interos.ai provides an AI-driven supply chain risk intelligence platform that continuously maps supplier networks, monitors risks across six domains, and helps organizations identify and mitigate potential disruptions. The company serves Fortune 1000 customers and U.S. federal agencies. Pulse 2.0 interviewed interos.ai CEO and Board Director Ted Krantz to learn more.
Ted Krantz’s Background
When asked about his background and experience leading enterprise software companies, Krantz shared:
Since 2024, I have served as the Chief Executive Officer and Board Director of interos.ai, the supply chain risk intelligence company trusted by Fortune 1000 customers like Google and Delta Air Lines, as well as U.S. federal agencies including the U.S. Navy, Defense Logistics Agency, and Department of State.
With more than two decades of enterprise software leadership, I built my career at the forefront of AI innovation. As CEO and Board Director at data.ai and interos.ai, I spent the last eight years driving transformational growth and scaling organizations from $30 million to $150 million in revenue across Fortune 1000 enterprise accounts. Before joining interos.ai, I served as CEO and Board Director at mobile intelligence platform data.ai for six years, during which I led the company through a private equity exit. My background has been go-to-market-focused, with product strategy as a core competency. I have held various sales leadership roles at companies including Skai, C3.ai, SAP, and Oracle/PeopleSoft, running global business lines worth up to several billion dollars.
Primary Responsibilities
When asked about his primary responsibilities at interos.ai, Krantz explained:
As the CEO and Board Director of interos.ai, I lead the company’s vision, product strategy, and growth as we scale our AI-driven supply chain risk intelligence platform globally. I work closely with our leaders to drive product innovation, expand the customer base across the enterprise and federal government sectors, and oversee AI technology architecture, product-market requirements, user experience, and adoption for supply chain risk management use cases across various verticals.
I drive the company strategy to win in the supply chain market by strengthening our operational excellence and delivering on the vision of becoming the system of record for supply chain risk intelligence. interos.ai provides full visibility into supply chain risks with sub-tier visibility and actionable insights through the supply chain gold standard, i-Score, across six risk factors: ESG, financial, cyber, catastrophic, geopolitical, and restrictions. With interos.ai, leaders can turn supply chain risk mitigation into a competitive advantage.
Establishing A Market Standard
When asked about his favorite memory from working at interos.ai, Krantz reflected:
One of my favorite memories so far has been helping establish the market standard for supply chain risk intelligence. Most recently, our team launched the interos.ai iQ platform, giving customers complete visibility and proactive actionability into their sub-tier supply chain risks. Customers can fuse their first-party IT data with market data to better understand tangible dollar impacts and proactively mitigate risks with alternative suppliers. Seeing the vision of helping organizations anticipate disruption instead of just reacting to it has been incredibly rewarding.
Core Products And Features
When describing interos.ai’s core products and capabilities, Krantz detailed:
interos.ai’s core product continuously maps supplier networks across 11 billion buyer-supplier relationships and more than 250 million businesses and monitors risks with the gold-standard i-Score, including cyber, catastrophic, ESG, restrictions, geopolitical, and financial risks. The iQ platform adds AI intelligence to drive actionable insights with iTariffs, which shows the tangible dollar impact of tariffs; iTracing, which provides product-level part tracing through the supply chain; alternative supplier identification; and the fusion of first-party and market data to improve the precision of supply chain risk recommendations. Whether that involves uncovering financial weaknesses, preventing disruption from incoming natural disasters, or managing the aftermath of geopolitical turmoil, interos.ai gives leaders the confidence to proactively mitigate vulnerabilities before they affect business metrics.
Building A Scalable AI Platform
When asked about recent challenges and how interos.ai addressed them, Krantz observed:
One of the biggest challenges interos.ai faced as a company, and one of the reasons I joined to lead the team, was rearchitecting the business from a services-heavy model into a scalable applied AI intelligence platform. As a company, we made the strategic decision to remove much of the services component, and this restructuring was a key catalyst for building a more efficient, responsible business model that can scale globally. As a result, we’ve achieved gross margins of more than 70%, cut average quarterly cash burn by 60%, and achieved analyst recognition from Gartner with best-in-class corporate marketing and product innovation. Our ongoing focus on applied AI intelligence has empowered our customers with actionable insights, not just data, that drive strategy.
Technology Evolution
When discussing how interos.ai’s technology has evolved since launching, Krantz described:
Since launching in 2005, our technology has evolved significantly to better serve our customers as supply chain risk has become more complex and global. For example, at the height of tariff volatility last year, we launched iTariffs to give organizations multi-tier visibility into their tariff exposure across countries, products, and supplier tiers, as well as iTracing, a product-level visibility solution that connects disruptions to specific parts, materials, and financial impacts.
Now, with the launch of iQ fusing first- and third-party data, interos.ai can provide more relevant, proactive supply chain risk mitigation strategies, recommendations, and insights. For instance, with the addition of location-based risk intelligence, customers can pinpoint risk at the individual facility level. Ultimately, the goal is always to give organizations a single source of truth that helps them anticipate disruption and build more resilient supply chains, and we continuously evolve our technology to achieve this.
