Novata Unveils AI-Powered Risk Atlas for Supply Chain Monitoring
According to ESG Today, Novata, a private markets-focused sustainability data solutions provider, has launched Risk Atlas, an AI-driven platform designed to help investors and companies identify, prioritize, and monitor emerging risks across portfolios and supply chains. The tool was announced on May 20, 2026, and is developed in collaboration with general partners (GPs) and limited partners (LPs) from the investment community.
Five Core Risk Categories Measured by the Platform
Risk Atlas evaluates risk across five key categories: reputational, cyber, geopolitical, physical climate, and transition risk. The platform uses AI-enabled intelligence from specialized service providers to continuously surface, structure, and refresh risk signals. According to the company, this enables real-time detection and proactive risk management. The solution is designed to support the entire investment lifecycle, from pre-investment screening to ongoing portfolio oversight.
Key Features and Operational Capabilities
- Identifies where risk is concentrated or emerging across multiple categories
- Enables comparison of risk exposure across companies, sectors, and risk types
- Provides insights into how multiple risks contribute to an entity’s overall exposure profile
- Allows users to prioritize monitoring and engagement based on material risk exposure
Organizations can flag high-risk exposures before capital deployment, track risk developments through automated updates, monitor portfolio exposure at scale, and customize risk thresholds and weightings based on investment strategy. The platform is accessible to both private markets investors and corporations managing complex supply chains.
“We built Risk Atlas to help organizations move beyond fragmented risk signals. By standardizing risk across portfolios and supply chains, the platform helps teams identify where exposure is most critical, scale monitoring more efficiently, and focus resources where action is needed most.” — Christina Anslem, Advisory Manager at Novata
Company Background and Founding Partners
Novata was founded in 2021 by S&P Global, the Ford Foundation, asset management firm Hamilton Lane, and social change-focused investment firm Omidyar Network. The firm operates in the ESG data and sustainability analytics space, with a focus on providing measurable, data-driven solutions for private equity and venture capital investors. Its founding partners bring deep expertise in financial data, social impact, and institutional investment strategy.
Industry Context and Competitive Landscape
Novata’s launch comes amid growing demand for ESG-aligned risk monitoring tools. According to a 2025 report by McKinsey & Company, 73% of institutional investors now require ESG risk assessments for all new private equity investments. Competitors such as Datamaran have also launched AI-powered ESG platforms, with Datamaran’s 2024 platform supporting CSRD and ISSB compliance. In 2025, ISSB reported that over 80% of global firms expected to adopt its disclosure standards by 2027, heightening demand for automated monitoring tools.
Supply chain professionals can use Risk Atlas to assess vendor risk exposure, particularly in high-volatility regions. For example, in 2024, 42% of supply chain disruptions in the tech sector were linked to geopolitical instability or cyber threats, according to a Deloitte survey. The platform’s ability to weight risks based on strategy allows firms to tailor thresholds—such as setting a 15% threshold for cyber risk in a technology portfolio or a 22% threshold for physical climate risk in infrastructure assets.
The platform’s automation reduces manual data collection, which can consume up to 120 hours per quarter for large institutional investors, according to internal Novata assessments. By integrating AI signals from third-party providers, Risk Atlas reduces the lag between risk emergence and detection from an average of 14 days to under 48 hours.
Source: www.esgtoday.com
Compiled from international media by the SCI.AI editorial team.
