IntuigenceAI, the Berkeley-based industrial AI startup pioneering synthetic “AI engineers,” has announced a $10 million seed funding round. The round was led by Innovation Endeavors, with support from Recursive Ventures and Think+ Ventures. The capital will accelerate deployment of IntuiAI, its platform of intelligent agents capable of executing high-impact engineering workflows across refining, manufacturing, and infrastructure.

Founded in 2024 by Moe Tanabian, former Microsoft and Amazon executive, IntuigenceAI is not building yet another chatbot. Instead, the team is solving a global workforce challenge: engineering capacity in asset-heavy industries is shrinking, while the complexity of operations continues to grow. Intuigents - AI agents modeled after mechanical, process, and chemical engineers - aim to fill that widening gap.

A New Model for Engineering at Scale

Each Intuigent is trained to perform domain-specific tasks like coordinating maintenance planning, parsing instrumentation data, and reviewing compliance workflows. These agents are already outperforming benchmarks, posting an 81% first-attempt pass rate on the NCEES engineering exam - nearly eight times higher than GPT-4o’s results. More importantly, they operate within a platform that integrates into existing enterprise systems like Microsoft Teams and Fabric, acting as a real extension of the engineering team rather than a separate tool.

The platform is architected to meet enterprise needs from day one - every action logged, every insight traceable, and all data compliant with security protocols. Early pilots across petrochemicals, utilities, and high-tech manufacturing sectors are demonstrating measurable time and cost savings, especially in routine workflows that human engineers rarely have time to optimize.

And here lies one of the most powerful lessons for founders: IntuigenceAI didn’t start with a flashy use case. They didn’t chase the trendiest corner of AI or target over-served SaaS markets. They began where the pain is deep but quiet - where billions are lost not because of broken systems, but because of invisible inefficiencies baked into the way work is done. That’s where synthetic engineers aren’t just helpful; they’re transformative.

The team also chose to design their agents not as standalone apps, but as infrastructure - intelligence that blends directly into operations. That framing creates a higher bar, but it also creates a more defensible company. Founders building in AI today should take note: utility isn’t always about novelty. It's about becoming so woven into the customer’s value chain that your product stops being seen as a tool - and starts being treated as capacity.

From Concept to Industrial Traction

IntuigenceAI is already deployed inside Fortune 100 enterprises, where their AI agents are actively coordinating preventative maintenance cycles, interpreting technical drawings, and reducing documentation backlogs. These real-world applications show that synthetic intelligence isn’t just theoretical - it’s ready to co-author the future of industrial engineering.

The company’s integrations with Microsoft OneLake and Azure infrastructure make it frictionless for enterprises to embed AI into daily operations without needing to overhaul legacy systems. Every interaction is auditable, and outputs from agents come with safety and compliance checkpoints. This approach gives enterprises what they really want from AI: speed without risk, automation without compromise.

Use of Funds and Expansion Roadmap

With the new $10M in funding, IntuigenceAI will expand into additional engineering disciplines such as electrical, civil, and structural engineering. Investment will also go into refining their AI model accuracy, expanding the task library, and building deeper integrations into cloud infrastructure and enterprise security stacks.

The company is hiring aggressively across AI research, engineering operations, and go-to-market teams as it prepares to serve a broader global industrial customer base. The roadmap also includes “Intuigent Academy,” a program to help enterprise teams train and customize AI agents for domain-specific roles using their internal documentation and workflows.

Investors Betting on Infrastructure Intelligence

Leading the round, Innovation Endeavors believes IntuigenceAI has the right ingredients to become a defining infrastructure company for AI in the industrial world. The team’s background, paired with deep technical execution and a grounded go-to-market strategy, positions it to reshape how work gets done across trillion-dollar sectors.

Recursive Ventures and Think+ Ventures joined in, pointing to the company's ability to create a new layer of engineering capability - automated, explainable, and built to endure. As traditional engineers retire and the skills gap widens, investors see synthetic engineering not as a luxury, but a necessary evolution in the industrial stack.

The Road Ahead

IntuigenceAI is part of a new generation of deeptech startups that doesn’t just talk about automation - it delivers it in high-stakes environments, with enterprise-grade reliability. The company’s vision extends beyond AI assistants or chat interfaces. It’s about creating a scalable, safe, and intelligent labor force that can extend what human teams are capable of, without replacing their critical thinking or creativity.

As infrastructure gets smarter and operations more dynamic, the companies that thrive will be those that can scale talent - not just hardware. IntuigenceAI is betting on a future where synthetic engineers become as vital as physical machinery.