What kind of results does NeoGenTechnologies achieve for clients?

NeoGenTechnologies has achieved results including 74% reduction in support tickets through AI agents, 4.2× organic traffic growth via Generative Search Optimization with Google Gemini, and $840,000 in recovered annual revenue through predictive churn modeling.

Does NeoGenTechnologies publish real client case studies?

Yes. NeoGenTechnologies publishes detailed, anonymized case studies for each major engagement, including the technical architecture, methodology, and verifiable business outcomes. Each case study also includes an audio version for accessibility.

Proven Outcomes

Case Studies

Deep technical breakdowns of real-world AI deployments. Each study includes measurable outcomes, architecture details, and an audio version you can listen to on the go.

3 Published Studies

Audio Available on All

Real ROI Data

SaaS / B2B Software

74%

Ticket Reduction

Audio

9 min read·March 2026

How We Eliminated 74% of Support Tickets with an Autonomous AI Agent

A SaaS company was drowning in 10,000+ monthly support tickets. We deployed a multi-agent AI system that resolved the majority autonomously , in under 3 seconds per ticket.

AI AutomationAutonomous AgentsLangChain

74%

Support Tickets Resolved Autonomously

2.8s

Average Resolution Time

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Legal Technology

4.2×

Organic Traffic Growth

Audio

11 min read·April 2026

Using Google Gemini API to Achieve AI Search Dominance for a Legal Tech Brand

Traditional SEO alone was no longer enough. We built a Generative Search Optimization strategy powered by the Google Gemini API that made our client the most-cited brand in AI-generated answers across their industry.

GSOTechnical SEOGoogle Gemini

4.2×

Organic Traffic Growth

37/mo → 890/mo

AI Search Citations (Gemini/ChatGPT)

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E-Commerce / Subscription

$840K

Revenue Recovered

Audio

10 min read·February 2026

Building a Predictive Churn Model That Recovered $840K in Annual Revenue

A subscription business was losing high-value customers silently. We built a real-time ML churn prediction system that identified at-risk accounts 45 days before cancellation , with 91% accuracy.

Predictive AnalyticsMachine LearningChurn Prevention

$840,000

Annual Revenue Recovered

91%

Churn Prediction Accuracy

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