A Platform to seamlessly connect
enterprise activity data and derive
insights to power your net zero journey.

The Planckton platform is built to manage
the entire carbon data lifecycle by automating
data collection, conversion and producing
insights quickly without the need to make
extensive changes to existing systems.
Our data platform automates the process of understanding
emissions footprint. Accurate and auditable calculations across
Scope 1, 2 and 3 emissions yield better and faster financial, production
and operational decisions.
Discover and acquire data faster.
We automate source data discovery
and integration across all scopes by
interfacing with existing systems,
sensors and third-party data sources,
creating interoperability.
Our platform data model adheres to the ISO, GHG Protocol
and WBCSD Pathfinder (Scope 3) standards. A rich set
of Application Program Interface (API) ensure interoperability.
This leads to lower cost of data as GHG data management
requirements scale and allows you to collect real time,
granular data through digitized customer journeys.
>IIoT Integration model
Manage the complex landscape of emissions calculations.

Planckton maintains extensive libraries for
emission factors, Global Warming Potentials
(GWPs) and reference data from a range
of public and commercial data providers
on the platform.

Our calculation and reporting engines are constantly updated
with the latest global regulatory and technology changes,
to make sure the best data is always available to guide
decision-making and ensure regulatory compliance.

Rapid insights that drive measurable change.

Data derived from the Planckton platform
provides a robust, real-time, granular view
of the sources of carbon emissions across
company operations.

Data derived from the Planckton platform provides a robust,
real-time, granular view of the sources of carbon emissions
across company operations. It offers important insights
into decarbonization opportunities and various intervention
options and predictions, augmented through machine
learning models. Effective management of carbon data
gives companies the ability to make data-driven decisions
that increase revenue, reduce cost, minimize risk and build
corporate reputation.

  • Quickly get to insights with out-of-box analytical dashboards, KPI and metrics libraries
  • Pre-configured templates for common reporting requirements
  • Advanced analytics capabilities for modeling and forecasting needs

Request a Platform Demo