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Results that speak for themselves.

Every number here was delivered using the Build With model — AI agents and consultants working together.

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Enterprise Engagements

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Data Rows Validated

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Average Speed Improvement

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Data Loss Incidents

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Client Retention Rate

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Average Migration Duration

Financial Services Data Migration

From Oracle to Snowflake in 10 weeks — with zero data loss across 2.3 billion rows

10 weeks vs. 14-month estimate (5.6x faster)

2.3B rows validated 85% AI-generated code $140K annual compute savings
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Healthcare Analytics

14 disconnected systems unified into one analytics platform in 12 weeks

Time to insight: 3 weeks to 4 hours

85% dashboard adoption 890 metric conflicts resolved $2.1M cost savings identified
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Financial Services Data Migration

A Fortune 500 bank's 9-month Oracle migration estimate? We did it in 8 weeks.

8 weeks vs. 9-month estimate (4.5x faster)

2.1B rows migrated Zero data loss 65% cost reduction
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Healthcare Architecture

12 hospital systems. 4 billion patient records. One unified truth — in 14 weeks.

4B rows unified with zero loss

40% faster insights 50% fewer data issues HIPAA compliant
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Technology Analytics

A Series D SaaS company was bleeding cloud spend. We cut it by 60% — in 10 weeks.

60% cost reduction achieved

Sub-second queries Real-time dashboards Zero downtime migration
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Retail AI/ML

$12M lost annually to bad forecasts. Our AI agents turned that into $12M saved.

$12M annual ROI recovered

23% accuracy boost 800+ stores optimized Automated restock alerts
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Financial Services Architecture

50 data silos. One insurance provider. Real-time risk scoring — live in 10 weeks.

70% infrastructure cost reduction

50+ sources integrated Minutes vs. days for quotes Data Mesh enabled
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Professional Services AI/ML

500,000 contracts. 15 languages. A 2-year backlog cleared in 12 weeks.

90% faster review time

99.2% accuracy Multi-language NLP Agentic automation
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Ready to achieve results like these?

Book a discovery call and let's discuss how the Build With model can work for your organization.