Enterprise AI-native cognitive infrastructure

Give every enterprise

Genly Technology securely connects enterprise applications and private data, syncs knowledge, organizational permissions, business processes, and metadata, and builds governed context that large language models can understand and use—then moves teams from enterprise search to trusted answers and agent automation.

Genly SearchPermissions inherited

Enterprise search · permissions verified

Search enterprise knowledge and business context together

Genly organizes knowledge, permissions, processes, and metadata into model-ready context while keeping answers tied to original sources and access boundaries.

Agent actions require human confirmationPending

01 / Industry reality

The hard problem in enterprise AI is not only which model to pick.

In production, data connectivity, permission boundaries, enterprise context, and governance together decide whether AI is trustworthy and production-ready.

  1. 01

    Knowledge is scattered across business systems

    Genly Connector syncs documents, permissions, processes, and metadata in one place.

  2. 02

    Models lack enterprise-specific context

    Genly Enterprise Context organizes entities, relationships, and business semantics.

  3. 03

    Answers and actions must stay governed

    Citations, permissions, and audit trails become the shared foundation for Genly Search and Genly Agent.

02 / Cognitive infrastructure

From fragmented data to a unified enterprise context.

Connect, understand, and act form one enterprise AI cognitive stack.

  1. Connect

    Connect enterprise apps and private data

    Sync knowledge, organizational permissions, processes, and metadata while inheriting source-system access.

    • Genly Connector
  2. Understand

    Build enterprise-specific context

    Organize knowledge, organizations, processes, and metadata into context that models can understand, compute, and govern.

    • Genly Enterprise Context
  3. Act

    Move from trusted answers into execution

    Use the same context for enterprise search, trusted answers, and agent workflows.

    • Genly Search
    • Genly AI Answers
    • Genly Agent

03 / Product loop

From search to execution on one shared context and permission model.

Genly AI Answers Trusted answers

Generate cited answers from enterprise context

Genly Agent Governed execution

Invoke tools within explicit permission and audit boundaries

Agent Harness & RuntimeAgent building · context orchestration · tool calls · model routing · evaluation
  • Agent Builder
  • Context Orchestration
  • Tool Runtime
  • Model Router
  • Evaluation

Enterprise Graph

Connect entities, relationships, permissions, and business semantics into organization-level context.

  • People
  • Organization
  • Content
  • Business object
  • Permission
  • Process
Genly Enterprise ContextEnterprise-specific context layer

Personal Graph

Build personal knowledge, collaboration, and work context over time.

  • Personal knowledge
  • Collaboration
  • Tasks
  • Preferences
  • Work context
Genly ConnectorConnect systems and sync content, permissions, and metadata
  • DingTalk
  • WeCom
  • Teams
  • Confluence
  • Jira
  • GitHub
  • GitLab
  • ERP
  • CRM
  • More
  • Permission inheritance
  • Citation tracing
  • Data freshness
  • Human confirmation
  • Audit logs
  • Private deployment

04 / Financial services

Financial knowledge intelligence

For research, compliance, and investment management—address scattered reports, notes, regulations, workpapers, trades, and holdings, plus complex permission and audit requirements.

View financial services solution
01

Connect core business systems

Connect collaboration, research, trading, compliance systems, and report libraries while syncing data, permissions, and metadata.

02

Unified index and financial enterprise graph

Relate people, content, business objects, and access patterns into financial-grade enterprise context.

03

Support specialist workflows

Deliver sourced, permission-aware intelligence for research, compliance review, and investment management.

05 / Enterprise trust

Not unbounded AI action—every step needs evidence.

Data access
Inherit source-system permissions
Normal
Answer citations
Bound to authorized sources
Complete
Agent operations
Trace execution and outcomes
Auditable

Permission pass-through

Never bypass existing enterprise access boundaries.

Traceable sources

Answers and actions link back to source materials.

End-to-end audit

Genly Agent keeps execution and results fully logged.

06 / Pilot program

Begin with a real-world use case.

Within clear data, permission, and usage boundaries, see whether enterprise AI can understand the business and deliver reliable results.