Helix

One AI booking layer, two services. Helix Business: chat-first corporate travel. Helix Black: invite-only concierge via partners. Ask, and it's booked.

[Helix @HeyHelixAI]

Business travel shouldn't mean portals, forms and a PDF travel policy nobody reads. With Helix Business, your team just asks: "Barcelona, Thursday to Friday. Hotel near the conference."

See how it fits your travel programme: https://t.co/eDJrrCFKPe

[Gus Fraser @gusfraser]

Thanks to all the judges and @DigitalJersey for a great night. Delighted @HeyHelixAI won the AI award 🏆☺️

[Digital Jersey @DigitalJersey]

Congratulations to Helix, winners of the AI Award at the 8th Annual Jersey TechAwards! 🎉

[Helix @HeyHelixAI]

Want travel in your app? Real bank or not.

https://t.co/Wjr30Ar18X

[Helix @HeyHelixAI]

We just launched a bank! 🚨

Kidding. Neo Bank isn't real. Please don't send us your money. Unless you really want to.

But the AI concierge inside it is. The new Helix iOS SDK puts flight and hotel booking inside any app, in your colours, behind your login.

[Helix @HeyHelixAI]

Light, dark, navy or yours: 15 colour tokens, one config call.

Your users sign in once. To you.

[Helix @HeyHelixAI]

It lives in your tab bar, not ours.

Home knows about the trip. Tap a "Helix Travel" card payment and it opens the booking.

[Helix @HeyHelixAI]

"Work it harder, make it better
Do it faster, makes us stronger" 🤖💪

[Gus Fraser @gusfraser]

Congrats @typesafeai team... tested Jev on some @HeyHelixAI core routing functions (for example "Is this a flight / hotel / restaurant / experience request?") against 100s of evals. Early test results:

- Accuracy on par with, or slightly ahead of, the (already small, fast, cheap) LLMs we use today, on real user messages the models had never seen ✅
- Roughly 4x faster: about a quarter of a second per decision, versus 1 to 1.7 seconds (note some of this was network latency from Europe - US) ⚡
- A fraction of the cost per call 💷
- Confidence that means something: when it said it was confident (0.8+), it was right 96 to 100% of the time 🎯
- Matching remembered traveller preferences to hotels ("does this hotel have what I like?"): it found 97.6% of real matches, with zero false positives 🏨

Headline image from https://t.co/4ZIhUdHseJ - go check it out

[Gus Fraser @gusfraser]

Congrats @typesafeai team... tested Jev on some @HeyHelixAI core routing functions (for example "Is this a flight / hotel / restaurant / experience request?") against 100s of evals. Early test results:

- Accuracy on par with, or slightly ahead of, the (already small, fast, cheap) LLMs we use today, on real user messages the models had never seen ✅
- Roughly 4x faster: about a quarter of a second per decision, versus 1 to 1.7 seconds (note some of this was network latency from Europe - US) ⚡
- A fraction of the cost per call 💷
- Confidence that means something: when it said it was confident (0.8+), it was right 96 to 100% of the time 🎯
- Matching remembered traveller preferences to hotels ("does this hotel have what I like?"): it found 97.6% of real matches, with zero false positives 🏨

Headline image from https://t.co/4ZIhUdHseJ - go check it out

[Gus Fraser @gusfraser]

What is intelligence? Memory? Just a bunch of facts used at the right time?

I’ve spent a lot of time thinking about agent memory. Tulving’s 1972 work on episodic vs semantic memory is surpisingly still very relevant - how does human memory work - referenced by lots of much more recent papers on agentic memory.

At @HeyHelixAI we use our own custom relational data store plus @zep_ai Graphiti + @falkordb - storage is the relatively easy bit; context is a bigger challenge. Retrieving the right memory, in the right context, at the right time, efficiently, and ensuring the agent has acces to retrieve more if necessary (tools etc.)

If I ask for a hotel in the Le Marais neighbourhood twice, is that now a preference? Just for Paris? Does it decay? Should the agent ask before assuming? What would a human do?

Such a fascinating challenge... @MillaJovovich thinks so too (didn't use @mempalaceai for this tho).

Anybody else working on interesting memory challenges? Keen to share notes.

[Gus Fraser @gusfraser]

To WiFi or not to WiFi? @Starlink is fast becoming a differentiator for business travel... so we built this into @HeyHelixAI. Helix remembers all your preferences so flight results are always ranked uniquely for you; for example "must have Starlink flying 5h+ in daytime"

Some people prefer to switch off when they're flying and that's totally fine, but for some (me included!) good WiFi is a differentiator, especially travelling long haul. The amount of work I can get done uninterrupted and focused has sometimes surprised me! I have backup approaches using @ollama and local LLMs for some tasks (or even write or code manually sometimes, crazy I know!). But Starlink is definitely a game changer.

Do you insist on WiFi on planes? Whether you do or you don't, Helix might still be for you / your company - check it out: https://t.co/GWMHUNwpBw

[Gus Fraser @gusfraser]

Let's talk about evals... AI without evals is like having junior colleagues and never checking their work. Ever. Just hoping they get it right every time. Obviously not a great strategy!

