Fuzzy Logic Engine
Non-rigid reasoning that handles uncertainty, partial matches, and degrees of truth. Real-world data is messy—your reasoning engine should handle that gracefully.
Neuro-Symbolic AI Platform
The ReasoningBackbone
The reasoning layer that makes enterprise AI trustworthy, auditable, and cost-effective.
💰Slash LLM Costs
🛡️Trustworthy AI
🎯Fix Hallucinations
📋Full Auditability
🧠True Logic Reasoning
⏱️Temporal Reasoning
🌊Fuzzy Logic
✨Smart Context Optimization
Early Access
Get early access to
ReasoningLayer
Join the waitlist to be among the first to build with enterprise-grade neuro-symbolic AI.
Real-World Applications
Power your AI
with true intelligence
From recommendation engines to intelligent agents, ReasoningLayer transforms how you build AI systems with your own data and domain knowledge.
Transform Your Data Into
Actionable Insights
Your enterprise data holds untapped potential. ReasoningLayer's neuro-symbolic engine connects the dots across your entire data landscape—surfacing insights that pure ML models miss, with full explainability and audit trails your stakeholders can trust.
10x
Faster insight discovery
100%
Explainable decisions
Zero
Black box reasoning
Recommendation Engine
Based on YOUR data
Build powerful recommendation systems that understand your domain semantics. Unlike black-box ML models, every recommendation is explainable and traceable back to your ontology and business rules.
- Semantic matching beyond simple vectors
- Explainable recommendations with proof traces
- Real-time personalization with constraint satisfaction
- Combine user preferences with business rules
Hidden Insights & Weak Signals
Discover what others miss
Surface patterns and correlations that traditional analytics miss. Fuzzy logic and temporal reasoning help you detect early warning signals and emerging trends before they become obvious.
- Detect weak signals across disparate data sources
- Temporal pattern recognition for emerging trends
- Fuzzy matching for approximate relationships
- Cross-domain inference for unexpected connections
Smart MCP Tools
Ontology-driven intelligence
Generate intelligent MCP tools automatically from your ontologies. Tools understand domain semantics, validate inputs against your schema, and provide contextual assistance to LLM agents.
- Auto-generate tools from ontology definitions
- Type-safe inputs validated against your domain model
- Semantic tool discovery and selection
- Rich tool descriptions for better LLM understanding
Multi-Agent Orchestration
Driven by your ontology
Coordinate multiple AI agents using your domain ontology as the orchestration layer. Define agent roles, capabilities, and interaction protocols declaratively. The engine handles routing, conflict resolution, and consensus.
- Declarative agent roles and capabilities
- Ontology-based task routing and delegation
- Automatic conflict resolution between agents
- Shared knowledge base with access control
Applications
Built for
enterprise AI
Healthcare
Clinical Decision Support
Explainable diagnosis with full audit trails for medical compliance.
Finance
Fraud Detection
Real-time analysis with auditable rule chains and pattern matching.
Legal
Contract Analysis
Automated compliance checking against regulatory frameworks.
Security
Access Control
Dynamic RBAC with policy inheritance and conflict resolution.
Manufacturing
Quality Assurance
Constraint-based defect detection with traceable decisions.
Research
Knowledge Graphs
Semantic reasoning over complex ontologies with LLM integration.
Why ReasoningLayer
Beyond traditional
neuro-symbolic systems
Most symbolic AI systems are rigid, hard to scale, and lack enterprise-grade security. ReasoningLayer changes everything.
Temporal Reasoning
Native support for time-aware inference. Reason about events, durations, sequences, and causality. Track how facts evolve and expire over time.
Formal Proof Trees
Every inference produces a verifiable proof tree. Mathematical guarantees for correctness. Export proofs for regulatory compliance and audit trails.
Truly Scalable
Unlike classical Semantic Web stacks, ReasoningLayer scales horizontally. On-premise or SaaS deployment. Handle millions of rules without performance degradation.
Auto-Modeling Ontologies
LLM-assisted ontology generation from your data with human curation when needed. No PhD in knowledge engineering required—we help you build your domain model.
Algorithm Resolution
Solve complex constraint problems by declaring rules, not writing algorithms. Scheduling, planning, optimization—let the engine find solutions automatically.
Residuation Engine
Automatic suspension when data is incomplete. Reasoning resumes seamlessly as new information arrives. No manual orchestration needed.
Flexible Deployment
Your infrastructure, your rules. Deploy on-premise for full data sovereignty, or use our managed SaaS. Air-gapped installations available for sensitive environments.
Neural-Symbolic Bridge
Best of both worlds: LLMs handle natural language and ambiguity, symbolic engine ensures correctness and explainability. Each does what it does best.
Enterprise Security
Security-first
by design
Multi-layer isolation, fine-grained access control, and compliance-ready infrastructure for the most demanding enterprise environments.
Multi-Layer Segmentation
Complete data isolation at every level
Tenant
Organization-level isolation
Namespace
Project/team boundaries
Collection
Fine-grained data groups
Each layer provides cryptographic isolation. Cross-tenant data access is architecturally impossible.
