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AI-first · Ad data (ETL) · Agents · Custom AI & MCP

Ad data.Agents.Automation. Built AI-first.

Vexio is an AI-first advertising automation company. We build advertising data pipelines (ETL), a campaign builder and AI agents, plus custom AI, MCP servers and cloud software.

Book a demo Marketing ETL Custom AI and MCP →

As a service, we do end-to-end work on Amazon Ads, Walmart Connect, Google Ads, Meta Ads, TikTok Ads and Shopify Ads.

Platforms we work on
  • Amazon Ads
  • Walmart Connect
  • Google Ads
  • Meta Ads
  • TikTok Ads
  • Shopify Ads

On each one we do end-to-end work: account structure and campaign build, data pipelines, automation, AI agents and MCP, and ongoing optimisation. See what we do on each ad platform.

Advertising data pipelines (ETL)

Marketing ETL: your ad data, in your warehouse.

We build the advertising data pipelines that pull reports from Amazon Ads, Google Ads, Meta Ads and other sources, clean and merge them, and load the result into BigQuery or PostgreSQL in your own account. It is a service, not software you subscribe to: each source is built, tested and handed over per engagement.

Advertising data pipelines Book a scoping call

Final frame. Gaps found, backfilled and alerted, in your own warehouse.

Illustration of a generic pipeline, not a customer system.

Campaign builder

Bulk campaign upload with every row checked before you approve.

Upload the spreadsheet you already build campaigns in. The campaign builder works out which column is which, checks every row and sorts them into ready, needs your input and error. Nothing is published until you approve it.

How the campaign builder works

Final frame. Illustrative ad previews. The campaign builder starts with Google Ads.

The animation is an illustration of the pipeline, with sample data.

Agents

AI agents for advertising and operations.

Each agent has one job, a limited set of tools and a person who approves what it proposes. The campaign builder is one of them. See all AI agents →

  • Campaign builder

    Spreadsheet to validated, approved campaigns, with every row checked before anything is published.

  • AI advertising agent

    Ask in plain language, review the proposed changes, approve what runs.

  • Customer support agent

    An embeddable chat agent with human handoff and per-tenant data isolation.

  • Sandboxed autonomous agents

    Agents that run in an isolated container where credentials never enter and outbound access is allow-listed.

  • MCP servers

    Tool servers that let AI assistants use your systems with a dry-run default, an audit log and scoped identity.

  • Reporting and deck automation

    Scheduled reports and approval-gated slide decks built from your own data.

Custom AI and software

Custom AI agents, MCP servers and software, built to order.

The engineers who build the ad tools also take projects from other companies: AI agents with a defined job, MCP servers that let AI applications use your systems, and the software and cloud setup around them. Every project starts with a scoping call and a written scope.

Stack Node.jsPythonDjangoMCPCloudflareAWSAzureDevOps
Insights

Practical reading before you book a demo.

Short explanations of the terms, trade-offs and engineering choices behind ad automation, AI agents and MCP. All insights →

  • Retail media · 14 Oct 2026 · 9 min

    What Is Retail Media Advertising? Formats and Measurement

    Retail media is advertising sold by retailers using first-party shopper data, on their own sites, off-site and in store. Formats, networks, closed-loop measurement and why comparing results across retailers is hard.

    Read the article →

  • AI agents and MCP · 14 Oct 2026 · 9 min

    What is an MCP server? A plain-English explanation

    An MCP server lets an AI assistant reach a system it cannot see on its own. See what it exposes, how a tool call flows, how local and remote servers differ, and what the specification says about security.

    Read the article →

  • AI agents and MCP · 14 Oct 2026 · 10 min

    MCP vs REST API: Differences and When to Use Each

    Keep the REST API for developers and add an MCP server when AI applications need to use the system. A short decision table, the differences in discovery, errors and transport, a worked example and a design checklist.

    Read the article →

FAQ

Questions buyers ask before a demo.

It means building advertising workflows around AI from the start, with a person approving anything that changes an account. Vexio works in two areas. Ad data and automation covers advertising data pipelines (ETL), the campaign builder and an AI advertising agent. Custom AI and software covers AI agents, MCP servers and cloud software built to order.

Marketing ETL means extracting data from advertising sources such as Amazon Ads, Google Ads and Meta Ads, transforming it into clean, consistent tables and loading it into a warehouse you control. Vexio builds these pipelines as a service, scoped per engagement. See advertising data pipelines (ETL).

Amazon Ads, Walmart Connect, Google Ads, Meta Ads, TikTok Ads and Shopify. On each one we deliver end-to-end work as a service: account structure and campaign build, data pipelines and reporting, automation, agents and MCP, and ongoing optimisation. The platforms page covers each one.

The campaign builder starts from a file: you supply a spreadsheet of campaigns, it checks every row, and you approve before anything is published. The AI advertising agent starts from a request in plain language: it plans the steps, calls tools through MCP and returns changes for your approval. Both sit on the agents page. See the campaign builder and the AI advertising agent.

Yes. An engagement starts with a scoping conversation about the job the agent should do, the tools it may call and the data it may read. Then come a prototype, a build with evaluation and approval steps, and a handover. Details are on the custom AI agent development and MCP server development pages.

Node.js, Python and Django for application code, BigQuery and PostgreSQL as warehouse destinations, the Model Context Protocol (MCP) for connecting AI agents to tools, and Cloudflare, AWS and Azure for hosting, with DevOps practice around them: deploy pipelines, infrastructure as code and monitoring. See custom software and cloud and DevOps.

Both, depending on the work. Advertising data pipelines, custom AI agents, MCP servers, software and cloud work are services: we scope, build and hand over per engagement. The campaign builder and the AI advertising agent are Vexio's own tools for advertising teams. On the ad platforms themselves we also deliver end-to-end service work.

Send a request on the demo page with your name, work email, company and what you want to automate or build. Mention the platforms and data involved if you can. We reply by email to arrange a demo or a scoping call.

Talk to us

Tell us what you want to automate or build.

Book a demo or ask a question. Tell us the platforms, data and tools involved and we reply by email to arrange the next step.

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