Knowledge for one person
Private files, chats, generated work and a personal knowledge graph that belong to the individual.
EXPLORE ↘
KognosysSENANGAITalk to us ↗One memory layer. Three knowledge boundaries.
SenangAI gives every person, teamspace and organisation its own permission-aware knowledge graph, then carries those boundaries into every answer, agent and workflow.
Explore the page ↓
IGNITE/SPOKES/NODES/INFER/QUERY
01RETRIEVE
02REASON
03VERIFY
GOVERNED MEMORY ACTIVE
Personal · Teamspace · OrganisationIdentity and scope are resolved before people or agents can retrieve knowledge.
Knowledge for shared work
Create a project or department space where invited members, agents and workflows share one governed graph.
EXPLORE ↘Knowledge for everyone
Make employee handbooks, policies and common knowledge available across the company without exposing restricted team data.
EXPLORE ↘ONE GOVERNED PATH
From approved knowledge
to accountable action.
Connect knowledge once. Preserve its owner and permissions. Let SenangAI reason, create and automate without losing the citation, approval or audit trail behind the result.
PLATFORM AT A GLANCE
| Deployment | On-premise, private cloud or sovereign region |
|---|---|
| Knowledge scopes | Personal, Teamspace and Organisation, each with its own graph, permissions and audit context |
| Models | Any approved provider, routed by capability, speed and cost |
| Answers | Cited to the source documents they were drawn from |
| Consequential action | Pauses for a named human approval |
| Audit record | Identity, scope, model and approval kept for every action |
KNOWLEDGE BOUNDARIES / LIVE VIEW
Every scope has its own
knowledge graph.
People and agents see only the memory available in the active scope. Switch scope and the knowledge, conversations, files, agents and workflows switch with it. The scopes shown below are illustrative.
01PERSONALSELF
Knowledge for yourself
Private files, conversations and generated work form a personal knowledge graph visible only to you.
OWN GRAPHOWN PERMISSIONSOWN AUDIT CONTEXT
02TEAMSPACESMEMBERS
Knowledge for shared work
Create a project or department space where members, agents and workflows share one governed graph.
OWN GRAPHOWN PERMISSIONSOWN AUDIT CONTEXT
03ORGANISATIONEVERYONE
Knowledge for everyone
Publish employee handbooks, policies and common knowledge across the company without exposing restricted team data.
OWN GRAPHOWN PERMISSIONSOWN AUDIT CONTEXT
QUESTIONS
How does the
platform work?
Direct answers to what buyers ask first.
01What is a governed memory layer?
A governed memory layer is software that stores an organisation's approved knowledge together with the permissions, provenance and audit context attached to it, so people and AI systems retrieve only what their active scope allows. SenangAI applies this across Personal, Teamspace and Organisation scopes, resolving identity before any language model is called.
02Where does SenangAI run?
SenangAI deploys on-premise, in a private cloud or in a sovereign region, so knowledge and audit evidence stay inside the boundary the organisation chooses. Where it runs also shapes which obligations apply; in Malaysia, personal data in commercial transactions is governed by the Personal Data Protection Act 2010 (Act 709).
03Which language models can SenangAI use?
Any model from a provider the organisation approves. Models are registered, profiled and routed per task by capability, speed and cost, and every answer keeps its citation trail regardless of which model produced it.
LIVE EVALUATION
One use case.
Three weeks.
Evidence, not theatre.
Bring your compliance, risk and technology leads. Pick a question your organisation already argues about.
Book a working session ↗WHAT THE THREE WEEKS PRODUCE
DAY ONEFirst cited answerConnect one approved source and ask a question in your own language.
WEEK ONEBoundary testRun the same question from a scope that should not see it, and watch the system fail closed.
WEEKS TWO TO THREEControlled actionTurn the answer into a workflow that pauses for a real approval decision.