Airline Product Discovery

Attribute-based
discovery for airline retailing

The neutral discovery layer that connects traveler intent to airline products.
Built for NDC. Designed for Offers & Orders. Ready for AI-driven distribution.

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400+ Airlines Indexed
<300ms Discovery Latency* *Based on internal testing; not independently verified.
17× Fewer Pricing Calls* *Based on internal testing; not independently verified.
NDC21.3–24.1 Compliant

Context

Retailing has changed.
Discovery has not.

NDC and the ongoing transition to Offers & Orders were designed to modernize airline distribution — enabling richer products, personalized offers, and genuinely differentiated retailing. While adoption continues to advance across the industry, the ecosystem still depends heavily on brute-force shopping and price-first comparison. The infrastructure has been rebuilt. The discovery layer has not.

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Price as an attribute

From price to product shopping

Price will always matter — but it is only one attribute of an airline product. Travelers increasingly make decisions based on comfort, flexibility, onboard experience, and overall value — yet most of this differentiation remains invisible at the moment it matters most: discovery.

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Facilitate decentralization

The Meta-Layer for Product Discovery

The NDC ecosystem is, by design, decentralized. Without a shared layer above it, the ecosystem becomes fragmented and expensive to navigate. Our product discovery and routing layer sits above the carrier APIs without replacing them — enabling attribute-based discovery while leaving pricing and order creation entirely with the airlines.

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AI Changes the Equation

Built for the future of distribution

AI travel agents do not shop the way humans do. They do not browse, compare visually, or tolerate latency-heavy discovery flows. They operate on intent, constraints, and product attributes — and efficient product discovery is the prerequisite for AI-native airline retailing.

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The Case for Change

Product before price

The Limits of Price Competition

Retailing built around price comparison commoditizes airline products. Experience differentiation restores commercial leverage to carriers and delivers genuine value to travelers.

Attributes Are the New Interface

Products defined by attributes - comfort, flexibility, services, sustainability - are intelligible to both humans and machines. This is how modern retail works, and airline distribution is no exception.

Who Is It For
  • Airlines
  • NDC Aggregators
  • OTAs & Metasearch
  • TMCs & Corporate Tools

Platform

What We Do

We organize airline products into normalized attributes infrastructure so travel platforms and AI agents can identify relevant options before querying airlines. We solve a structural problem the industry has learned to live with - but no longer has to.

01
Discovery

We enable attribute-based product discovery across the decentralized NDC ecosystem.

02
Real-time platform

Our platform aggregates and normalizes airline product definitions, and links them to routings and schedules.

03
NDC precision

We deliver highly targeted, intent-verified requests to the correct airlines' NDC hosts.

Boundaries

What We DON'T Do

We do not set or compare prices

We do not touch airline pricing. Fare construction, yield management and offer pricing remain entirely within each airline's own systems - we surface product attributes before a price is ever requested.

We do not create offers or orders

Offer assembly and order management stay with the airline and its NDC host. We provide the discovery layer that routes intent to the right carrier - the transaction is never ours to own.

We do not replace airline systems

We are an upstream complement, not a replacement. PSS, NDC API, revenue management, distribution - all remain exactly where they are. We add the product discovery layer that sits in front of them.

Because we believe Airlines should retain full commercial and operational control.

The Sequence

How It Works

Four steps from traveler intent to airline-ready request - automated, attribute-driven, and built for the NDC era.

1
Step 01

Intent Capture

A traveler, AI agent, or TMC tool expresses a need by attributes - route, comfort, flexibility, sustainability tier - not a fare class.

2
Step 02

Product Matching

Rocket Equation maps the intent against its normalized airline product graph - identifying which carriers offer matching products on the relevant routings.

3
Step 03

Targeted Request

A precise, intent-verified shopping request is dispatched only to the airlines whose products can fulfill the need - eliminating wide-fan brute-force calls.

4
Step 04

Offer & Order

Airlines respond with live NDC offers. Pricing, ordering and fulfillment remain entirely within the airline's own systems - we never intermediate the transaction.

Want to see it live? Use our Contact form to request a demo.

The rationale

Why This Matters

As airlines move toward modern retailing and travelers increasingly rely on AI assistants to plan trips, the industry still adapts old habits to a new protocol.

The gap is not NDC adoption - it is product discovery infrastructure. Before sellers can present differentiated offers, they need to know which airlines provide relevant products on relevant routings - without asking every airline at once.

That is the problem Rocket Equation solves. Not shopping. Not pricing. Not booking. Discovery. The step before everything else.

