Client Success Stories

Real-world automation solutions delivering measurable business impact across diverse industries

Financial Services & Investment
Automated Investment Data Aggregation and Analysis
Private Investors and VC Firms

The Challenge

An investment firm needed real-time access to comprehensive UK company data from Companies House for due diligence, competitive analysis, and investment opportunity identification. Manual data retrieval from the Companies House website is inefficient, error-prone, and can't scale to analyze thousands of companies.

Our Solution

Engineered a web scraping and data aggregation tool that continuously monitors Companies House records. The system extracts company financials, director information, filing history, shareholder structures, and legal proceedings. Data is normalized, enriched with additional public sources, and delivered through a searchable dashboard with real-time alerts for significant changes (directorship changes, financial filings, insolvency notices).

Technologies Used

Web Scraping
Companies House API
PostgreSQL
React Dashboard

Results & Impact

Automated monitoring of 50,000+ UK companies

User-friendly, well presented data dashboard for the investors

99.7% data accuracy rate

Early identification of 4 high-value investment opportunities

$2M+ invested using the tool
Investment
32% average YoY
Return on Investment
50,000+ companies monitored continuously
Coverage
Higher Education & Innovation Marketing
Intelligent Marketing Campaign Automation
University Tech Transfer Office

The Challenge

The tech transfer office struggled to effectively market diverse university innovations to appropriate industry partners, investors, and potential licensees. Each technology required customized outreach campaigns, but manual segmentation and personalized messaging was overwhelming the small marketing team. Response rates were low and many promising technologies received insufficient market exposure.

Our Solution

Built an AI-powered marketing automation platform that analyzes each new technology disclosure and automatically generates multi-channel marketing campaigns. The system uses natural language processing to understand the innovation's technical details and market potential, then creates targeted campaigns including email sequences, social media content, industry-specific landing pages, and personalized outreach to relevant contacts in the CRM. Machine learning algorithms continuously optimize messaging and targeting based on engagement data.

Technologies Used

Marketing Automation (HubSpot API)
GPT-4 for Content Generation
Machine Learning
CRM Integration
Email Marketing
Analytics Dashboard

Results & Impact

over 300% increase in response inquiries

30 minutes saved per marketing campaign

Automated outreach to 1000+ industry partners

95% reduction in campaign creation time
Efficiency Gain
300% increase in qualified leads
Lead Growth
Semiconductor & Precision Engineering
AI-Assisted Precision Engineering Analysis for EUV Reticle Handling
ASML

The Challenge

A spring-clip mechanism for an EUV reticle needed to survive real operational loads while staying precise to within microns. Manual multi-physics analysis across materials and load cases would have taken days.

Our Solution

Ran AI-driven structural, strain, and compliance analysis across PETG, PEEK, and Al 6061-T6. Compressed days of analysis into hours, identified the dominant failure point, and derived a hard 0.83mm pad thickness limit for sub-5μm displacement precision.

Technologies Used

Euler-Bernoulli Beam Theory
Strain Analysis (ε = tδ/L²)
Coulomb Friction Modeling
Elastic Shear Compliance
Multi-Physics Simulation
Material Comparison (PETG / PEEK / Al 6061-T6)

Results & Impact

Dominant failure point identified in hours vs. days

Resolved stiffness vs. actuation stroke design conflict

Derived hard 0.83mm pad thickness limit for sub-5μm precision

Revealed pad shear deformation and frictional slip as independent mechanisms

Validated t³ stiffness scaling law across all geometries

Days of analysis to hours
Efficiency Gain
3 materials, full load case matrix
Coverage
Sub-5μm displacement control
Precision Target
Technology Transfer
Automated Social Media Content Creation
University of Delaware Tech Transfer Office

The Challenge

The University of Delaware Tech Transfer Office needed to increase visibility of emerging technologies and innovations available for licensing. Manual post generation to LinkedIn was time-consuming, inconsistent, and failed to reach optimal posting times for maximum engagement.

Our Solution

Developed an intelligent LinkedIn automation system that automatically monitors new technology disclosures from the university's innovation pipeline. The system generates compelling, professional posts with relevant hashtags, images, and descriptions tailored to different audience segments (investors, industry partners, researchers). Posts are scheduled at optimal times based on engagement analytics.

Technologies Used

LinkedIn API
Natural Language Processing
Computer Vision
Scheduling Algorithms
Database Integration

Results & Impact

2 hours saved weekly on social media management

99% reduction in manual posting time
Efficiency Gain