HUNX.AI · Intelligent product engineering · Brasil / Global
Hunx is an intelligent product engineering company, not a software house. Committed to outcomes, from architecture to go-live in production.
HUNX-01/06 · REV.2026.07
Projects become reports. Consultants deliver recommendations. Who ships to production and owns the result?
We build the tools we always wished existed inside media operations. Products that run, with the responsibility that comes with running them.
Portfolio · Six proprietary products. In production.
A cross-media AdTech ecosystem, digital and TV. Each product wins standalone. Natively connected when combined.
Media planning. Digital and offline. One platform.
From briefing to reconciliation with no in-between spreadsheet. Conversational AI drafts the plan, the team works one real-time grid, exports land in the client's own template.
iplanner.ai →AI chat. Custom dashboards. Built for media.
Media intelligence in two modes: conversational AI or customizable dashboards. Cross-media pacing, digital and TV, with write-back to iPlanner and DRAX Studio.
mindster.io →Interactive programmatic video. With measurable carbon footprint.
Clickable layers over the video and native CO₂-saved tracking. Performance and ESG in the same format, display compatible on any DSP.
see the format live →Media data hub. Normalized. Reconciled. Production-ready.
ETL from DV360, Meta, TikTok, Google Ads and CM360 into one schema, auto-mapped against the iPlanner plan, on a durable Data Warehouse.
Ad serving, creative studio, streaming ads. One platform.
Proprietary ad server, no-code creative Studio and Streaming Ads with no third-party vendor in between. First-party telemetry independent of the platforms.
Operational guard rail. Real-time runway for ad ops.
A browser extension that validates campaign configuration in DV360, Meta and Google Ads at runtime, before the click, against the iPlanner plan and taxonomy.
How we operate
01
Every project starts with an architecture question, not a technology one. The stack is a consequence. The problem is the starting point.
02
AI, data and cloud as native components, not layers added later. Each feature is designed to scale.
03
Products running in production, with monitoring, observability and ownership of the result. Not reports. Products.
What we stand on
(01)
Everything is born from solid architecture, driven by engineering and precision. Without structure, nothing scales.
(02)
AI, data and cloud do not live apart. They meet, complement and compound each other.
(03)
Complexity absorbed and returned as clarity. Systems that work without needing explanation.
Proof, not promises
In production. Each one sold standalone.
Digital and TV in one natively connected stack.
From weeks to hours, inside iPlanner.
Saved, permanent views built by chat in Mindster.
The moment is now
Bring the problem. We start from the architecture question and tell you, honestly, what we would ship.