RISK INTELLIGENCE
Refresh analysis whenever deal data changes and connect each risk signal to its exact source evidence.
HOPFIA PLATFORM
One AI platform connecting enterprise data and expert work
AI data rooms, a workspace, specialized agents, and a verification layer operate on the same business context.
Discuss the platformHOW THE PLATFORM WORKS
One platform, two intelligence systems
Hopfia Risk connects evidence and risk signals across investment workflows. Hopfia Core understands company-specific business context through a knowledge graph to create and manage specialized agents.
HOPFIA APPLICATIONS
BUSINESS OPTIMIZATION
Company-aware agents support decisions and actions that directly improve operational profitability.
HOPFIA RISK
01INPUT
DATA CONNECTORS
Ingests changes from data rooms, document stores, CRM, ERP, and event sources
Documents · tables · events
02SEMANTIC LAYER
NEURO-SYMBOLIC INDEX
Indexes semantic vectors and concept relations with exact page, table, and cell locations
Vectors · concepts · locations
03SEMANTIC LAYER
RISK MATRIX
Structures risks, evidence, and gaps in reviewable rows and columns
Question context · evidence
04EXECUTION
RISK AGENTS
Diligence, research, and monitoring agents return risk signals with evidence
HOPFIA CORE
BUSINESS CONTEXT
Systems · data · operating rules
Systems · data
ONTOLOGY
Concepts · relations · decisions
Concepts · relations
LIVE KNOWLEDGE BASE
Facts · changes · source evidence
Grounded agent specification
SPECIALIZED AGENTS
Company-specific judgment and action
Execution · verification
VERIFIED WORKFLOWS
Sources · approvals · execution history
AGENT & INFRA MANAGEMENT LOOP
Manage deployment · versions · access · cost · runtime state, then write results back to knowledge
FOUNDATION INFRASTRUCTURE
SECURITY & GOVERNANCE
Reviews data handling, access policy, permissions, audit records, and human approval for each environment
KUBERNETESKAFKA
CLOUD & EVENTS
Container and Kubernetes runtime, Kafka event streams, and task queues
REDISNEO4J
STATE & RETRIEVAL
Redis state and cache, vector DB semantic search, and graph DB relationships
LANGGRAPHDOCKER
AGENT OPERATIONS
LangGraph orchestration, deployment, scaling, tracing, evaluation, and observability
01 HOPFIA APPLICATIONS
Move from analysis to action on one platform
Risk Intelligence for investment decisions and Business Optimization for company operations share the same data and agent foundation.
RISK INTELLIGENCE
Refresh analysis whenever deal data changes and connect each risk signal to its exact source evidence.
BUSINESS OPTIMIZATION
Company-aware agents support decisions and actions that directly improve operational profitability.
02 HOPFIA RISK
Every data change becomes a reviewable risk signal with evidence
Reflect changes in documents and tables in the risk structure, then link each judgment to its exact source location.
DATA CONNECTORS
Ingests changes from data rooms, document stores, CRM, ERP, and event sources
Documents · tables · events
NEURO-SYMBOLIC INDEX
Indexes semantic vectors and concept relations with exact page, table, and cell locations
Vectors · concepts · locations
RISK MATRIX
Structures risks, evidence, and gaps in reviewable rows and columns
Question context · evidence
RISK AGENTS
Diligence, research, and monitoring agents return risk signals with evidence
03 HOPFIA CORE
Agents that understand the business context execute real work
Design company-specific agents on a business knowledge graph and manage execution, approval, and knowledge feedback.
BUSINESS CONTEXT
Systems · data · operating rules
Systems · data
ONTOLOGY
Concepts · relations · decisions
Concepts · relations
LIVE KNOWLEDGE BASE
Facts · changes · source evidence
Grounded agent specification
SPECIALIZED AGENTS
Company-specific judgment and action
Execution · verification
VERIFIED WORKFLOWS
Sources · approvals · execution history
AGENT & INFRA MANAGEMENT LOOPManage deployment · versions · access · cost · runtime state, then write results back to knowledge
04 FOUNDATION INFRASTRUCTURE
Operate and scale every workflow with confidence
Security and governance, event processing, state and retrieval, and agent operations keep both systems reliable at runtime.
SECURITY & GOVERNANCE
Reviews data handling, access policy, permissions, audit records, and human approval for each environment
KUBERNETESKAFKA
CLOUD & EVENTS
Container and Kubernetes runtime, Kafka event streams, and task queues
REDISNEO4J
STATE & RETRIEVAL
Redis state and cache, vector DB semantic search, and graph DB relationships
LANGGRAPHDOCKER
AGENT OPERATIONS
LangGraph orchestration, deployment, scaling, tracing, evaluation, and observability
BUILD YOUR COMPANY KNOWLEDGE
Turn scattered data and operating knowledge into a shared company asset
Start with your current data and repetitive work, then identify the highest-value place to apply Hopfia.
Discuss the platform