TrueFoundry

Our mission is to deliver positive value from Machine Learning by making it fast and scalable! ML Developers (Data Scientists and ML Engineers ) should be enabled to build great ML products to deliver ROI from ML Investments and make everyone's lives better About Us We live in a Data Driven world. Companies are investing huge amounts in Data Pipelines (growing at 40% year-on-year on average) but unable to reap Business value from it. The stats speak for themselves - 90% of ML Models built today don't end up in Production! For the ones that do, it takes a median of 5 weeks. Compare this to 15 minutes it takes teams in FaceBook to deploy a model. A majority of Models deployed start break because of scaling issues. A good % of them are discarded due to issues that are hard to debug because of the absence of right monitoring Systems. All these issues cripple organizations from deriving ROI from their investments in ML and prevent them from moving faster. We believe that 5-10 years from now, organizations will thrive or fail based on how quickly they tie data to real business ROI, which means higher velocity of delivering ML enabled Products. However, companies will not be spending so much engineering bandwidth on a ML platform layer as they are doing today and instead will start with a streamlined system from Day 1. Every ML developer will be able to present their model to the entire world in a matter of minutes. ML will be where compilers are today. At TrueFoundry, we are enabling this transformation by automating parts in the ML pipeline that can be automated and empowering ML Developers to test and launch models in production quickly and with as much autonomy as possible. We draw our motivation from products created by Platform teams in top tech companies like Facebook, Google, Netflix etc that allow all teams to move much faster and deploy and iterate on their own! Simply put, you can go from deploying 1 model in 5 weeks to 5 models a day with best engineering practices like scaling and monitoring inbuilt! Our Vision train-img Imagine a flow where after writing the code — you can call a genie and tell about your requirements like kind of service (Serverless, CronJob, Database, an API service), resource requirements like CPU, memory, etc and the genie creates the service with the best practices like Gitops, Infrastructure as Code (IAC) and then shows a dashboard with all the metrics created. Pharma division of a $100 Bn conglomerate uses us to Boost Revenues. Learn more → Blog Case Studies Projects Documentation About Us Join Our Slack Book Demo Train Deploy Monitor TrueFoundry gives Data Scientists and ML Engineers the fastest framework for Post model Pipeline. We enable instant monitored endpoints for models in 15 minutes with best DevOps practices! Get Early Access Train your model with 5 lines of code Track your experiments using a few lines of code. Track hyperparameters, version control info, metrics, and media. Compare and visualize experiments on our rich dashboard. Compare experiments and choose the best model based on metrics, hyperparameters, and media. Log artifacts from your experiments. Log models, datasets, image, HTML and other artifacts from your experiments and visualize them on the dashboard. Get Early Access Deploy production ready code in minutes Bring your model or predict function Deploy a model function, service or job in one click. Autoscale on CPU / GPU Choose the best deployment solution based on your needs Track on Dashboard Track memory, CPU and manage your services from the dashboard Integrate with your own CI/CD Follow complete Gitops principles for model deployment Built-in Monitoring by default Monitor service health, api latency, errors, cpu and memory usage. Get Early Access Monitor your model with 5 lines of code Model Health Ensure model performance in production is at par with training. Feature Health Detect feature drift. Root-cause analysis via data slice-dice. Raw Data Health Track issues in data pipelines. Debug from service to the single row level. Demo watch TrueFoundry live in action Faster ML Experimentation Save, version, monitor ML experiments and model artifacts Quick Deployment Create an endpoint for your ML Model with single command Monitoring as 1st class citizen Track System and Model Monitoring Metrics instantly Share Demos Publicly Create WebApp without Frontend knowledge and expose to others as per choice. Build some social swag! Integrates with your existing stack. Testimonials TrueFoundry makes your ML team 10x faster 'Today, the DevOps team doesn't trust me to deploy services because they think I will screw up or leak data or incur huge costs. Your Workspace concept with limits and isolation solves the problem and will help build more trust with the DevOps team' Michael Senior Data Scientist 'Getting started with Documentation to final Production of my model was only 45 minutes for me with TrueFoundry. Deploying models using a simple code block with all inference functions seems very handy and easy to use.' Kaggle GrandMaster 'The TrueFoundry product is actually amazing. I have previously faced issues deploying and monitoring models, but I feel the way TrueFoundry is being built and the new features that are about to come,  it will definitely solve problems for a lot of ML developers.' Kaggle GrandMaster 'It's great to see the tech architecture being built in such a platform agnostic way. This is one of the most thoughtful architectures I have seen for any ML System being built and that gives me the confidence to deploy it in my infrastructure' Majd DevOps Manager at BeyondLimits 'I think this is amazing. I have spoken to many people in the ML Pipeline space but no one has openly told me you insert this line of code and that's why it gives me a lot of confidence. The way you have thought of the code structure and orchestration is superb. Nothing is different to me, nothing is alien to me, and yet, it is simpler. When are you guys ready to give this out? I would like to personally use it at NRoad.' Hrishi Co-founder at NRoadCorp 'I am very much interested and one of the reasons is the need to have a whole end to end ML workflow, completely automated and easy to plug into our current ML Stack and it seems TrueFoundry is doing that. I am willing to wait for your solution as this will be a long term scalable solution for my team.' Chirasmita Lead ML Engineer at G2 Blazingly fast way to host, monitor and share your ML Models! 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