Our Technology

Cerberus is our vender-agnostic protective layer, which acts as an external gatekeeper and firewall in the sensitive context of large-scale enterprise AI usage.

Cerberus ensures data security by dynamically optimizing a broad range of privacy protocols and strategies across every AI interaction – notably including pseudonymization, redaction, split inference and data sharding (OLDSP), decoy branching, and human-in-the-loop safeguarding. Cerberus further enables fine-grained AI governance and analytics, supporting modules across schema and ontological validation, fact verification, attribution logging, reasoning and behavioral enforcement, and more.

The result is critical security infrastructure, designed to keep enterprise operations secure, compliant, and private in the face of broad AI usage.

Metamorph is our intelligent pipeline for transforming unstructured, heterogeneous content into structured, machine-readable knowledge.

It ingests raw documents from diverse sources, applies advanced cleaning and NLP methods, and leverages LLMs to extract structured rules in JSON format. Extracted rules are mapped to RDF/OWL triples using ontology templates, built into a knowledge store, and formally validated for conflicts, completeness, and structural integrity using SHACL constraints.

The outcome is a high-fidelity, queryable knowledge base—ready to enable compliance, automation, and AI integration.

Provenance is our cryptographically anchored data lineage and integrity layer, ensuring every step in a data pipeline is verifiable, traceable, and tamper-proof.

By validating inputs, hashing and linking transformations, and anchoring outputs to public blockchains, we create a comprehensively auditable chain of trust from source to output. Our modular architecture supports scalable batching, efficient archival, and zero-knowledge verification through linked RDF graphs, digital signatures, and Merkle proofs.

Provenance builds high-trust data pipelines that remain secure, transparent, and independently verifiable at every stage.

Nexus is the semantic backbone of the Atalante system – a live, dynamic knowledge graph which unifies, validates, and contextualizes enterprise knowledge with built-in provenance and governance.

Nexus supports modular and extensible ontologies, advanced SPARQL-based querying and natural language access via locally-run, lightweight LLM interfaces – enabling OWL2 reasoning, dynamic inference, and context-aware operations through Graph-RAG integration. Nexus captures not only what is known, but how it is known, how trustworthy it is, and how it evolves – with every knowledge unit carrying its own provenance, trust and freshness indicators, and transformation history.

Nexus empowers intelligent decision-making and enables knowledge-rich automation across the enterprise – in a manner which is inherently traceable, explainable, and governable.

Forge empowers decision-makers to visualize, validate, and control how organizational knowledge is structured, how it evolves, and how it interacts with enterprise operations.

Forge is Atalante’s semantic evolution engine, transforming Nexus from a static knowledge repository into a living, adaptable, and interactive enterprise governance layer. It dynamically curates, validates, and evolves knowledge structures using a hybrid pipeline of pattern mining, SHACL/OWL-based validation, and LLM-assisted inference – all governed by strict provenance, human oversight, and version control. Forge detects semantic conflicts, proposes ontology extensions, and seamlessly integrates approved updates directly into the live knowledge graph, ensuring AI and automation systems remain current, compliant, and contextually-aligned. Forge enables decision-makers to visualize, build, and maintain Nexus connections across their operations, as nerve endings within the Atalante system – tracing the downstream effects of any knowledge change, seeing where knowledge connects to workflows, and managing operational integrations directly.

Forge is designed to enable next-gen governance of enterprise knowledge and of knowledge-based automation.