Adviax.ai researches the market, creates the ads, deploys complete Meta campaigns and improves them from every result — inside limits you set.
Manual buying reacts in hours. Auctions move in minutes. The difference is paid for out of your ad account.
Builds campaign, ad-set and ad configuration — audiences, placements, budgets, bidding and creatives — then deploys it to Meta.
Finds keywords, competitors, offers and audiences, and studies current Meta Ad Library creative without leaving the platform.
Raises spend on proven winners gradually, so growth never outruns the evidence.
A guarded loop turns Meta-native evidence into measured actions — and keeps a complete audit trail.
A budget ceiling enforced outside the agent itself. It cannot be crossed, reasoned with, or talked around.
Campaigns that lose money get stopped, not flagged for a meeting next week.
One control pauses everything the agent runs, instantly and project-wide.
Adviax.ai generates ad images, video and copy for each angle, so research can become a live creative test without waiting on a separate production queue.
One guarded workspace for the repetitive work between an idea and a profitable Meta campaign.
Early-access price for people who received this offer at AWE Budapest 2026. Stays $300 for you.
Send your email to apply. We review each request and contact approved applicants personally for onboarding.
Everything in the platform
Adviax.ai is an agentic media-buying workspace for Meta ads. It combines market and creative research, campaign building, deployment, reporting and guarded optimization in one operating loop.
It researches keywords, competitors and active ads; generates images, video and copy; creates complete campaign structures; deploys them to Meta; and monitors ROAS, spend and loss rules to pause, scale or recover campaigns.
Guardrails come first: spend caps, LaunchControl checks, portfolio freezes, loss-based autopause and a project-wide emergency stop constrain what the agent can launch or change.
Yes. Adviax.ai keeps campaign lessons, hypotheses, experiments and audit history, then uses Meta-native spend, revenue, CPA and ROAS evidence to improve future decisions inside your rules.
The $300 monthly early-access price is reserved for people who received this offer at AWE Budapest 2026. Approved recipients keep that price while they remain in the program; the planned public price is $2,000 per month.