The method
Cognitive Digital Twin: AI that doesn't think for people. It makes them think better.
- Neuro-symbolic: the flexibility of language models combined with the rigor of a knowledge graph. Verified entities and relationships anchor every answer and drastically reduce hallucinations.
- Transfer Reasoning: we model how senior experts reason and turn it into an environment where the rest of the organization learns.
- Compound Judgment: every interaction improves both the system and the person; adversarial multi-LLM review surfaces what a single model cannot see.
- Sovereign by Design: runs inside the organization's perimeter, with interchangeable models — no lock-in — and an audit trail on every inference.
The Adara method: from the client's context to production
Asset 02 · Document Intelligence
AraGPT: documents that answer, and cite their source.
- Multi-format ingestion (PDF, DOCX, XLSX, PPTX) and semantic search across the entire corpus.
- Multi-model and on-prem: models can be swapped without touching the application; no lock-in, everything inside the perimeter.
- Built-in EU AI Act compliance: consent, audit trail and source citation on every answer.
- Evolving toward the knowledge graph (GraphRAG): navigate the relationships between facts, not just the text.
- Traceability and explainability: the path that leads to the answer can be reconstructed and defended, step by step.
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AraGPT in action: screens from the product in production
Asset 03 · Data room and deliverables
ArgusOne: from documents to deliverables, in a pipeline.
- Secure, multi-tenant data room for document exchange with clients and counterparties.
- Five-stage pipeline: Ingest, Structure, Enrich, Generate, Deliver.
- Agentic flow: an orchestrator coordinates specialized agents; every step stays in the audit trail.
- Complex deliverables generated as advanced drafts; the expert validates and guarantees their quality.
Asset 04 · Conversational front office
Conversational Avatar: the front office that speaks — and listens.
- Realistic avatar: voice, listening and video in real time.
- Dedicated LLM + RAG on the organization's knowledge base: answers grounded in approved content, not improvised.
- Multilingual: every user is served in their own language.
- Available 24/7, on portals and apps.
Conversational front office: multilingual, 24/7, anchored to the organization's knowledge base
Asset 05 · Knowledge and monitoring
Ara Second Brain: scattered knowledge becomes daily intelligence.
- Local-first discovery engine: spots emerging patterns and reads them through expert "lenses".
- Daily digest from heterogeneous sources: regulation, internal notes, projects.
- From tacit to explicit knowledge: when the expert leaves, the expertise stays in the company.
- Automatic alerts on deadlines, risks and opportunities.
Ara Second Brain: from source collection to the morning digest
Asset 06 · Talent intelligence
Ara HR: the digital twin of your talent.
- Organizational genome: the map of skills and traits, on a psychometric basis.
- Team Composer: suggests project team composition based on skills and complementarity.
- Strengths-based coaching, scalable to the entire workforce; predictive Role-Fit for roles and succession.
- Governance of generational turnover and organizational capacity over time.
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Ara HR in action: from the talent genome to team composition
Showcase · Predictive actuarial risk
Hospital Risk Predictor: risk, calculated and defensible.
- Probabilistic actuarial model of malpractice risk, applying a Solvency II approach to healthcare.
- Calculation of the risk reserve required by Italy's Gelli Law (L. 24/2017).
- Ingestion of claims in heterogeneous formats (Excel, CSV, scanned PDFs) and of exposure data.
- Probabilistic scenarios, claim merit ratings and decision-ready reports, by area and operating unit.
- Separation between language and calculation: the numbers come from a deterministic engine; the AI interprets and explains.
Hospital Risk Predictor is developed by Adara on the Ara framework for the insurance broker MAG; the intellectual property is covered by a patent held by MAG.
Hospital Risk Predictor: claims run-off analysis by area and operating unit
Showcase · Generative simulation
Tessera: synthetic panels to test decisions before making them.
- Synthetic populations of LLM agents (Generative Agent-Based Models): personas with memory, values and consistent behaviors.
- Simulates how people react to a product, a service or a message before launch.
- Simulation dashboard, per-agent detail, crosstab analysis and research assistant.
- "Silicon sample" validation: simulated answers are benchmarked against real demographic data.
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Tessera: from the synthetic population to the analysis of reactions