- Specialization
- Not classified
- Business
Software Applicationsand 1 more business valuesLess
- Model Development
- Market
- Transportation
- Ecosystem
- Applications
- Customers
Enterprisesand 1 more customers valuesLess
- Developers
More details
- Organization type
- Commercial Company
- Ecosystem
- Applications
- Business
- Software Applications, Model Development
- Specialization
- Not classified
- Market
- Transportation
- Customers
- Enterprises, Developers
- Delivery models
- Hosted Software, API
- Revenue models
- Subscription, Usage Based
- Listing status
- Not classified
- Latest equity round
- Seed
- Reported funding amount
- Not classified
About
Skymerse builds an AI system for airline flight operations, spanning planning, monitoring, dispatch, and real-time cockpit support. It sells to airlines, operators, pilots, and aviation professionals; its differentiation is specialized aeronautical models that combine NOTAMs, weather, procedures, restrictions, aircraft limits, and operator requirements into shared, flight-specific operational context.
Market
Skymerse competes in B2B vertical SaaS and AI for airline flight operations, combining flight planning, operations-control decision support, and aeronautical-data interpretation. It positions itself as a shared decision layer spanning operations-center planning and monitoring through cockpit support, turning NOTAMs, weather, procedures, aircraft limits, and operator rules into flight-specific actions rather than merely displaying source information. Its main differentiation is specialized aeronautical models and persistent cross-team context for each flight, while competitors generally center on established flight-planning, OCC-monitoring, or broader airline-operations suites.
Skymerse targets commercial airlines and aviation operators—most naturally mid-sized to large organizations with operations-control or dispatch teams, live schedule/OCC feeds, and complex fleet or network constraints. Primary users and buyers are flight-operations leaders, dispatchers, OCC teams, cockpit-support teams, and aviation software platforms that need interpreted flight intelligence through an API.
At a Glance
Problem
Airline flight operations are fragmented across NOTAM tools, weather views, chart viewers, flight-planning systems, airport procedures, aircraft limits, restrictions, and company manuals. The operational picture exists across these sources, forcing dispatchers, operations-center teams, and pilots to interpret information manually and reconcile constraints for each flight. The resulting pain is the time, complexity, and operational risk of making flight decisions without one shared context. The clearest use case is turning aeronautical information—especially NOTAMs—into an actionable assessment of how it affects a particular flight.
Product / Service
Skymerse is building an AI system organized around the flight rather than around individual data sources or tasks. Its specialized aeronautical models interpret source material, structure operational concepts, connect related constraints, and maintain a shared operational context as a flight moves from planning and monitoring in the operations center to real-time support in the cockpit. The intended benefit is a continuous operational understanding of each flight that can augment existing airline systems and workflows instead of adding another isolated tool.
Notamify is the company’s first product and applies this approach to NOTAMs by interpreting each notice, structuring its meaning, and providing a basis for assessing it in operational context. Skymerse says this product already serves airline customers and thousands of pilots and aviation professionals, demonstrating an initial wedge into the broader flight-operations platform.
Market
Skymerse competes in airline flight-operations software and the emerging category of AI-enabled aviation operations, spanning dispatch, operational monitoring, aeronautical information, and cockpit support. The available materials do not identify named direct competitors; instead, they describe the incumbent alternative as a fragmented collection of NOTAM, weather, chart, flight-planning, and procedure tools. Skymerse’s differentiation is the proposed cross-source, flight-centered intelligence layer rather than automation of only one task.
The company was founded in 2025, is active, and is backed by Y Combinator in its Summer 2026 batch. It is developing the broader system with airlines and operators, while Notamify already has airline customers and thousands of individual aviation users. No revenue, funding amount, or profitability figures are disclosed in the available evidence, so the company appears to have early commercial traction but its financial scale and revenue status cannot be determined.
Founders & Leadership
Funding History
Y Combinator
Recent News
Skymerse publicly launched on Y Combinator’s Launch YC platform with an AI system designed to automate airline flight operations, from planning and monitoring to cockpit support. The company said its underlying Notamify product already serves airline customers and that it is onboarding airlines to automate their flight operations.
Y Combinator’s AI-startup directory dated 2026-08-13 lists Skymerse as an active S2026 company based in Warsaw, Poland. The listing describes Skymerse as building an AI system for airline flight operations.
LOT Polish Airlines deployed Notamify’s operating system to monitor airport NOTAMs across its network using dashboards and email alerts. Skymerse’s enterprise materials identify this deployment as an airline use case for its first product.
Notamify announced native iPhone and iPad installation, along with web-app installation options for Android and desktop users. The release expanded fast, one-tap access to the product that later became Skymerse’s first product.
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Get notified when they postBusiness Model
Skymerse monetizes through Notamify’s freemium and paid subscription offerings, including a Pro plan priced at $24.90 per month. It also serves airlines through enterprise deployments and offers API access with standard published, custom, or volume-based pricing.