MIT Dropouts Who Left College to Build an AI Startup Just Raised $32M at a $300M Valuation in AICY Speed
A-Series Startup Delve Raises $32M, Valuation at $300M
Movers & Shakers: How Two 21-Year-Olds Built a $300 Million Business with A.I. and Enterprise Software
In a meteoric rise in the artificial intelligence and enterprise software community, two 21-year-old MIT dropouts—Karun Kaushik and Selin Kocalar—have just raised $32 million in a Series A round for their AI compliance company, Delve.
The round was led by Insight Partners, with additional funding from a handful of the company’s current investors, who also participated in Delve’s $3 million seed round reported only earlier this year.
The success of the fundraise, for all its headline-worthy impressiveness, highlights a larger narrative around agility, timing, and the growing demand for actual AI governance solutions as enterprises move quickly to bring generative AI into their workflows.
A Shortcut to Enterprise Trust
Kaushik and Kocalar weren’t looking to raise their Series A this soon. When they launched Delve, they believed they could expand slowly while polishing their AI risk and compliance platform. However:
- Interest among big-enterprise clients
- Ongoing buzz in the venture capital community
…accelerated their timing.
Delve’s platform helps companies understand, track, and ensure regulatory adherence in their AI systems. It quickly found traction with legal and risk teams in industries such as:
- Finance
- Health care
- Logistics
As more players explore AI—particularly large language models (LLMs) and generative tools—the need to keep these systems safe, auditable, and compliant with constantly evolving regulations has risen sharply.
Kaushik in an interview:
“We continually heard the same pain points — companies are enthusiastic about AI but afraid of the sorts of legal and regulatory uncertainty that surround it. That’s where Delve fits in.”
From the Dorms at MIT to the Boardroom
Delve began as a side project while Kaushik and Kocalar were students at MIT. With backgrounds in computer science and AI ethics, they started by building tools that helped developers understand how their machine learning models were making decisions.
Their early prototypes caught the eye of advisors and investors, prompting the pair to drop out and work on Delve full-time.
What began as a lightweight compliance dashboard evolved into a comprehensive AI governance solution, empowering software teams to:
- Run bias and fairness audits on AI models
- Track model drift and performance over time
- Ensure compliance with GDPR, EU AI Act, and emerging U.S. frameworks
- Automate compliance reports for regulators and business stakeholders
- Establish boundaries and guardrails for AI usage within organizations
The platform’s user interface (UI) is designed to serve both engineering and legal departments, which has likely been critical to its early enterprise adoption.
Insight Partners Finds a New Compliance Frontier
Delve’s Series A was led by Insight Partners, one of the most active growth-stage investors in enterprise software.
A managing partner from Insight, who is also joining Delve’s board, explained:
“Regulatory compliance for A.I. will be the defining challenge for the next 10 years. Delve is not only solving a niche problem — they are developing the operating system for safe and responsible enterprise AI adoption.”
This view was echoed by returning seed investors such as General Catalyst and Village Global.
Why Businesses Are Adopting AI Compliance Tools Now
The conversation around AI has recently shifted from enthusiasm to concern. As generative AI becomes more powerful, companies face increasing pressure from:
- Regulators
- Shareholders
- Public watchdogs
…to ensure their use of AI is fair, explainable, and non-harmful.
Key Drivers of Adoption:
- Global Regulation
- Laws like the EU AI Act are setting strict high-risk exposure requirements.
- Reputational Risk
- Companies have suffered backlash from biased or opaque AI decisions.
- Internal Complexity
- Developers often don’t fully understand how AI models make decisions.
- Board-Level Pressure
- Executives now view AI governance as a strategic priority, not just a technical one.
Delve’s product directly addresses these issues with an end-to-end system that integrates with model development workflows while meeting legal and compliance requirements.
A Market with Room to Grow
While AI compliance is still an emerging sector, Delve is not alone. Other startups such as:
- Credo AI
- Holistic AI
- Arthur
…are also developing compliance tools.
Yet Delve’s rapid expansion and young, visionary leadership set it apart.
- From stealth to multiple Fortune 500 contracts in under a year
- Growth to 40 employees
- Aggressive hiring in engineering and customer success
Kocalar explains:
“We are always working with our customers’ legal teams to try to keep a step or two ahead of what’s coming next — from explainability requirements to model disclosures.”
What’s Next for Delve
With $32 million in new funding, Delve is focused on:
- Expanding the engineering team to build more advanced audit and reporting tools
- Launching integrations with platforms like Hugging Face and Azure ML
- Developing localized compliance templates for global clients
- Expanding relationships with law firms and consultants
- Offering certification readiness packages for AI audit preparation
As enterprises rush to deploy AI, Delve’s mission has become more important than ever.
Its unique blend of technical depth, ethical grounding, and business execution is drawing continued attention from both customers and investors.
Final Thoughts
In a tech landscape flooded with startups chasing the next flashy AI app, Delve’s founders are taking a different route:
A deep infrastructure play that equips enterprises to use AI safely and legally.
Though young by boardroom standards, their vision is mature and their market timing impeccable.
As Kocalar aptly puts it:
“AI is changing the way businesses do business. But if it’s going to be sustainable, it needs to be accountable.”
Delve has now raised $32 million in new financing, just weeks after emerging from stealth with an AI-based system for automatically analyzing vast datasets across multiple sources. With momentum on their side, they are well on their way to becoming a foundational player in the next generation of enterprise AI.
