AI for AdTech Platforms
Apply AI where it improves real advertising operations: ad ops investigation, analytics, AI agents, bid pricing, fraud detection, creative and natural-language access to platform data.
Investigate ad operations in plain English — and see how it got there.
An AI-assisted copilot for ad server and ad exchange operations. It answers questions using governed tools rather than guessing, and shows exactly which tool it used for every number it gives you.
What happened?
What's wrong?
Why did it happen?
What evidence supports it?
What should we do next?
AdServer Mode
Reads your Revive Adserver data — zones, banners, campaigns, delivery and revenue — and runs health checks for expiring campaigns, zones behind pace, size mismatches and zero-fill zones.
Exchange Mode
Reads your ad exchange data — bid requests, wins, timeouts and partners — to analyze win rate, exchange health and supply/demand balance.
Performance Analysis
Fill rate, revenue, win rate and more, for any period, zone, campaign or partner.
Root-Cause Investigation
Breaks a metric change down by what drove it, not just that it moved.
Anomaly Detection
Flags unusual days for a metric before they become a bigger problem.
Audit & Change History
Shows who changed what, and when, for every object it reports on.
Health Checks
Expiring campaigns, behind-pace delivery, unlinked zones, size mismatches — run on demand.
Governed Tool Orchestration
Looks up real data through a defined set of tools, and cites which ones it used for every answer.
Five more AI capabilities, each already built.
Beyond AdOps Copilot, DJAX builds AI for natural-language data access, AI agents, bid pricing, fraud detection and creative. Each runs in the DJAX platform or can be added to your existing ad stack.
Natural Language Database Agent (MCP)
Lets anyone on the team ask questions of the ad platform database in plain English. Built on the Model Context Protocol, it discovers the real schema, writes a safe read-only query, runs it and returns a readable answer.
Key features
- Model Context Protocol (MCP) client and server architecture
- Schema discovery so queries use the real tables and columns
- Read-only SELECT queries only; all write and schema changes rejected
- SQL validated with a parser, not keyword filters
- Dedicated low-privilege database account, row limits and timeouts
- Database credentials never exposed to the AI model; sensitive columns hidden
- Every tool call and query logged for audit
- Choice of AI provider (for example Gemini or Groq)
For your tech team
The AI never connects to the database directly: an MCP server holds the connection and enforces read-only access, limits and logging.
For the business
Self-service data for every team without SQL skills, and fewer data-pull requests to engineering, with a low-risk read-only design.
Agent Access (MCP Server for AI Agents)
Lets AI agents work with your ad server safely. An MCP server exposes governed tools to list campaigns, read reports, pause or resume campaigns, change budgets and create banners, with people kept in control.
Key features
- MCP server that any MCP-capable AI agent can connect to
- Tools to list campaigns and read reports
- Tools to pause or resume campaigns and change budgets
- Tool to create banners
- Read-only by default
- Role-based tokens for each agent or person
- Approval steps before changes go live
- Full audit log and undo for reversible actions
For your tech team
Connecting an agent grants nothing by itself: tokens define what each agent may do, and approvals put a person between a proposed change and the live campaign.
For the business
Let agents handle routine ad ops requests around the clock, while every change stays approved, logged and reversible.
RTB Intelligence Engine
Machine-learning pricing for real-time bidding: bid shading for buyers and dynamic floor prices for sellers, running as local, low-latency inference inside the bidder.
Key features
- Bid shading: predicts the likely clearing price and lowers bids accordingly
- Dynamic floors: predicts the right floor for each bid request
- Uses signals such as site, placement, format, device, geo, time and win history
- Safety limits on how far floors can move
- Local inference with no external call at bid time
- Automatic fallback to existing logic on error or timeout
- A/B rollout on a slice of traffic with monitoring
- Periodic retraining on new auction outcomes
For your tech team
Runs inside an existing Go-based DSP or SSP, adds no auction latency, and falls back automatically, so the AI layer can never cause a failed auction.
For the business
Lower cost per win on the buy side, and floors that track real inventory value on the sell side, protecting both revenue and fill.
IVT AI: Real-Time Invalid Traffic Detection
Scores every impression and click in real time with weighted rules plus a machine-learning anomaly model, and returns a Clean, Suspicious or Blocked verdict.
Key features
- Real-time scoring of every impression and click
- Rule signals: IP reputation, bot user agents, velocity, duplicates, geo mismatch
- Machine-learning anomaly layer trained on your traffic history
- Tunable weights, blend ratio and verdict thresholds
- Optional AI explanation of why a request was flagged
- Shared real-time state across servers; fails safe
For your tech team
Uses data the ad server already has, adds no noticeable latency, and is tuned by configuration, not code.
For the business
Stop paying for fraudulent traffic and keep advertisers confident in your numbers.
AI Banner Ad Generator
Generates finished display banners from a plain-English brief: industry, message, style, colours and size, rendered at the exact pixel size of the ad slot.
Key features
- Plain-English brief, no design software or jargon
- Automatic layout, colours and typography
- Exact pixel dimensions for each slot
- Instant revisions by describing the change
- Full multi-size campaign sets from one brief
- 10 standard sizes from 320x50 to 970x250
For your tech team
Creative is produced at the required dimensions and returned ready to upload, with no manual resizing.
For the business
Produce campaign creative in seconds instead of days, and test more variations for small advertisers and agencies.
AI for AdTech: common questions
What is an AdOps copilot?
An AdOps copilot is an AI assistant for ad operations teams. You ask questions about delivery, revenue, traffic or fraud in plain English, and it investigates the data and shows how it reached the answer. DJAX AdOps Copilot is available for Revive Adserver and other ad stacks.
How does MCP work with an ad server?
The Model Context Protocol (MCP) lets an AI assistant use approved tools instead of touching your systems directly. A DJAX MCP server sits next to the ad server and holds the connection. The AI can only call the tools it has been given, such as read-only database queries, and every call is logged.
Can an AI agent change my campaigns?
Only with your approval. With DJAX Agent Access, an AI agent can propose pausing or changing a campaign. A person approves the change, and it can be undone.
Does AI-generated creative go live without review?
No. The AI Banner Generator produces banners from plain-English descriptions, and a person reviews each banner before it goes live.
Have a manual AdTech workflow to automate?
Bring the workflow, data sources and current tools. We can assess the implementation path.