AI operational decision intelligence for aviation

Airlines don't need more data. They need better decisions.

Melorin turns fragmented flight, fuel, weather, airspace and sustainability data into a Flight Digital Twin — one that predicts outcomes, simulates alternatives, and recommends better operational decisions.

Predict Simulate Recommend Act Measure
Melorin Flight Digital Twin dashboard

Flight Digital Twin — illustrative product view

Decision layer
Above existing airline systems — not a replacement for them.
Q4 2026
Target milestone: first EU airline pilot deployment.
Flight-first
Starting with fuel and operational efficiency, expanding across airline operations.

Product roadmap and pilot targets are forward-looking plans, not customer results.

How it works

One decision layer above your existing systems

Melorin reads operational data across the flight lifecycle and closes the loop with scenario analysis, recommendations and measured outcomes.

01

Understand

Build a unified picture of aircraft, flight, weather, fuel and constraints.

02

Predict

Estimate likely operational outcomes and emerging risks.

03

Simulate

Explore what changes when route, altitude, speed or timing changes.

04

Recommend

Rank practical actions with the reasoning and confidence behind them.

05

Measure

Compare outcomes and feed evidence back into the operational model.

Every recommendation should show its work

Melorin is designed to make AI recommendations operationally understandable: what changed, why it matters, what the alternative is, and what impact is expected.

  • Why?Explain the operational factors behind a recommendation.
  • What if?Compare alternative scenarios before acting.
  • ImpactTrack fuel, cost, time and emissions outcomes.

Product interface shown for illustration; live airline pilot results will be established through deployment and validation.

Melorin AI Copilot recommendation interface
Signature capability

The Flight Digital Twin

A unified operational representation of the flight that connects the data needed to understand, simulate and improve decisions.

01

Aircraft Twin

Aircraft identity, performance and operational characteristics.

02

Weather Twin

Weather conditions and forecasts mapped to the flight context.

03

Fuel Twin

Planned, actual and modeled fuel information for efficiency decisions.

04

Airspace & Route

Route structure, constraints and operational alternatives.

05

Operations

Operational constraints and relevant crew, schedule and maintenance context.

06

Sustainability

Fuel, CO₂ and sustainability information connected to operational outcomes.

Regulatory intelligence

CORSIA compliance, embedded — not bolted on

CORSIA is designed as intelligence embedded into the operational workflow, connecting flight and fuel information with emissions reporting.

From operational data to guided emissions reporting

Melorin's CORSIA workflow is designed around flight information, fuel consumption, SAF information, emissions calculation and MRV data.

ICAO
Annex 16, Volume IV methodology
MRV
Monitoring, reporting & verification workflow
One layer
Operational intelligence + sustainability
Melorin CORSIA reporting workflow
Platform roadmap

From a focused wedge to a broader airline software platform

Melorin starts with flight efficiency and decision intelligence, then expands as airline data, workflows and validated use cases grow.

01

Flight efficiency

Decision support for fuel and operational efficiency.

02

Scenario engine

What-if analysis across relevant operational alternatives.

03

AI recommendations

Ranked actions with reasoning, impact and confidence.

04

Weather intelligence

Weather context integrated into flight decisions.

05

Airspace intelligence

Route and constraint context for operational decisions.

06

Fuel analytics

Planned versus actual fuel and efficiency analysis.

07

CORSIA MRV

Flight and fuel information connected to emissions reporting.

08

Operational risk

Risk context incorporated into decision support.

09

Crew context

Relevant crew and operational constraints as the platform expands.

10

Aircraft context

Aircraft performance and operational characteristics.

11

Maintenance context

Maintenance information connected to operational decisions.

12

Outcome measurement

Measure the operational and sustainability impact of decisions.

Why Melorin

Operational intelligence, not another isolated dashboard

Melorin's differentiation is the decision loop: connect fragmented inputs, simulate alternatives, recommend an action and measure what happened.

1

Decision-first architecture

Designed around operational decisions rather than another standalone data view.

2

Domain-specific data fusion

Flight, fuel, weather, airspace and sustainability context brought into one model.

3

What-if before action

Explore alternatives before changing an operational decision.

4

Human-in-the-loop

Recommendations support airline professionals rather than replacing operational accountability.

Beyond operational intelligence

SILVANA

Trusted Digital Infrastructure for Real-World Sustainability

SILVANA is a trusted evidence layer that connects real-world sustainability data with methodology, verification, provenance and compliance — turning sustainability outcomes into traceable digital records.

SILVANA VALUE CYCLE
TRUSTED
DIGITAL
RECORD
Observe
Model
Analyse
Verify
Record
Use
01

Verifiable records

Digital representations linked to evidence and methodology.

02

Traceable evidence

Provenance designed to make sustainability claims auditable.

03

Digital trust

Cryptographic provenance and DLT anchoring where appropriate.

04

Starting with aviation

Airlines as the beachhead, with potential expansion to other sectors.

Two layers. One direction.

From better decisions to trusted outcomes

Melorin and SILVANA address different parts of the same sustainability journey: first improve the decision, then make the resulting evidence more trustworthy and usable.

Melorin

Operational Intelligence

Helps airlines understand conditions, simulate alternatives, recommend better actions and measure operational outcomes.

  • Predict
  • Simulate
  • Recommend
  • Measure
SILVANA

Digital Trust

Helps turn sustainability outcomes into evidence-linked, traceable and verifiable digital records.

  • Verify
  • Record
  • Prove
  • Connect
About

Building technology for better operational and sustainability decisions

Melorin is building an AI Operational Decision Intelligence platform for aviation — starting with flight efficiency and expanding toward a broader airline operations software platform.

SILVANA extends the broader thesis into trusted sustainability infrastructure: connecting real-world data, AI analysis, verification and digital provenance into a traceable evidence layer.

Current focus: Melorin remains the primary aviation product and commercial path. SILVANA is presented as a complementary infrastructure thesis, starting with carbon and aviation.
“Airlines don't need more data.
They need better decisions.”
“Measure. Verify. Prove. Connect.”

Ready to explore better operational decisions?

See how Melorin connects airline data, simulation and AI recommendations into one operational decision loop.

Get in touch

Let's build the next layer of aviation technology

We're interested in airline pilot partners, strategic aviation and sustainability partners, and conversations with investors.

Melorin pilot / demo

Tell us about your airline, fleet and operational focus. We'll arrange a focused walkthrough.

Contact Melorin
info@melorin.tech

SILVANA

Explore the trusted digital infrastructure thesis for real-world sustainability.

Visit SILVANA
silvana@melorin.tech