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Infrastructure-grade AI for serious global businesses.

The financial-gradeAI agent platformbehind every Pryme Workspace.

Pryme Workspace gives every business one place to subscribe to specialized agents, build custom agents, train them on business context, deploy them across systems, and govern every action with approvals, audit trails, and human oversight.

01

Build

Roles, tasks, and permissions

02

Train

Knowledge, context, and memory

03

Deploy

Websites, workflows, and APIs

04

Govern

Approvals, logs, and oversight

Google CloudNVIDIA Inception
Workspace Home screenAgent Command Centre screenGrounded business context screenSpecialized agent activation screenHuman review and overrides screenGoverned activity history screenConnected tools and systems screen
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Command Centre
Knowledge Base
AI Agents
HITL
Audit
Integration

Built for teams that need agents inside real operations.

Business teams

Build and use role-based agents for support, marketing, sales, finance, and operations without heavy engineering work.

Explore agents

Regulated enterprises

Deploy agents with approvals, permissions, logs, and governance boundaries for sensitive workflows.

Talk to our enterprise team

Developers and builders

Build custom agent workflows through APIs, integrations, and programmable deployment surfaces.

View developer API

One Workspace for agent creation, deployment, and control

Pryme gives businesses the infrastructure to create role-based AI agents that do more than respond to prompts. Agents can be built in plain chat, trained on business context, connected to tools, deployed across customer and internal surfaces, and governed through approvals, permissions, logs, and policy controls.

Build

Create agents by describing the role, task, workflow, and permissions in plain language.

Chat-Based Agent Builder

Train

Ground agents in your documents, tools, workflows, policies, and operational context.

Agent Training Zone

Deploy

Launch agents across websites, business systems, APIs, and customer channels.

Deployment

Govern

Govern agents with approvals, audit trails, permissions, and human oversight before actions run.

Governance & Audit Trails

Where Pryme fits in your stack

Pryme Workspace sits between your model layer, data systems, and business applications. It connects to the tools your business already uses, then gives your agents the environment to act, learn, deploy, and stay governed.

Pryme doesn't replace your LLM, CRM, or RAG stack. It sits between them and orchestrates governed agentic execution across both.

Model layer

OpenAI, Anthropic, Bedrock, Gemini, or internal models.

Data and knowledge layer

Documents, policies, data warehouses, databases, and workflows.

Pryme agent platform

Builder, training, orchestration, deployment, governance, and audit.

Business systems

CRM, support desk, finance systems, websites, APIs, email, and customer channels.

Governance built into every Workspace.

Every Pryme Workspace is designed with controls for agent access, approvals, logs, policies, and human oversight. Agents can work inside your business without becoming uncontrolled black boxes.

Permissioned

Control what each agent can access, see, and do.

Approved

Route sensitive actions through human review.

Logged

Record instructions, actions, approvals, corrections, and outcomes.

Governed

Apply policy rules, escalation paths, and review workflows.

Pryme Intelligence is built alongside Pryme Financial Ltd, bringing financial-grade governance principles into the way agents are designed, trained, deployed, and reviewed.

Architecture at a glance

Pryme is designed as a tenant-aware agent platform with identity, catalog, knowledge, runtime, governance, and deployment layers working together.

Tenant Context

Identity, tenant routing, and permissions form the system boundary.

x-pryme-tenant
t:{tenantId} namespaces

Agent Catalog

Commercial agents and Pryme’s internal workforce are modeled separately.

Pre-activation flows
Role-based catalog

Knowledge Layer

KB, embeddings, graph upserts, and memory events ground agent context.

KB links + source sync
pgvector + KG writes

Governance Rail

Guardrails, privacy, financial policy, HITL, and audit are mandatory rails.

Policy engine
Approvals + overrides

Runtime + Tools

Agents execute through a shared runtime, tool registry, and worker layer.

Reasoning proxy
Mail, voice, action workers

Deployment Surfaces

The same stack deploys across websites, operators, and connected channels.

Web + WordPress
Gmail, X, LinkedIn, API
01
Audit events and activity history are queryable today.
02
Tenant isolation is enforced at the namespace and data layer.
03
Embeddings, KB, graph, and runtime execution already share the same platform spine.
04
The next frontier is richer observability, broader channel packaging, and deeper operator tooling.

FAQ

Pryme Workspace is the business environment where teams subscribe to agents, build custom agents, train them, deploy them, connect tools, and govern agent activity.

Yes. The Workspace is where your agents, integrations, training, governance, and activity records are managed.

Yes. Businesses can add specialized agents and manage them inside their Workspace.

Yes. Pryme’s chat-based builder lets you create custom agents in plain language.

Integrations are managed inside the Workspace so agents can connect to your business systems and workflows.

The Workspace includes permissions, approvals, logs, policy controls, and human oversight.

Create your Pryme Workspace.

Start with specialized agents, build your own, or speak with Pryme about governed enterprise deployment.