Native to the entire ecosystem

Proper representation

Your control, preserved

You define the product. You price the offer. You own the order. We simply make your products discoverable - consistently and efficiently - across indirect channels.

Get the value of Higher ancillary attachment, Better product differentiation and Reduced distribution inefficiency while keeping Lower shopping volume with Higher conversion rate and Cleaner NDC traffic patterns.

Simplified Discovery

Smarter requests, cleaner pipelines

The cost of wide-fan shopping is borne by every participant in the chain. Discover eligible products first - then send targeted, intent-verified queries and request pricing only where it matters.

Lower infrastructure cost. Higher conversion.

More intelligence

Powering AI-Driven Travel at Scale

Traveler intent should be resolved upstream, not filtered downstream. Our Meta-Layer API gives AI travel agents a native way to discover airline products based on intent and attributes, allowing them to reason on structured data - reducing search cost, improving relevance and consistency.

We enable AI Agents to understand airline products. Less brute force. More intelligence.

Better experience

Your Best Customers Don't Shop on Price.
Neither Should Your Technology.

High-value clients care more about what they get. We help you discover travel options that really meet their needs - before price enters the conversation.

Because for affluent travelers, value beats price.

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The name

Why Rocket Equation?

In physics, the rocket equation defines a fundamental constraint: the amount of fuel you need to deliver a payload in space grows exponentially for every extra pound of payload. No amount of engineering can remove this constraint. The only thing that can be optimized is efficiency.

Airline distribution operates under the same constraint.

As airline products become more complex, the cost of discovery increases - often exponentially. More attributes. More combinations. More waste. Data is the fuel. By structuring airline products and resolving intent before shopping and pricing, we reduce the amount of data required to return relevant offers - without sacrificing choice or control.

There is no free discovery. You cannot cheat the equation.

Δ v = ve ln
m0 mf
Tsiolkovsky's Rocket Equation, 1903

The People

Meet the Team That
Already Solved It Once

For the past decade, we've been working on both the price and product sides of the airline distribution equation.

We have designed, built, and maintained high-availability, low-latency distributed systems operating under extreme traffic and data complexity, powering airfare pricing, shopping, and product definition at scale.

Our major achievements include the development of an independent, full-scale airfare pricing and shopping engine (acquired by a long-established institution at the center of the airline industry) and the design, implementation, and scaling of a product-attribute API that has seen broad global adoption.

This is not a team that learned airline distribution from the outside, and we are now employing all our expertise in what we envision as the next big step of airline retailing.

Nikolay Mishkalov
Nikolay Mishkalov
Founder & CEO

Startup founder and ex-ATPCO, propelling airline product discovery into higher orbit.

Yavor Petrov
Yavor Petrov
Founder & CTO

Fueled by real-world problems and driven to build their solutions - ex-ATPCO, engineer and tech visionary.

Yovoslav Yovchev
Yovoslav Yovchev
Founder & Head of Product

Product leader with engineering background. Speaking both languages fluently so the right things get built, the right way.

Kaloyan Vangelov
Kaloyan Vangelov
Head of Growth

Travel industry insider turning hands-on experience and leadership across agencies, airlines, and GDS into measurable impact.

Vladimir Ivanov
Vladimir Ivanov
Lead Engineer

Software engineer with 15+ years of experience in airline pricing and high-performance APIs.

Ivan Bratoev
Ivan Bratoev
Principal Engineer

Software engineer with 10+ years of experience in travel tech infrastructure and distributed systems.

Keep up with us

Read our blog

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What a 64-Mile Flight Says About Travel Discovery

American Airlines launches its shortest-ever route — Miami to Bimini, 64 miles. But the real story isn't the distance. It's about why routes like this stay invisible to most travelers, and what that reveals about the limits of traditional search.

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17.03.2026 / 5 min read

When Better Comfort Isn't Searchable: What Lufthansa's Allegris Rollout Reveals

Lufthansa's Allegris business class is finally bookable — but travelers still can't search for it. A look at why airline product innovation stays hidden behind legacy discovery systems, and what it costs everyone in the ecosystem.

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31.03.2026 / 3 min read

Cabin Labels Don't Tell the Whole Story: Why Discovery Needs to Understand Intent

Thai Airways sells lie-flat seats labeled as premium economy — and most travelers will never find them. The case for moving beyond cabin class categories toward intent-based, attribute-aware flight discovery.

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Whether you have a specific operational challenge, want to explore a partnership, or are simply curious whether our model fits your needs - we would like to hear from you.

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