Gravity in the news

Energy is one of the last unoptimized enterprise systems: commercial energy costs are up more than 10% year over year, and roughly $2 trillion in US energy spend is inefficient. Getting the data flowing continuously and optimizing against it — the way you'd optimize any other system — surfaces projects that pay for themselves.

Yes — the obstacle is plumbing, not ambition. Bills arrive in thousands of formats and accounts change constantly, so Gravity built integrations with more than 9,000 utility providers and taught software to read the bills themselves. Once data flows continuously, carbon earns a spot on the dashboard because it's derived from the same numbers the CFO already watches.

Beyond data centers, the biggest gains will come in sectors with distributed operations — construction, manufacturing, wholesale, retail, and private equity portfolios — where hundreds of sites and thousands of utility accounts have never had a unified view. AI makes that unification tractable for the first time.

No. The federal rule never took effect, so rescinding it changes almost nothing about the requirements companies actually face. California is requiring greenhouse gas emissions disclosure from companies over $1 billion in revenue doing business in the state — including scope 3 — with the first emissions deadline on November 10, and only about 38% of firms already identified are headquartered in California.

California's climate disclosure laws, the EU's CSRD (narrowed by the December 2025 Omnibus package, with non-EU reporting pushed to 2028), and ISSB-aligned mandates in Japan, Singapore, Australia, Hong Kong, Malaysia, and China. Investors, lenders, insurers, and major customers also keep demanding climate data because they view it as financially material.

Collect the data once, rigorously, in a transparent and assurance-ready system rather than standing up a process for one rule at a time. A single trusted data foundation can satisfy California, CSRD, investor requests, and customer requirements — and the same data reveals efficiency projects that pay for themselves.

A chatbot can only talk about data that already exists — a fluent answer built on incomplete or unverifiable data is just a faster way to be wrong. The real shift is agents that go get the data themselves: extracting numbers from utility bills and invoices, standardizing units, catching anomalies, and reconciling everything before any calculation happens.

Disclosure is shifting from self-reported to audited — California's climate program contemplates limited assurance beginning with 2027 reporting, and CSRD already pushes companies toward audit-ready processes. Auditors don't accept "the model said so": every number needs a traceable lineage from source document to reported figure, which agents that actually do the work can provide and chatbots cannot.

Ask one question early: show me the lineage of a single number, from source document to reported figure. Start automation with the data layer rather than the report layer, and build for assurance now — retrofitting provenance into a workflow is far more expensive than designing for it.

Three structural conditions forced the issue early: a huge data burden relative to headcount (thousands of utility bills, invoices, and supplier spreadsheets handled by teams of two or three people), hard regulatory deadlines with real penalties like SB 253 and CSRD, and work that splits cleanly between machine extraction and human judgment.

Less time keying numbers from PDFs into spreadsheets, more time reviewing exceptions, validating machine output, and defending the result. With climate disclosures moving toward third-party assurance, the analyst's core skill shifts from data entry to knowing when the machine is wrong.

Automate the work that crowds out judgment, not the judgment itself. Keep a human accountable for anything that must stand up to scrutiny, and measure what the automation costs in dollars and energy. Finance, procurement, and legal face the same conditions and will follow the same curve.

Most AI tools in sustainability software handle narrow functions like cleaning spreadsheets or answering questions about carbon inventories. The Gravity Agent can perform any platform action a user could take through the interface: it plans a workflow, executes tasks, and returns drafts for human review. Gravity is API-first, so the agent can use the software in all the ways users can.

Yes. The agent launches with more than 85 skills trained and validated by Gravity's climate strategists and energy experts, and companies can build custom skills for their own workflows with support from Gravity specialists.

No. Emissions calculations run through Gravity's deterministic calculation engine rather than a generative AI model, so teams and auditors can reproduce the results. The agent also cannot make changes without human review, every action is logged, and Gravity does not train the agent on customer data.

The Gravity Agent can perform any action within Gravity's carbon and energy management platform that a human user could take. It ships with more than 85 built-in skills trained by Gravity's in-house climate and energy experts, covering tasks like migrating historical emissions data, finding energy cost savings, and drafting regulatory disclosures.

