Funding

California-Based Deep Cogito Raises $43M in Series A Funding

Aug 28, 2026 | By Devin Jacobs

SUMMARY

Deep Cogito raised $43M in Series A funding.
The funding will support AI research and infrastructure.
Deep Cogito develops self-improving AI models.

Deep Cogito, a San Francisco, CA-based post-training research lab focused on reinforcement learning and self-improvement, has raised $43 million in a Series A funding round led by TQ Ventures brought the total amount to more than $56 million.

The round also saw participation from Benchmark, Nexus Venture Partners, Atreides Management, South Park Commons, and Zscaler.

The company will use the capital to expand its research and engineering team, scale AI training infrastructure, and advance its next-generation models.

Funding Snapshot

Metric	Details
Fundraise Amount	$43M
Valuation	Not disclosed
Company	Deep Cogito
Sector	Artificial Intelligence
Headquarters	San Francisco, California, USA

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About Deep Cogito

Founded by Drishan Arora and Dhruv Malrana, Deep Cogito focuses on post-training, reinforcement learning and recursive self-improvement for advanced AI models. The founders previously worked on Google's AI Search products, including AI Mode and AI Overviews.

Core offerings include:

Cogito open-weight models
Reinforcement learning
Recursive self-improvement
Enterprise AI model development

Core Technologies / Products / Services

Capability/Product	Application/Use Case
Cogito Models	Open-weight frontier AI models
Reinforcement Learning	Improves model reasoning and capabilities
Iterated Distillation and Amplification	Enables models to learn from additional computation
Enterprise AI Platform	Creates specialized models using proprietary data

Leadership Comments

"Pre-training gives a model an enormous amount of knowledge and capability. Post-training determines what that model can actually become," said Drishan Arora, co-founder and CEO of Deep Cogito. "We believe the next frontier is in finding ways for models to improve their own intelligence, internalize those improvements, and become increasingly capable over time."

"Very few teams outside the largest AI labs have demonstrated the ability to post-train models at this scale," said Schuster Tanger, Co-Founding Partner at TQ Ventures. "Deep Cogito has done that in public through its model releases, and is now bringing the same capability to companies that want intelligence built around their own products.

"Frontier models were useful but they were not enough for the level of specialization we needed," said Dhawal Sharma, Executive Vice President of AI Security and Strategic Initiatives at Zscaler. Deep Cogito stood out because they went deeper than lightweight customization.