Genly Product Platform

One enterprise context for search, answers, and governed execution.

Connector links enterprise systems. Enterprise Context organizes knowledge, permissions, and business relationships. Search, AI Answers, and Agent work together inside the same context and governance boundaries.

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Enterprise systems
Connection layerGenly ConnectorSync content, permissions, and metadataShared context layerEnterprise ContextKnowledge · relationships · permissions · processes
SearchFindAnswersUnderstandAgentAct

01 / Enterprise context gap

Models keep improving—enterprise AI still does not understand the enterprise.

What blocks production AI is not model capability alone—it is data, semantics, and governance boundaries not organized together.

  1. 01
    Fragmented knowledge

    Content sits across collaboration, documentation, project, and engineering systems.

  2. 02
    Missing business semantics

    Models see documents but not people, objects, and process relationships.

  3. 03
    Permissions cannot be bypassed

    General tools struggle to inherit existing enterprise access boundaries.

  4. 04
    Outcomes cannot be accountable

    Without sources, timestamps, and audit, answers and actions cannot be verified.

02 / Entry points

Find first, understand next, act with control.

Three entry points share one data connection, enterprise semantics, and permission governance—not three isolated products.

01

Genly SearchEnterprise search

Search enterprise content, people, and business objects across systems while preserving original permissions and sources.

02

Genly AI AnswersTrusted answers

Generate cited answers on enterprise context so conclusions can be verified and traced.

03

Genly AgentGoverned execution

Complete business tasks through tools inside explicit permissions, human confirmation, and audit boundaries.

03 / Shared foundation

Connect enterprise data once—reuse upper-layer capabilities continuously.

Each AI scenario should not rebuild data pipelines, permission logic, and retrieval. Genly turns connection, context, and governance into shared infrastructure.

Connection layerRead connector docs →

Genly Connector

Connect collaboration, knowledge, project, and engineering systems—syncing content, permissions, and metadata.

CollaborationDingTalk · WeCom · TeamsKnowledge docsConfluenceProjectsJiraEngineering codeGitHub · GitLab
Core context layerServes all applications

Genly Enterprise Context

Organize content, people, business objects, relationships, and permissions into governed enterprise context AI can understand and compute.

Same semanticsSame permissionsSame evidence
Individual context

Personal Graph

Build a durable cognitive graph around personal knowledge, collaboration ties, and work context.

Personal knowledgeCollaborationTasksPreferencesWork context
Organization-wide context

Enterprise Graph

Connect people, organizations, content, systems, permissions, and business objects into organization-wide context.

PeopleOrganizationsContentBusiness objectsPermissionsProcesses

04 / Platform expansion

From reliable answers to governed business agents.

Agent Runtime unifies agent building, tool invocation, model selection, and evaluation in one runtime environment.

Learn Genly Agent
Genly AI AnswersTrusted answersGenly AgentGoverned execution
Shared runtimeAgent Runtime
Agent BuilderConfigure agents for concrete business scenarios
Tool RuntimeRead information and invoke tools under controlled identity
Model RouterChoose models by task, deployment, and cost requirements
EvaluationAssess answer quality, execution outcomes, and risk

05 / Enterprise trust

Every read, answer, and action has boundaries, evidence, and traceability.

  1. 01ReadInherit source permissions

    Access only what the current user may view

  2. 02UnderstandKeep sources and timestamps

    Every answer links back to original materials

  3. 03ExecuteHuman confirmation and tool authorization

    High-risk actions happen inside explicit boundaries

  4. 04RecordComplete audit logs

    Record context, tools, outcomes, and responsible users

Data freshnessCitation traceabilityHuman confirmationAudit logsPrivate deployment

06 / Industry proof

Validated in knowledge-intensive, permission-complex financial scenarios.

Connect collaboration, research, trading, research libraries, and compliance systems—delivering trusted search, answers, and governed execution inside original permission and audit boundaries.

View financial services solution
01Information integration

Connect research, notes, regulations, and business data across systems.

02Source retention

Answers return original materials, permission state, and data timestamps.

03Compliance boundary

High-risk outcomes require human review; actions remain fully logged.

Begin with one real business question

See whether governed enterprise context helps AI understand your business and deliver reliable results.

Define data scope, permission boundaries, and business metrics—connect existing systems and validate the full product loop.

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