All changes made by the agent require human review and approval before taking effect, every action is logged to keep data audit-ready, and Gravity does not train the agent on customer data. Emissions calculations run through Gravity's deterministic calculation engine rather than being generated by the AI model.

In early pilots, Gravity reports that customers cut the time needed for tasks like data migration and disclosure drafting by 70 percent or more.

The delay gives companies more time, not a reason to wait. Jay Ruckelshaus explains that businesses covered by SB 253 should use the extra runway to build defensible Scope 1, 2, and 3 measurement now, since gathering and verifying emissions data takes far longer than most teams expect.

Emissions measurement is increasingly treated as a way to price risk. Defensible carbon data helps companies reduce regulatory and financial risk, lower operating costs, and strengthen business strategy — making it part of an honest valuation rather than a compliance checkbox.

Start measuring early with data that can stand up to scrutiny: direct emissions (Scope 1), purchased energy (Scope 2), and value-chain emissions (Scope 3). Building that foundation before deadlines hit turns disclosure from a scramble into a source of insight.

Gravity combines carbon and energy management in one platform, surfacing where companies overpay on utilities, where rates and tariffs don't match usage, and where efficiency projects pay back. The same data that powers emissions reporting also exposes cost-saving opportunities across a facility portfolio.

Saleh ElHattab is the founder and CEO of Gravity, a carbon and energy management platform for industrial and energy-intensive companies. He started the company to make decarbonization practical by tying emissions data to real operating and cost decisions.

Rising energy costs, AI-driven demand growth, and grid constraints mean that organizations who understand their energy economics — optimizing rates, identifying behind-the-meter generation opportunities, and managing utility costs strategically — will outperform competitors who treat power as a passive expense.

Behind-the-meter refers to energy assets like solar, battery storage, and backup generators installed on a company's own property, reducing dependence on grid power. Organizations are increasingly acting like their own mini-utilities to control costs and improve resilience.

Gravity uses AI agents to audit utility bills at scale, identifying billing errors, tax exemptions, and rate mismatches. Early customers have reported recovering significant sums through automated bill analysis.

Jigar Shah, co-founder of SunEdison and former head of the DOE Loan Programs Office, signed on as senior advisor to Gravity, bringing extensive experience in clean energy finance and entrepreneurship.

Gravity was recognized for its end-to-end approach to supply chain emissions — from automated data collection and supplier engagement to AI-powered analysis and reduction project identification.

Scope 3 emissions come from a company's value chain — suppliers, logistics, product use, and end-of-life. They often represent 70-90% of a company's total footprint but are the hardest to measure because data must be collected from hundreds or thousands of external partners.

Gravity's AI agents automate data collection, calculations, and report generation — allowing teams of one or two people to manage carbon accounting and energy programs that would otherwise require a much larger department.

AI can automate utility bill processing, emission factor matching, supplier data collection, regulatory report generation, and anomaly detection — dramatically reducing the manual labor required for carbon accounting.

Gravity combines carbon measurement, regulatory reporting, energy management, and project identification in one platform — eliminating the need for multiple tools and enabling companies to move from data collection to action faster.

Gravity differentiates by unifying measurement, reporting, and reduction in a single system. While many platforms focus solely on data collection or reporting, Gravity connects the full workflow from data ingestion through to identifying and executing cost-saving decarbonization projects.

The same data collected for carbon accounting — energy usage, fuel consumption, utility bills — also reveals where industrial facilities overspend on energy. Gravity uses that data to identify operating-cost reductions, turning a compliance exercise into a source of savings.

Gravity is one of two carbon measurement platforms recommended to Amazon suppliers through the Amazon Sustainability Exchange, helping suppliers measure and manage their carbon footprint.

The Amazon Sustainability Exchange is a curated marketplace of sustainability solutions recommended to Amazon's vast supplier network, helping them measure, manage, and reduce their environmental impact as part of Amazon's Climate Pledge commitments.

The measurement trap is when companies invest heavily in counting and reporting emissions but never use that data to take action. Gravity's approach emphasizes using measurement as a starting point for identifying energy savings, efficiency projects, and supply chain improvements.

Companies should use emissions data to identify energy cost reduction opportunities, optimize supply chains, benchmark against industry peers, and prioritize decarbonization projects with the highest ROI — turning measurement into a strategic business advantage.

