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TrueFoundry

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46 reviews
  • 1 profiles
  • 4 categories
Average star rating
4.7
Serving customers since
2021
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TrueFoundry Reviews

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AG
Amar G.
06/05/2024
Validated Reviewer
Review source: Organic

Helped us get models into production FAST

TrueFoundry helped us test several different open source models, and even helped us find an embedding model that works much better than openAI (for our needs). They handled all the infrastructure for it automatically. TrueFoundry also automates Autoscaling and Infrastructure orchestration to host our model. We don't even have to think about it. There was a small hiccup when we launched last year, and they were on it and fixed it ASAP.
Enrique M.
EM
Enrique M.
06/05/2024
Validated Reviewer
Verified Current User
Review source: Organic

Easing up continuous deployment

It makes it extremely easy and fast to deploy new services/models to test environments and then promote them to production with just a few clicks. This is facilitated by a great UI that abstracts all the Kubernetes infrastructure, allowing us to reduce costs and move to different server providers seamlessly.
Rishabh  S.
RS
Rishabh S.
06/05/2024
Validated Reviewer
Verified Current User
Review source: Organic

One stop plaform for cloud ML Deployments

Abstracted Kubernetes Pipeline, Cost Savings from Compute Sharing, Customer Support, Ease of Implementation

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HQ Location:
San Francisco, California

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What is TrueFoundry?

TrueFoundry is a Cloud-native Machine Learning Training and Deployment Platform that enables enterprises to realize value from their Machine learning initiatives by speeding up developer workflows to test and deploy models while ensuring security and control for the Infra team. We enable Machine learning Teams to deploy and monitor models in 15 minutes i.e. at speed of Big Tech with 100% reliability and scalability - allowing them to save cost and release Models to production faster, enabling business value realisation. We integrate with your internal tools, deploy on your internal Infrastructure (Cloud or On-prem) and ensure complete Data Privacy and DevSecOps practices. For the enterprises we have worked with, we have helped them achieve the following: 5% Additional revenues from efficient ML Workflow adoption, 15-20% lower cost of Infrastructure and 40% Faster Time to market.

Details

Year Founded
2021