We are excited to share that Fiddler has raised $18.6M in a Series B extension round bringing our total Series B to $50M in funding to continue to build on our momentum in AI Observability and AI Safety.
Fiddler helps enterprises deploy LLM applications and ML models that are trustworthy and aligned with the highest standards of safety and governance. With the new investment, we will continue to enhance our platform’s LLM observability capabilities and reach, enabling enterprises to deploy and use LLM applications responsibly, at scale, and cost-effectively.
Advancing AI Observability and AI Safety with Strategic Investors
This funding round goes beyond an investment focus to represent a shared commitment to advance responsible AI through AI Observability and AI Safety. Joining us on this journey are new investors Cisco Investments, Capgemini (through its fund ISAI Cap Ventures), Dallas Venture Capital, Alpha Square Group, Samsung Next, and Essence Fund along with our longstanding partners Insight Partners, Lightspeed Venture Partners, Lux Capital, and Dentsu.
Together, they underscore confidence in our ability to deliver transformative value as enterprises integrate more LLM and ML technologies into their operations.
Strategic Goals of the Investment
Fiddler’s mission reflects a shared vision for a future where transparency, fairness, and ethical considerations are at the forefront of AI development. Together with our partners, we will:
- Accelerate the enterprise adoption of the Fiddler AI Observability platform. Last week at re:Invent 2024 keynote, AWS announced Fiddler as a tier-1 partner for our native integration with Amazon SageMaker AI.
- Help enterprises productionize predictive and generative AI applications, enabling better performance, diagnostics, and insights across models and their impact on the business.
- Empower enterprises to scale their AI responsibly and mitigate risks while aligning with AI safety and compliance goals.
To ensure safe and secure LLM deployments, enterprises need AI observability tools that not only monitor performance but also safeguard both business operations and user trust.
Here to help you build trust into AI!
