Foundation
ExploreAutomatic Ontologies
Turning policies, SOPs, API schemas, workflow logs, and evaluated agent traces into explicit, versioned rule layers.
Research
The technical foundation behind evidence-aware write safety.
Rippletide started as deep research and still runs on it. This page gathers the technical work underneath every risk review, Safety Case, and decision preview.
Long-term direction
Runtime Reinforcement
Rippletide's long-term product direction is Runtime Reinforcement: using guarded actions, approvals, blocks, corrections, and traces to suggest stronger explicit policies over time. Enforcement remains deterministic, auditable, and human-governed: the system proposes guard improvements and regression scenarios, humans accept, edit, or reject them.
- Deterministic rule evaluation, not probabilistic generation
- Every decision traceable to data, rule, outcome, and reason
- Guard improvements proposed by the system, approved by humans
Foundation
ExploreContext Graph for Agents
The hypergraph decision database that combines memory (facts, context, provenance) with reasoning (plans, rules, constraints).
Foundation
ExploreAI Agent Evaluation
Evaluating agent behavior against ground-truth outcomes, the discipline underneath unsafe scenario testing.
Deep explainers
The thinking, page by page
Long-form technical pages written along the research. They use the research vocabulary and go deeper than the product pages.
Also see the whitepaper and The Decision Layer podcast.
- Agent Decision Infrastructure: Why agent actions need a decision layer between proposal and execution.
- AI Agent Auditability: What a causal decision trace must contain to satisfy a review.
- AI Agent Governance: The governance questions enterprises ask before agents act.
- AI Agent Reliability: Why task accuracy alone does not make an agent production-safe.
- Monitoring vs Pre-Execution Enforcement: The difference between observing failures and preventing them.
- Guardrails vs Decision Runtime: Where prompt guardrails stop and action-level decisions begin.
Looking for the product?
The research above is packaged into Safety Packs: risky write-actions, evidence checks, approval rules, unsafe scenarios, and audit traces, proven on your agent in 10 working days.