Genly AI Answers Trusted answers
Generate cited answers from enterprise context
Enterprise context,
Genly Technology helps enterprises connect fragmented data and knowledge and build a context system that understands their business, enabling AI to move from information retrieval and knowledge Q&A to automated execution of complex business processes, with security, trust, and governance at every step.
Why didn’t we invest in a certain new energy company in 2018? Who was responsible at the time, and what were the main concerns?
From search to execution on one shared context and permission model.
Genly Agent Governed execution
Invoke tools within explicit permission and audit boundaries
- 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 Search Enterprise Search
Search enterprise content, people, and business objects across systems
DingTalk
WeCom
Teams
Confluence
Jira
GitHub
GitLab- ERP
- CRM
- More
- Permission inheritance
- Citation tracing
- Data freshness
- Human confirmation
- Audit logs
- Private deployment
Turn fragmented enterprise knowledge into the foundation for AI to understand your business, answer accurately, and execute tasks.
More accurate answers
Ground answers in enterprise knowledge and business context for greater relevance to real work.
Automated business ontology building
Automatically identify business entities and relationships to continuously build and update enterprise semantics.
Fewer tokens
Select relevant context to reduce redundant information and token consumption.
More connections, richer context
Connect more enterprise applications to enrich cross-system knowledge and business relationships.
Scalable, reliable AI capabilities for enterprise business.
- Enterprise application connectors
- 10+
- Enterprise knowledge processing scale
- 1M+
- Enterprise knowledge entity and relationship types
- 1000+
- Enterprise AI evaluation dimensions
- 30+
- End-to-end time to first token
- <2s
- Core service availability
- 99.9%
Bring AI into real business workflows.
Help DDC operations staff find adverse media relevant to the review target and its industry.
- Enter a review target and use Genly to search connected media sources for relevant negative news.
- Use company names, related entities, and business context to identify whether coverage actually concerns the review target.
- Assess negative information in the company's industry context to distinguish relevant adverse media from unrelated mentions.
Conduct an adverse media review of a pharmaceutical group: search for negative news, assess whether coverage concerns this company and is relevant to its pharmaceutical industry, and list the reasoning and original sources.
Help reviewers verify ingredient quantities in foods for special medical purposes, with calculations for every level.
- Extract ingredient quantities from formula tables spanning submission documents, preserving parent and child relationships.
- Apply the review requirements, convert mg and g to a common unit, and check formula totals and child sums against parent quantities.
- Keep extracted entries, calculations, and differences visible so reviewers can verify findings and prepare their assessment.
Following the review requirements, verify whether ingredient quantities at every level in the Product Formula table in Attachment 1 meet the requirements.
Help engineers understand affected systems and dependencies before upgrading a service.
- Ask Genly which systems an upgrade may affect, without having to ask around or search through chat histories.
- Find relevant information in connected apps such as Jira and Confluence, and use the enterprise graph to connect services, APIs, and downstream systems.
- Bring affected systems, related changes, and open questions together with sources, so engineers can coordinate and confirm before execution.
Which systems could be affected by the SMS service 1.1 upgrade?
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See how Genly Technology connects enterprise data and knowledge, builds business context, and enables AI search, trusted answers, and business process automation.