Platform for Reasoning, Intelligence & Specialized Modeling

Your Professional AI Twin

The Problem with Generic AI

Great at everything. Expert at nothing.

Horizontal AI

THE STATUS QUO
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Generic knowledge โ€” broad but shallow

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Same responses for everyone

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No domain specialization

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Requires prompt engineering expertise

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Data sent to external servers

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Unpredictable API costs at scale

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Forgets everything when the session ends

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Retrieves information

Vertical AI โ€” PRISM

THE SOLUTION
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Deep expertise in specific domains

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Personalized to your methodology

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Trained on YOUR knowledge base

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Simple wizard configuration

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Data stays on YOUR infrastructure

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Predictable fixed costs

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Remembers your work and grows with every interaction

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Reasons like an expert

The Professional AI Twin Architecture

Six layers that transform generic AI into domain expertise

๐ŸŽญ

Identity Layer

WHO IS THE TWIN?

Built through our Agent Builder Wizard. Defines domain, role, tone, language, and citation rules. No prompt engineering โ€” just answer simple questions.

Example: "Cardiologist, formal tone, always cite sources, Italian language"
๐Ÿ“š

Knowledge Layer

WHAT DOES IT KNOW?

Your documents become the AI's expertise. Upload PDFs, protocols, regulations, case files. The Twin knows what's in your knowledge base โ€” and knows what it doesn't know.

Example: Clinical protocols, ESC guidelines, patient histories
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Style Layer

HOW DOES IT WRITE?

Upload documents YOU'VE written. PRISM extracts your vocabulary, structure, formality level, signature phrases. The Twin writes like you, not like a generic machine.

Example: Your reports, emails, published papers
๐Ÿง 

Reasoning Layer

HOW DOES IT THINK?

The breakthrough: AI that doesn't just retrieve โ€” it REASONS. Cross-domain synthesis, pattern recognition across projects, anomaly detection. Like a senior colleague who has read everything and forgets nothing.

Example: "Based on 47 similar cases and 3 relevant regulations, I recommend..."
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Memory Layer

WHAT HAS IT REMEMBERED?

Your Twin carries the thread of your professional work. It retains the context of past conversations โ€” what was discussed, what was decided, what was left open. Each session builds on the last, without you ever having to repeat yourself.

Example: "As we decided in last week's review, the approach for this case is..."
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Learning Layer

WHAT HAS IT LEARNED FROM YOU?

Over time, your Twin captures what emerges from your conversations โ€” new discoveries, decisions made, knowledge corrected. These validated insights accumulate into a growing layer of professional expertise that enriches every future response.

Example: "Based on the insight captured from your June case review, I would flag..."

3-Tier Knowledge Architecture

Structured like human expertise: from intuition to documentation

1

Captured Expertise

INSIGHTS & TACIT KNOWLEDGE

The hardest knowledge to formalize: senior experts' intuitions, lessons learned, decision rationale. PRISM captures this through conversation analysis before it walks out the door.

Examples: "Why we don't do X anymore", unwritten rules, historical context
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2

Working Knowledge

HOW WE ACTUALLY DO THINGS

Practical operational knowledge that bridges formal procedures and real execution. Templates, best practices, internal standards that evolve with your organization.

Examples: Project templates, internal standards, "the way we do it here"
โ–ผ
3

Structured Documentation

FORMAL & AUTHORITATIVE SOURCES

The foundation: official policies, regulatory requirements, technical manuals, compliance frameworks. Important, but insufficient alone for true professional intelligence.

Examples: GDPR articles, ECSS standards, ISO procedures, official manuals

AI That Reasons, Not Just Retrieves

The difference between a search engine and a senior colleague

TRADITIONAL RAG
Question โ†’ Search docs โ†’ Return chunks โ†’ Generate answer
PRISM REASONING LAYER
Question โ†’ Search all tiers โ†’ Recall memory & insights โ†’ Cross-domain synthesis โ†’ Pattern recognition โ†’ Contradiction check โ†’ Reasoned recommendation
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Cross-Domain Synthesis

Connects insights across different knowledge domains. When a thermal issue appears, the Reasoning Layer links it to structural implications, material constraints, and historical precedents โ€” automatically.

