In every VIXXIA product, people own the structure and the rules, and AI comes in where it adds value.
Custom project
VIXXIA Swarm
A team of AI agents that analyzes business cases and delivers the report in the format you set.
You describe the context, the data and the expected deliverable. A coordinator records the facts of the case, finance, risk and strategy specialists work in parallel, a critic reviews their analyses and a writer drafts the report, which goes through a final review before it reaches you.
Base, downside and upside scenarios, with NPV, IRR and payback computed by tools, not estimated by the model
Legal, regulatory and operational risk matrix
Every claim gets an ID and can be traced back to its source data
A critical review that stops inconsistencies before delivery; legal opinions are flagged for validation by a lawyer
Who it's for: Executive teams, boards, consultancies, and strategy, risk and legal departments.
Production-ready AI agents, with architecture, control and governance from day one.
Many companies want AI agents but get stuck on unpredictability, operational risk and the difficulty of explaining what the agent decided. Mentor is our discipline for taking a real process all the way to an agent in production: design by intent, execution with controls, measurement of quality, cost and risk, and continuous improvement through AgentOps.
Discovery and design: process mapping, risk classification and rollout plan
Build and deploy: integrations, policies and approval paths, with people in the loop when the risk calls for it
A decision and action trail for auditing
Regression tests and ongoing tuning of cost, latency and quality
Who it's for: Companies with repetitive, documented processes that need traceability: back office, compliance, documentation and customer service with escalation.
Speak your idea. Get back a structured note that has already faced hard questions.
You record the idea as audio, and MindCloud transcribes it and runs a Socratic cycle with two AI models: one proposes hypotheses and unexpected connections, the other plays devil's advocate. The idea only becomes a synthesis once it holds up under that pressure; otherwise it goes back for another round.
Voice input, no forms
Explicit assumptions and questions for every idea
Mandatory adversarial pressure before any conclusion
Markdown notes, ready for Obsidian or your company's knowledge base
Who it's for: Founders, managers, consultants and innovation teams who think out loud.
Hands-on AI literacy: missions in simulated worlds where decisions have consequences.
Instead of a lecture, participants investigate a situation, talk to characters, use AI agents and make decisions. The focus is judging what the AI claims: accepting what is supported, rejecting what is wrong and holding back when evidence is missing. We are selecting a partner institution for the pilot.
Missions tailored to the industry and audience
Graduated AI assistance, from minimal to full support
Deterministic engine: the same decision leads to the same consequence
Pilot assessed with pre-test, post-test and retention, compared with a traditional workshop
Who it's for: Corporate universities, HR and learning & development teams and, at a later stage, schools.
Interactive fiction about career, power and ethics in the age of AI, played in free text.
The player joins a fictional AI company as a junior analyst and can rise to CEO over eight chapters of corporate satire. There is no menu of choices: they write what they would say or do. The AI interprets each answer and quietly adjusts four profile dimensions, which change the story and lead to one of four endings.
Eight chapters and four endings shaped by the player's profile
A human-written story, with the AI only interpreting and voicing the characters
Also runs without AI, with static text
Live demo by appointment
Who it's for: Events, leadership and AI ethics training, and group sessions for technology and business teams.
