Snowflake Premier Partner

Transform Siloed Healthcare Data Into Real‑Time Intelligence 

Healthcare data lives everywhere — EHR systems, care management tools, health plans, clinical networks, and legacy warehouses. That fragmentation makes it hard to get a complete view of patients, accelerate claims and quality analytics, or move innovation forward when data is locked in silos.

We help you modernize your healthcare data ecosystem by unifying clinical, claims, operational, and unstructured data on Snowflake’s secure, governed, AI‑ready platform. With a single place to access, share, and activate data, your teams can drive meaningful improvements in care delivery, member experience, and operational efficiency.

What We Deliver

• Unified clinical & claims data platforms built on Snowflake’s Healthcare & Life Sciences Data Cloud.
• Risk adjustment & quality analytics accelerators powered by ML and longitudinal member data.
• Population health & care management intelligence using interoperable, FHIR‑native data models.
• FHIR, HL7, structured claims, and unstructured clinical ingestion using Snowflake’s large‑scale processing and Cortex LLMs.

Snowflake becomes your enterprise‑grade AI foundation — scalable, governed, secure — built to deliver outcomes across the healthcare value chain.

Solutions

• Member & Patient 360 Intelligence: We build a single, longitudinal Patient and Member 360 record on Snowflake — unifying EHR, claims, labs, pharmacy, care management, SDOH, and notes — so your teams make faster, more accurate, more coordinated decisions.
• Provider 360 Intelligence: We unify provider, facility, credentialing, clinical, and claims data into one AI‑ready view, giving you accurate profiles, stronger network analytics, and better referral and value‑based care insights.
• Patient Journey Mapping: We integrate clinical, operational, engagement, and social data into a longitudinal patient view so you can spot friction, personalize pathways, and predict risks with Cortex‑powered intelligence.

Where Financial Expertise Meets Snowflake Innovation 

Financial institutions generate enormous amounts of data — but turning it into real‑time intelligence is harder than it should be. Asset managers need clearer portfolio and risk visibility. Wealth advisors need data‑driven personalization at scale. Banks require stronger fraud, AML, and regulatory analytics. Market data complexity keeps growing, making interoperability and governance non‑negotiable.

We help you modernize your data ecosystem by integrating trading, transactional, customer, risk, market, and operational data into Snowflake’s secure, governed, AI‑enabled platform. With one place to access and activate trusted data, you get faster insight, stronger compliance, and more meaningful client experiences.

What We Deliver

• Real‑time customer & investor 360 for personalized advice and engagement.
• Portfolio, risk, and performance analytics built on unified financial datasets.
• Financial operations transparency through governed, auditable pipelines.
• Distribution, marketing, and advisor analytics designed to accelerate growth.

Our financial services work is grounded in years of supporting global institutions with rigorous governance, operational transparency, and performance at scale.

Solution

• Wealth & Asset Management Intelligence: We unify custodian, portfolio, risk, CRM, market, and third‑party data into a single Snowflake environment, so advisors, portfolio teams, and executives get transparent, real‑time insights that improve client outcomes and reduce operational risk.

Enable Self-Service Access to Trusted, Consistent, Governed Insights 

Organizations want to be data-driven, but many still struggle with inconsistent definitions, duplicated logic, and bottlenecks in analytics delivery. Business users wait for dashboards. Analysts rebuild the same metrics. Data engineers become gatekeepers instead of enablers.

Our Semantic Layer framework transforms Snowflake into a true self-service analytics platform, giving users access to trusted, governed, reusable definitions through any BI tool, AI assistant, or application—without relying on IT for every new insight.

We design open standards, interoperable semantic models that define metrics, dimensions, relationships, access rules, and business logic once—and make them accessible everywhere through APIs, SQL interfaces, dbt exposures, headless BI models, and data products.

Accelerate Modernization with AI‑Driven, Snowflake‑Native Engineering 

Modernizing data ecosystems requires more than simply moving workloads to the cloud — it demands reengineering for scale, performance, and long-term business value. Our Snowflake Migration Factory brings together deep, real world Snowflake expertise, proven accelerators, and AI powered automation to help organizations move from legacy data systems to Snowflake with exceptional speed, quality, and ROI.

We leverage Snowflake native technologies — including SnowConvert and Cortex Code — to transform complex data pipelines, orchestration logic, SQL workloads, and analytical models into modern, cloud optimized implementations. Our engineering accelerators automate repetitive tasks, reduce manual effort, and ensure every migration delivers measurable, business ready outcomes.

Build Open, AI-Ready Snowflake Platforms Powered by Our Cortex-Based Toolkit 

We design and build modern data platforms on Snowflake that are portable, interoperable, and future-proof. Our approach emphasizes open standards, ensuring your models, metadata, workflows, and observability remain usable beyond any single tool. You get the best of Snowflake’s performance and security without vendor lock in, plus a clear path to activate analytics and AI at enterprise scale.

We engineered our Toolkit with SQL first design, dbt compatible modeling, open metadata, OpenAPI contracts, Terraform based IaC, Git native CI/CD, OpenLineage, and OpenTelemetry — paired with Snowflake capabilities like Dynamic Tables, Streams & Tasks, Snowpark, Cortex AI, native data sharing, and Iceberg Tables.

Our Toolkit Principles (AI-First, Open & Vendor Neutral)

• Business Outcome Driven  Every design decision ties directly to speed, ROI, resilience, or risk reduction.
• Open Standards & Interoperability  SQL first modeling; dbt compatible patterns; OpenAPI/AsyncAPI contracts; Terraform IaC; Git versioning; OpenLineage metadata; and OpenTelemetry observability.
• Secure by Default Least privilege RBAC, encryption, data minimization, and automated policies    
• Data as a Product Clear domain ownership, contracts, quality SLOs, and observable lineage.   
• Composable & Scalable Modular blueprints for batch, streaming, BI, applications, and AI—without re platforming.   
• Operational Transparency  FinOps, lineage, and runtime telemetry included from day one.
    

Turn AI Ambition Into Action

Many organizations feel the urgency to adopt AI, but real progress often stalls before it begins. Unproven ideas, fragmented data, and legitimate concerns around security and governance create hesitation. Teams spin in conversations about what might be possible instead of identifying what’s truly achievable and valuable. Expectations rise, but momentum slows.

AI AMP brings direction and discipline to your AI ambitions. In just five weeks, we evaluate AI opportunities through the lens of your data, systems, and business objectives — separating high value use cases from low yield experimentation. Our approach assesses data readiness, uncovers where AI can meaningfully transform customer and employee experiences, and identifies where techniques like machine learning and natural language processing offer the greatest leverage.

Through focused working sessions, stakeholder interviews, and technical analysis, we deliver a grounded, evidence driven roadmap that clarifies where AI should drive impact — and a practical plan to accelerate from idea to execution.