Deterministic Arbitration Infrastructure for Sovereign Institutions
AWS-First Governance Infrastructure
CMIS is the control plane between human intent and model output. It does not score after the fact. It intervenes before generation, enforces policy constraints, and records immutable provenance.
Designed for Nevada workforce systems, higher education institutions, and compliance-critical operations where sovereignty, traceability, and deterministic outcomes are non-negotiable.
System Positioning
CMIS is intentionally tiered to match deployment maturity: institutional operations, premium explainability, and frontier semantic governance research.
Production-grade deterministic arbitration for sovereign institutions that require enforceable policy boundaries and verifiable decision chains.
Core capabilities plus explicit governance state, trajectory, and alignment diagnostics for compliance and oversight teams.
Advanced semantic field and multi-agent alignment analysis for research collaborations and strategic institutional pilots.
Product Catalog
Start with a free Proof of Value, then move into Core for real-time governance, Phase for policy traceability, or Singular for advanced research partnerships.
Free 10-day benchmark
A limited responsible AI governance benchmark using representative prompts from the institution. CMIS returns a private report showing what would be approved, refined, blocked, or elevated.
$5K pilot target / $2K-$5K monthly production target
Production-facing AWS-hosted governance runtime that sits between users and external AI providers, enforcing approve/refine/block decisions before generation.
$12K pilot target / $35K-$60K annual target
Extends Core with operator traces, policy-sensitive interpretation, and decision-record packaging for institutions that need audit-ready review material.
$50K+ strategic R&D target
Research-only package for advanced governance experiments, felt-time modeling, cross-combination policy analysis, and strategic co-development.
Institutional Signal
Public Research Footprint
Symbiotic AI research is backed by public notebook, dataset, model, API, and competition activity. The current Kaggle profile shows a multi-year reproducibility path rather than a one-off demo.
Public notebooks are created locally, uploaded through the Kaggle API, and linked back to the project repository for external review.
Prior competition and code-submission activity supports the same reproducible-bundle discipline used for CMIS and felt-time benchmarks.
Kaggle dataset work includes API-created datasets and a documented dataset with a perfect usability rating.
Model Hub activity demonstrates hands-on use of notebooks, models, and competition workflows across the public Kaggle ecosystem.
Deployment Focus
The platform is structured for real institutional operations, not generic chatbot deployment.
CMIS Core supports workforce guidance and institutional policy enforcement with deterministic intervention and immutable governance traceability.
View Nevada Workforce Case StudyInstitutions can govern advising and policy-sensitive workflows while preserving local sovereignty and evidence-grade accountability.
View Higher Education PositioningGovernance Workforce
Three coordinated personas reinforce strategic reasoning, deterministic sentry behavior, and interoperable governance memory.
Executive Intelligence Layer
Amazon Nova Pro with LoRA augmentation for strategic, policy-sensitive reasoning depth.
Deterministic Sentry Layer
Constraint enforcement and risk interception before model execution for safety-critical prompts.
Interoperable Memory Layer
AWS-native semantic synchronization and cross-operation reasoning trace continuity.
Evidence Layer
Benchmarks demonstrate decision consistency, refusal correctness, and trace completeness under controlled institutional constraints.
Repeated evaluation paths produce stable governance outcomes with deterministic policy checks.
Out-of-scope and unsafe requests are blocked with explicit logic and structured refusal reasoning.
Each decision captures governance score path, decision status, and immutable provenance metadata.
Leadership Team
Symbiotic AI operates with coordinated leadership across people, architecture, learning, operations, and software systems.
Chief People Officer (Maestra en Direccion del Capital Humano). Leads team structure, role clarity, and performance culture.
System Architecture Lead (Professional Architect). Leads structural architecture and end-to-end system organization for scalable deployments.
Education and Learning Specialist (Pedagogo). Leads training design, institutional learning, and governance adoption workflows.
Founder, Systems and Software Architect (Lead). Leads CMIS architecture, governance runtime, and technical execution.
Director of Operations / Musical Director. Leads operational cadence, cross-functional coordination, and execution rhythm.
Next Engagement Step
Use CMIS Core for operational rollout, CMIS Phase for auditor-grade explainability, and CMIS Singular for frontier semantic governance research.