AI travel technology · Santa Fe, New Mexico
Travel AI that plans like someone who has run the trip
Nova Adventure turns your operational truth (supplier hours, capacity, pacing, weather and policies) into personalized itineraries that route correctly, book cleanly and re-plan live. We make those trips visible and bookable wherever travelers ask, and keep your people in charge of every decision that matters.
Who we work with
Start where your operation starts
Every kind of tourism business breaks in its own places. Pick yours and we'll show you which modules and services matter, and which you can skip.
- OperatorsTour operators & DMCsTurn a rambling inquiry email into a routed, priced draft proposal your team edits instead of writing from scratch.
- AdvisorsTravel advisors & agenciesDraft itineraries in your voice, with supplier confirmations parsed and filed while you're still on the phone with the client.
- DMOsDestination organizationsA trip planner grounded in your destination's real hours, capacity and seasons, and legible to the assistants visitors already use.
- LodgingHotels, resorts & lodgesSee cancellations coming, shape shoulder-season packages, and give guests a concierge that knows the canyon road is closed.
- ExperiencesExperiences & activitiesMake your tours and tickets findable and bookable by AI agents, under your rules and at your margins.
- EventsCorporate travel & eventsRoute eighty people across three venues, then re-plan the afternoon in minutes when the keynote runs long.
- AdventureOutdoor & adventure travelWeather exposure, daylight, elevation and energy budgets built into every route, with guides approving every change.
The platform
Six modules, one shared picture of what's possible
Each module works on its own. Together they share one data layer (your suppliers, hours, capacity, policies and traveler preferences), so a change made in one place is true everywhere.
- Itinerary StudioTurns a traveler's half-said wishes into a personalized, bookable multi-day proposal. Your advisors edit the draft; nothing goes out on its own.
- Route EngineConstraint-based routing across opening windows, drive times, pacing and energy budgets, accessibility, weather exposure and lower-carbon options.
- Booking FlowSends supplier requests, reads confirmations in whatever format they arrive (including fax-to-email), issues vouchers and reconciles payments. Odd cases go to a person.
- SignalsForecasts demand, flags cancellation risk and price sensitivity, and finds the shoulder-season weeks worth shaping before they arrive empty.
- ConciergeAn in-trip assistant on web chat, WhatsApp, SMS and email that re-plans live and hands off to your staff, with full context, when it should.
- Agent GatewayAn MCP server and agent-safe checkout so AI assistants can find and book your inventory directly, on your terms, with attribution you can see.
Interactive · Live re-planning
A storm is coming. Watch the day re-plan itself.
A couple on day three of a northern New Mexico trip. At 8:10 PM the evening before, the forecast changes. Here is their day before and after, and the reasoning behind every move. Nothing reached the travelers until their guide approved it.
Thunderstorm cell forecast over the high trails from 1:40 PM, with lightning risk until about 4:30 PM
- Moved the exposed overlook to 7:30 AM, the calmest window and well clear of the 1:40 PM storm cell.
- Shortened the mesa hike so both walks fit the couple's energy budget and finish off the rim before noon.
- Slid the indoor pottery session into the storm window instead of cancelling anything, and moved lunch indoors at the same café.
- Left the cooking class and sunset plan untouched. The storm clears in time, so changing them would only be churn.
- Drafted notes to the studio and the café, and sent the whole plan to the guide for approval before the couple saw a thing.
- 8:30 AMMesa-top hikeGuided 3-mile loop with an exposed rim section
- 11:30 AMPottery studioHands-on session with a local potter
- 1:00 PMLunchPatio table at a café near the plaza
- 2:30 PMHigh trail viewpointShort drive, then a 40-minute walk to an exposed overlook
- 5:30 PMCooking classNorthern New Mexican dishes, reserved for two
- 7:45 PMSunset overlookRidge-top viewpoint west of town
- 7:30 AMHigh trail viewpointRe-plannedMoved from 2:30 PM into the calm morning window; guide pickup at 7:00
- 9:45 AMMesa-top hikeRe-plannedSwitched to the 2-mile loop; off the rim by 11:45
- 12:15 PMLunchRe-plannedSame café, indoor table instead of the patio
- 1:45 PMPottery studioRe-plannedMoved into the storm window; studio confirmed the open afternoon slot
- 5:30 PMCooking classKeptKept as booked
- 7:45 PMSunset overlookKeptKept; storms forecast to clear by 4:30, covered viewpoint held as backup
Live re-planning
Re-plan the day instead of rebooking the trip
A storm, a closed trailhead, a shuttle stuck behind a rockslide. Most operators still handle these by phone, one supplier at a time, while travelers wait in the lobby. We treat the itinerary as a living plan. When something changes, Route Engine recomputes the day against the same constraints it was built on, Booking Flow drafts the supplier changes, and Concierge tells the travelers, once a person on your team says yes.
- Only the affected hours move. Confirmed bookings that still work stay put.
- Every proposed change shows its reasoning, so approval takes seconds instead of a phone tree.
- Playbooks for your recurring disruptions (monsoon afternoons, fire closures, late arrivals) run the same way every time.
- Each re-plan is logged: what changed, who approved it, and what it cost.
AI visibility
Be the lit window when an assistant goes looking
More travelers now ask an AI assistant before they ask a search engine, and assistants recommend what they can read, verify and book. A small inn with a lovely website but no structured availability, vague policies and no agent interface simply doesn't come up. We make independent businesses legible to assistants and bookable by agents, without handing the customer relationship to an intermediary.
