Platform / Deeplinq Core
The control plane behind every deployment.
Connect models, knowledge, agents, billing, policy, and evidence through one engine, then run it inside the infrastructure boundary the institution chooses.
System view
The capabilities share one boundary.
Gateway, knowledge, agents, connections, billing, and audit operate as one engine instead of separate control projects.
Control plane unified
boundary
Gateway
Standard model APIs
Knowledge
Authorized evidence
Agents
Durable bounded runs
Ledger + audit
Cost and proof
Business outcomes
The core becomes a product advantage.
Deeplinq combines the runtime capabilities that otherwise become separate platform projects, procurement questions, commercial systems, and reconciliation work.
- 01
Create new revenue
Sell AI usage at your price and margin, fund customer credits through the payment flows that fit your market, and keep one exact ledger.
- 02
Ship sooner
Connect standard SDKs, configure models and agents, and operate the platform through an embedded console instead of assembling a new control plane.
- 03
Earn trust
Ground answers in customer knowledge, require approval before sensitive actions, and keep personal connections attached to their owner.
- 04
Show the evidence
Enforce tenant separation and export a tamper-evident record of security, policy, provider, billing, and agent activity.
Platform map
Follow the control from request to record.
Each capability has a business surface for owners and an implementation surface for the teams operating it.
Gateway
Connect existing applications to any entitled model through standard interfaces.
02Knowledge
Ground answers in authorized files, websites, and tabular data with citations.
03Agents
Run multi-step assistants with durable checkpoints, approvals, and hard limits.
04Governance
Enforce identity, grants, guardrails, tool policy, and approvals before work proceeds.
05Audit trail
Verify and export a cryptographically chained record of significant activity.
06Billing and metering
Price models, fund customer credits, reserve cost, and settle actual token usage.
07Connections
Review MCP tools, seal provider credentials, and preserve user-owned consent.
08Deployment
Map the same control plane onto institution-owned, partner-operated, or hosted infrastructure.
Next step
Put the control plane in front of your first production workflow.
We will map your models, data boundaries, approval points, and evidence requirements in one working session.