Kicking off the year strong, we are pleased to announce an additional $20M from @BlueOwlCapital and Structural Capital as interos.ai continues our product-led growth strategy to bring the most reliable actionable AI insights for both Commercial and Federal use cases.

interos.ai is proud to be named Supply Chain Visibility Company of the Year by the @TopTechAwards! In an era where disruption is the norm, visibility is the difference between anticipating a supplier failure and explaining one to your board. interos.ai maps 250M entities and 11B supplier relationships across six risk domains, so your team sees sub-tier risks before they surface, not after they've hit your operations. Thank you to the independent panel of industry experts who recognized this work, and to the supply chain and risk leaders who trust interos.ai every day. 🔗 supplytechbreakthrough.com/2… #SupplyChain #SupplyChainVisibility

The Pentagon just flagged 188 companies, including Baidu, Alibaba, and BYD, as linked to the Chinese military. Paired with new Section 301 tariffs and a trade truce expiring in November, the signal is clear: supply chain warfare is accelerating. The real question for risk and procurement leaders: Do you know where these 188 companies sit in your extended supplier network? Andrea Little Limbago breaks down what's next ➡️ interos.ai/blog/section-1260… #Geopolitics #SupplyChain

Every week another vendor promises AI agents that will run your operations end-to-end. Autonomous decisions. Zero human oversight. It's a compelling pitch, and it's also not where we are, in supply chain or anywhere else. Reliable AI doesn't get deployed. It gets earned. Suggestions that humans validate. Decisions that feed reinforcement learning. Predictive insights that build trust before they ever become autonomous signals. Rush that process and you don't get efficiency. You get confident-but-wrong embedded in your most critical decisions. At interos.ai, we're monitoring 250M entities and 11B supplier relationships across six risk domains. The technology isn't autonomous yet. The data discipline behind it is rigorous enough that it doesn't need to be. That's what AI in supply chain should look like right now. Read the full piece in @ILMagazine → inboundlogistics.com/article… #SupplyChain #AI #RiskIntel

Your supply chain risk platform is flagging threats. Your ERP knows everything about how your business runs. So why are you still reacting instead of acting? Because the two aren't talking to each other. When risk intelligence and operational data stay siloed, your team gets alerts without answers. You know something's wrong, but you don't know what to do about it first. As our CEO @KrantzTed shares in a recent conversation with @LogisticsMgmt, the gap isn't detection. It's prioritization. Most tools will tell you there's a problem. Very few will tell you which one to solve today. Blending ERP data with real-time market intelligence changes that. It turns a list of alerts into a clear action plan before disruption forces your hand. Read the full conversation with Bridget McCrea to learn how: mydigitalpublication.com/art…

A Super El Niño is developing. There's a 96% chance it persists through winter 2026–27. For every procurement team with exposure to Australia, India, Indonesia, Peru, or the US Gulf Coast, this is your countdown. The 1997–98 El Niño caused $36 billion in global damages. The 2015–16 event rewrote records. This one is developing impact that would have been moderate a decade ago but can now tip severe. The window to act is before the fires start, before the monsoon fails, before the ports close. Map your exposure. Build your buffers. Identify alternative sources now. Read Senior Computational Climate Scientist Nina Grant, Ph.D.'s full breakdown of the five high-risk geographies, the seasonal calendar, and what this means for supply chain risk management: interos.ai/blog/el-nino-is-h… #SupplyChainRisk #SupplyChainResilience #RiskIntelligence

Our team was at UNITE by @ProcessUnity this week, and it was exactly the kind of room that reminds you why this work matters. The summit brought together some of the sharpest TPRM leaders in the industry, and the message was consistent: organizations need visibility past Tier 1 and into the layers most teams never see. That's where real resilience gets built. Customers like @VantageDC are already doing that work, and it shows. Thanks to Sandeep Bhide, Sean Cronin, and the ProcessUnity team for a summit that actually moves the needle. Great to connect in person with Jacquie Parise and MaryAnn Hylton from Vantage Data Centers. #TPRM #ThirdPartyRisk #SupplyChainRisk #SupplyChainResilience #RiskIntelligence #Procurement