DERs include solar panels, battery storage, demand response, and other behind-the-meter energy assets. They help companies reduce energy costs, improve resilience, and lower carbon emissions — and Gravity's platform helps identify and manage these opportunities.

Gravity's energy management capabilities help companies identify where DERs like solar, storage, and demand response can deliver the highest ROI, then track performance and emissions reductions over time through the same platform used for carbon accounting.

Deregulation debates create planning uncertainty, but companies with strong energy data can adapt quickly — measuring usage and costs pays off under any regulatory regime.

Scope 3 emissions come from a company's value and supply chain, often accounting for 70-90% of total emissions. Key drivers for tackling Scope 3 include Net Zero commitments, new regulations like California's 2026 requirements affecting ~10,000 companies, and growing stakeholder demands.

Gravity takes an empathetic approach — rather than just extracting data from suppliers, it provides them with tools and training to measure their own emissions. AI agents can search for public disclosures and reach out to suppliers directly, with full audit trails for transparency.

Carbon accounting software centralizes data from multiple sources, automates calculations with full audit trails, supports integrations with existing business systems, and can process documents like utility bills and fuel invoices using AI — streamlining the verification journey.

Audit trails document every data point's origin, every calculation applied, and every emission factor used — providing the transparency that verifiers and regulators require to confirm the accuracy and completeness of carbon reports.

Key drivers include saving on volatile energy costs, building sustainability from the top down, opening opportunities for innovative technology and investment, and meeting growing regulatory requirements. Gravity has helped clients like a US-based aluminum foundry save over $400,000 in energy costs.

Carbon accounting software centralizes data collection from utilities, logistics, and finance; automates calculations with emission factors; generates reports in required frameworks; and can help source vendors and projects to reduce emissions.

The marketplace connects Gravity customers with vetted vendors for energy-efficiency projects — such as LED retrofits and HVAC upgrades — identified from their own facility data.

Falling vehicle costs, better charging infrastructure, and improved data tools for modeling total cost of ownership have made fleet electrification decisions far more straightforward.

Gravity pairs automated carbon accounting with energy cost management, so sustainability programs pay for themselves through operational savings rather than relying on compliance pressure alone.

Gravity pairs streamlined carbon accounting with behind-the-meter energy projects, so emissions-intensive companies can go beyond disclosure and actually reduce emissions while cutting operating costs — even when they aren't 'climate first' organizations.

Decarbonization increasingly pays for itself: energy-efficiency projects and utility cost recovery deliver direct savings, making sustainability programs attractive independent of regulation.

The funding supports expansion of Gravity's automated carbon accounting platform and its energy savings offerings for industrial and enterprise customers.

Gravity combines automated carbon accounting with energy cost management, letting customers fund sustainability programs through measurable utility savings.

Granular energy and emissions data lets manufacturers identify hotspots across facilities and product lines, prioritizing reductions that also cut operating costs.

The data gathered for CSRD reporting reveals cost-saving opportunities and strengthens customer relationships — companies that operationalize it outperform those that treat it as a checkbox.

Gravity was incubated at Eclipse Ventures by co-founder Saleh ElHattab, who developed a thesis around pragmatic decarbonization for energy-intensive companies. Co-founder Ted Kornish joined after learning about the thesis at COP 26 in Glasgow. They built the first product version and were generating revenue within months.

Gravity prioritizes proven, reliable tools — what they call a 'boring tech stack' — over experimental technologies. The founders believe startups can't afford to spend resources experimenting with unproven databases when there are customers to serve.

Gravity has grown approximately 3-4x annually. Their first year focused on a pilot program with 10 customers, building software in real time informed by direct customer feedback on measuring Scope 1 and Scope 2 emissions.

Profitable sustainability means decarbonization initiatives that generate positive financial returns — energy savings, cost recovery, and revenue retention — rather than being cost centers.

Gravity focuses on the industrial sector with an ROI-oriented sales approach, a marketplace strategy for connecting companies with decarbonization solutions, and a culture of pragmatism that prioritizes measurable business outcomes alongside emissions reduction.

Gravity primarily serves energy-intensive industrial sectors including manufacturing, construction, metals, mining, and logistics — industries where emissions are highest and the ROI from efficiency projects is most significant.