DeciSym.ai: Secure, Semantic Intelligence for Mission-Critical Decision-Making

DeciSym.ai is a cutting-edge AI framework engineered to unify fragmented, siloed datasets into trusted, semantically enriched models using open standards like OWL and RDF. Designed for high-assurance environments such as classified enclaves, secure edge deployments, and tactical systems, it empowers analysts, integrators, and decision-makers with a lightweight, infrastructure-free triple store engine that enables real-time querying, machine reasoning, and federated data access—without requiring persistent databases or cloud connectivity. Its LLM-aware architecture minimizes hallucination and enhances AI decision quality, while modular, interoperable components ensure flexibility across on-premises, SCIF, and air-gapped setups. Built on principles of visibility, trustworthiness, and security, DeciSym.ai transforms raw data into reusable, actionable insights across domains and teams.

Key Features:

• Semantic Data Unification: Transforms disjointed datasets into cohesive, meaning-rich models using OWL and RDF standards.
• Encrypted Data Packaging: Creates secure, compressed DeciSym Data Packages (.ddp) with metadata and semantic context.
• Lightweight Triple Store Engine: Runs without persistent infrastructure or databases; ideal for edge, cloudless, and air-gapped environments.
• LLM-Aware Architecture: Enhances AI decision quality by reducing hallucination through semantic grounding.
• Federated Querying: Enables querying of distributed data sources across domains without centralization.
• Cross-Domain Filtering & Reasoning: Supports intelligent data correlation and inference across diverse information silos.
• Ontology-as-a-Service: Provides tools for designing and aligning ontologies with OWL-compliant standards.
• No ETL Required: Data packages are instantly queryable with no manual normalization or transformation steps.
• Secure, Portable Deployment: Runs in SCIFs, field kits, HPC clusters, and tactical systems with zero infrastructure assumptions.
• SPARQL & Inference Queries: Offers CLI-based querying and reasoning directly from encrypted RDF artifacts.
• Interoperable & Future-Proof: Built on open standards to prevent vendor lock-in and ensure long-term compatibility.
• Supports High-Assurance Environments: Optimized for government, defense, and scientific R&D with rigorous security and compliance.

Pricing: DeciSym.ai offers a Free Tier for community access and testing, a Professional Tier for production workloads with SLA-backed support and private issue tracking, and an Enterprise Tier for full deployment assistance, custom features, secure enclaves, and direct engineering access—making it accessible to a wide range of users while supporting mission-critical needs.

Conclusion: DeciSym.ai stands out as a powerful, secure, and standards-driven semantic AI framework that enables trusted, real-time decision-making in the most demanding environments—ideal for organizations where data integrity, interoperability, and autonomy are paramount.