Total amount raised
$44 Million
Latest funding date
12/1/2021
Location
Robust Intelligence has successfully raised funding through three rounds, with notable participation from investors such as Tiger Global Management and Engineering Capital. The company has been acquired by Cisco, integrating its AI security solutions into Cisco's broader AI security framework.
Keep reading to explore the intricacies of Robust Intelligence's fundraising journey and the investors backing this innovative platform.
What Is Robust Intelligence?
Robust Intelligence, based in San Francisco, California, is a software firm specializing in AI security and safety. The company operates in the fields of artificial intelligence, enterprise software, machine learning, software, and software engineering.
Founded by a team of experts, Robust Intelligence has grown to employ between 51-100 people. The company has been acquired by Cisco, integrating its innovative AI security solutions into Cisco's broader AI Defense and Foundation AI initiatives.
How Much Funding Has Robust Intelligence Raised?
- Seed Round
- Amount Raised: USD 3,000,000
- Date: March 2019
- Lead Investors: Engineering Capital, Sequoia Capital
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: To develop initial product offerings and establish a market presence in AI security.
- Series A
- Amount Raised: USD 11,000,000
- Date: February 2020
- Lead Investors: Sequoia Capital
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: To expand the team and accelerate product development.
- Series B
- Amount Raised: USD 30,000,000
- Date: December 2021
- Lead Investors: Tiger Global Management
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: To scale sales operations and invest in product and engineering development.
Total Amount Raised: USD 44,000,000. Current Valuation: Not publicly disclosed.
Key Investors
- Tiger Global Management
- Details: Tiger Global Management is a leading global investment firm that focuses on private and public companies. They participated in the Series B funding round for Robust Intelligence.
- Investment Focus Areas: Internet, software, consumer, financial technology.
- Notable Investments: Facebook, LinkedIn, Spotify.
- Sequoia Capital
- Details: Sequoia Capital is a prominent venture capital firm known for investing in early and growth-stage companies. They led the Series A round and participated in the Series B round for Robust Intelligence.
- Investment Focus Areas: Technology, healthcare, consumer services.
- Notable Investments: Apple, Google, Airbnb.
- Engineering Capital
- Details: Engineering Capital is a venture capital firm that focuses on seed-stage investments in technology companies. They participated in the Series B funding round for Robust Intelligence.
- Investment Focus Areas: Seed-stage technology companies.
- Notable Investments: Not publicly disclosed.
- Harpoon Venture Capital
- Details: Harpoon Venture Capital is a venture capital firm that invests in early-stage technology companies. They participated in the Series B funding round for Robust Intelligence.
- Investment Focus Areas: Early-stage technology companies.
- Notable Investments: Not publicly disclosed.
What's Next for Robust Intelligence?
Robust Intelligence stands at the cusp of significant growth, driven by its unique solution to stress test AI models and prevent failures. The company's core product, the Robust Intelligence Model Engine (RIME), acts as an AI firewall, ensuring the reliability of AI models across various industries. This critical need in the AI sector presents a substantial opportunity for the company to expand its market presence and enhance its product offerings.
With the recent influx of funding, Robust Intelligence is well-positioned to attract further investment as it continues to demonstrate the effectiveness of its solutions. The growing emphasis on AI reliability and the increasing adoption of AI technologies underscore the potential for future fundraising opportunities. However, the company must navigate challenges such as ensuring the scalability of its solutions and staying ahead of rapid advancements in AI technology.
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