AI Agents That Learn Across Industries
Deploy learning agents faster in regulated environments. engramIQ's multi-modal memory enables agents to remember context, understand relationships, and improve over time—while maintaining compliance for enterprise deployment.
🏥 Healthcare
Clinical agents that remember patient histories, learn from treatment outcomes, and build comprehensive care narratives across encounters. Deploy AI that gets smarter with every patient interaction.
Learning Agent Scenarios
Care Coordination Agent
Learns patient preferences, remembers treatment responses, and builds complete care timelines across providers.
Clinical Decision Support
Identifies patterns from similar cases, learns from outcomes, and suggests personalized treatment approaches.
Prior Authorization Copilot
Remembers medication histories, learns approval patterns, and builds stronger authorization cases over time.
Memory Architecture
Multi-Modal Memory
Semantic: Clinical notes, symptom descriptions
Graph: Patient-provider-treatment relationships
Temporal: Treatment timelines, outcome tracking
Learning Capabilities
- • Continuous improvement from treatment outcomes
- • Pattern recognition across patient populations
- • Personalized care recommendations
- • Cross-encounter context building
Compliance Features
💼 Finance
Financial agents that learn customer patterns, remember interaction histories, and build sophisticated risk models. Deploy AI that understands relationships and improves fraud detection over time.
Learning Agent Scenarios
Customer Service Agent
Learns customer preferences, remembers past issues, and provides increasingly personalized financial guidance.
Fraud Detection Agent
Builds behavioral profiles, learns from investigation outcomes, and refines detection algorithms continuously.
Risk Assessment Copilot
Remembers client risk factors, learns from market changes, and adapts recommendations based on outcomes.
Memory Architecture
Multi-Modal Memory
Semantic: Customer communications, market analysis
Graph: Customer-account-transaction relationships
Temporal: Market trends, risk pattern evolution
Learning Capabilities
- • Adaptive risk modeling from market feedback
- • Customer behavior pattern recognition
- • Fraud detection improvement over time
- • Personalized financial product recommendations
Compliance Features
🛡️ Insurance
Claims agents that learn from case outcomes, remember policy details, and identify fraud patterns. Deploy AI that builds expertise from every claim and improves accuracy over time.
Learning Agent Scenarios
Claims Processing Agent
Learns from adjuster decisions, remembers similar cases, and improves processing speed and accuracy.
Underwriting Assistant
Builds risk profiles from historical data, learns from policy outcomes, and refines pricing models.
Fraud Investigation Agent
Identifies suspicious patterns, learns from investigation results, and improves detection algorithms.
Memory Architecture
Multi-Modal Memory
Semantic: Claim descriptions, adjuster notes
Graph: Policy-claim-provider relationships
Temporal: Claim timelines, seasonal patterns
Learning Capabilities
- • Continuous improvement from claim outcomes
- • Fraud pattern recognition and adaptation
- • Risk assessment refinement over time
- • Personalized policy recommendations
Compliance Features
⚖️ Legal & HR
Legal agents that learn from case outcomes, remember negotiation strategies, and build institutional knowledge. HR agents that understand employee patterns and improve over time.
Learning Agent Scenarios
Contract Negotiation Agent
Learns successful negotiation tactics, remembers counterparty preferences, and improves deal outcomes.
HR Policy Assistant
Understands employee situations, learns from case resolutions, and provides consistent policy guidance.
Legal Research Agent
Builds case law knowledge, learns from legal outcomes, and improves research relevance over time.
Memory Architecture
Multi-Modal Memory
Semantic: Legal documents, policy descriptions
Graph: Case precedents, employee relationships
Temporal: Case timelines, policy evolution
Learning Capabilities
- • Case outcome pattern recognition
- • Negotiation strategy optimization
- • Employee behavior understanding
- • Legal precedent application improvement
Compliance Features
📞 Customer Success & E-Commerce
Support agents that learn user preferences, remember interaction histories, and build personalized experiences. Shopping assistants that understand style and improve recommendations over time.
Learning Agent Scenarios
Support Agent
Learns from ticket resolutions, remembers customer preferences, and provides increasingly effective support.
Shopping Assistant
Understands purchase patterns, learns style preferences, and improves product recommendations over time.
Account Manager
Builds customer relationship history, learns success patterns, and adapts engagement strategies.
Memory Architecture
Multi-Modal Memory
Semantic: Product reviews, support conversations
Graph: Customer-product-interaction relationships
Temporal: Seasonal preferences, behavior changes
Learning Capabilities
- • Customer preference evolution tracking
- • Support resolution pattern learning
- • Personalized recommendation improvement
- • Churn prediction and prevention
Privacy & Security
🤖 Agent Framework Integration
Seamless integration with LangChain, LangGraph, and custom agent frameworks. Enable persistent memory and learning across any agent architecture.
Framework Support
LangChain Memory Interface
Drop-in replacement for existing memory with multi-modal capabilities and learning features.
LangGraph State Persistence
Persistent memory across complex agent workflows with learning from execution outcomes.
Custom Agent SDKs
Native integrations for any agent framework with learning loop APIs and memory synthesis.
Developer Experience
Simple Integration
agent.recall(query)
agent.learn(outcome)
Advanced Capabilities
- • Multi-modal query planning and execution
- • Automatic memory synthesis and optimization
- • Learning loop integration with feedback
- • Real-time memory updates and retrieval