Running evals occasionally isn't much better. That's the equivalent of a 1:1 every few months vs actually looking at what someone produces day to day.

Humans make mistakes. Without a framework to catch them, the business pays for it eventually. Agents are no different... except you can test agents constantly, 24/7, and they don't even mind, even when you give them 'feedback' 😅

@HeyHelixAI runs over 40 agents. Many of them have a narrow remit with one job. Narrow jobs are testable jobs. Every agent ships with its own golden dataset before it ships; we run those with the help of @pydantic 's Logfire (which we love for a bunch of reasons, evals being one of them, go check it out!).

When do we run evals?

1. When a system prompt changes. Ours are assembled dynamically, so one edit can mean dozens of permutations to check.
2. When we're evaluating a model. New ones land every few weeks, and the cost/quality trade-off shifts every time (sometimes less thinking / reasoning can increase accuracy AND reduce cost!)
3. On every conversation. Not "did the LLM think it went well" but did the booking actually happen, did the search actually return the specific results, did we tell the user when it didn't.
4. In Continuous Integration (CI). GitHub Actions, run conditionally depending on what actually changed.
5. When production catches a failure or edge case from real users. That conversation becomes a new eval case so the same mistake can't creep back in.
6. When we add a new agent. Obviously! Agentic engineering works best with test-driven development.

The holy grail is closing the loop properly: a failing eval raises a GitHub issue, an agent picks up the issue and proposes a fix, another agent makes the necessary change(s), the evals run again, and a human reviews the diff before anything ships. Same process we'd use for a colleague's PR. Which is sort of the whole point. I'm always happy to wake up in the morning & see that the robots have been self-improving! 🤓

What triggers evals for you? Do you have a continuous loop in place?

[Helix @HeyHelixAI]

You can make requests to @HeyHelixAI in English, French or a mixture! More languages coming soon...

[Gus Fraser @gusfraser]

Wait, why did you start speaking English with a French accent @HeyHelixAI ?? 🇫🇷🥖😂

Merci @ElevenLabs for ze voice(s) 🙏

[Staynex ™ @staynexcom]

Most of the world automated years ago.
Corporate travel didn't.

@gusfraser, our Chief AI Officer, shares how @HeyHelixAI powers travel that is AI native from the ground up, and why agents that take the task beat chatbots that wait to be asked.

Full read on @TechBullion: https://t.co/kgve31Y5cv

#AgenticAI #TravelTech @sleap_io

[Staynex ™ @staynexcom]

🤝 We’re excited to announce our new partnership between Staynex and Dragonpass, a global leader in travel and lifestyle privileges.

Through this collaboration, Staynex members will benefit from expanded access to premium travel perks and lifestyle experiences such as airport lounge passes and fitness and wellness experiences to name a few, helping make every journey more rewarding and seamless.

Together, we’re combining smarter travel membership with world-class privilege access to deliver greater value, flexibility, and convenience for modern travelers.

Read the full press release: https://t.co/n3FPfA77qn

#Staynex #DragonPass #Partnership #TravelPerks #SmartTravel

[Staynex ™ @staynexcom]

Singapore to Sri Lanka, the rooms leaned in. The momentum is real 🌏🔥

Day 1: What has Staynex actually built?
@sleap_io + @staynexcom: 2.65M hotels, 300+ crypto and fiat rails, $1M revenue before institutional capital.
@HeyHelixAI: 30+ AI agents live, corporate booking, policy and expenses all automated.
https://t.co/v2k5GmwyW6: the single app the traveller ever opens.

Day 2: A bigger question.
How can travel innovation and AI infrastructure help Sri Lanka win globally - smart money, talent, digital nomads, and long-term partners, not just tourist volume.

Not a monologue. A dialogue. And Staynex has a role to play.

This week was a milestone, not a finish line 👀

#Staynex #AITravel #HelixAI #SriLanka @hatchonline

[Staynex ™ @staynexcom]

Two cities. One very clear direction.

Thank you to the Tourism Board of Sri Lanka, our investors, leaders, and partners who joined us across Singapore and Sri Lanka.

Having @SpeakerJeff and @Evra as part of this journey is a signal in itself. The calibre of people in the room matched the calibre of the conversation.

Travel is going AI native, and Staynex is building the infrastructure layer.

The momentum is real and it is only going one way. The best is ahead.

[Helix @HeyHelixAI]

@SolLunix @Cointelegraph @staynexcom Yes. And we're here for it! 🤖

[Helix @HeyHelixAI]

@Im_Aman2 @Cointelegraph @staynexcom Helix knows when you're on a trip so if you just forward and email or upload a photo that's literally all you have to do. Auto classification and extraction of relevant data for you to submit when you get home.

[Helix @HeyHelixAI]

@TokenTalk3x @Cointelegraph @staynexcom Hyper-personalised flight, hotel and restaurant recommendations based on your preferences as well as your corporate travel policy. Helix learns from your searches and selections implicitly as well as what you say explicitly, all whilst saving you time and money!