• Gravity says early customers reduced time spent on data migration, disclosure drafting, and energy analysis by at least 70%.
• The agent launches with more than 85 skills developed by climate strategists and energy specialists.
• Human approval, audit trails, deterministic emissions calculations, and restrictions on customer-data training form its governance framework.

Gravity has launched an artificial intelligence agent designed to perform a wide range of carbon accounting, energy management, and sustainability reporting tasks within its enterprise platform.

The Gravity Agent arrives as companies face growing pressure to manage emissions data, prepare regulatory disclosures, and control energy costs. Sustainability teams must often complete this work with limited resources and fragmented datasets.

Gravity said early pilot customers cut the time needed for several core tasks by 70% or more. Projects that once took days or weeks were completed within hours or minutes.

The platform ships with more than 85 preconfigured skills. These cover tasks such as migrating historical data, identifying potential energy savings, and drafting sustainability disclosures.

Moving beyond limited AI tools

Artificial intelligence has become a common feature in sustainability software. However, many tools remain focused on narrow functions. They may clean spreadsheets, summarize datasets, or answer questions about carbon inventories.

Gravity said its new agent can perform any platform action that a user could complete through the interface. It can plan a workflow, execute tasks, request guidance, and return drafts for human review.

“Everyone says they have an agent, but almost no one means the same thing,” said Ted Kornish, Co-Founder and CTO of Gravity. “A true agent handles a wide variety of tasks and works toward them: deciding the steps, taking action, and circling back only when it needs more guidance or has a draft ready for review. Gravity is the only API-first sustainability platform, meaning the agent can use the software in all the ways users can.”

The company positions the technology as a productivity tool rather than a replacement for climate and energy professionals. Its stated aim is to reduce time spent collecting, cleaning, and interpreting data.

That could allow corporate teams to focus more attention on emissions reduction, supply-chain changes, operational efficiency, and energy procurement.

Skills target reporting and energy costs

Gravity’s climate strategists and energy experts trained and validated the agent’s initial skill library. Companies can also create custom skills for their own workflows, with support from Gravity specialists.

The agent can perform several tasks at once. It can also retain information from previous work, which may reduce the effort required for recurring reporting and analysis.

Historical data migration is one early use case. Many companies still hold emissions and utility records in spreadsheets or legacy systems. Moving those records into a new platform can require weeks of manual work.

The agent can also evaluate data for possible energy-saving projects. This may help companies identify efficiency investments while energy costs remain a material operational concern.

Disclosure preparation is another priority. Companies are navigating a widening range of climate-reporting requirements, investor questionnaires, and voluntary frameworks. Faster drafting could reduce administrative pressure, although companies will remain responsible for the accuracy of final submissions.

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Governance remains central

Gravity has introduced several controls because emissions accounting and regulatory reporting can carry legal, financial, and reputational consequences.

The agent cannot make changes without human review and approval. The platform records each action to support audit trails and assurance processes. Gravity also said it does not use customer data to train the agent.

Emissions calculations run through the company’s deterministic calculation engine rather than a generative AI model. This allows teams and auditors to reproduce the results.

That distinction will matter to companies seeking to use AI in controlled reporting environments. Regulators, investors, and assurance providers increasingly expect clear oversight of automated systems and traceable source data.

Gravity has also developed a methodology to measure emissions linked to artificial intelligence use. The company now applies that approach to the Gravity Agent and offers it to customers assessing their own AI-related footprints.

What executives should watch

For corporate leaders, the launch reflects a broader shift from sustainability software as a reporting database toward systems that can carry out complex work.

The commercial value will depend on whether these tools deliver reliable savings without weakening governance. Companies will also need clear accountability for approvals, data quality, and disclosure controls.

Gravity plans to add more skills and expand self-service onboarding. As the library grows, sustainability leaders will need to assess where automation improves execution and where specialist judgment remains essential.

The wider significance extends beyond one platform. AI is becoming part of the infrastructure used to manage climate data, regulatory obligations, and energy decisions. Its adoption will increasingly shape how quickly companies can move from measuring environmental performance to improving it.