. The work extended into competitive intelligence monitoring, pricing and revenue optimization analytics, and multi-agent AI architectures where specialized agents coordinate to deliver automated briefings, proactive alerts, and scheduled reporting without waiting to be asked.

Business Impact: Operational leaders who previously waited days for analyst-built reports now get answers in seconds. Guest experience insights that were buried across disconnected platforms are surfaced and routed to the teams that can act on them. Financial anomalies that went undetected for weeks are caught and investigated in near real time. The AI systems serve as an always-on analytical layer that scales across brands, regions, and organizational levels without adding headcount.

Luxury Hospitality & Resort Intelligence

Opportunity: An iconic luxury resort property needed to move beyond siloed systems and fragmented guest data to deliver the kind of personalized, anticipatory service that ultra-luxury guests expect. Operational data was scattered across more than a dozen systems with no unified view of the guest, and the organization lacked the analytical infrastructure to turn that data into actionable intelligence.

Our Solution: We designed and implemented a comprehensive modern data ecosystem from the ground up, building a full-scale data lakehouse that integrates property management, point-of-sale, membership, reservations, and facility analytics across the entire property. The architecture follows a medallion design pattern with automated ingestion pipelines, transformation layers, and a robust governance framework covering PII protection, role-based access control, and regulatory compliance. On top of that foundation, we implemented a composable Customer Data Platform to unify guest and member profiles across every touchpoint, enabling identity resolution, behavioral segmentation, and third-party enrichment that produced a true 360-degree view of each guest. We built a custom operational intelligence platform that delivers real-time insights to frontline teams through direct API integrations, a web portal, and multi-channel messaging. The engagement also spans predictive modeling for membership retention and revenue optimization, attribution modeling tailored for luxury hospitality’s extended consideration cycles, and a full change management program to drive adoption across the organization.

Business Impact: The resort now operates on a unified data foundation that connects every guest interaction from arrival to departure and beyond. VIP intelligence capabilities identified nearly a thousand high-value profiles for precision marketing. Frontline teams receive real-time operational intelligence instead of waiting for end-of-day reports. The platform transformed how the property understands and serves its guests, turning what was a collection of disconnected systems into a living data ecosystem that drives both service quality and revenue performance.

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Healthcare & Life Sciences

Opportunity: A major health system processing millions of patient encounters annually needed to modernize how clinical and operational data informed decision-making. Existing analytics were siloed across departments, clinician workflows were largely manual, and the organization lacked the infrastructure to deploy predictive models in care delivery settings.

Our Solution: We designed a unified health data platform integrating EHR, claims, and operational data into a governed analytics environment. On top of that foundation, we built predictive models for patient risk stratification, readmission prevention, and resource allocation. NLP pipelines extracted structured insights from unstructured clinical notes, enabling clinical teams to act on information that was previously buried in free text.

Business Impact: Clinical teams gained real-time visibility into patient risk, enabling proactive interventions that measurably reduced avoidable readmissions. Operational leaders used demand forecasting models to optimize staffing and resource deployment. The analytics infrastructure became a shared organizational asset, supporting use cases from population health management to payer contract negotiations.

Retail & Consumer Intelligence

Opportunity: A large retail brand with hundreds of locations and a growing e-commerce presence needed to unify its fragmented customer data and build intelligent systems that could personalize experiences at scale. Legacy marketing tools relied on broad segmentation and manual campaign management, leaving significant revenue on the table.

Our Solution: We built an integrated customer intelligence platform connecting point-of-sale, e-commerce, loyalty, and marketing data into a single customer view. On top of that, we deployed ML-driven recommendation engines, dynamic pricing models, and automated campaign orchestration that adapted in real time to individual customer behavior. The architecture was designed for scale, processing millions of customer interactions daily.

Business Impact: Personalized recommendations drove measurable increases in average order value and repeat purchase rates. The marketing team shifted from batch campaigns to always-on, event-triggered engagement, significantly improving conversion while reducing manual effort. Customer lifetime value metrics improved across both digital and physical channels.

Manufacturing & Industrial Intelligence

Opportunity: A large-scale manufacturer operating dozens of production facilities needed to modernize its operational intelligence. Equipment downtime was costly and unpredictable, quality defects were caught too late in the production cycle, and supply chain decisions relied on lagging indicators rather than real-time data. The organization needed to move from reactive maintenance and manual reporting to a predictive, data-driven operations model.

Our Solution: We built an industrial IoT analytics platform that ingested sensor data from production lines across multiple facilities, combining it with ERP, quality management, and supply chain data into a unified operational data layer. The platform included predictive maintenance models that identified equipment failure patterns before breakdowns occurred, real-time quality monitoring with automated anomaly detection, and demand-driven production scheduling powered by machine learning. We also deployed edge computing nodes for low-latency decision-making on the factory floor.

Business Impact: Unplanned downtime dropped significantly within the first year of deployment. Quality defect rates fell as the system caught deviations earlier in the process, reducing waste and rework costs. The predictive supply chain models improved inventory turns and helped the procurement team negotiate more favorable terms. The platform became the operational backbone connecting plant-level intelligence to executive decision-making across the enterprise.