Everyone's focused on processing power and capital investment. Nobody's talking about the physical layer that makes it possible. Land. Power. Water. Grid reliability. Climate stability. Permitting regimes. These aren't secondary engineering considerations. They're the actual constraints on whether AI infrastructure can operate reliably at all. And right now, they're all under stress simultaneously. Climate volatility. Water scarcity. Sovereign regulatory intervention. Grid stress. These pressures aren't arriving one at a time. They're converging. And data centers sit at the intersection of all of them. interos.ai CEO @KrantzTed makes the case in @dcdnews: the limiting factor for AI expansion is no longer digital capacity. It's the resilience of the substrate beneath it. Worth a read if you're thinking seriously about where AI infrastructure goes from here. Read more here: datacenterdynamics.com/en/op…

At interos.ai, we don't wait for disruption to act. That's true for our customers, and it's true for how we build our team. We're a company driven by a mission that matters: helping organizations around the world see risk before it hits and act before it costs them. The work is complex, the stakes are real, and the people who thrive here care deeply about both. We're growing — and we're looking for people who want to be part of it. Open roles: 🔹 Sr. Insights Manager → interos.ai/careers?gnk=job&g… 🔹 Sr. Director/Principal PMM → interos.ai/careers?gnk=job&g… 🔹 Lead ML Engineer → interos.ai/careers?gnk=job&g… 🔹 Enterprise Account Executive, DoW → interos.ai/careers?gnk=job&g… Come be part of the work that keeps the world's supply chains one step ahead. #SupplyChain #Hiring

Most organizations are focused on the headline risks like tariffs, currency swings and commodity controls. What they're missing is the thread that connects all three: sub-tier visibility. When currency fragmentation compresses supplier margins, when rare earth export controls move through semiconductor tiers, when energy shocks work their way into logistics costs, the damage surfaces deep in the supply chain first. Long before it shows up in your operations, your contracts, or your cost structure. As our CEO @KrantzTed writes in his latest piece for @SCBrain, the most resilient organizations won't have the best hedging strategies. They'll have the earliest visibility. Read the full article here: supplychainbrain.com/blogs/1… #SupplyChain #RiskIntel #Tariffs

The U.S. and India just signed a Critical Minerals Framework. The Quad announced a $20B initiative to diversify from China. The stakes couldn't be higher: if China's rare earth export suspension lapses in November 2026, an estimated $6.5T in economic activity outside of China is at risk, with automotive and electronics absorbing the worst of it. China's control of 90% of REE processing and 94% of REE-containing magnets isn't market dominance. It's leverage. The rest of the world has been slow to change that. In the meantime, 21 critical mineral deposits sit at high or extreme catastrophic risk in places like Afghanistan, the Philippines, and Madagascar, and 12 more are in active conflict or high-instability zones. interos.ai SVP of Applied AI Dr. Andrea Little Limbago has been tracking these agreements, the mineral deposits behind them, and the risk signals your procurement team can't afford to miss. Read her full analysis: interos.ai/blog/critical-min…

Everyone is racing to plug AI into their supply chain risk programs. But off-the-shelf AI won't cut it here. Supply chain risk intelligence is one of the most complex signal environments in enterprise technology. The data is noisy, the stakes are high, and the suggestions that reach risk teams need to be right. Generic AI tools aren't built for that level of precision. Our Chief Product and Technology Officer Yardley Pohl (@yipstas) knows this firsthand. Getting AI to surface the right mitigation suggestions requires human expertise in the loop, reinforcement learning, and continuous improvement of signal quality. It's not a plug-and-play problem. It's a discipline. That's the difference between AI that sounds impressive and AI that actually protects your business. See what purpose-built AI supply chain risk intelligence looks like at interos.ai: interos.ai/our-software Read the full article in @ForbesTechCncl: forbes.com/councils/forbeste… #SupplyChain #AI #RiskIntel

