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 
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.
We design hybrid AI solutions that think and learn—blending symbolic logic with modern neural networks, enriched by graph-based intelligence using Neo4j.
Strategic combinations of rules, ML, and human oversight tailored to your risk/innovation balance.
Hard-code compliance boundaries while letting ML optimize within them.
Prevents 99% of regulatory violations in financial AI systems.
Inject domain ontologies into neural networks for contextual reasoning.
Boosts medical diagnosis accuracy by 35% compared to pure ML models.
Blend collaborative filtering with business rules for compliant personalization.
Achieves 25% higher conversions while avoiding risky suggestions.
Build self-documenting models with SHAP/LIME interpretability layers.
Accelerates regulatory approvals in pharma and banking sectors.
Design workflows where AI handles 80% of cases and escalates the rest.
Cuts operational costs by 60% while maintaining 100% accuracy on critical decisions.
Create novel frameworks like neuro-symbolic integration for unique needs.
Solves problems where off-the-shelf AI fails—such as rare disease diagnosis.
A leading bank partnered with us to tackle an overwhelming number of false fraud alerts—over 10,000 every day—which made compliance a nightmare and drained resources. They needed a solution that wouldn’t compromise on regulatory standards. We built a hybrid AI solution combining rule-based AML checks with machine learning for smarter pattern recognition. The result? A 70% drop in false positives, zero compliance breaches, and $15 million saved annually.
A pharmaceutical company came to us with a pressing challenge: their machine learning system could flag potential drug safety issues, but it couldn’t explain the reasoning to regulators—slowing down approvals. We implemented a knowledge graph-enhanced NLP system that delivered accurate predictions with fully auditable decision trails. This innovation helped them submit safety reports to the FDA eight times faster—while maintaining a flawless 100% audit pass rate.
We unite the best of symbolic and statistical AI for mission-critical hybrid AI solutions.
Drools
Prolog
CLIPS
Neo4j
TensorFlow
PyTorch
Scikit-learnNeo4j
Amazon Neptune
Grakn
SHAP
LIME
IBM AI Explainability 360
Apache Airflow
Kubeflow
MLflow 
Evidently AI
Arize
Custom Audit DashboardsGet ML's pattern recognition with rules' predictability and transparency.
Audit trails satisfy strictest compliance requirements.
Rules prevent catastrophic failures where ML uncertainty is high.
Knowledge injection reduces data needs by 50-80%.
ML components learn while rules ensure safety.
Explainable decisions drive faster adoption.
Optimize human oversight where it matters most.
Where pure AI approaches fall short, our hybrid AI solutions excel.
NLU + business rules for financial/healthcare Q&A.
Combines textbook knowledge with patient data patterns.
Rules for known risks + ML for emerging threats.
Balances actuarial tables with real-time data streams.
Physics-based rules + visual anomaly detection.
Curriculum rules adapt to learning style patterns.
Where mistakes are costly and explanations are mandatory.
A methodical approach to building robust hybrid AI solutions.
Identify non-negotiable business/regulatory rules.
Formalize domain expertise into computable structures.
Define where ML can optimize within boundaries.
Build orchestration layer between systems.
Ensure rules override ML when required.
Track system behavior and decision provenance.
Get AI that's both powerful and accountable—the best of both worlds.
We speak both the language of business rules and machine learning fluently—delivering dependable hybrid AI solutions.
Ready for AI that aligns with both your data and your business rules?