Evidence architecture for the physical world
Insert-only evidence accumulation
Every observation from every sensor on every physical system is permanently recorded. No updates, no deletions. This is not a storage decision. It is the architectural commitment that makes everything else possible. The evidence record is always complete, always trustworthy, always traceable.
This evidence layer applies to any domain. The same storage architecture, identity separation, and time integrity mechanisms work for machines, buildings, power grids, and environmental systems. Only the interpretation layer above it changes per domain.
Baseline Established
System's own operating parameters learned from observation
Continuous Observation
Ongoing evidence accumulation against baseline built from its own history
Deviation Detected
Meaningful change identified and classified against earned baseline
Evidence-Grounded Assessment
Change evaluated against full operational history with traceable assessments
Domain-specific understanding
The interpretation layer sits above the universal evidence layer. It is domain-specific and swappable. A 'regime' for machines equals a 'phase' for bioreactors equals a 'mode' for power plants. The concepts are the same. Only the vocabulary and thresholds adapt.
Every system is compared to baselines built from its own operational history, not universal thresholds. Deviations are meaningful because the baseline is earned from real observation of that specific system.
Knowledge progresses through maturity levels: from physics-based assumptions, to patterns observed in the field, to outcomes confirmed through real interventions. Claims are labeled by the level of knowledge that produced them.
Knowledge that compounds over decades
Most systems are stateless or maintain only recent context. For physical infrastructure, this is a critical failure. A bridge with no memory of its load history, a turbine with no record of its vibration patterns, an HVAC system with no baseline. These systems are perpetually starting from zero.
Aletheon builds memory architectures where every system accumulates its own operational history. Baselines evolve as evidence accumulates. Patterns emerge across maintenance cycles, seasonal variations, and operational regimes. The longer the system runs, the more valuable the evidence becomes. Every deployment adds to a proprietary evidence dataset that cannot be reconstructed or purchased.
Active Evidence
Current observations and operational context
Long-Term Memory
Complete operational history and earned baselines
Grounded Analysis
Assessments backed by full evidence chain
Technical principles
Permanent Evidence
Insert-only evidence tables. No updates, no deletions. Evidence integrity is the product. Corrupting it is an unrecoverable failure.
Operational Reliability
Designed for continuous operation across years. Systems must outlive teams, vendors, and software generations.
Traceable Outputs
Every claim traces to specific evidence IDs, feature computations, and time windows. No black-box predictions.
Domain Portability
The evidence layer is universal. The interpretation layer is swappable per domain. Architecture decisions are evaluated against this multi-domain ambition.
Building evidence infrastructure?
We work with organizations where evidence integrity matters, where physical systems outlive teams and where the cost of lost context compounds over decades.