Hybrid AI Solutions : Combine the Best of Rule-Based & Machine Learning Systems
Bridge deterministic logic with adaptive intelligence for robust, explainable, and high-performance AI applications with our enterprise-grade hybrid AI solutions.
Rule-Based + ML System Integration 
Knowledge Graph-Enhanced AI - Hybrid Recommendation Engines
- Explainable AI (XAI) Development
- Human-in-the-Loop AI Systems
- Custom Hybrid Architecture Design
Rule-Based + ML System Integration 
Knowledge Graph-Enhanced AI 
Hybrid Recommendation Engines 
Explainable AI (XAI) Development 
Human-in-the-Loop AI Systems 
Custom Hybrid Architecture Design 
Stuck Choosing Between Predictability and Adaptability?
Pure machine learning acts as a "black box" risking compliance failures, while rigid rule-based systems can't handle real-world complexity.78% of enterprises report AI trust issues causing delayed deployments.
OrangeMantra’s hybrid AI solutions blend rules with machine learning—delivering 90%+ accuracy with full audit trails and regulatory compliance.
Our Reputed Clients
Blending Symbolic and Neural AI for Smarter Systems
We design hybrid AI solutions that think and learn—blending symbolic logic with modern neural networks, enriched by graph-based intelligence using Neo4j.
- 50% faster regulatory approval
- 40% higher model accuracy in edge cases
- 100% auditability for GDPR/HIPAA compliance
End-to-End Hybrid AI Services
Strategic combinations of rules, ML, and human oversight tailored to your risk/innovation balance.
Rule-Based + ML Integration
Hard-code compliance boundaries while letting ML optimize within them.
Prevents 99% of regulatory violations in financial AI systems.
Knowledge Graph-Enhanced AI
Inject domain ontologies into neural networks for contextual reasoning.
Boosts medical diagnosis accuracy by 35% compared to pure ML models.
Hybrid Recommendation Engines
Blend collaborative filtering with business rules for compliant personalization.
Achieves 25% higher conversions while avoiding risky suggestions.
Explainable AI (XAI) Development
Build self-documenting models with SHAP/LIME interpretability layers.
Accelerates regulatory approvals in pharma and banking sectors.
Human-in-the-Loop Systems
Design workflows where AI handles 80% of cases and escalates the rest.
Cuts operational costs by 60% while maintaining 100% accuracy on critical decisions.
Custom Hybrid Architecture Design
Create novel frameworks like neuro-symbolic integration for unique needs.
Solves problems where off-the-shelf AI fails—such as rare disease diagnosis.
Drools
Prolog
CLIPS
Neo4j
TensorFlow
PyTorch
Scikit-learn
Amazon Neptune
Grakn
SHAP
LIME
IBM AI Explainability 360
Apache Airflow
Kubeflow
MLflow 
Evidently AI
Arize
Custom Audit Dashboards