🎉 Excited to share that our U.S. design patent for Galaxy has officially been granted. Built into the Resilience platform, Galaxy's patented visual layout organizes complex supply networks into three concentric rings representing supplier tiers, using a circle-packing approach. Color encodes risk. Size reflects connectivity. The result is an interactive, full-screen experience that lets analysts quickly spot patterns, outliers, and hidden relationships. "Visualizing supply chains at scale is no small challenge. Graphs with 30,000 nodes push both computational limits and human comprehension. Done poorly, they overwhelm. Done right, they reveal. Galaxy was designed to do exactly that."— Manuel Lima, Senior Director, Product Design at interos.ai Turning complexity into clarity, so better decisions can happen faster. Learn more about our software by visiting interos.ai.

This weekend, we honor the heroes who gave their lives in service to our country. Their courage, resilience, and sacrifice are the bedrock of our freedom. With gratitude, we honor their sacrifice and uphold the freedoms, responsibilities, and communities they helped protect.

AI has transformed data center planning, but there’s one huge bottleneck: climate risk. Our 2026 Predictions Report found that 20% of global data centers are at high risk of catastrophic events during the summer months. 40% of those facilities are in the United States, which hosts more than half of the world’s data center infrastructure. As our CEO @KrantzTed explains in his latest article for @dcdnews, data centers sit at the intersection of land, grid reliability, climate stability, and policy framework pressures, and that simultaneous stress is a huge limiting factor of AI infrastructure. Read the full article here for more: datacenterdynamics.com/en/op… #DataCenters #AI #Innovation #ClimateRisk

The most damaging supply chain disruptions no longer announce themselves in the headlines. They start as smoke signals. Quietly compounding across sub-tiers until the impact is impossible to ignore. Our CEO @KrantzTed calls them "diamond risks," individual vulnerabilities scattered across the supply chain that are easy to miss and expensive to find out about late. With 17 out of 19 Chinese export controls in 2025 targeted at the United States and labor unrest poised to move from disruption to eruption globally, the risk landscape isn't getting simpler. Ted's latest piece for @LogisticsMgmt breaks down what a next-generation resilience program actually looks like in this environment. Read it here: sdcexec.com/sourcing-procure…

What does AI in supply chain actually look like today? Not unchecked autonomy. Not black-box decision-making. Real AI adoption evolves in phases: recommendations that humans validate, feedback that sharpens the model, and predictive insights that build toward autonomous signals over time. At interos.ai, that process is already underway. Hundreds of data sources are harmonized into a single risk score across six domains, covering 250M entities and 11B supplier relationships. The human stays in the loop while AI earns trust through validated, actionable signals. Act faster with responsible AI-powered supply chain intelligence from interos.ai. Read the full article from @ILMagazine: inboundlogistics.com/article… #SupplyChain #AI

The cyber threat landscape is real — and our customers feel it. That's why we've enhanced our Cyber Risk model in a big way. Our rebuilt model with real-time scoring, reacts the moment a ransomware attack, breach, or critical vulnerability hits your supply chain. Not days later. But in real-time. What's new: 🔹 2x company coverage to deliver more dynamic, real-time cyber risk data 🔹 14 subfactors are consolidated into 6 clearer categories with no loss of underlying risk coverage 🔹 200 contextual issues, and mitigation recommendations now explain what’s driving scores so your team can take action 🔹 Score penalties that fire in real time when cyber events occur, giving you a faster, more accurate risk signal For the first time — actionable mitigation recommendations surfaced directly in the platform, so your team knows exactly what to do, not just what to worry about. The threat is moving fast. Your risk signal should too. 🔗 Get on a path to cyber resilience → interos.ai/solutions/cyber-r… #CyberRisk #RiskIntel #SupplyChain