
Glaive
Founded Year
2023Stage
Seed VC | AliveTotal Raised
$3.5MLast Raised
$3.5M | 1 yr agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-61 points in the past 30 days
About Glaive
Glaive specializes in the development of language models for various sectors, focusing on creating models that are efficient and tailored to specific use cases. The company offers language models that are trained on synthetic data and designed to be faster, more cost-effective, and capable of running on consumer hardware compared to general-purpose language model APIs. Its models prioritize data privacy, allowing clients to run them on their own cloud infrastructure without the need to send data externally. It was founded in 2023 and is based in San Francisco, California.
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ESPs containing Glaive
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The Small Language Models (SLMs) tools and development market focuses on the creation, optimization, and deployment of smaller-scale language models. These models, while less complex and resource-intensive than large language models (LLMs) like GPT-4, offer several advantages including cost-effectiveness, faster deployment times, and reduced computational requirements.
Glaive named as Challenger among 11 other companies, including Hugging Face, Sarvam AI, and Arcee.
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Research containing Glaive
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Glaive in 4 CB Insights research briefs, most recently on Jul 15, 2024.

Jul 2, 2024 team_blog
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The AI training data market mapExpert Collections containing Glaive
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Glaive is included in 3 Expert Collections, including Generative AI.
Generative AI
942 items
Companies working on generative AI applications and infrastructure.
AI 100 (2024)
100 items
Artificial Intelligence
6,888 items
Latest Glaive News
Sep 12, 2024
HyperWrite’s Reflection 70B, a new large language model (LLM) based on Meta’s Llama 3.1-70B Instruct, has been introduced by Matt Shumer, CEO of HyperWrite. Shumer claims that Reflection 70B is now the most powerful open-source AI model in the world, outperforming Meta’s Llama series and competing with top commercial models. What sets Reflection 70B apart is its innovative self-correction capability, allowing the model to recognize and fix its own mistakes during inference, enhancing its accuracy in various tasks. Reflection 70B has been tested on multiple benchmarks, including MMLU and HumanEval, using LMSys’s LLM Decontaminator to ensure clean, reliable results. These benchmarks demonstrate the model’s ability to surpass its competitors in terms of performance. Users can interact with the model through a demo on a dedicated website, but the overwhelming demand has caused traffic issues, with Shumer’s team working to scale up GPU resources to meet the surge. A key feature of Reflection 70B is “reflection tuning,” which allows the model to detect errors in its reasoning and correct them in real time. The system uses special tokens to mark reasoning steps, enabling more structured interaction and accurate outputs. This makes it particularly useful for tasks requiring precision, such as comparing numbers or counting characters in words, areas where many other models often fail. Shumer also revealed plans for an even more powerful model, Reflection 405B, set to release soon, which is expected to outpace top closed-source models like OpenAI’s GPT-4. In addition, HyperWrite intends to integrate Reflection 70B into its main AI writing assistant, with details on this integration expected soon. The rapid development of Reflection 70B was made possible by Glaive, a startup specializing in generating synthetic data for AI model training. Glaive’s technology allowed the HyperWrite team to quickly create high-quality datasets tailored to their needs, reducing the model’s training time to just three weeks. Shumer credited Glaive for this efficiency, highlighting how synthetic data can accelerate AI development. HyperWrite, originally founded as Otherside AI in 2020, has grown significantly since its inception. Initially launched as a tool for crafting emails, HyperWrite has expanded to provide a range of AI-driven services, with two million users as of late 2023. The company’s cautious approach to accuracy and safety in AI development mirrors the reflection capabilities embedded in its latest models. Looking forward, Shumer’s ambition is for Reflection models to set new standards for open-source AI, challenging established players in the industry like OpenAI, Anthropic, and Microsoft. With Reflection 405B on the horizon, the balance of power in generative AI might be shifting towards open-source innovations. Leave a Reply
Glaive Frequently Asked Questions (FAQ)
When was Glaive founded?
Glaive was founded in 2023.
Where is Glaive's headquarters?
Glaive's headquarters is located at San Francisco.
What is Glaive's latest funding round?
Glaive's latest funding round is Seed VC.
How much did Glaive raise?
Glaive raised a total of $3.5M.
Who are the investors of Glaive?
Investors of Glaive include Spark Capital, Village Global and Amjad Masad.
Who are Glaive's competitors?
Competitors of Glaive include Argilla and 4 more.
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Compare Glaive to Competitors

Cohere operates as a natural language processing (NLP) company. It offers services that enable businesses to integrate artificial intelligence (AI) into products, with capabilities such as generating text for product descriptions, blog posts, and articles, understanding the meaning of text for search and content moderation, and creating summaries of text and documents. It primarily serves the enterprise sector, providing AI solutions that can be customized to suit various use cases, domains, or industries. It was founded in 2019 and is based in Toronto, Canada.

deepset specializes in natural language processing (NLP) and artificial intelligence (AI), providing solutions for enterprise AI teams. The company offers deepset Cloud, an LLM platform that enables the design, deployment, and monitoring of AI applications, and Haystack, an open-source NLP framework for building applications with LLMs. deepset primarily serves sectors such as finance, legal, insurance, and online media. It was founded in 2018 and is based in Berlin, Germany.

Hugging Face focuses on advancing artificial intelligence through collaboration in the technology sector. It provides a platform for machine learning professionals to build, share, and collaborate on models, datasets, and applications. The company offers solutions that cater to various modalities, including text, image, video, audio, and 3D, as well as enterprise-grade services for teams requiring advanced AI tooling with enhanced security and support. It was founded in 2016 and is based in Paris, France.

AI21 Labs operates as an artificial intelligence (AI) lab and product company. The company offers a range of AI-powered tools, including a writing companion tool to assist users in rephrasing their writing and an AI reader that summarizes long documents. It also provides language models for developers to create AI-powered applications. It was founded in 2017 and is based in Tel Aviv, Israel.

One AI is a company that specializes in generative artificial intelligence (AI) within the technology sector. The company offers services such as language analytics, customizable AI skills, and the processing of text, audio, and video data into structured, actionable insights. It primarily serves sectors such as customer service, e-commerce, media, healthcare, and government. It was founded in 2021 and is based in Ramat Gan, Israel.

Explosion runs a software company focusing on artificial intelligence (AI) and natural language processing. The company offers developer tools to facilitate machine learning and data annotation, as well as advanced natural language processing capabilities. Its services primarily cater to the AI and machine learning industry. It was founded in 2016 and is based in Berlin, Germany.
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