AI for advertising, on your security team's terms

Sound familiar?

• Security won't let third-party tools near your advertising data
• Sending data to outside AI models needs sign-off you don't have
• Figuring out who changed a budget means digging through chat history
• Dozens of brands and business lines, each with its own spreadsheets and reports

Time freed up for the marketing team

• Daily campaign optimization

  Before
  1–2 h

  With Palitra
  5–10 min to review

• Report for leadership

  Before
  3–4 h*

  With Palitra
  20 min: the report builds on schedule

• Tracing who changed a campaign

  Before
  30–60 min*

  With Palitra
  1 min: an entry in the audit log

• Onboarding a new team member

  Before
  separate access to every ad account

  With Palitra
  SSO sign-in, ad account credentials at org level

* Estimate for a typical account.

How it works

• Deployed in your cloud

  Palitra runs on your infrastructure: AWS, GCP, Azure or Kubernetes. Ad account credentials are encrypted with AES-256-GCM, and each project's data is isolated.

• Your own AI provider

  Connect the model your security team has approved: any frontier model or your own.

• Corporate sign-in and an audit log

  Your team signs in with SSO/SAML (Okta, Azure AD). Roles control who can access which project, and every advertising change is logged: what changed, when and who approved it.

Features you'll use

• Control and approvals

  The agent works inside your rules: tool permissions, change limits, approvals and an audit log.

• Multi-client

  No more separate logins and spreadsheets for every client: one project per client, shared credentials and roles.

• MCP and API

  Connect Claude, ChatGPT, Cursor or your own systems to Palitra's advertising data and tools over MCP.

• AI agent

  No more exporting stats and stitching spreadsheets together: ask in plain words and get an answer with a chart.