Scattered enterprise data
Documents, tables, and business systems keep data apart, making it hard to find information and source evidence together.
AI PLATFORM FOR EXPERT WORK
AI that understands enterprise data and executes real work
Connect enterprise data and operating context in a knowledge graph. Specialized agents use evidence and rules to decide, execute, and write results back to business systems and company knowledge.
ENTERPRISE DATA → BUSINESS CONTEXTAGENT EXECUTION → KNOWLEDGE LOOP
LIVE WORKSPACE + SPECIALIZED AGENTSLIVE
CONTEXT IS OUR FOUNDATION
When systems are scattered, the basis for judgment is scattered
Teams repeatedly search for and organize the same data. When file locations, formats, and metric definitions differ, every important question starts with another round of manual work.
Disconnected operating context
Definitions, metrics, and relationships are lost between systems, forcing teams to explain the context again for every analysis.
Repetitive expert review
High-value work still depends on manually comparing large volumes of material and checking exceptions and gaps.
Disconnected AI tools
Generic tools that read isolated files cannot continuously build company knowledge or the relationships across projects.
BUILT FOR EXPERT WORK
One foundation for company knowledge and agent execution
The AI data room and workspace connect enterprise data, while specialized agents and the verification layer analyze, execute, and learn from the same business context.
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01 / LIVE KNOWLEDGE BASE
Turn enterprise data into one knowledge base
Structure documents, tables, and business-system data by project and operating context. Changes in source data keep company knowledge current.
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02 / WORKSPACE
Ask across project boundaries
Set the scope across projects and data sources, then query and extract information. Break complex questions into multi-step research.
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03 / SPECIALIZED AGENTS
Decide and execute from business context
Specialized agents read the knowledge graph and live business data as context, then decide, execute, and write results back to systems and company knowledge.
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04 / VERIFICATION LAYER
Present evidence with every conclusion
Keep the evidence documents, sources, and trace information used in each analysis so the team can return to the original material and recheck the result.
CONTEXT TO EXECUTION
One continuous loop from connected data to execution and learning
Enterprise data becomes business context, and agent work updates both operating systems and the knowledge graph.
Connect
Connect documents, tables, and business systems.
Understand
Structure concepts and relationships in business context.
Execute
Specialized agents perform analysis and critical work.
Learn
Write execution results and new knowledge back to systems and the knowledge graph.
TRANSPARENT PRICING
A simple pricing structure for the entire team
The platform fee includes project AI data rooms, the workspace, and terms and number extraction. Collaborate without additional per-seat charges, then review specialized-agent usage and settle it in arrears.
No per-seat feesNo bloated bundlesNo hidden markups
View pricing01HOPFIA PLATFORMShared data · knowledge · agent foundation
02HOPFIA RISKDiligence · risk analysis · evidence tracing
03HOPFIA CORECompany knowledge · custom agents · workflow execution
HOPFIA PRODUCT SYSTEM
One platform foundation, with Risk and Core built for distinct work
Hopfia Platform provides the shared data, knowledge, and agent-execution foundation. Hopfia Risk supports diligence and risk management, while Hopfia Core supports company-specific knowledge and critical workflow execution.
Explore the product systemSECURITY REVIEW
Security review for enterprise data
Review data handling, access, AI-use policy, retention, and deletion requirements for your deployment environment.
Review security scope
SECURITY REVIEWDATA CONTROLACCESS POLICYAI USE POLICY
INSIGHTS
Latest AI insights for expert teams
PRODUCT01
The Log: February 2026 Update
A concise log of the major Hopfia product changes from February 2026.
PRODUCT02
The Log: January 2026 Update
A concise log of the major Hopfia product changes from January 2026.
AGENTS03
Autonomous AI Agents in Due Diligence
How specialized agents can execute complex diligence analysis as a structured sequence of work.
FREQUENTLY ASKED QUESTIONS
Common questions before adoption
01How is Hopfia different from generic AI?+
Hopfia goes beyond isolated file questions by building relationships between projects and enterprise data into a knowledge base. The workspace, specialized agents, and evidence tracing operate on that same business context.
02What is the advantage over building it internally?+
Start with a standard platform instead of separately designing data structuring, cross-project questions, specialized agents, and a verification layer. Extend critical workflows through Hopfia Core when needed.
03Is pricing based on seats?+
The entire team uses the platform without additional per-seat charges. Specialized agents are billed monthly in arrears after reviewing actual usage; specific scope is provided during the consultation.
START WITH HOPFIA
Connect data, execute work, and keep company knowledge evolving
Start with your current workflows and data structure, then identify the highest-value place to apply Hopfia.
Contact Hopfia