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Many CO2 methodologies adhere to the standard calculation procedure.
We take it a step further.

Our proprietary routing algorithms and vast amount of data help us surpass standard methodologies, enabling optimal route search and accurate carbon emissions.

“Proudly recognized as the most accurate carbon emission solution in the market”

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Navigating carbon emissions with

Our unique formula for reliable calculations

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Granularity of data

At Searoutes, data intelligence is at the core of what we do, and that is why we take pride in our algorithms, which rely on a robust database of historical AIS data. These algorithms are further enhanced with data inputs from +6k vessels, their technical information, carrier schedules, among others.

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Scientific approach

Our engineering team continuously calibrates and fine-tune our models against reliable primary data. If your models don’t add up to existing primary data, we will make them evolve. This ongoing calibration ensures accuracy and transparency.

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Routing optimization on the network

We give you valuable insights to minimize carbon footprint while optimizing operational and procurement efficiency. It also helps us to fill in the blanks of incomplete data with a business-savvy approach, allowing you to get the most accurate emissions insights your data can get.

Evaluate data outputs with

Dynamic API results based on your inputs

The information you can provide are a crucial part of our CO₂ calculation models. Our ability to enhance data modeling depends also on your data inputs.

To offer you the utmost accuracy in your carbon emissions, our methodology and powerful algorithms include:

  • Terrestrial and Satellite AIS data
  • Extensive base of carriers schedules
  • Vessels technical and operational information
  • Information on traffic separation schemes, piracy areas, and port entries
  • Fuel type analysis, including emission control areas at sea (ECA/SECA)
  • factors model
    Turning minimal data into great insights

    Factors Model

    We use the latest GLEC version and ISO compliant emission factors to compute CO₂ emissions between two locations, for any mode of transport.

    Elements considered:

    • Shortest feasible distance
    • Tradelanes emissions factors
    • Cargo characteristics (size, weight, dry or reefer, etc.)
    • Fuel types (and fuel switch for emissions control areas at sea)
    • Vehicule type (air, road and barge)
    • For air: GLEC emission factors based on the length (short, medium, long haul) of the flight and the aircraft type (passenger, cargo or unknown).
  • schedules model
    Ship smarter, ship greener: perceptive insights for planning strategy

    Schedules Model

    This endpoint has been specifically designed to help shippers make the best decisions when choosing carriers solutions. We calculate the itineraries operated by the carrier based on their services (and their alliance) and for each, we compute the CO2e emissions of each vessel operating, and return the statistics.

    Elements considered:

    • Network distances
    • Cargo characteristics
    • Fuel consumption model considers the engine characteristics of the vessel, its fuel types, and fuel switch for emissions control areas, and the vessel characteristics for the allocation of the emissions.
  • Ship model
    Get spot-on CO2e emissions with ship-specific data

    Ship Model

    This solution returns CO2e emissions between two locations, taking into account the exact characteristics of the requested ship to model its fuel consumption.

    Elements considered:

    • Shortest feasible distance
    • Cargo characteristics
    • For sea, fuel consumption model considers the characteristics of the vessel, fuel types, and fuel switch for emissions control areas.
    • For air, fuel consumption model considers take-off, landing, climbing, descent and cruising phases, and the aircraft characteristics for the allocation of the emissions (EEA/EMEP methodology and EUROCONTROL data).
  • historical model
    Navigate historical AIS data for journey-specific CO2 reporting

    Historical Model

    This endpoint is designed to report emissions for shipments based on the vessel itineraries computed from historical AIS data. Depending on your input, we return the CO2 emissions on vessel level, carrier level, or industry level.

    Even if you don’t have all the information in hand, we can make the most out of it. We’ll compute the most likely itineraries and vessels operated at a specific date, and return the CO2 statistics for it.

    Elements considered:

    • Actual distances
    • Port calls operated at a specific date for each vessel
    • Connecting vessels
    • Cargo characteristics
    • Fuel consumption model considers the engine characteristics of the vessel, its fuel types, and fuel switch for emissions control areas, and the vessel characteristics for the allocation of the emissions.
  • road-model
    Sharing is caring: minimize carbon footprint, maximize logistics efficiency

    Parcel Model

    This endpoint was specifically designed for milk run operations. It computes and assigns the right emissions to each order (parcel) of a pickup and delivery collection by road.

    This model, based on the HBEFA (handbook emission factors for road transport data), takes into account empty running distances along with load factor between each pickup/delivery location.

    Elements considered:

    • Shortest feasible distance between each location
    • As the crow flies distances between each location and the terminal location
    • Sequencing of the run
    • Cargo characteristics
    • Fuel type

To dig deeper in the understanding of our methodology, explore our API documentation.

Obtain a detailed certificate to acknowledge and communicate on one or multiple shipments emissions.

line Analyze your carbon emission sources and plan optimal strategies for a sustainable transformation

Identify where your biggest emissions are coming from and which initiatives should be implemented.

line Evaluate the impact of your choices

Carbon emission awareness to acknowledge how much are you currently emitting.


Optimizing for low carbon routes

Our planner helps you make data-driven decisions and identify the greenest carrier solutions

Our planner identifies the greenest, fastest and most reliable ocean carriers solutions, helping you make the best strategic and operational decisions to comply with your procurement and sustainability goals.

Incorporating our CO₂ planner into your tendering process opens up numerous possibilities to:


Evaluate the choices, considering the balance between sustainability, reliability and transit times.


Discover greener routes and options to minimize your carbon footprint.


Strategically allocate your shipment volumes to the most suitable carriers for your sustainability goals.


Reduce the need for investments in insetting and offsetting.

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An API-first approach to a more efficient supply chain

Searoutes makes it easy for any company to use carbon emission data.

Our API-first architecture enables you to enhance your systems with added value, facilitating precise emissions measurement and efficient reporting.

line Our APIs integrate seamlessly in the systems used by carriers, freight forwarders, shippers and solution providers.
line Accelerate your ability to further develop added value for your customers with reliable CO₂ emissions data.
line Easily match our API with your specific needs and scale your operations as your business grows.
line Our remarkable 99.9% uptime guarantees uninterrupted and smooth operation of your platform.
line Process multiple shipments via CSV.

What our customers say

“Through our collaboration with Searoutes, we have reached a significant milestone in crafting the inaugural Greenhouse Gas Certificate, which incorporates precise emissions’ data across all modes of transportation. As one of the pioneering freight forwarders, we take great pride in offering our customers comprehensive CO₂ footprint information and tailor-made solutions.”

Jan-Kenrik Hertel

Process and Operations Director of Andes Logística

Andes Logistica

70% of our main export customers

Now consider environmental care a critical aspect for the upcoming year.

Andes improved the granularity of their data

On Distance, CO₂e, Intensity, Well-To-Tank, Tank-To-Wheel.

Strategic decisions can only be data driven

Harness the power of data to optimize your network, minimize your footprint, and reduce insetting and offsetting costs.