FiddleCube Analysis
What is FiddleCube?
FiddleCube is a GenAI compliance and security platform that monitors organizational AI usage and third-party AI risk. It offers real-time GenAI data-exfiltration detection, adversarial risk assessment, and compliance assurance reporting against NIST AI-RMF and ISO 42001. The site also references compliant-llm as the product name and identifies Devpod Inc. as the product operator.
Location
San Francisco, United States
Employees
1-10
Founded
2023
Company Stage
Seed
YC Batch
W23
Product Features & Capabilities
- High-quality datasets for training and red-teaming LLMs, safety datasets for pre-training, fine-tuning, and RLHF, continuous feedback for detecting and mitigating attacks, enterprise-ready hosting with data privacy, compliance with AI security standards (OWASP, NIST, MITRE), flexible plans including free and enterprise options, custom integrations, dedicated support.
Pricing
- Free Plan:
- $100 Credits
- 8 Safety Taxonomies Supported
- Complex Reasoning & Function Calling
- Data management & annotations
- Single-user mode
- Enterprise Plan:
- 10 million tokens Free
- Custom Integrations
- Self hosting & Privacy
- Unlimited User Support
- Dedicated Support
- Compliance & RBAC
Who are the founders of FiddleCube
NN
Neha Nupoor
Founder
KS
Kaushik Srinivasan
Founder
Business Model
Subscription-based revenue model with flexible plans for enterprise and free users.
Investors
- Google DeepMind
- Oasis Capital (United States)
- Y Combinator
Market Focus
FiddleCube primarily focuses on the artificial intelligence (AI) industry, specifically on providing high-quality datasets for building and managing safe AI systems, with an emphasis on safety during the development of large language models (LLMs).
Company Pricing
- Free Plan:
- $100 Credits
- 8 Safety Taxonomies Supported
- Complex Reasoning & Function Calling
- Data management & annotations
- Single-user mode
- Enterprise Plan:
- 10 million tokens Free
- Custom Integrations
- Self hosting & Privacy
- Unlimited User Support
- Dedicated
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