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Emerging Companies and Venture Capital

Overview

Today’s startups require more than vision—they needed a proven growth strategy. One that’s powered by a diverse team of trusted advisors who are immersed in the ecosystem of emerging companies and venture capital. Envisioning a practice designed to support the rapid growth and agility of emerging companies, we created GrowthStudio™. GrowthStudio powered by Crowell, offers a dedicated team of lawyers, who have collectively represented hundreds of emerging companies, venture funds, and corporate investors, throughout all investment cycles. Our roots hail from leading technology companies to leading legal services firms. We supplement our deep experience with a shared enthusiasm that comes with launching a new venture.

Entrepreneurs and early stage companies rely on sound legal and business guidance from experienced practitioners as they navigate a wide range of issues. Whether it’s the early, middle, or late stages of business growth, GrowthStudio is a one-stop-shop that collaborates with you at every stage. We meet your complex legal challenges with customized and sensible solutions, legal tools and resources, to successfully navigate through formation, capital raising, regulatory compliance, team hiring, and the evolving stages of commercialization.

Our areas of focus include:

  • Emerging Companies
  • Entrepreneur and Executive Advisory
  • Capital Needs and Financing Transactions
  • Early Stage Investors
  • Venture Capital
  • Venture Debt
  • Growth-Stage General Corporate Counseling
  • Commercial Transactions
  • Secondary Sales/Liquidity Rounds
  • Mergers & Acquisitions
  • Initial Public Offerings
  • Public Company Advisory

To learn more about our Emerging Companies and Venture Capital practice, please visit growthstudio.crowell.com.

Insights

Firm News | 1 min read | 06.30.25

DataBahn.ai Raises $17M Series A To Advance Security-Native Data Pipelines

DataBahn.ai, a leader in AI-powered, security-native data pipeline platforms for modern enterprises, has secured $17 million in Series A funding led by Forgepoint Capital, with participation from S3 Ventures and GTM Capital. This brings the company’s total funding to $19 million. Crowell represented Forgepoint Capital, a leading venture capital firm that partners with transformative cybersecurity, artificial intelligence and infrastructure software companies protecting the digital future, in the transaction. The investment will accelerate DataBahn.ai’s product roadmap for agentic AI—autonomous agents that automate data engineering tasks—and support global expansion as the company cements its position as a trusted foundation for enterprise data pipelines. Already trusted by Fortune 50 and Global 2000 organizations, DataBahn.ai’s technology has helped customers reduce telemetry processing costs by over 50%, automate most data engineering workloads, and eliminate blind spots across SIEM, observability, and AI pipelines.

Professionals

Insights

Firm News | 1 min read | 06.30.25

DataBahn.ai Raises $17M Series A To Advance Security-Native Data Pipelines

DataBahn.ai, a leader in AI-powered, security-native data pipeline platforms for modern enterprises, has secured $17 million in Series A funding led by Forgepoint Capital, with participation from S3 Ventures and GTM Capital. This brings the company’s total funding to $19 million. Crowell represented Forgepoint Capital, a leading venture capital firm that partners with transformative cybersecurity, artificial intelligence and infrastructure software companies protecting the digital future, in the transaction. The investment will accelerate DataBahn.ai’s product roadmap for agentic AI—autonomous agents that automate data engineering tasks—and support global expansion as the company cements its position as a trusted foundation for enterprise data pipelines. Already trusted by Fortune 50 and Global 2000 organizations, DataBahn.ai’s technology has helped customers reduce telemetry processing costs by over 50%, automate most data engineering workloads, and eliminate blind spots across SIEM, observability, and AI pipelines.