Google Cloud Public Sector United States

Indiana Secretary of State

Application Refactoring · Marketing Personalization · Real-time Analytics

Reduced research time from weeks to minutes by transforming 20M+ legacy records into searchable intelligence For over a century, the Indiana SOS has served as the steward of the state’s economic history, managing a massive repository of 20 million records.

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Delivers 24/7 bilingual resident support with Gemini-powered AI agents that increased team capacity 10x

Earned the 2025 Government Technology Award for “Best Application Serving the Public at the State Level.”

Launched a Notary Learning Management System (LMS) that provides AI-powered training to over 50,000 state-wide professionals

Modernized 100 years of historical data, including complex handwritten filings, into an accessible digital repository

Reported impact

Business outcome

Reduced research time from weeks to minutes by transforming 20M+ legacy records into searchable intelligence; Modernized 100 years of historical data, including complex handwritten filings, into an accessible digital repository; Delivers 24/7 bilingual resident support with Gemini-powered AI agents that increased team capacity 10x; Launched a Notary Learning Management System (LMS) that provides AI-powered training...

Solution

Under the Captain Record initiative, Indiana SOS moved away from retrofitting legacy systems, and instead adopted a cloud-first strategy to turn their archives into living intelligence. In collaboration with Google Public Sector and partners mavQ , and Venturit , they leveraged Gemini models and Vertex AI Platform to build mission-critical tools. By integrating Google AI models like Veo and AI platform tooling through Vertex AI, the state can now reason across its entire historical archive, interpreting everything from 100-year-old handwriting to image-based scans. To manage this massive undertaking, Indiana SOS utilizes BigQuery as a centralized data warehouse to orchestrate and monitor the ingestion of 20 million legacy records. By replacing rigid keyword searches with plain-language discovery, agency staff can now locate critical information in minutes that previously took weeks or months.

Data flow

stored or unified in BigQuery, Cloud Storage, processed with Vertex AI, orchestrated via Google Kubernetes Engine (GKE), and surfaced through Gemini, Veo, Cloud Run

Solution architecture

7 components · 4 layers

Compute
- Vertex AI Hosts and orchestrates machine learning and generative AI capabilities inside the solution.
Storage
- BigQuery Stores and queries the analytics and AI-ready datasets that power the workload.
- Cloud Storage Stores large files, lake data, or static assets that feed downstream analytics and applications.
Serving
- Gemini Powers natural-language reasoning, summarization, generation, or assistance inside the workflow.
- Veo Generates video-centric creative content for user experiences.
- Cloud Run Runs application services and proprietary code in a managed container environment.
Orchestration
- Google Kubernetes Engine (GKE) Orchestrates the platform's containerized services and high-concurrency workloads.

Architecture clues

Delivers 24/7 bilingual resident support with Gemini-powered AI agents that increased team capacity 10x
The Indiana Secretary of State (SOS) partnered with Google Public Sector to transform 20M+ records into living intelligence
Vertex AI Google Kubernetes Engine (GKE) Google Cloud Storage Cloud Run

Evidence from the source

Delivers 24/7 bilingual resident support with Gemini-powered AI agents that increased team capacity 10x

Earned the 2025 Government Technology Award for “Best Application Serving the Public at the State Level.”

Launched a Notary Learning Management System (LMS) that provides AI-powered training to over 50,000 state-wide professionals

Modernized 100 years of historical data, including complex handwritten filings, into an accessible digital repository

Reduced research time from weeks to minutes by transforming 20M+ legacy records into searchable intelligence

Transparency Evidence & methodology 95/100 reference value · 79% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value95/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth20/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact25/25
3 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence79%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability21/25
10 of 12 key fields link to a named source.
Direct evidence20/20
5 direct source quotes retained.
Date provenance0/10
The publication date has no documented provenance.
Source transparency8/10
1 source reference document publisher, URL, authority, retrieval, and supported fields.
Implementation specificity10/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

Google Cloud
Indiana Secretary of State customer story

First-party
https://cloud.google.com/customers/indiana-secretary-of-state

Source type
Vendor-published customer story
Supports
- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes

Date evidence

First archived Apr 16, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
Open date source
Sitemap last modified Apr 15, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
Open date source

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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