About our company

Grounding AI in Truth: Pioneering Evaluation for Language Model Application Anchored in Reality.

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Grounded AI's mission is to revolutionize the landscape of AI evaluation by providing cutting-edge tools and services that ensure accuracy and trustworthiness in every AI application. We empower businesses to develop truthful and reliable AI applications effortlessly, breaking free from rigid frameworks and model lock-in.

Our Mission

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Specialized Evaluation Models

We train and release specialized language models tailored for evaluating key metrics like faithfulness, toxicity, hallucination, and relevance in AI outputs and inputs. Our models aim to outperform generalized approaches, offering cost-effective and customizable evaluation solutions.

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Open-Source Initiatives

Fostering transparency and collaboration is at the core of our values. We open-source our evaluation models on Hugging Face and develop an evaluator package on GitHub, allowing users to evaluate AI applications locally while contributing to the advancement of evaluation techniques.

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Consulting and Support

Our team of experts offers consulting services to organizations seeking guidance on building advanced AI applications, leveraging techniques like retrieval-augmented generation, summarization, and AI tooling. We ensure your AI solutions perform as expected, even in production environments.

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Ethical AI Development

Through our commitment to responsible AI development, transparency, reproducibility, and accessibility, we aim to shape the future of generative AI, grounded in ethical principles and fueled by collaborative efforts with the global AI community.

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Comprehensive Evaluation

We provide a comprehensive suite of evaluation metrics and methodologies to assess the performance of LLMs and RAG systems across various dimensions, ensuring data privacy, security, and trust.

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Standardization and Scalability

We aim to provide a standardized and reproducible evaluation framework for consistent and reliable LLM assessment.

The milestones of Generative AI

2018

BERT: A Milestone in NLP

The BERT model, introduced by Google, revolutionizes natural language processing with its bidirectional encoder representations. It sets a new standard for language understanding tasks.

2019

Attention is All You Need

A groundbreaking paper introduces the Transformer architecture, which utilizes self-attention mechanisms to process sequential data. This marks a significant shift in sequence modeling and becomes the foundation for many future advancements.

2020

The Rise of GPT-3

OpenAI unveils GPT-3, a massive language model with 175 billion parameters. Its ability to generate human-like text and perform a wide range of tasks marks a significant milestone in the field of generative AI.

2022

The Emergence of Stable Diffusion

Stable Diffusion, an open-source text-to-image model, gains popularity for its ability to generate high-quality images from text prompts. It sparks a wave of AI-generated art and design.

2023

Mobile AI Advances

Generative AI goes mobile with the development of efficient, lightweight models that can run on edge devices. This brings AI-powered content creation and understanding to a broader audience.

2024

GroundedAI Formed

GroundedAI emerges with a vision to cultivate secure and advantageous AI systems, crafting sophisticated models rooted in practical insights and human principles. We're on a mission to revolutionize AI evaluation, providing advanced tools and services for accurate and trustworthy AI applications.