Deeptech Startup ThirdAI Raises USD 3 Million to Power Smarter Semiconductor Manufacturing

In the fast-moving world of semiconductor manufacturing, even a few minutes of downtime can cost millions. Production lines that run with microscopic precision can be disrupted by issues that take hours—sometimes days—to diagnose. In an industry where accuracy and speed are everything, the ability to quickly identify what went wrong and why is not just valuable—it is critical.

It is in this high-stakes environment that deeptech startup ThirdAI is building its play.

Founded in 2024, ThirdAI is now stepping into a larger growth phase. The company has raised USD 3 million in a seed funding round co-led by Endiya Partners and Capria Ventures, marking a significant milestone in its early journey.

ThirdAI Funding

The fresh capital will be used to advance product development, expand its teams in India and overseas, and accelerate deployments with equipment manufacturers and semiconductor fabrication plants.

For a young company operating in a deeply technical and capital-intensive sector, this funding is not just about scale—it is about speed. Speed in innovation. Speed in deployment. And speed in solving one of the semiconductor industry’s most persistent challenges: root cause analysis.

The Founders and the Vision

ThirdAI was founded by Vivek Vishwakarma and Sainyam Galhotra in 2024. The startup operates across India and the United States, reflecting both its ambition and the global nature of the semiconductor ecosystem.

At its core, ThirdAI is building a causal AI-powered platform designed to support root cause analysis (RCA) and troubleshooting in semiconductor manufacturing. The company works closely with semiconductor equipment makers and fabrication facilities—commonly known as fabs—to help reduce downtime and improve production yield.

In semiconductor fabs, even a small deviation can cascade into larger operational issues. Diagnosing such problems often involves sifting through enormous volumes of data, much of which exists in different formats and systems. Traditionally, this process is manual, time-consuming, and dependent on domain experts who must piece together clues from logs, reports, and sensor readings.

ThirdAI believes this is where causal AI can make a difference.

Turning Data Chaos into Clarity

Semiconductor manufacturing environments generate vast amounts of operational data every single day. Equipment logs, sensor data, service reports, field records, and technical documents all capture fragments of what is happening on the shop floor.

But these fragments are often scattered across systems.

ThirdAI’s platform integrates these different data streams into a unified system. By bringing everything together in one place, it creates a structured foundation for analysis.

What sets the company apart is its use of causal AI. Instead of simply detecting patterns or correlations, the platform is designed to identify cause-and-effect relationships across large volumes of operational data. In complex manufacturing settings, understanding causality—what led to what—is far more powerful than just identifying trends.

This approach is particularly valuable in root cause analysis, a critical process in semiconductor fabs. RCA aims to determine the underlying reason for a fault or failure. Today, this process is often handled manually and can take several hours per incident.

For fabs operating around the clock, those hours matter.

Faster Diagnostics, Better Accuracy

According to ThirdAI, pilot and production deployments of its platform have demonstrated faster diagnostic times and improved accuracy compared with traditional manual analysis methods.

This is a strong early signal for the company.

Reducing diagnostic time directly translates into lower downtime. Improved accuracy means fewer repeat issues and better production yield. For semiconductor manufacturers operating in highly competitive global markets, both outcomes can significantly impact operational efficiency and bottom-line performance.

While still at the seed stage, ThirdAI is already positioning itself at the intersection of deep technology and industrial impact. By focusing on one of the most technically demanding sectors in the world, it is betting that advanced AI—when applied with precision—can unlock measurable gains in manufacturing performance.

Expanding Across Borders

With operations in both India and the US, ThirdAI is building a cross-border presence early in its lifecycle. The new funding will support team expansion in India and overseas, enabling the company to strengthen its technical capabilities and deepen engagement with semiconductor equipment manufacturers and fabs.

As global semiconductor supply chains continue to evolve, the demand for smarter, data-driven manufacturing solutions is rising. Companies that can reduce downtime, increase yield, and improve reliability are likely to find strong interest from industry stakeholders.

For ThirdAI, the USD 3 million seed round marks the beginning of a larger journey. The company’s focus remains clear: automate and accelerate root cause analysis using causal AI, helping semiconductor manufacturers move from reactive troubleshooting to intelligent, data-driven operations.

In an industry where precision is measured in nanometers and time is measured in seconds, ThirdAI is building tools designed to make every minute count.

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