Enterprise — Private deployment of wave semantic memory and evidence-first RAG
Deploy the ψ-stack inside your infrastructure: wave-based semantic memory, evidence-first RAG, knowledge graph retrieval and governed reasoning for enterprise AI in high-error-cost domains.
Private deployment
Enterprise AI infrastructure
Data governance
Evidence-first RAG
Enterprise
Deploy the ψ-stack inside your infrastructure.
EvaCortex Lab Enterprise brings wave-based semantic memory, evidence-first retrieval and reasoning infrastructure into environments where data control, governance and precision are non-negotiable.
The full ψ-stack — EchoThesis, ResonanceDB, SenseMesh, ReasoningCore and domain-specific extensions — deploys within your own infrastructure, including private cloud, on-prem and air-gapped environments. Your data stays inside your perimeter while the stack delivers semantic search, knowledge graph retrieval, evidence assembly and governed reasoning workflows for LLM agents and enterprise AI systems.
Built for governed enterprise environments
The ψ-stack serves organisations that cannot rely on generic cloud AI infrastructure for critical knowledge workflows.
It is built for teams working with regulated data, sensitive intellectual property, medical and scientific corpora, financial records, compliance evidence, KYC materials, legal documents and other knowledge assets where retrieval quality and data governance must operate together.
EvaCortex Lab deploys the stack to match your infrastructure, security model and operational requirements — without forcing your data into an external SaaS environment.
Full-stack semantic infrastructure
Enterprise deployments can include the complete ψ-stack:
EchoThesis
Semantic encoding into wave-based representations.
ResonanceDB
Wave-based semantic memory and resonance retrieval.
SenseMesh
Evidence-first RAG, knowledge graph retrieval and context assembly.
ReasoningCore
Structured reasoning workflows with trace-first accountability.
Domain Packs
Specialised semantic models for genetics, pharma, compliance and KYC.
Together, these form a semantic AI infrastructure layer for systems that need meaning, evidence, provenance and control.
What the enterprise stack delivers
Wave-based semantic memory
Deploy a semantic memory layer built around wave-based representations rather than flat proximity alone. The stack preserves meaning-critical distinctions such as assertion vs negation, uncertainty vs evidence, causality vs association, and direct support vs peripheral context.
A stronger foundation for RAG, semantic search, agentic workflows and domain-specific reasoning.
Evidence-first retrieval
SenseMesh turns retrieval results into structured evidence context. It connects semantic recall, knowledge graph structure, ranking and evidence assembly so downstream LLM agents receive focused, traceable context instead of raw unfiltered chunks.
Critical in high-error-cost domains where a superficially similar fragment can still be semantically wrong.
Knowledge graph integration
The stack connects retrieved evidence to entities, relationships, timelines, claims and source records. Graph navigation adds structure around semantic retrieval, supporting multi-hop reasoning, relationship-aware search and traceable evidence paths.
Private reasoning workflows
ReasoningCore enables structured reasoning workflows over customer-managed data. The stack supports AI systems that operate within enterprise governance boundaries while preserving context, evidence and source traceability.
Designed for high-error-cost domains
Medical research
Retrieve biomedical evidence while preserving clinical context, uncertainty, mechanism, indication and adverse-effect direction.
Genetics
Support evidence retrieval where pathogenicity, evidence maturity and variant context remain clearly separated.
Pharma
Distinguish treatment signals, safety signals, interactions and clinical actions across complex biomedical corpora.
Compliance & KYC
Preserve entity identity, risk context, timelines and provenance across fragmented records with full traceability.
Legal & enterprise
Work with complex documents where claims, obligations, exceptions and supporting sources must remain connected.
Any precision-critical domain
Deploy wherever retrieval errors compound into reasoning failures and the cost of semantic confusion is regulatory, clinical, financial or operational.
Data control and governance
The ψ-stack is built for environments where control over data location, access, auditability and operational boundaries matters.
Customer-managed deployment
The stack runs inside your approved infrastructure: on-prem, private cloud, private VPC or air-gapped environments. Data, indexes, semantic memory and retrieval flows remain under your operational control.
Data residency
Deployments align with jurisdictional and organisational requirements for data location, environment separation and internal governance policies.
Encryption & identity
The stack integrates with enterprise identity, access control, encryption and key management practices, including customer-managed keys where required.
Auditability
Retrieval and reasoning flows can be logged and inspected. Teams trace which evidence was retrieved, how context was assembled and which sources supported downstream reasoning.
Compliance alignment
EvaCortex Lab works with customer security, compliance and platform teams to align deployment architecture with internal policies and applicable regulatory frameworks.
Explainable AI
Wave-based retrieval and trace-first reasoning produce outputs that can be inspected end to end — from source evidence through context assembly to final reasoning steps.
Integration and implementation
The ψ-stack is a semantic infrastructure layer that integrates into your data, tools and governance model. EvaCortex Lab supports the full implementation cycle:
Assessment
Technical assessment and architecture design
Integration
Infrastructure planning, data and system integration
Deployment
Deployment, validation and observability setup
Collaboration
Rollout support and ongoing technical partnership
The goal is a stable, private and explainable semantic layer that becomes part of your AI infrastructure.
Enterprise integrations
The ψ-stack integrates with existing enterprise systems and workflows:
Data & knowledge
Data warehouses, document stores, knowledge graphs and domain-specific knowledge bases.
Search & RAG
Search platforms, RAG pipelines, internal APIs and existing retrieval infrastructure.
Security & ops
Identity and access management, monitoring, logging and incident response systems.
Domain Packs can be adapted to proprietary vocabularies, ontologies, taxonomies and internal evidence models.
Why the ψ-stack
Most enterprise AI systems struggle at the same point: they retrieve text, but fail to reliably preserve meaning, evidence and context across complex knowledge workflows.
The ψ-stack addresses this with a governed semantic infrastructure layer:
- wave-based semantic memory for precise recall;
- knowledge graph structure for connected evidence;
- evidence-first retrieval for grounded RAG;
- reasoning workflows that preserve traceability;
- deployment inside your own perimeter.
This gives organisations a path to advanced AI reasoning without giving up control over data, infrastructure or governance.
Bring wave-based semantic memory and evidence-first reasoning infrastructure into your enterprise environment.