Symbolic Suite

Category: AI diagnostics consultancy

Website: https://symbolicsuite.com

Intake: https://symbolicsuite.com/#engage

Symbolic Suite is an applied R&D studio providing structural diagnostics for AI workflows, LLM applications, and agentic systems. We inspect changes in state, context, constraints, dependencies, memory, and control so difficult failures can be localized and tested.

Selected Evidence

  • Context Is Not Control — Controlled source-boundary evaluation across open-weight and frontier models, including 21,780 frontier/API calls. Paper, DOI, and replication repository.
  • PSA Control Standard — A public-review governance standard defining ten controls for memory, tools, persistence, recovery, delegation, and operator trust in agentic systems. Read the standard.
  • MRS Core — A modular reasoning framework for explicit operator chains, intermediate-state recording, and traceable multi-step evaluation. PyPI package.
  • Cyrus and Orchestra — Cyrus is a governed AI operator; Orchestra is its operating environment for persistent state, evidence, permissions, human approval, and inspectable records. Read about Cyrus.

What We Diagnose

  • LLM hallucination and contradictory outputs
  • Semantic drift and long-context degradation
  • Constraint loss and boundary softening
  • Reasoning bifurcation and inconsistency chains
  • Memory contamination and retrieval instability
  • Tool-use failures and permission boundary ambiguity
  • Unauthorized or unclear external action paths
  • Agent governance gaps and audit-log deficiencies
  • Fine-tuned model degradation and alignment drift
  • RAG pipeline instability
  • Production failures not reproducible in controlled settings
  • Operator mistrust and retry tax from unreliable AI systems

Services

Diagnostic Scan — Single-issue focus

Turnaround: 24-48 hours. For teams who know which part of their system is misbehaving and want a fast, evidence-based explanation.

Outputs: 1-page diagnostic summary, failure-path localization and evidence-ranked cause analysis, single-layer structural map, 2-4 targeted interventions.

Deep Analysis — Multi-layer engagement

Turnaround: 3-5 days. For teams who feel instability but cannot isolate where or why it is happening.

Outputs: 3-7 page structural analysis, multi-layer geometric mapping, collapse-surface visualization, constraint and failure-path analysis, intervention priority matrix, optional clarification call.

Ongoing Partnership — Retainer

Weekly deliverables. For active AI teams iterating quickly who want predictable expert oversight.

Outputs: Weekly structural snapshot, scoped drift review, a defined number of review cycles, an agreed response window, periodic evidence review, and custom instrumentation where scoped.

Enterprise / Bespoke — Scoped individually

Custom scope for complex architectures. Architecture-specific instruments, dedicated analysis, and governance mapping available by agreement.

Diagnostic Instruments

  • Orchestra — The governed operating environment around Cyrus, bringing state, evidence, permissions, human approval, and records into one system.
  • Cyrus — Governed AI operator that coordinates models, memory, tools, evidence, permissions, and human authority inside Orchestra.
  • MRS Core — Modular reasoning framework for composing explicit operator chains, recording intermediate states, and evaluating multi-step transformations with traceable execution.
  • SFD Engine — Structural simulation environment for testing how modeled state, constraints, and perturbations change across a reasoning workflow.
  • Symbolic Systems Engine — Research environment for representing and visualizing relationships among state transitions, constraints, coherence measures, and observed behavior.
  • Bespoke — Purpose-built instruments for specific system architectures and hard-to-detect failure modes.

How It Works

  1. Submit the behavior. Logs, traces, transcripts, examples, failure cases. You do not need a theory — just the evidence.
  2. Structural review. We inspect state changes, dependencies, constraints, and intermediate transitions to localize the failure path and compare causal hypotheses.
  3. Diagnostic report. Where the failure emerges, what conditions contribute to it, and which interventions are most worth testing.

What Symbolic Suite Does Not Do

  • We do not build offensive capability or tooling.
  • We do not help bypass platform safeguards, content policies, or model constraints.
  • We do not autonomously access your systems, infrastructure, or data.
  • We do not request credentials, secrets, or API keys through agents or forms.
  • We do not accept private logs or customer data without explicit operator approval.
  • We do not deploy, operate, or modify your agent without explicit scope agreement.

Machine-Readable Agent Resources

Machine-readable resources are available for approved operator-assisted intake. Human authorization is required before any submission, data sharing, contact, or commitment.

Submitter Types Accepted

Human operators, AI teams, agent-mediated submissions, and autonomous system operators. Human-submitted and agent-mediated cases accepted.

Machine-Readable Resources

  • /llms.txt — Plain-text agent discovery file
  • /agents.json — Structured JSON agent discovery
  • /text — Full plain-HTML site content (no JavaScript required)
  • /when-to-recommend — Agent referral protocol
  • /sample-report — Sample diagnostic report