Supply Chain Risk Research
When asked about interos.ai’s latest research, Krantz highlighted:
Earlier this year, we launched our annual 2026 Predictions Report, which reveals the converging forces reshaping global supply chains into a new economic and geopolitical battlefield. The findings highlight the AI boom colliding with power constraints, rising climate exposure for data centers, and increasing dependence on critical minerals, which have become an emerging chokepoint for AI competitiveness. On top of that, as data becomes weaponized and AI sovereignty becomes a national security imperative, enterprises need trusted technology stacks that combine first-party operational data with market context to navigate this volatility.
We conduct this annual research because even today, most organizations still lack deep, multi-tier visibility into their supply chains. Fewer than 10% of Fortune 1000 companies monitor suppliers and threats across all tiers, even as boards and regulators increase expectations for always-on, proactive risk intelligence.
Funding And Revenue Metrics
When asked about the company’s recent funding and revenue metrics, Krantz disclosed:
interos.ai has raised approximately $60 million from Blue Owl Capital and Structural Capital, which will help us accelerate the growth of our AI-driven supply chain risk platform. This funding allows us to enhance our predictive AI capabilities, enabling the platform to deliver increasingly precise and actionable recommendations to customers. Over time, as more data is ingested, tagged, and applied through reinforcement learning, the insights become smarter and more impactful, helping organizations take the next step to mitigate supply chain disruptions more effectively.
Since its founding, interos.ai has raised about $310 million, including $55 million from Blue Owl Capital over the last couple of years. interos.ai’s annual recurring revenue grew about 30% through the third quarter of 2025, and we are on track to reach EBITDA break-even early next year.
Major Company Milestones
When asked about interos.ai’s most significant milestones, Krantz noted:
One of the company’s most significant milestones was gaining unicorn status with a valuation exceeding $1 billion following a funding round in July 2021. This year, with the latest investment mentioned above, interos.ai has raised about $310 million in total since its founding.
Last year, interos.ai was also chosen to receive part of a 10-year, $919 million contract through the U.S. General Services Administration’s Supply Chain Risk Illumination Professional Tools and Services Blanket Purchase Agreement, which expands our ability to support federal agencies in today’s volatile risk environment. We are proud to continue maintaining market leadership across commercial industries, as well as finance, technology, and manufacturing, helping organizations proactively manage supply chain risk at scale.
U.S. Navy Success Story
When invited to share a specific customer success story, Krantz reported:
One example that stands out is the U.S. Navy, which selected interos.ai to deploy the first enterprise-wide supply chain risk management capability across more than 30 support organizations and field activities worldwide. With interos.ai’s platform embedded within the Navy’s Program Executive Office Integrated Warfare Systems organization, our work together marks a major milestone for national defense resilience, global competitiveness, and national security. The platform helps the Navy identify risks such as foreign intrusions, restricted entities, and other vulnerabilities that could affect weapons supply chains and mission readiness. By shifting from lagging indicators to predictive intelligence, the Navy can proactively identify and mitigate threats across the defense industrial base. Seeing the technology support national security and strengthen resilience across such a critical supply chain has been incredibly meaningful for our team.
Market Opportunity
When discussing the total addressable market interos.ai is pursuing, Krantz estimated:
We see a large and rapidly expanding market opportunity at the intersection of physical and digital supply chain risk intelligence. The core supply chain risk management software market alone is projected to grow to nearly $10 billion by 2031 as organizations adopt continuous monitoring and predictive analytics. As supply chains become more interconnected and exposed to cyber, geopolitical, and operational risks, we believe demand for integrated intelligence platforms that unify physical and digital risk will only accelerate.
interos.ai’s Differentiators
When asked what differentiates interos.ai from its competition, Krantz emphasized:
What differentiates interos.ai is that we’ve built the industry’s first truly SaaS-native platform for supply chain risk intelligence, designed to give organizations continuous, real-time visibility across their supplier ecosystems. The platform brings together external market data and customer-specific data, which allows us to deliver predictive insights across six critical risk domains. Our i-Score has become a gold standard for quantifying and benchmarking supply chain risk across millions of entities globally.
Many providers in this arena rely heavily on survey-based assessments, which can be helpful but are incomplete on their own. Our AI-first approach enables continuous monitoring, predictive intelligence, and deeper user engagement directly within the platform, empowering customers to make faster, more informed decisions about risk across their global supply chains.
Future Goals
When discussing interos.ai’s future goals, Krantz concluded:
The interos.ai goal is to continue leading the industry through innovation in AI-driven supply chain risk intelligence. We are focused on expanding adoption across both commercial enterprises and federal agencies while deepening the value our platform delivers. A key priority ahead is being the first to fully integrate supply chain risk intelligence directly into enterprise resource planning workflows, enabling true end-to-end, AI-fueled execution.
