Case Study 1: Ask the Archive

Industry: Manufacturing / Professional

Challenge:
30 years of critical sales knowledge—customer interactions, pricing strategies, technical specifications, deal structures—locked exclusively in one senior salesperson's email archive. Two-person junior sales team had no access, creating dangerous single-person dependency and constant interruptions.

Solution:
AI-powered Retrieval-Augmented Generation (RAG) system transforming 30,000 archived emails into an intelligent, searchable knowledge base with natural language querying.
Results:✓ Eliminated critical single-person knowledge dependency
✓ Democratized 30 years of commercial expertise across entire sales team
✓ Freed senior salesperson from constant interruptions for strategic work
✓ Preserved institutional knowledge that survives personnel changes
✓ Enabled faster onboarding with instant access to historical context
✓ Improved customer response time with searchable precedents

Timeline:
Traditional approach: 3-4 months with specialized AI/ML team
With Uranion: 3-5 weeks from kickoff to production deployment

Case Study 2: AI Native Project Generation

Industry: Retail / E-commerce

Challenge:
Traditional keyword-based product catalog couldn't handle extensive trade show booth inventory. Customers struggled to find relevant options when searching by use case, style, or industry sector rather than exact product names. Poor product discovery resulted in lost sales and increased support burden.

Solution:
‍‍Intelligent product catalog integrated with Odoo ERP, featuring semantic search, AI-powered recommendations, natural language querying, automated 3D visualization, and guided user profiling
Results:‍✓ Dramatically enhanced customer search through natural language queries
✓ Increased product discovery and conversion rates
✓ Competitive differentiation in trade show booth market
✓ Reduced customer service workload (fewer "help me find" requests)
✓ Improved lead quality through structured data collection
✓ Maximized value of existing product data and visual assets

Timeline:
Traditional approach: 4-6 months with specialized team
‍With Uranion: 4-5 weeks including Odoo integration and semantic search

Technologies:
‍Semantic embeddings, vector search, 3D model pipeline, natural language processing

Case Study 3: CRM for Luxury Real Estate

Industry: Luxury Real Estate

Challenge:
New consultancy needed specialized CRM for luxury asset transactions (high-end real estate, yachts, jets) that off-the-shelf systems couldn't provide. Required sophisticated client management, detailed asset tracking, complex commission structures, and client-facing transparency—all on startup runway constraints.

Solution:
‍‍Comprehensive custom CRM built on Corteza platform, completely localized to Italian, with specialized features for luxury asset sales, including multi-polygonal property visualization, automated brochure generation, secure client portal, and collaborative document rooms.
Results:‍✓ Professional-grade CRM tailored to luxury asset transactions
✓ Streamlined client acquisition, profiling, and opportunity management
✓ Automated generation of brochures, reports, marketing materials
✓ Enhanced client experience through secure portal with real-time tracking
✓ Scalable foundation growing with team expansion
✓ Professional market positioning through technology sophistication

Timeline:
Traditional approach: 6-9 months with full development team
With Uranion: 6 months including platform customization and Italian localization

Case Study 4: Arrital

Industry: Manufacturing / Enterprise

Challenge:
Digital transformation blocked by the complexity of migrating decades of business logic from legacy systems to new platforms. Traditional migration approaches carried massive risks—potential loss of critical knowledge, unclear dependencies, and business-stopping errors during transition.

Solution:
AI-driven business logic migration system combining proprietary data models, multi-layer analysis, and RAG technology to precisely map and extract operational rules and dependencies, transforming them into structured, AI-ready knowledge base.

Results:
✓ 32% cost reduction on first migration project
✓ Up to 70% cost reduction on subsequent migrations (reusable knowledge base)
✓ 29% faster time-to-market for new solutions
✓ Constructed AI-ready knowledge base enabling future intelligent applications
✓ Transformed migration from cost/risk into governance and innovation opportunity
✓ Created reusable digital assets from business complexity

Timeline:
Significantly accelerated compared to traditional manual documentation and reverse-engineering approaches

Strategic Impact:
Migration is no longer just an expense or risk—it became an opportunity to strengthen governance, accelerate innovation, and build measurable competitive advantages. Business complexity transformed into concrete, reusable asset.

