What challenges did vivaLAB face before AI implementation?

Ingesting and analyzing 7-15 GB of raw biometric data per user created computing and storage bottlenecks. Annotating every gene took up to eight weeks, slowing consumer engagement. The team needed a secure, compliant way to scale precision-health reporting.

What was the impact of the AI solution?

Reduced data maintenance costs by 30%. Reduced bioinformatics run costs from $1,500 to $400 per report.

Source

GCPEvidence: Medium50/100

vivaLAB: Gemini Enterprise Agent Platform + BigQuery ML to accelerate genomics annotation and humanize biomarker insights

Use case typeHealthcare analyticsUpdated Jun 13, 2026

vivaLAB is a precision-health platform that ingests multi-omic and real-world biomarker data to produce personalized, longitudinal health insights. The company used Google Cloud serverless infrastructure with BigQuery, BigQuery ML, Gemini Enterprise Agent Platform, Gemini, Cloud Run, Firebase, and Cloud Storage to unify data, detect non-linear correlations, and translate clinical biomarkers into plain-English narratives.

Organization: vivaLAB
Industry: Healthcare
Location: United States
Published: May 2026

Reported outcomes

Data maintenance cost reduction: −30%

Cost savings

Genomics annotation turnaround: Less than 8 weeks to under 4 weeksBioinformatics run cost per report: 1,500 USD to 400 USD per report

Catalog median for cost savings deployments: −40% across 171 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Genomics annotation turnaround: 8 weeks to under 4 weeks decrease

Google Cloud Customer StoriesMay 31, 2026Customer storyExplicit claimMedium evidence strength

Reduced speed-to-science for genomics annotation from eight weeks to under four weeks.

Normalized claim

Data maintenance cost reduction: 30% decrease

Google Cloud Customer StoriesMay 31, 2026Customer storyExplicit claimMedium evidence strength

Reduced data maintenance costs by 30%.

Normalized claim

Bioinformatics run cost per report: 1,500 USD to 400 USD per report decrease

Google Cloud Customer StoriesMay 31, 2026Customer storyExplicit claimMedium evidence strength

Reduced bioinformatics run costs from $1,500 to $400 per report.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: vivaLAB
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Conversational AI
2Data Analytics
3Healthcare AI

Built a serverless data pipeline on Google Cloud with Cloud Storage as an infinite data lake.
Used BigQuery as a time-series engine and BigQuery ML to detect non-linear correlations in longitudinal datasets.
Used Gemini Enterprise Agent Platform and Gemini to generate human-readable biomarker narratives and align findings with PubMed.
Delivered reports via Cloud Run and Firebase with secure-by-design IAM and de-identification patterns.

Technologies

BigQuery BigQuery ML Gemini Enterprise Agent Platform Gemini Cloud Storage Cloud Run Firebase

Reduced data maintenance costs by 30%.
Reduced bioinformatics run costs from $1,500 to $400 per report.

Architecture

vivaLAB uses a serverless Google Cloud architecture with Cloud Storage as an infinite data lake, BigQuery and BigQuery ML for longitudinal analytics, Gemini Enterprise Agent Platform and Gemini for reasoning and natural-language generation, and Cloud Run plus Firebase for real-time report delivery. The system is secured with IAM, de-identification, and VPC controls.

Sources & evidence1

Evidence: Medium50/100Evidence strength