Arena raises money from Peter Thiel and David Petraeus for its decision-making AI (2024)

Can AI automate enterprise decision-making? It’s an exceptionally broad and challenging task — assuming it’s within the realm of possibility. But that’s what startup Arena claims to do, fueled by a round of funding ($32 million) led by Initialized Capital and Goldcrest Capital along with Founders Fund, Flexport and a colorful cast of characters, including retired general David Petraeus, Peter Thiel, and Y Combinator CEO Michael Seibel.

New York–based Arena is the brainchild of Pratap Ranade and Engin Ural, who co-founded the company in 2020. The two were inspired to build a platform that could, leveraging predictive algorithms, help businesses formulate strategies to navigate “uncertain” environments — like a global pandemic.

Ranade, who attended Stanford and Columbia, was previously an associate partner at McKinsey and co-founded web-scraping startup Kimono Labs, which was acquired by Palantir in 2016. Ural was an app developer at Goldman Sachs before joining Palantir as an engineer, where he met Ranade.

Arena’s services are wrapped up in a lot of hyperbolic language, but they’re relatively straightforward in execution. One of the startup’s tools uses AI techniques to simulate an economy, testing out millions of product pricing configurations to arrive at an optimal model for a company. It brings to mind the AI Economist, a Salesforce-developed research environment that similarly runs millions of simulations to come up with plausible fiscal policy.

Beyond pricing, Arena can ostensibly simulate things like inventory management. Ranade also claims it can account for “deviations” in the economic environment, like headwinds stemming from snarled supply chains, in making recommendations to customers (i.e., execs).

Arena raises money from Peter Thiel and David Petraeus for its decision-making AI (1)

Image Credits: Arena

“Without Arena, enterprises traditionally approach such decisions in a few ways: Hiring large teams of people to make these decisions, buying decision assistance software to help people in operational roles make data-driven decisions, or do nothing and continue pushing through with traditional processes,” Ranade told TechCrunch via email. “Each of these approaches has merit, but they are a far cry from the full promise of AI: truly intelligent machines that operate autonomously, on our behalf, to elevate human potential.”

Arena clients feed the platform data like SKU-level sales, pricing, inventory at the location level and shopper behavior during e-commerce sales. Arena augments that data with context from what Ranade calls the “demand graph,” which provides broader, real-time market signals. Together, these inputs are used to create the aforementioned simulations, which in turn produce models for pricing, inventory and marketing that are then fine-tuned world data.

“Today, when the most sophisticated, data-centric business-to-business companies run a promotion, data scientists analyze past data to determine the best type of promotion to run for a specific product in a specific market. They then load the promotion into their enterprise resource planning system, and weeks after, will analyze its performance,” Ranade said. “With Arena, this entire process is autonomous … Under the hood, Arena’s AI actively adapts to changing price elasticity and personalizes to customer behavior, making adjustments as it learns in real-time to drive bottom line impact.”

Ranade makes the remarkable claim that Arena’s customers — which include Anheuser-Busch InBev and other “select” Fortune 500 brands in e-commerce, automotive, manufacturing and financial services — have been able to lower the costs of goods and services and make their supply chains more resilient thanks to its technology. It’s unclear to what extent that’s true. But for what it’s worth, Ranade says that Arena is currently making “millions” of decisions across both digital and physical channels.

“We’ve found that Arena drives a step change in value because we’re not only introducing a new paradigm of decision-making for the enterprise, but also meeting C-suite and their companies’ existing infrastructure where they are,” Ranade said. “The pandemic was actually a reaffirming moment for us. Our technology is expressly designed to handle shocks — cases where past data no longer represents the future. The pandemic showed that our technology drives significant, measurable results for our customers, especially in highly volatile decision environments.”

Arena raises money from Peter Thiel and David Petraeus for its decision-making AI (2)

Image Credits: Arena

The closing of Arena’s Series A today marks the company’s first external raise, Ranade tells TechCrunch. The business had grown “profitably” up to this point. But Ranade and Ural believed that going the venture route would allow them to expand Arena’s core technology while growing into industries such as manufacturing, renewable energy and financial services.

It’ll certainly need a substantial war chest to compete in the growing market for data analytics products. O9 Solutions, which applies analytics to the supply chain and inventory planning and management, recently raised $295 million in a funding round that values the company at $2.7 billion. Unsupervised, Pecan.ai and Noogata compete more directly with Arena, delivering tools designed to make predictions about metrics like customer lifetime value, churn and retention, sales and on-time deliveries.

xCash flows freely where it concerns enterprise analytics — the global big data and business analytics segment could be worth nearly $700 billion by 2030, depending on which analyst you place your faith in. But the challenge for vendors like Arena is convincing potential customers that they can deliver on their promises. A recent NewVantage Partners survey found that many established companies continue to struggle in their efforts to become “data-driven,” with less than a third saying that they have a “well-articulated” data strategy. For many — particularly small- and medium-sized businesses — the return on investment remains unclear.

Arena’s headcount stands at 50 people today, 90% of whom are members of the engineering, data science and product development staff at the startup’s downtown office. Ranade didn’t respond to a question about whether Arena plans to hire within the next year.

Arena raises money from Peter Thiel and David Petraeus for its decision-making AI (2024)

FAQs

What does Arena AI do? ›

AI Arena aims to democratize AI and AI education using gaming as a trojan horse. The platform intends to make AI more accessible, easier to use, and inspire a new generation to get involved.

Can you create breakthrough technology instead of incremental improvements? ›

Thiel famously remarks, "Customers won't care about any particular technology unless it solves a particular problem in a superior way." While an incremental improvement is better, only a 10x improvement is likely to differentiate you from the competition and give you a clear competitive advantage.

Who is the founder of AI Arena? ›

Brandon Da Silva, Wei Xe, and Dylan Pereira are the founders of AI Arena.

Is AI in games actually AI? ›

AI in gaming refers to responsive and adaptive video game experiences. These AI-powered interactive experiences are usually generated via non-player characters, or NPCs, that act intelligently or creatively, as if controlled by a human game-player. AI is the engine that determines an NPC's behavior in the game world.

What is Peter Thiel's last mover advantage? ›

Last Mover Advantage: Thiel discusses the advantages of being the last mover in a market, emphasizing the importance of timing and building a sustainable business. He uses examples such as Microsoft and Google to illustrate his points.

What is the best example of incremental innovation? ›

Smartphones are an excellent example of incremental innovation. Since their creation, these devices have undergone various updates and improvements without changing the original idea. It is very common to see releases with new variations and formats, but they perform the same functions more effectively.

What is a incremental innovation strategy? ›

Incremental innovation is a series of small improvements or upgrades made to a company's existing products, services, processes or methods. The changes implemented through incremental innovation are usually focused on improving an existing product's development efficiency, productivity and competitive differentiation.

What is game AI used for? ›

In video games, artificial intelligence (AI) is used to generate responsive, adaptive or intelligent behaviors primarily in non-playable characters (NPCs) similar to human-like intelligence.

What is the use of AI in Star Wars? ›

Astromech and protocol droids were both given artificial intelligence. Artificial intelligence was a form of technology that could be installed into droids to give them some degree of independent thought.

How does AI help VR? ›

Increased Realism and Immersion: AI-generated content can help create more realistic and immersive VR and AR experiences. By analyzing real-world data and creating models based on that data, AI algorithms can generate virtual content that closely resembles real-world objects and environments.

How does AI in sports games work? ›

It uses algorithms that consider equipment, speed, weather, and hours of video to improve players' understanding of injuries. Teams can also employ the technology to create individualized training and recovery regimens to improve player performance.

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