Advanced RBAC
Granular permissions at every scope
Role Inheritance
Hierarchical permissions from tenant to collection
Custom Policies
Define rules based on attributes, time, location
Audit Logging
Complete trail of all access and modifications
API Key Scoping
Restrict keys to specific namespaces/collections
Compliance Ready
Compliant with infrastructure for regulated industries
HIPAA
GDPR
ISO 27001
SOC 2
SecNumCloud
HDS
Architecture
LLMs for interface
Pure logic for inference
LLMs handle data ingestion and natural language dialogue. The reasoning engine runs independently—call it directly via REST API, MCP, or through a conversational interface.
LLM Layer
(Optional)Data Ingestion
Auto-modeling ontologies from documents, extracting entities and relationships
Conversational Interface
Natural language queries, constraint modeling from plain text
Structured
queries
queries
Reasoning Engine
(Core)Pure Symbolic Inference
Deterministic, auditable, mathematically provable results
Direct API Access
REST API, MCP protocol, or SDK—no LLM required
Choose your LLM strategy
For ingestion & dialogue only—inference is always deterministic
Cloud Providers
Best for ingestion & complex dialogue
OpenAIAnthropicMistral AIGoogle AIAzure OpenAI
Self-Hosted
Your infrastructure - Full control
OllamavLLMllama.cppLlama 3MistralPhi-3
Recommended
Managed EU SaaS
We select & host the best SLM for you
We benchmark and select the optimal SLM for your use case, hosted on our secure European infrastructure.
GDPR CompliantEU HostedSecNumCloudTurnkey
Privacy by Design
Your data never leaves your infrastructure. Self-hosted LLMs + local reasoning = zero data exposure.
Run on Any Device
From Raspberry Pi to smartphones to browsers. Full offline capability with embedded reasoning.
Slash AI Costs
LLM only for ingestion & dialogue. Inference is pure logic—no per-token costs, unlimited queries.
Deploy Anywhere
SLMs for natural language interface, native reasoning engine for inference. Works fully offline on constrained devices.
MobileiOS/Android
DesktopMac/Win/Linux
BrowserWASM
RPiIoT/Edge
CloudScale out
🔌
REST API
Direct integration, any language
🤖
MCP Protocol
For AI agents & assistants
💬
Conversational
Natural language via LLM/SLM
Integrations
Enterprise
ready
Authentication
OIDCSAML 2.0LDAPAzure ADOkta
Enterprise Apps
Microsoft 365Google WorkspaceSlackSalesforceSAP
Data Sources
PostgreSQLMongoDBS3ElasticsearchREST APIs
See it in action
Multiple ways to
integrate & interact
Whether you prefer direct API calls, MCP integration with AI agents, or SDK queries—ReasoningLayer fits seamlessly into your stack. Every response includes full proof traces.
SDK Integration
TypeScript, Python, Rust SDKs available
// Define a medical diagnosis query
reasoning.query({
patient: {
symptoms: ["fever", "cough", "fatigue"],
history: ["diabetes"],
vitals: { temp: 38.5, bp: "120/80" }
},
confidence_threshold: 0.85,
explain: true
})REST API
Direct integration from any language
POST
/v1/infercurl -X POST https://api.reasoninglayer.com/v1/infer \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"tenant": "acme-corp",
"namespace": "medical",
"query": {
"type": "diagnosis",
"patient": {
"symptoms": ["fever", "cough"],
"age": 45
}
},
"options": {
"explain": true,
"max_depth": 10
}
}'OpenAPI 3.0JSON responses< 50ms latencyWebhook support
MCP Protocol
Native integration with AI agents
MCP
Model Context Protocol// MCP Tool auto-generated from ontology
{
"name": "reasoning_query",
"description": "Execute semantic reasoning
over the knowledge base",
"inputSchema": {
"type": "object",
"properties": {
"domain": {
"type": "string",
"enum": ["medical", "legal", "finance"]
},
"query": { "type": "string" },
"explain": { "type": "boolean" }
}
}
}Claude compatibleGPT compatibleAuto-generated toolsStreaming
🔐
Secure by Default
API keys scoped to namespaces, encrypted in transit
📊
Full Observability
Latency metrics, usage analytics, error tracking
🔄
Versioned APIs
Backward compatible, smooth migrations
📋
Audit Everything
Every call logged with full proof traces
Platform Statistics
100%
Reasoning Accuracy with guarantees
<50ms
Inference Latency
100%
Explainable
Zero
Black Box Reasoning
Enterprise Program
We help you
integrate & succeed
Every enterprise is unique. Our team works alongside yours to design, implement, and optimize ReasoningLayer for your specific use cases—from proof of concept to production at scale.
Architecture Design
We analyze your existing stack and design the optimal integration architecture
Custom Use Case Development
Co-develop domain-specific ontologies and reasoning rules tailored to your business
Proof of Concept
Free 2-week PoC to demonstrate value on your actual data and workflows
Training & Enablement
Hands-on workshops to get your team productive with neuro-symbolic AI
contact@kortexya.com
Ready to add reasoning
to your AI?
Join teams building explainable, auditable AI systems.
contact@kortexya.com