Constraint Solver
Scheduling, resource allocation, portfolio optimization, solved declaratively. Define constraints like AllDifferent, Sum, or custom rules. Get optimal solutions without writing algorithms.
Neuro-Symbolic AI
The reasoning layer
your AI is missing
LLMs generate. ReasoningLayer proves. Explore how neuro-symbolic AI delivers the reliability enterprises demand.
Cost Reduction
Slash LLM costs dramatically
Most AI queries don't need an LLM. Route deterministic reasoning to the symbolic engine. Reserve LLMs for what they're good at: natural language.
Smart Context Engineering
Domain-aware prompt optimization
Stop stuffing prompts blindly. Your domain knowledge knows what's relevant. Automatically inject the right context (entity relationships, business rules, constraints) based on the user's intent. No more token waste, no more missed context.
- Intent-driven context selection
- Automatic entity & relationship injection
- Token-efficient prompt construction
- Dynamic context based on conversation state
Domain Integrations
Pre-built, not DIY
Start reasoning over standard knowledge immediately. BioPortal gives you 1000+ medical ontologies. MITRE ATT&CK maps your security data. NVD grounds your vulnerability management. Regulatory frameworks for compliance.
- BioPortal: SNOMED-CT, ICD-10, RxNorm, DrugBank
- Security: MITRE ATT&CK, NVD, CVE
- Pharma: CTD (Comparative Toxicogenomics)
- Regulatory: EU AI Act, Basel III/IV frameworks
Effect Prediction
Bayesian evidence merging
Discover causal effects from temporal data. Merge evidence across sources with Bayesian reasoning. Predict outcomes with confidence intervals and uncertainty quantification. Not correlation, causation.
- Effect discovery on time series
- Bayesian evidence merging across sources
- Confidence intervals on predictions
- Causal reasoning, not just correlation
Constraint Solver
Optimization without algorithms
Scheduling, resource allocation, portfolio optimization: declare your constraints and get solutions. AllDifferent, Sum, XSum, and custom constraints. The engine finds optimal solutions; you define what optimal means.
- AllDifferent, Sum, XSum constraint types
- Multi-objective optimization
- Real-time constraint satisfaction
- Every solution includes a proof of optimality
Reliability
Deterministic, not probabilistic
Same input always produces the same output. Constraint solver guarantees optimal solutions. Temporal reasoning handles causality. Zero hallucinations by design.
Knowledge-Grounded Agents
Agents that reason, not hallucinate
LLM agents are powerful but prone to hallucination. Ground your agents in a formal knowledge base, they can only assert facts that exist in your ontology, with full provenance and audit trails.
- Agents constrained to verified knowledge
- Every claim traceable to source data
- Automatic hallucination detection
- Graceful handling of knowledge gaps
Graceful Incompleteness
Residuation engine
What happens when data is incomplete? Traditional systems fail. ReasoningLayer suspends reasoning automatically and resumes when new information arrives. No manual orchestration needed.
- Automatic suspension on incomplete data
- Transparent resumption when data arrives
- No failures, no manual orchestration
- Goal suspension via residuation
Type-Safe Inference
Catch errors at design time
Our rich type system with multiple inheritance catches entire classes of errors before they reach production. Type constraints are enforced at inference time, invalid states are literally impossible. No more runtime surprises from malformed data.
- Static type checking on knowledge base
- Multiple inheritance type hierarchies
- Compile-time constraint validation
- Invalid states are unrepresentable
Zanzibar Authorization
Google-scale access control
The same authorization model that powers Google Drive, YouTube, and Cloud IAM. Relationship-based access control, not just roles. Multi-tenant isolation. Check permissions in milliseconds with a full explanation.
- Relation tuples: user:alice owns doc:budget
- Computed relations with inheritance
- Check & Expand: verify and explain access
- Cryptographic multi-tenant isolation
Trust & Compliance
Cryptographic proof of every decision
Merkle-signed validity certificates for regulators. Not just audit logs, mathematical proof that decisions followed your rules. EU AI Act Article 14 ready.
Cryptographic Proofs
Merkle-signed validity certificates
Every inference produces a cryptographic validity certificate. Not just audit logs, mathematical proof that decisions followed your rules. A tamper-proof proof chain for regulators, auditors, and litigation.
- Merkle-signed decision certificates
- Tamper-proof proof chains
- EU AI Act Article 14 compliance
- Export for regulatory submission
Policy-Driven Guardrails
Enterprise rules, enforced by logic
Define your enterprise policies as formal constraints, what can be said, what data can be accessed, what actions are allowed. Your knowledge base enforces them at inference time. Not heuristics. Not filters. Provable policy compliance.
- Formal policy specification language
- Real-time constraint validation
- Role-based access control on knowledge
- Audit trail for every policy decision
Fuzzy Logic Engine
Uncertainty quantification
Real-world data is messy. T-norms, degrees of membership, and fuzzy GLB computation handle uncertainty gracefully. Confidence scores on every inference. Partial matches with degrees of truth.
- T-norms and membership functions
- Fuzzy GLB (Greatest Lower Bound)
- Confidence scores on inferences
- Partial matches with degrees of truth
Temporal Reasoning
Allen interval algebra, built in
Reason over events, durations, sequences, and causality. Track how facts evolve over time, when they expire, and how they relate. Plan with temporal constraints. Reconstruct attack chains for security.
- All 13 Allen interval relations, native
- Event sequences and causality chains
- Temporal planning and scheduling
- Facts that evolve and expire over time
What makes it different
Real reasoning,
not just predictions
The capabilities that turn an LLM that guesses into a system that reasons, handling uncertainty, time, and hard constraints, and proving every answer.
Cryptographic Proofs
Every inference produces a Merkle-signed validity certificate. Mathematical proof of correctness for regulators. Not just logs, cryptographic guarantees that decisions are traceable and tamper-proof.
Domain-Ready Ontologies
Pre-built integrations with BioPortal (medical), MITRE ATT&CK (security), NVD (vulnerabilities), and regulatory frameworks. Start reasoning over industry-standard knowledge immediately.
Effect Prediction
Discover causal effects from time-series data. Bayesian merging of evidence across sources. Predict outcomes with confidence intervals and uncertainty quantification.
Temporal Reasoning
Native support for time-aware inference. Reason about events, durations, sequences, and causality. Track how facts evolve and expire over time.
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.
Residuation Engine
Automatic suspension when data is incomplete. Reasoning resumes seamlessly as new information arrives. No manual orchestration needed.
Enterprise Authorization
Google Zanzibar-style authorization built-in. Multi-tenant isolation, hierarchical RBAC, relationship-based access control. Production-ready for regulated industries.
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.
Ready to stop hallucinating?
Join teams building the next generation of AI agents that reason.