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Pattern Recognition

Identifies recurring patterns across hundreds of projects, documents, and conversations. Spots the anomaly that humans miss because they can't hold everything in memory.

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Proactive Recommendations

Doesn't wait to be asked. The Twin surfaces relevant information before you need it: "This approach failed in Project X โ€” here's why and what worked instead."

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Anti-Hallucination by Design

Every claim is traceable to source documents. The Twin knows what it knows and what it doesn't know. No confident nonsense โ€” just grounded expertise.

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Conversation Continuity

Every session builds on the last. The Twin remembers what was discussed, what was decided, and what was left unresolved โ€” carrying the full thread of your professional work forward without you having to re-establish context.

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Validated Expertise Capture

As you work, your Twin learns. New discoveries, corrected assumptions, and strategic decisions from your conversations become validated insights โ€” permanently enriching the knowledge available for every future answer.

Your Data. Your Control. Period.

Not a promise โ€” an architecture

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Self-Hosted LLMs

Large Language Models run on YOUR infrastructure. Data never exits your perimeter.

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Multi-Tenant Isolation

Complete separation between organizations. Dr. Rossi cannot see Ing. Bianchi's data. Ever.

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Complete Audit Trails

Every query, every response, every source citation. Ready for any regulator.

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Compliance by Design โ€” GDPR ยท HIPAA ยท MiFID II ยท ECSS

Built into the architecture, not bolted on. Predictable fixed costs. Scale users without scaling bills. No API surprises.

Vertical Expertise Across Industries

Same platform. Specialized for each domain.

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Healthcare Brain

Clinical decision support, patient history synthesis, protocol compliance. HIPAA-ready from day one.

Use cases: Diagnostic support, treatment planning, clinical documentation
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Finance Brain (WeGenSยฎ)

Portfolio analysis, regulatory compliance, market intelligence. MiFID II ready.

Use cases: Investment research, risk assessment, client reporting
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Engineering Brain

Technical documentation, compliance matrices, cross-project learning. ECSS/ISO compliant.

Use cases: Design review, anomaly detection, knowledge preservation
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Education Brain

Research assistance, literature review, curriculum development.

Use cases: Paper review, teaching support, research synthesis

From Zero to AI Twin in Four Steps

No prompt engineering. No AI expertise. Just answer questions.

1
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Select Domain

Choose your field: Healthcare, Legal, Finance, Engineering, Education

2
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Define Role

Describe the expert: "Cardiologist", "Patent Attorney", "Risk Analyst"

3
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Upload Knowledge

Add your documents: protocols, manuals, case files, your own writing samples

4
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Deploy

Your Professional AI Twin is ready. Start reasoning.

What Big AI Will Never Do

PRISM's permanent competitive moat

Capability ChatGPT Enterprise Claude Pro PRISM
Data stays on your servers โœ— โœ— โœ“
Domain-specific templates โœ— โœ— โœ“
Fixed-cost unlimited users โœ— โœ— โœ“
Complete audit trails โš  Limited โš  Limited โœ“
Style extraction (writes like you) โœ— โœ— โœ“
3-Tier Knowledge Architecture โœ— โœ— โœ“
Reasoning Layer โœ— โœ— โœ“
Anti-hallucination grounding โš  Limited โš  Limited โœ“ KB-First
Persistent memory across sessions โœ— โœ— โœ“
Captures & grows from your expertise โœ— โœ— โœ“

Ready to Build Your Professional AI Twin?

Join forward-thinking organizations already transforming their expertise into AI advantage.

Request Demo
๐Ÿ”’ GDPR Ready ๐Ÿฅ HIPAA Compliant ๐Ÿ“‹ MiFID II Ready ๐Ÿš€ ECSS Compliant