- Sunnyvale-based Brevian introduces a no-code enterprise platform for AI agent development.
- Co-founded by Vinay Wagh and Ram Swaminathan, who have diverse backgrounds in product management and machine learning, respectively.
- Initially targeting support teams and security analysts, with plans for expansion into other sectors.
- Secured a $9 million seed funding round led by Felicis Ventures, emphasizing the importance of AI applications and security.
- Focus on enterprise AI security, addressing concerns about data leaks and prompt injection attacks.
- Vision to empower business users with AI agents to streamline daily tasks.
- Brevian aims to leverage funding to accelerate product development and expand its team.
Main AI News:
Brevian, the Sunnyvale-based no-code enterprise platform specializing in crafting AI agents, strives to simplify the AI agent creation process for business users. Currently honing its focus on support teams and security analysts, Brevian tackles domains with well-defined use cases and training sets. Yet, the company harbors plans to extend its reach into various sectors over time. Emerging from stealth mode, Brevian proudly announces a substantial $9 million seed funding round.
Founded by Vinay Wagh (CEO) and Ram Swaminathan (CTO), the duo brings diverse expertise to their startup venture. Wagh, previously a product director at Databricks and head of products at Bracket Computing, played a pivotal role in preparing Databricks for enterprise sales and launching its serverless product, Databricks SQL Serverless. Wagh’s realization of the enterprise potential of technologies like ChatGPT fueled the inception of Brevian. Meanwhile, Swaminathan, with a background in computer science and machine learning, spent considerable time at Bell Labs, HP Labs, and LinkedIn’s AI trust team before co-founding Brevian as CTO alongside Wagh.
The genesis of Brevian stemmed from a recognition that the missing link in the AI landscape needed addressing. Both Wagh and Swaminathan understood the promises of evolving technologies but recognized the necessity to solve critical issues hindering seamless integration into enterprise workflows. This realization spurred their collaborative journey to create Brevian.
For Swaminathan, the transition from academia to industry was a transformative experience. His expertise in coding theory, cryptography, and early machine learning efforts at Bell Labs and HP Labs culminated in a significant role at LinkedIn. There, he led the AI trust team, safeguarding a platform that connects people through jobs. The move to co-found Brevian with Wagh allowed him to extend his impact on society by building a product that addresses real-world challenges.
Brevian’s early focus primarily revolved around security concerns related to generative AI. The team swiftly developed models detecting personally identifiable information (PII) and implemented an intent-based system to counter prompt injection attacks. As enterprises grappled with security apprehensions surrounding large language models, Brevian strategically navigated these concerns, realizing that the key to widespread adoption lay in solving tangible problems for businesses.
Jake Storm, a partner at Felicis and lead investor in Brevian’s seed round, emphasized the company’s forward-looking approach. While 2023 witnessed a surge in discussions about AI infrastructure, 2024 is hailed as the year of AI applications. Storm recognized Brevian’s remarkable progress in this landscape, making it a pioneer in the realm of AI applications. The substantial seed funding, led by Felicis, positions Brevian to expedite product development and scale its team, meeting the escalating demand through its early release program.
Conclusion:
Brevian’s emergence with a no-code AI platform underscores a shift towards AI applications in the enterprise landscape. The significant seed funding and focus on security reflect growing market recognition of the importance of AI adoption and data protection. Brevian’s vision to empower business users with AI agents suggests a paradigm shift in enterprise workflow optimization, signaling opportunities for innovation and disruption in the market.