- Structured content and policies that assistants can quote accurately and cite.
- Live availability exposed through Agent Gateway, our Model Context Protocol (MCP) server.
- Agent-safe checkout with spending limits, confirmations and attribution you control.
- Ongoing measurement of where and how assistants mention you, and what changes it.
How we work
Small bets, measured honestly, then scaled
We don't open with a platform rollout. We open with your real operation and one measurable bet, and we earn the next step.
- 01
Discovery Sprint
3–4 weeksWe sit with your reservations desk, read a month of inquiry emails and map where the hours actually go. You leave with a ranked opportunity map, a pilot design with a baseline, and a written quote.
- 02
Clean the operational truth
Start of the pilotSupplier hours, capacity, policies and content go into one model, with gaps flagged rather than guessed. Most of the eventual quality is decided here.
- 03
Pilot on live trips
8–12 weeksOne or two modules, one team, real travelers. We measure against the baseline every week and tell you plainly if it isn't working.
- 04
Scale what earned it
After a go decisionAdd modules, channels and integrations on the same data layer. Nothing new goes live without an evaluation set and an off switch.
- 05
Operate and tune
OngoingWe watch grounding, latency, cost and override rates, and tune the system as your seasons change.
Services
Services that make it work in a real operation
Software alone rarely changes an operation. These are the engagements we run alongside the platform, or on their own.
- AI Strategy & Discovery SprintA three-to-four-week diagnostic that ends with one pilot worth running and a roadmap you can defend to your board.
- Agentic Commerce ReadinessInventory, policy and checkout changes so AI agents can transact with you safely and on your terms.
- AI Search Visibility for TravelMake your brand citable and recommendable when travelers ask an assistant where to go and where to stay.
- Custom Travel Software DevelopmentBooking engines, planners and apps built on Nova components instead of from a blank page.
- Travel Data Engineering & IntegrationUnify PMS, reservations, CRM, supplier and content data into one dependable model of what's possible.
- Disruption Response AutomationPlaybooks and automation for weather, closures and delays, with your team approving every change.
- Managed AI OperationsEvaluation, monitoring and tuning for AI features once they're in front of real travelers.
- Responsible AI & Traveler Data GovernanceConsent, data minimization, bias and safety reviews designed in from the first sprint, not bolted on at launch.
Selected work
Field-tested with operators like you
Our clients stay anonymous; their problems are familiar. Results on each case study are pilot measurements and are labeled that way.
- Tour operator · AlpsMulti-day walking tours in the AlpsA family-run walking-tour operator shortened proposal drafting and started re-planning stages around weather instead of cancelling them.
- DMO · Mountain WestA Mountain West destination organizationA regional destination organization launched an agent-ready trip planner grounded in its own data, and used it to spread visitors beyond its busiest trailheads.
- Lodging · High desertA collection of desert lodgesA small group of high-desert lodges used cancellation-risk signals to act before rooms went empty, and built shoulder-season packages around the weeks Signals flagged.
- Corporate eventsA corporate offsite planning firmAn offsite planner routed groups across venues and wrote disruption playbooks that re-plan the day before the shuttle leaves.
The storm re-plan was the moment our team stopped calling it 'the AI thing.' It moved one walk, kept our dinner booking, and asked our duty planner before it told the walkers. That last part is why we kept going.
Where we're from
Built in the high desert, where context is everything
We work from Santa Fe, at roughly 7,000 feet, where a July afternoon can turn from blue sky to lightning in under an hour and the detour around a closed road can take most of a morning. It's a good place to learn that a plan is only as good as its assumptions. We bring that habit to every engagement: ask what is actually true today, plan for what's likely, and leave room for what isn't.
- Monsoon afternoons taught us to model weather exposure, not just weather.
- Long distances between stops taught us that drive time is a constraint, not a detail.
- Small, independent businesses taught us that being findable is a matter of survival.
Field notes
Recent thinking from the field
- Agentic travelHow to make your tours bookable by AI agentsAn MCP primer for travel suppliers: what to expose, what to keep behind a person, and where agent checkout goes wrong.
- Route scienceThe itinerary is a constraint problemWhy a good day out is a solved set of windows, distances and energy, and what that means for the software that builds it.
- Strategy & trustDraft, don't decideKeeping travel advisors in the loop without turning them into a bottleneck.
Related
Keep exploring
- PlatformPlatformSix modules for proposals, routing, booking, prediction, in-trip help and AI-agent checkout, on one shared data layer. Start with one, add the next.
- ServicesServicesEight services that make travel AI work in a real operation: strategy, agentic commerce, AI visibility, custom builds, data, disruption, AI ops and governance.
- SolutionsSolutionsAI solutions for tour operators, advisors, DMOs, lodges, activity providers, event planners and adventure outfitters, plus four cross-cutting use cases.
- WorkSelected workFour anonymized case studies from tour operators, destinations, lodges and event planners, with pilot results measured against a real baseline.
- CompanyOur approachHow Nova Adventure implements travel AI: operational truth first, then routing, prediction and automation, with people approving every decision that matters.
Bring us one messy week
Tell us about the inquiries, the confirmations and the afternoon it all went sideways. In a 45-minute discovery call we'll tell you where AI would help, where it wouldn't, and what we'd pilot first. No deck, no obligation.