Proven Impact.
Hard Data. Zero Soft Metrics.

We don't just talk about the future of AI — we build it. Every engagement is measured against a pre-deployment baseline. Revenue-attributed, auditable, replicable.

32%

Inventory overstock reduction

$4.2M

Saved in logistics costs

80%

Drop in false positive flags

99.5%

Data entry accuracy

Named Client Engagements
B2B SaaS · Revenue Accelerator

TrackVia: 143% Web Traffic & 128% MQL Growth

Engagement led by George Schildge, CEO · Methodology now powering PrescientIQ™

The Problem

TrackVia, a Denver-based low-code platform, had a strong product but weak inbound marketing — an outdated website, no documented buyer personas, and lead conversion well below B2B SaaS benchmarks.

The Solution

Persona research, full-funnel content strategy, HubSpot CRM and SEO implementation, and a complete website UX overhaul — building a demand generation machine from a stalled inbound engine.

143%

Web traffic

84%

Website leads

128%

MQL increase

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Additional Results

39%

Organic traffic

85%

Social following

90%

Conversion rate

77%

Return user rate

Defense Tech · Product Launch

ARA: 191% Traffic & 383% Leads Entering a New Market

Engagement led by George Schildge, CEO · Methodology now powering PrescientIQ™

The Problem

Applied Research Associates had 40 years of government engineering credibility — and zero commercial brand equity. Launching Pathfinder sensors into commercial security markets required building everything from scratch.

The Solution

Full commercial brand launch: buyer personas, HubSpot implementation, security trade PR and byline placements, Google AdWords + remarketing, LinkedIn and Twitter activation, and lead nurturing workflows.

191%

MoM visitors

383%

TOFU leads

84%

MQL increase

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Additional Results

68%

Website leads

#1

Keyword rankings

Trade

PR placements

MoM

Growth from zero

E-Commerce · Brand Launch

Da Maestri: Premium Infused Coffee Brand Launched on Schedule

Engagement led by George Schildge, CEO · Methodology now powering PrescientIQ™

The Problem

A Swiss premium infused coffee brand (superfoods + adaptogens, Nespresso-compatible) entering a hyper-competitive micro-brand market from scratch — needing differentiation, branding, packaging, and content before spending on acquisition.

The Solution

Market research, value proposition design, customer journey mapping, archetype and persona research, brand identity development, content strategy, and product launch architecture — all delivered before paid acquisition began.

On Time

Full brand launch

7

Market challenges solved

Swiss

Premium CPG market

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Launch Framework Delivered

Differentiated positioning

Swiss quality + functional wellness ingredients in Nespresso-compatible format

Full brand identity system

Visual identity, packaging strategy, brand voice, and launch content library

Channel activation strategy

DTC e-commerce, social, email pre-launch, and influencer seeding sequence

Hospitality · Multi-Location Growth

Natural Retreats: 75% Revenue Growth Across 25 Luxury Locations

Engagement led by George Schildge, CEO · Methodology now powering PrescientIQ™

The Problem

A luxury vacation rental company with 25 US locations needed to scale marketing across distinct local markets and drive web traffic and rental bookings — without losing the local relevance that converts vacation buyers.

The Solution

25 individual sales funnels, Google AdWords + retargeting, Facebook ads + retargeting, geo-targeted campaigns, SEO + SEM, email marketing, and a 5-step outbound email campaign — coordinated across all markets simultaneously.

75%

Sales revenue

183%

Email subscribers

75%

Web traffic

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Scale & Complexity Managed

25 individual funnels

Each location-specific: audience, messaging, offers, and booking conversion sequence

Geo-targeted paid media

Google AdWords, Google retargeting, Facebook ads and retargeting per market

5-step outbound email

Destination-personalized sequence converting warm leads to bookings

Named Client Performance

Results Across Real Engagements

Traffic / Visitors & Leads / Subscribers — % Growth

ClientTraffic / VisitorsLeads / Subscribers
TrackVia143%84%
ARA191%383%
Natural Retreats75%183%
TrackVia MQLs128%
Traffic / Visitors (% growth)
Leads / Subscribers (% growth)
Case Study 01 · Retail

Transforming Supply Chain Forecasting for a Global Retailer

The Problem

A leading international retailer faced a 15% inventory overstock rate due to inaccurate, manual demand forecasting — resulting in millions of dollars in tied-up capital and warehouse overflow.

The Solution

MatrixLabX engineered an AI-driven demand-forecasting model integrating historical sales data, localized weather patterns, and real-time market trends — deployed with a custom procurement dashboard.

32%

Overstock reduction

$4.2M

Cost savings

94%

30-day accuracy

Inventory Overstock Rate — Before vs After

15%
Before MatrixLabX
10.2%
After MatrixLabX
Case Study 02 · FinTech

Automating Fraud Detection for a FinTech Challenger Bank

The Problem

A rapidly growing FinTech platform was experiencing high false positive rates in fraud detection — blocking legitimate transactions and causing severe customer churn at a critical growth stage.

The Solution

We replaced their rules-based system with a deep learning anomaly detection algorithm. MLOps ensures the model continuously learns from new, verified fraud patterns without human intervention.

80%

Fewer false positives

45%

More fraud detected

False Positive Rate — Before vs After

100%
False Positives Before
20%
False Positives After
Case Study 03 · Healthcare

Generative AI for Healthcare Document Processing

The Problem

A regional hospital network was losing thousands of administrative hours manually entering unstructured patient intake forms into their EHR system — creating billing errors and slowing patient onboarding.

The Solution

MatrixLabX deployed a secure, HIPAA-compliant NLP and OCR pipeline to automatically extract, categorize, and verify patient data — eliminating manual data entry entirely.

20h

Saved per staff/week

99.5%

Data accuracy

40%

Faster onboarding

Admin Hours Saved Per Week Per Staff

Week 14h
Week 29h
Week 414h
Week 618h
Week 820h

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