Astrodata / Paradero
For the May 22 board
Forty tools that don’t talk to each other isn’t a tool problem. It’s a data problem wearing a tool problem’s clothes. We build the data layer underneath, reverse-feed it back to the systems that need it, and put a conversational surface on top so your team can ask the business questions instead of digging for answers.
The instinct is to consolidate the stack and hope the rest sorts itself out. The actual unlock is to build the unified data layer underneath the tools, reverse-feed it back into the few systems that still earn their place, and put a conversational AI surface on top so the team can ask the business questions instead of digging through dashboards.
That’s the architectural move. It also happens to be the work we’ve been doing for years, well before AI made it fashionable.
Pace, comp set, and demand signals into a single forecast you can interrogate in plain language. Recommendations write back to the rate management tool when you say so, not before.
One pipeline view across travel-advisor, group, and corporate sources, with attribution into the marketing data layer. Every lead enters the unified guest profile from first touch, regardless of channel.
Server-side tagging into Meta and Google, channel ROI in one place, and a marketing data mart that earns the right to feed creative and bidding agents. Without clean attribution, AI optimization has nothing to learn from.
A guest profile that holds across direct, OTA, travel-advisor, and corporate channels. Voice and chat surfaces that check real-time availability, write preference tags, and hand off to a human with the context already written.
Service-recovery agents that route based on context, not keywords. Post-stay outreach that knows what the guest actually experienced. Complaint patterns that surface as data, not anecdote.
The architectural pattern underneath all five: a customer 360 data warehouse, reverse-ETL back into the operational systems that need it, a deliberately slimmer set of transactional tools, and a conversational AI surface that turns the data into recommendations and actions. Same pattern, applied to whichever back-office function moves the needle next.
Years of building modern data platforms, semantic layers, and embedded analytics for clients in regulated and complex domains. AI is the new lever; the data layer is the substrate that makes it work.
Formally trained team members. A growing portfolio of AI-first projects in production. Direct access to Anthropic’s roadmap and engineering team where it matters.
Every member of our team uses AI to build software and run business operations. We don’t just sell AI capability, we run on it, internally, and it’s how we get more value out of every hour we bill you.
It kills us to spend $4,000 a year on a tool we know we could build in a weekend. Increasingly we don’t, and we’ll help you make the same call where it makes sense for your business.
“How is the Strait of Hormuz closure going to affect my operations in this part of the world?”
Combinable. The common pattern is to start with Strategic Advisory, layer in Fixed Bid or Retainer when specific projects come into focus, then dial back to Advisory once execution is steady. The four models are levers, not lanes.
We’ll bring a draft proposal, the stack consolidation reading, and an opinionated take on where conversational analytics shows up first in your back office. You bring the room. We refine before the board.