Meet your enterprise AI assistant.
Threaded conversations, custom personas, and answers sourced from your docs — with citations. Deploy assistants across teams, and projects. Pick Claude, GPT, or Gemini. Generate images. All inside your cloud.
Built for enterprise depth
Assistants are trained on your internal knowledge bases, documents, and workflows — not general internet data.
Governed at every layer
RBAC, audit trails, PII redaction, and approval workflows are engineered in before a single assistant goes live.
Wired into your stack
Connects to your CRMs, ERPs, data warehouses, and internal APIs without rebuilding existing workflows.
See it in action
Your assistants. Your data. Live.
Each assistant knows your clients, understands your policies, and works entirely inside your cloud.
Research Analystjust now
Hello! I can synthesise client intelligence, market data, and internal notes into concise pre-meeting briefs.
Steps taken to generate this response
VPC-native deployment
Describe the outcome.
Step away.
Come back to completed work.
Ejento assistants work entirely within your cloud. Your data never leaves your VPC. Grant access only to what you want, approve every step, and retain a complete audit trail.
No data egress
All inference runs inside your AWS, Azure, or GCP account
Full audit trail
Every query, response, and action logged with user identity and timestamp
Granular access controls
RBAC scoped per assistant, per team, per document
Approval workflows
Human-in-the-loop gates for sensitive operations
SOC 2 Type II ready
Compliance documentation generated before go-live
The stakes
There has never been a more consequential time to get enterprise AI right.
The infrastructure you build today determines what your teams can do — and what your data is exposed to — for years.