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Case Studies

Outcomes measured in production.

Every study leads with the metric we agreed to move, and how we measured it. Clients are named only where they have agreed to be a public reference.

All studies

Media & Entertainment

Making a 1.2 PB media archive searchable with generative AI

A Chicago-based media archive and licensing company

A media archive and licensing company tagged 10 to 20 times more content per editorial hour by moving editors from producing metadata to reviewing AI output, across a 1.2 PB archive.

10-20x
more content tagged per editorial hour

Media · Generative AI · Google Cloud

Consumer Electronics

Product intelligence from a connected appliance fleet

A leading global consumer appliances company

A global appliance brand made a fleet generating 70,000 telemetry records a minute queryable in plain English, and put live pricing intelligence across 160 retailers and 1,150+ SKUs into production.

70,000
telemetry records per minute, queryable in plain English

Consumer Electronics · IoT · Google Cloud

Public Sector

Collapsing a six-month client onboarding to weeks

A government and non-profit health and human services case management platform

A health and human services case management platform automated 80 to 90% of form onboarding effort, turning a six-month implementation into a pipeline run plus a human review.

80-90%
of form onboarding effort automated

Public Sector · Document AI · Google Cloud

Healthcare

Moving a HIPAA clinical analytics platform off a vendor data centre

A U.S. healthcare technology company delivering clinical analytics for providers and hospitals

A healthcare analytics provider moved off a vendor-managed data centre in eight weeks without missing a single clinical data pipeline, and replaced proprietary analytics licensing with a stack it owns.

8 weeks
to own and govern its own infrastructure

Healthcare · Migration · Google Cloud

Retail & E-Commerce

Off five hand-managed VMs and onto containers

A high-volume CRM and order management provider

A CRM and order-management provider moved 900+ scheduled data tasks off five hand-managed virtual machines onto an orchestrated container platform, cutting manual resource allocation by 80 to 90%.

900+
data processing tasks moved off hand-managed VMs

E-Commerce · Migration · Google Cloud

Healthcare

Healthcare analytics platform, rebuilt on Google Cloud

A regional healthcare network serving 3 million patients

Traded a slow on-premise warehouse for a HIPAA-ready analytics platform on Google Cloud, cutting query times from over 24 hours to under 30 seconds while handling more than 1M patient records a day.

<30s
query time, down from over 24 hours

Healthcare · Data Analytics · Google Cloud

FinTech

Scaling a FinTech payment platform

A fast-growing FinTech payments provider

After transaction volume jumped 10x, we rebuilt the monolith as microservices on Google Cloud, reaching 50,000+ transactions per second at sub-second latency with PCI-DSS Level 1 compliance.

50,000+
transactions per second

FinTech · Payments · Google Cloud

Logistics

A governed logistics lakehouse on Databricks and Google Cloud

A logistics operator

Unified freight, telematics and warehouse data into a governed lakehouse on Databricks and Google Cloud, with Unity Catalog over Delta Lake and BigQuery federation so analysts query trusted data without moving it.

12+
source systems unified under one governance model

Logistics · Databricks · Google Cloud

Financial Services

Rebuilding document AI on Gemini, at 60% lower cost

A specialty insurance underwriter

A specialty insurance underwriter ran claims document AI on OpenAI models with a Bedrock redaction pilot on the side. We rebuilt the workload on Gemini inside their existing Google Cloud perimeter: long context replaced the chunking pipeline, a model cascade cut cost per document by 60%, and accuracy went up, measured on a 1,200-document golden set.

60%
lower cost per document than the previous LLM stack

Financial Services · Generative AI · Google Cloud

Manufacturing & Industrial

The predictive maintenance project a warehouse quote killed

A global industrial manufacturer

A global industrial manufacturer shelved fleet-wide predictive maintenance after a warehouse-centric design was quoted near two million dollars a year. We rebuilt the economics on Databricks inside their Google Cloud estate: streaming Delta Lake ingestion, incremental pipelines instead of nightly full refreshes, and per-line anomaly models. The platform runs at roughly a fifth of the shelved quote.

5x
cheaper than the warehouse quote that shelved the project

Manufacturing · Databricks · Data & ML

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