Case Study 5: AI-Scored Supplier Selection

Industry: Manufacturing / Precision Components (production split between Italy and China)Manufacturing / Enterprise

Challenge:
With production split between Italy and China, supplier selection depended entirely on senior know-how with no integrated performance history. Manual quote management and fragmented systems limited operational efficiency.

Solution:
Uranion built a supplier management platform alongside existing systems: an automatic supplier scoring system with a decision-support dashboard, formalization of decision-making heuristics accessible even to less experienced staff, and a tablet auditing app with offline capabilities for on-site data collection from Chinese partners, feeding the intelligent scoring system.

Results:
✓ Automatic supplier scoring with decision-support dashboard
✓ Senior decision-making heuristics formalized and reusable
✓ Offline tablet auditing for on-site supplier visits in China
✓ Senior knowledge democratized across the team
✓ Procurement decisions now data-driven, fast, and scalable

Timeline:
Traditional approach: senior-dependent, no integrated history. With Uranion: data-driven supplier management deployed alongside existing systems.

Case Study 6: Generative Design Discovery

Industry: Interior Design / Retail

Challenge:
Retailers and interior designers needed a tool to bridge the gap between a client's vision and the final project. Traditional catalogs failed to inspire or capture creative intent in a way designers could act on.

Solution:
Uranion built an AI-powered portal that turns inspiration into an interactive, generative experience: natural language semantic search and visual image search, generative AI rendering of room configurations, a recommendation engine based on aesthetic similarity, ML-powered price-range prediction from project metadata and materials, and a personal portfolio with shareable design references.

Results:
 ✓ From static catalog to an interactive, generative discovery experience
✓ Client vision translated into images the designer can act on
✓ Automatic price estimation for every generated configuration
✓ Reusable components across web, interactive totems, and embedded devices

Timeline:
Traditional approach: manual back-and-forth from inspiration to project. With Uranion: AI-generated references drastically reduce time from first contact to final project.

CASE STUDIES

Six Problems. Six Systems. Six Teams That No Longer Rebuild From Scratch.

Every project starts from listening. What connects these six engagements is not the industry -  it is the challenge of making decades of knowledge work again, without starting from scratch every time.

C&C Group transformed 30 years of sales knowledge from one person's email archive into a searchable institutional asset. Henoto built visual search across thousands of trade show booth designs where traditional keyword search failed. JnB Private created a specialized CRM for high-value transactions that no off-the-shelf platform could handle. Arrital migrated a three-decade-old pricing engine without losing a single line of accumulated business logic.

These represent our work in traditional enterprise domains. Beyond them, we're building in healthcare-diagnostic AI that shows its sources, not just conclusions. In cloud infrastructure, where Zero Trust platforms serve live production workloads. In interior design, where AI generates room concepts using real product catalogs. In public sector innovation, from urban safety monitoring to maintenance systems that preserve tribal knowledge.

The pattern is consistent: when institutional knowledge matters, when systems span decades, when compliance demands complete auditability-stateful architecture eliminates the rebuild penalty that makes traditional platforms unsustainable.

We work across any domain where complexity compounds over time rather than simplifies. See on the right how these four organizations solved challenges that commodity platforms couldn't touch.
Case Study 1: Ask the Archive

Challenge: 30 years of sales knowledge locked in one person's email archive. Junior team had no access, creating dangerous dependency.

Learn More
Case Study 2: AI Native Project Generation

Challenge: traditional keyword-based product catalog couldn't handle extensive trade show booth inventory.

Learn More
Case Study 3: CRM for Luxury Real Estate

Challenge: new consultancy needed specialized CRM for luxury asset transactions (high-end real estate, yachts, jets) that off-the-shelf systems couldn't provide.

Learn More
Case Study 4: Arrital

Challenge: digital transformation blocked by the complexity of migrating decades of business logic from legacy systems to new platforms.

Learn More
Case Study 5: AI-Scored Supplier Selection

Challenge: With production split between Italy and China, supplier selection depended entirely on senior know-how with no integrated performance history.

Learn More
Case Study 6: Generative Design Discovery

Challenge: Retailers and interior designers needed a tool to bridge the gap between a client's vision and the final project.

Learn More

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