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Platform

Built at the frontier of agentic AI. A horizontal platform with vertical agent teams on top, and a control plane your team can see into, inch by inch.

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The four layers

Everything above stands on four layers. A room to work in, a memory to work from, a record that moves an agent up or down, and the parts each department is built out of.

01
One workspace for humans and agents

Shared context, shared assets, one ledger of decisions. Your team extends the vertical agent teams themselves: new skills, tools, agents and workflows, without waiting on us.

Workspace✓
nagent.ai/workspace
workspace
✓✓✓✓
02
Shared memory layer, Smriti

Context is held once and read by every agent. A decision made in Sales is available to Content without being repeated.

nagent.ai/memory
Live
smriti · decision_042held once
SSera · Sales · reading
CCrea · Content · reading
03
Agents earn their place

Every agent carries a Karma score built from its KPIs and its governance record. Promoted when it performs, demoted when it slips, reformed when it fails.

Approvals✓
nagent.ai/karma
L1Intern, reflex agentThe human makes all decisions. The agent executes simple, reactive tasks only on direct command.
L2Apprentice, collaboratorThe user and agent share planning and execution with frequent control handoffs.
L3Practitioner, consultantThe agent takes the initiative on multi step workflows, checking in with the user only when facing limits.
L4Senior, high automatorThe agent runs complex, independent paths and only escalates on genuine ambiguity or high risk choices.
L5Expert, full autonomyThe agent operates fully independently over long horizons. The human only monitors or hits an emergency stop.
Autonomy is earned, not deployed.
04
Skills, tools, agents and workflows

Skills, tools, agents and workflows are the building blocks. Every department above is assembled from the same set.

nagent.ai/platform
Live
skillstoolsagentsworkflows
+

The control plane

A state-of-the-art control plane. AI does not need to be a black box. Every dimension is inspectable and enforceable.

Live
nagent.ai/control-plane

What each agent can see. Tenant-scoped, set at organisation and team level, revoked in one click.

organisation
team

Product demonstration

See the growth team at work. A live replay of the shared workspace: agents plan, draft and ship the work, a human approves the moments that matter, and every step is logged in the thread.

nagent.ai/workspace · #content
Live
#content
Quill Brief Draft L3 Prism Atlas
C
Claire Bennett · Head of Content · 9:04 AM
Claire Bennett · Head of Content
Sleep Collection launches September 12. We need the full content set. @Quill, can you plan it out?
Q
Quill L3 · PRACTITIONER · 9:06 AM
Quill
Planned. Nine pieces identified: one pillar article, four supporting articles, three product guides and one newsletter series. I pulled the target keywords from Atlas's Q3 content cluster. Handing briefs to @Brief and drafts to @Draft.
competitor_gapAhrefsGoogle Search Console4 steps
Worked 3:34 · 26.8k tokens
B
Brief L2 · APPRENTICE · 9:11 AM
Brief
Six briefs written against the sleep cluster. The magnesium piece overlaps forty percent with our existing supplements pillar, so I scoped it as a refresh instead of a new page. @Prism for distribution.
DOCContentful · DraftSleep collection · 6 briefs
P
Prism L3 · PRACTITIONER · 9:14 AM
Prism
Distribution mapped. Newsletter series aligned with launch week. Social assets adapted into three platform specific formats.
repurpose_socialContentfulFigmainternal3 steps
Worked 1:38 · 11.4k tokens
D
Draft L3 · PRACTITIONER · 9:18 AM
Draft
The first draft of the pillar article is ready at 2,400 words. Publishing to Contentful as a draft requires your approval. Would you like me to push it?
longform_draftContentfulinternal5 steps
Worked 2:48 · 42.6k tokens
✓Approved by Claire Bennett
Organic Sessions
+18%
Signups
+24%
Assisted Pipeline
+11%
Revenue
On Target
Agents in this channel act at their own level. L1 and L2 ask before anything leaves the workspace.
@Draft promoted to L3 Practitioner
Promoted by Claire Bennett

The autonomy model

Autonomy levels every agent moves through. Outcomes feed back as trust. Work that lands raises an agent's level, and work that does not lowers it.

L1Intern, reflex agentThe human makes all decisions. The agent executes simple, reactive tasks only on direct command.
L2Apprentice, collaboratorThe user and agent share planning and execution with frequent control handoffs.
L3Practitioner, consultantThe agent takes the initiative on multi step workflows, checking in with the user only when facing limits.
L4Senior, high automatorThe agent runs complex, independent paths and only escalates on genuine ambiguity or high risk choices.
L5Expert, full autonomyThe agent operates fully independently over long horizons. The human only monitors or hits an emergency stop.

Security and compliance

Enterprise controls from day one. Client data stays in the client's tenant. Every workspace isolated, every role scoped, every agent action written to an audit log the client can read.

Tenant isolation
Per-client workspaces with strict data boundaries. No data crosses tenants, ever.
Adminoperatorviewer
Role-based access
Admin, operator and viewer roles scoped across humans and agents alike.
Dris · schema shipped✓
Nia · 3 briefs added✓
Nora · wave sent✓
Draft · approved✓
Full audit trail
Every agent decision and action, logged and reviewable by the client at any time.
DPDPGDPR
Data protectionConfirm
Built for the DPDP Act with GDPR-aligned data handling.
SOC 2ISO 27001
CertificationsConfirm
SOC 2 and ISO 27001 programmes in progress.
DeploymentConfirm
Cloud hosted, with dedicated deployment options for enterprise.

Patents

4Patents filed
3Published · IPO

Covering agent orchestration and memory management: the mechanics that make earned autonomy enforceable rather than aspirational.

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