October 15 2024

Announcing our Series B, Helping Us Bring Evaluation Intelligence to AI Teams Everywhere

Galileo secures $45M in Series B funding to boost its Evaluation Intelligence Platform, driving AI accuracy and trust for enterprise teams. With backing from leading investors, Galileo is transforming how companies like HP and Twilio evaluate AI performance.

Vikram Chatterji
Vikram ChatterjiCEO
Yash Sheth
Yash ShethCOO
Atindriyo Sanyal
Atindriyo SanyalCTO

Recent Posts

Confidently Ship AI Applications with Databricks and Galileo
LLM Ops: Views from Across the Stack - Join CxOs from leading LLMOps providers to hear their perspectives on the emerging enterprise GenAI stack, from orchestration to evaluation, inference, retrieval and more.
How to Integrate IBM watsonx with Galileo to Evaluate your LLM Applications
Generative AI and LLM Insights: August 2024
LLM Hallucination Index: RAG Special
Webinar: The Future of Enterprise GenAI Evaluations
Webinar – Galileo Protect: Real-Time Hallucination Firewall
Practical Tips for GenAI System Evaluation
Enough Strategy, Let's Build: How to Productionize GenAI
The Enterprise AI Adoption Journey
Mastering RAG: How to select an embedding model
Mastering RAG: Advanced Chunking Techniques for LLM Applications
Mastering RAG: Improve RAG Performance With 4 Powerful RAG Metrics
Generative AI and LLM Insights: February 2024
Webinar - Fix Hallucinations in RAG Systems with Pinecone and Galileo
Mastering RAG: How To Architect An Enterprise RAG System
Mastering RAG: LLM Prompting Techniques For Reducing Hallucinations
Prepare for the impact of the EU AI Act with our guide
5 Key Takeaways From President Biden’s Executive Order for Trustworthy AI
ChainPoll: A High Efficacy Method for LLM Hallucination Detection
Deeplearning.ai + Galileo - Mitigating LLM Hallucinations
Hallucinations in LLMs
Galileo LLM Studio enables Pineonce users to identify and visualize the right context to add powered by evaluation metrics such as the hallucination score, so you can power your LLM apps with the right context while engineering your prompts, or for your LLMs in production
Data Error Potential -- Quantifiably identify the data your models struggle with
Galileo Console surfacing errors on ImageNet
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NLP: Huggingface Transformers NER, understanding BERT with Galileo
Building High-Quality Models Using High Quality Data at Scale
Fixing Your ML Data Blindspots
How we scaled data quality
Introducing ML Data Intelligence For Unstructured Data

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