Vectara, a trusted Generative AI (GenAI) product platform, announced it has closed a $25 million Series A round led by FPV Ventures and Race Capital. The additional investors include Alumni Ventures, WVV Capital, Samsung Next, Fusion Fund, Green Sands Equity, and Mack Ventures.
This funding round, combined with last year’s $28.5 million seed funding round, brings the total funding to $53.5 million. It aims to advance the state of Retrieval-Augmented Generation (RAG) as a Service for regulated industries.
With this funding round, Vectara will advance internal innovations, ramp up its go-to-market resources, and expand its offerings in the Australia and EMEA regions. In connection with the funding round, Pegah Ebrahimi (co-founder and managing partner of FPV Ventures) will join Vectara’s board of directors.
As part of an ongoing commitment to innovation, Vectara is excited to unveil Mockingbird – which is a new fine-tuned generative Large Language Model (LLM) specifically designed for RAG applications. And Mockingbird is engineered to reduce hallucinations and improve structured output, providing reliable performance with low latency and cost efficiency.
Combining Mockingbird with Vectara’s Hughes Hallucination Evaluation Model (HHEM) makes it especially beneficial for regulated industries such as health, legal, finance, and manufacturing, where accuracy, security, and explainability are critical. As the demand grows for AI integration with downstream systems and the use of functional calls for autonomous agents, Mockingbird’s ability to produce structured outputs will be a significant advantage.
Unlike general-purpose LLMs, Mockingbird is customized to meet the specific demands of RAG, delivering superior performance and operational excellence. And for RAG output quality, Mockingbird surpasses GPT-4 by 26% in Bert-F1, highlighting its unparalleled capability.
With faster performance, Mockingbird also integrates seamlessly within Vectara’s ecosystem and ensuring reliable performance and increased security without any third-party dependencies.
AI hallucinations are a major concern across various industries, especially in regulated sectors. And Vectara has already made significant strides in addressing this issue through its industry-first open-source Hughes Hallucination Evaluation Model and leaderboard, which thousands utilize to mitigate hallucinations. Mockingbird represents a significant advancement toward driving accuracy in AI-generated answers and minimizing the risks associated with hallucinations.
Several investors have returned to contribute to the Series A funding round, proving their commitment to the vision and solidifying their view of the massive opportunity ahead for RAG. And early investors in Vectara include Race Capital, Databricks Ventures, Feld Ventures, GTM Capital, Fusion Fund, Top Harvest Capital, BECO Capital, Vertex, Essence, and Spark Labs. This funding round brings the company’s total financing to $53.5 million.
KEY QUOTES:
“At FPV we want to partner with founders who are building technologies that address the opportunities and risks associated with generative AI. There are specific challenges unique to enterprises when it comes to implementing LLMs that I saw first-hand as a former CIO, from accuracy to safety to cost. Vectara’s RAG-as-a-service is uniquely positioned to solve this, enabling anyone in any size enterprise to ship real value add use cases more efficiently.”
– Pegah Ebrahimi, Co-Founder and Managing Partner of FPV Ventures
“Vectara’s new Mockingbird took HuckAI from being an overly polite librarian to giving answers I would expect from a senior coworker. The responses are clearer, easier to follow, and provide direct answers to difficult questions, helping our users get more work done. I switched immediately.”
– Founder of HuckAI Sunir Shah
“The company’s push into models is an interesting move – others have been resistant to invest in an area well held by leaders like OpenAI. But it highlights limitations in both the high cost and genericism of the most performant public models and should put Vectara in a position to offer more control and deployment flexibility as the market demands it. Data from our upcoming Voice of the Enterprise: AI & Machine Learning, Infrastructure survey shows a year-over-year increase in organizations primarily deploying generative AI via end-to-end services and software providers as opposed to those building from scratch.”
– S&P Global’s Melissa Incera
“Retrieval Augmented Generation (RAG) has swiftly become a cornerstone of enterprise AI strategies. We are immensely proud to see Vectara being embraced by countless enterprise customers, machine learning developers, and prompt engineers. Vectara is on track to become the industry standard for RAG, especially for regulated industries, and we are thrilled to expand our support and investment in this journey.”
– Alfred Chuang, General Partner at Race Capital
“The recent $25 million Series A funding will enable us to further innovate and expand our offerings, ensuring we continue to lead the way in trusted generative AI technology. With Mockingbird, we’re not just pushing the boundaries of AI trustworthiness; we’re empowering regulated industries to leverage reliable AI solutions with confidence, paving the way for a future where AI can be a dependable partner in mission-critical tasks.”
– Amr Awadallah, Co-Founder and CEO of Vectara
