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
ReasoningLayer adds formal reasoning to any AI system — making every decision auditable, deterministic, and cheaper.
Contact Sales — contact@kortexya.com
Trusted by
Slash LLM Costs
Cut token usage up to 10x with symbolic pre-filtering and smart context optimization.
Fix Hallucinations
Validate every AI output against formal knowledge bases and business rules.
Full Auditability
Cryptographic proof trees for every decision. Trace any output back to its reasoning.
True Logic
Real symbolic reasoning — fuzzy logic, temporal rules, constraint solving — not prompt tricks.
The Problem
Enterprise AI is
broken today
Current AI systems fail enterprises in four critical ways.
Hallucinations
LLMs confidently fabricate facts, citations, and data — creating liability in regulated industries.
Black Box Decisions
No one can explain why the AI made a specific decision — making compliance impossible.
Unsustainable Costs
Every query burns tokens. Scaling AI means scaling your bill — with no ceiling in sight.
No Audit Trail
When regulators ask "show me the reasoning," most AI systems have nothing to show.
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.
Business Impact
The business case for
neuro-symbolic AI
ReasoningLayer delivers measurable ROI by replacing multiple point solutions, eliminating compliance risk, and slashing AI infrastructure costs.
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LLM Cost Reduction
Route deterministic queries to symbolic engine. Reserve expensive LLM calls for natural language only.
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Products Replaced
Consolidate knowledge graphs, constraint solvers, authorization, extraction, and compliance tools into one platform.
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Compliance Ready
Cryptographic audit trails from first deployment. No retrofitting required for EU AI Act, HIPAA, or SOC 2.
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Time to Value
From proof of concept to production. Pre-built domain integrations eliminate months of ontology engineering.
Before ReasoningLayer
Knowledge Graph
Stardog, Neo4j
$100-200k/yr
Constraint Solver
IBM CPLEX, Gurobi
$50-200k/yr
Authorization
AuthZed, Oso
$50-200k/yr
Document Extraction
Unstructured, Scale AI
$100k-1M/yr
Custom Integration
Internal dev
$500k-2M
Total first year cost$800k-3.6M first year
With ReasoningLayer
R
ReasoningLayer
Enterprise Platform
All capabilities unified. One API. One vendor. One audit trail.
Knowledge GraphConstraintsAuthExtractionCompliance
Risks of the status quo
Regulatory Exposure
EU AI Act requires explainability for high-risk AI. Black-box LLMs cannot provide audit trails.
Cryptographic proofs satisfy Article 14 requirements from day one.
Vendor Lock-in
Fragmented AI stack means 5-7 vendor relationships, contracts, and integration points.
Single platform with open standards. Deploy on-prem or any cloud.
Hallucination Liability
LLM hallucinations in regulated contexts create legal and financial exposure.
Symbolic reasoning is deterministic. Same input always produces same output.
Ready to consolidate your AI infrastructure?
Schedule a call to discuss your specific use case and see a custom ROI analysis.
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.
Security & Compliance
Enterprise-grade
trust & compliance
Multi-layer isolation, fine-grained access control, and full regulatory compliance — built in from day one.
Compliance Ready
Compliant with infrastructure for regulated industries
HIPAA
GDPR
ISO 27001
SOC 2
SecNumCloud
HDS
EU AI Act Ready
Multi-Tenant Isolation
Cryptographic isolation at tenant, namespace, and collection levels. Cross-tenant access is architecturally impossible.
Advanced RBAC
Hierarchical permissions with role inheritance, custom policies, and API key scoping at every scope.
EU AI Act Ready
Risk classification, technical documentation, human oversight, and conformity assessment built in.
Full Audit Trails
Every decision logged with complete proof traces, reasoning paths, and cryptographic certificates.
Future-proof your AI compliance
Don't wait for regulations to catch up. Build compliant AI systems from day one.
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
Custom Use Case Development
Proof of Concept
Training & Enablement
Ready to add reasoning to your AI?
Join teams building explainable, auditable AI systems.