NewBusiness Decisions: odds from your own history

Secure, hallucination-free enterprise AI ecosystems

Custom, multi-agent Knowledge Bases, Autonomous Support Bots and Business Decisions for mid-market and enterprise companies — built past the generic SaaS wrapper.

Contact salesView strategy
Fig. 01 · Your knowledge, queried
  • GDPR compliant
  • Zero data retention
  • EU-hosted in Turin
  • Human handoff guardrails
Enterprise AI•RAG Platform•Secure Knowledge Base•Business Decisions•Autonomous Support Bots•Outcome Probabilities•Zero Data Retention•Hybrid Search•Multi-Agent Routing•Strict Guardrails•

The Target Market &
Go-to-Market Strategy

Targeting B2B Enterprise, E-commerce, Logistics, and Financial sectors handling high volumes of customer support and sensitive data.

Our phased rollout begins with an MVP, followed by onboarding 2-3 “Pilot Companies” at cost to generate verifiable case studies and ROI metrics, before launching outbound enterprise sales.

Explore Features
Fig. 02 · Four sectors, by volume

NewBusiness Decisions

Decisions grounded in your legacy, with the odds stated.

Fast, structured decisions and return probabilities, for your business and inside it, drawn from your own history rather than the internet's.

  • Calibrated probabilities

    Each probability is checked against what actually happened to your past decisions, so 0.7 means seven in ten, on your record.

  • Cited precedents

    Every figure names the past decisions it rests on and how many there were. Nothing is asserted without its sources.

  • Abstains when history is thin

    Where too few precedents exist to state odds honestly, it says so and routes the decision to a person instead of guessing.

See how it worksBook a decision pilot
Fig. 03 · Your history, as odds

For the business

The few large calls a year, where one mistake is expensive.

  • Capital investments
  • Market and site expansion
  • Pricing changes
  • Partner and supplier selection

Inside the business

The many routine calls a day, where consistency is the gain.

  • Approvals and exceptions
  • Credit limits
  • Inventory and reorder levels
  • Staffing and shift planning

Decision brief

Illustrative · not client data
Open a second distribution hub in Lyon?Horizon 18 months · P(return > 0)
OptionProbabilityVerdict
AOpen in Q1n = 23
0.680.61–0.74
Recommend
BOpen in Q3n = 9
0.410.30–0.52
Consider
CLease partner capacityn = 2Insufficient precedentTo a person
Decision support, not financial advice. Probabilities are estimates from your own historical outcomes; the decision stays with your people.

Core Products &
Financial Model

Fig. 04 · Filtered, then indexed

Secure Knowledge Base

A centralized, heavily filtered infrastructure where raw company data is cleaned and indexed in a vector space.

  • Hybrid Search
  • Re-ranking
  • Maximum Retrieval Accuracy

Business Decisions

Fast, structured decisions and return probabilities drawn from your company's own past decisions and their outcomes. Calibrated, cited, and handed to a person when the history is thin.

  • Calibrated Probabilities
  • Cited Precedents
  • Human Sign-off
Explore Business Decisions
Fig. 05 · Routed by intent

Autonomous Support Bot

A LangChain-powered, custom-built AI agent featuring stateful memory.

  • Multi-Agent Intent Routing
  • Strict Guardrails
Fig. 06 · Nothing retained

Zero Data Retention

The true differentiator. We use Enterprise LLM APIs or isolated open-source models.

  • Azure OpenAI
  • Logical/Physical Isolation
Fig. 07 · Fitted to your stack

White-Glove Enterprise Integration

A one-off setup fee covers data ingestion, cleaning, vector database setup, and custom prompt engineering.

  • Annual License
  • Security Audits
  • Dedicated Support
See Architecture

Method

Architecture, Operations & Risk Mitigation

01

Technical Architecture

Frontend interfaces built with React, Next.js, and TypeScript for highly responsive, scalable client panels.

Backend & Gateway orchestration handled by Node.js for robust API routing and processing.

AI & Microservices use Python for RAG pipelines and LangChain integration, with C utilized for optimizing low-level, high-performance data processing tasks.

  • React / Next.js
  • Node.js
  • Python / C
Fig. 08 · The stack, layer by layer
02

Operations & Team

Operating out of Turin ensures immediate compliance with strict European data privacy regulations (GDPR).

This strategic location provides direct access to a strong pipeline of local engineering talent.

The technical leadership brings a strict engineering discipline grounded in a BSc in Computer Engineering, practical AI engineering, and full-stack development.

  • Turin HQ
  • GDPR Compliance
  • Foundational Expertise
Fig. 09 · Turin, inside the walls
03

Risk Mitigation

Enterprise B2B sales are slow, and AI hallucinations pose a risk of brand damage.

To mitigate sales cycles, we secure pilot programs quickly and charge upfront setup fees to maintain early cash flow.

To mitigate AI hallucinations, strict guardrails are implemented. The agent will automatically seamlessly hand over to a human operator rather than guess an answer.

  • Pilot Programs
  • Human Handoff
  • Strict Guardrails
Fig. 10 · Doubt, weighed