Turn complex decisions into evidence-backed reasoning graphs
Hexalveo decomposes high-value business decisions into subproblems, evidence, assumptions, constraints, risks, and affected actors, then shows how each element contributes to the recommendation.
Inspect uncertainty, challenge assumptions, test counterfactuals, and maintain a complete decision record.
What it produces
Decision model
Inspectable graph of claims, evidence, assumptions, constraints, and risks
Calculated Confidence
A single confidence score supported by traceable evidence, contradictions, information gaps, and uncertainty factors
Recommendation record
Conditions, gaps, actors, and review trail preserved
Product concept preview
Manufacturing investment decision
This is an honest product-style mockup, not a live customer analysis.
Inputs
Decision statement
Should a manufacturer invest €1 million in predictive-maintenance infrastructure?
Key actors
COO, plant manager, finance lead, maintenance teams, line operators
Constraints
€1M capex ceiling, 18-month rollout, ERP integration, production downtime limits
Reasoning
Subproblems
Downtime reduction, sensor coverage, vendor fit, integration cost, adoption risk
Evidence
Maintenance logs, downtime history, vendor proposal, spare-parts spend, pilot-line data
Contradictions
Vendor savings estimate conflicts with internal downtime variance
Information gaps
Sensor reliability, union impact, installation schedule, model drift monitoring
Output
Recommendation
Proceed only with a staged pilot on two high-loss production lines
Change conditions
Reject if pilot uptime gain stays below 8% or integration cost exceeds plan by 20%
Confidence profile
Overall confidence: 68% — Moderate. Limited by sensor-reliability data, integration-cost uncertainty, and conflict between vendor projections and internal downtime records.
Illustrative confidence profile
Confidence is limited by incomplete pilot data, disagreement between internal records and vendor estimates, and uncertainty about integration cost.
Supporting evidence
61%
Contradicting evidence
26%
Unresolved uncertainty
13%
Decision
€1M predictive maintenance investment
Evidence
Maintenance logs + vendor proposal
Risk
Integration cost and production downtime
Recommendation
Stage-gated pilot before full rollout
The problem
Critical decisions need more than an answer
Ordinary AI responses can be useful for exploration, but high-value organizational decisions need inspectable structure.
Assumptions may remain hidden.
Evidence may not be traceable.
Contradictions may be overlooked.
Confidence may be misleading.
Decisions may be difficult to review later.
Stakeholder impact may not be explicit.
Every decision session gives you
Structured artifacts you can inspect, challenge, and preserve
The product is designed around observable decision behavior, not generic AI marketing claims.
Reasoning map
Understand how the decision was broken into connected questions and supporting logic.
Evidence trail
Connects each source and input to the conclusions it supports, challenges, or leaves unresolved.
Confidence explanation
Shows the calculated confidence score and the evidence, assumptions, contradictions, and information gaps influencing it.
Information gaps
Identifies missing inputs, weak evidence, unknown dependencies, and questions requiring further investigation.
Counterfactual scenarios
Tests how the recommendation changes when costs, timing, adoption, risks, constraints, or key assumptions change.
Stakeholder impact
Shows who makes, reviews, influences, and is affected by the decision—and where their priorities may conflict.
Recommendation conditions
States what would need to be true for the recommendation to hold, change, or be rejected.
Versioned decision record
Preserves the evidence, assumptions, changes, and review context as the decision evolves.
Engine and Studio
A reasoning engine and a workspace for analysts
Hexalveo separates the decision-reasoning layer from the human review workspace.
Hexalveo Engine
The reasoning engine
The reasoning engine that decomposes decisions, verifies evidence, models uncertainty, propagates confidence, and generates structured recommendations.
Explore the EngineHexalveo Studio
The analyst workspace
The visual workspace where analysts inspect reasoning graphs, add evidence, challenge assumptions, run scenarios, and prepare decision reports.
Explore the StudioHow Hexalveo differs
From chat output to inspectable decision model
Hexalveo generates and exposes its own structured reasoning artifacts. It does not claim to reveal an LLM's private chain of thought.
Generic AI assistant
Hexalveo
Produces an answer
Produces an inspectable decision model
Conversation-focused
Decision-session focused
Assumptions may remain implicit
Makes assumptions and constraints explicit
Evidence links may be incomplete
Connects evidence to claims
Often gives one confidence value
Shows a calculated confidence score with its supporting and limiting factors
Difficult to reproduce as a formal process
Maintains versioned reasoning artifacts
Focused use cases
Designed for complex, high-value business decisions
The initial homepage positioning focuses on commercial, operational, and technical decision workflows.
Technology investment
Capital allocation
Vendor evaluation
Market entry
Product strategy
Operational risk
Manufacturing investment
Public sector decisions
Design partners
Built with design partners, not behind closed doors
Hexalveo is currently in private MVP development. We are seeking a small number of organizations with complex decision workflows to help validate the product, domain models, and evaluation framework.