Ciridae raises $20M from Accel and Andreessen Horowitz to bring AI to industrial and mid-market companies
The AI boom has created a strange divide in corporate America. Big companies are pouring billions into AI projects, hiring armies of engineers, and locking in deals with OpenAI, Anthropic, and Google. Meanwhile, thousands of industrial and mid-market businesses are still stuck running critical operations through spreadsheets, legacy ERP systems, phone calls, and tribal knowledge passed between employees.
That gap is where Ciridae sees its opportunity.
The AI startup announced Monday it has raised $20 million in seed funding led by Accel, with participation from Andreessen Horowitz, General Catalyst, Sunflower Capital, and Backcountry Ventures. The company wants to build what it calls AI operating systems for real-world businesses across industries like logistics, restoration, healthcare, construction, and industrial services.
Ciridae was founded by CEO Jack Soslow, a former partner at Andreessen Horowitz and former data scientist at Meta, alongside CTO Jack Weissenberger, who previously held engineering leadership roles at Salesforce and Teneyx.
The timing lines up with a broader problem taking shape across the AI industry. Global AI spending is projected to reach $2.5 trillion in 2026, yet fewer than 5% of AI pilots ever make it into production. Many companies outside the Fortune 500 simply do not have the engineering talent, infrastructure, or internal expertise to deploy AI systems at scale.
Accel and Andreessen Horowitz back Ciridae with $20M to modernize real-world businesses with AI
Ciridae says it handles that process directly by embedding with customers and rebuilding core workflows into AI-native systems that can be deployed within weeks rather than years.
“We built Ciridae to solve one of the quieter failures of the AI boom: the companies that stand to benefit most from AI have no way of actually adopting it,” said Jack Soslow, CEO and Co-Founder of Ciridae. “We believe the biggest AI opportunity is not adding another layer of enterprise software, but building the operating infrastructure for the businesses the industry has largely passed by.”
The startup is initially focused on private equity-backed companies, a segment where firms are under increasing pressure to improve operational efficiency across portfolio businesses. Ciridae says it is already working with customers and partners managing more than $1.3 trillion in assets.
That focus reflects a growing shift happening across private equity and enterprise software. Financial engineering alone is no longer enough to drive returns. Firms are now looking at AI as a direct operational lever to improve margins, reduce manual work, and increase productivity across large workforces.
“The old playbook of financial engineering without operational transformation is breaking. AI is the new lever,” said Christine Esserman, Partner at Accel. “Ciridae combines world-class AI talent with operators who can actually implement change, delivering production systems in days. That’s why they’re already becoming the partner of choice for some of the most sophisticated companies.”
Ciridae claims it reached a high seven-figure run-rate revenue within six months of selling its product after hiring its first employee in February 2025. The company says it has remained cash flow positive during that period.
The startup has also gained attention for its Ciridae AI Index, which ranks private equity firms and companies by their AI adoption and transformation readiness. The rankings tap into a growing fear across corporate America that companies failing to operationalize AI could fall behind competitors over the next several years.
Unlike many horizontal AI software platforms flooding the market, Ciridae is betting that deeply integrated systems built around industry-specific workflows will create stronger long-term demand.
For customers like Knight Commercial, the pitch appears to be resonating.
“Ciridae challenged us to elevate our thinking. They built a transformative AI operating system that powers and connects every core part of our business,” said Bryan Knodel, CFO of Knight Commercial.
The bigger question is whether Ciridae can scale a labor-intensive deployment model without losing speed or margins. Embedding directly with customers can yield stronger outcomes, though it is often difficult to replicate across hundreds or thousands of businesses.
Still, investors appear willing to back startups focused on the harder side of AI adoption instead of consumer chatbots and generic copilots. As AI spending climbs, many firms are starting to realize that the technology itself may no longer be the bottleneck. Deployment is.
