Gantry

Gantry

Powerful observability, analytics, and evaluation for your AI-powered products. Learn more

Financials

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Revenues, earnings & profits over time
USD202120222023
Revenues<1m1.4m2.6m
% growth-216 %83 %
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DateInvestorsAmountRound
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N/A

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Seed
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$4.4m

Seed
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$23.9m

Series A
Total Funding$28.3m

Recent News about Gantry

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More about Gantryinfo icon
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Gantry.io is a startup that provides comprehensive tools for managing machine learning (ML) systems. Founded by alumni of OpenAI and the creators of Full Stack Deep Learning, Gantry focuses on giving businesses full visibility into their ML models. This includes tracking data from training, evaluation, and production stages with just a few lines of code. The platform allows users to log, summarize, and visualize this data, making it easier to decide when to retrain models, what data to use, and which models are performing best.

Gantry primarily serves data scientists, ML engineers, and organizations that rely heavily on machine learning for their operations. These clients span various industries, including technology, finance, healthcare, and e-commerce. The market for ML operations (MLOps) is growing rapidly as more companies integrate machine learning into their core processes.

The business model of Gantry revolves around providing a software-as-a-service (SaaS) platform. Clients subscribe to Gantry's services to gain access to its suite of tools for ML monitoring, evaluation, and continual learning. This subscription-based model ensures a steady stream of revenue for the company.

Gantry makes money by offering different tiers of service, which may include basic features for smaller teams and more advanced capabilities for larger enterprises. Additional revenue streams could come from premium features, custom solutions, and dedicated support services.

In summary, Gantry.io is a specialized platform designed to streamline the management and optimization of machine learning systems. By offering tools that simplify data logging, visualization, and evaluation, Gantry helps businesses make more informed decisions about their ML models, ultimately improving performance and efficiency.

Keywords: machine learning, MLOps, data visualization, model evaluation, SaaS, continual learning, OpenAI alumni, Full Stack Deep Learning, ML monitoring, data engineering.

Tech stack

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Tech stackLearn more about the technologies and tools that this company uses.