nowfound

AI · alternatives · 2026

24 alternatives to Sagify - Train and deploy ML/DL models on AWS SageMaker made simple

LLMs and Machine Learning done easily. Contribute to Kenza-AI/sagify development by creating an account on GitHub.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Sagify - Train and deploy ML/DL models on AWS SageMaker made simple launched in 2018; newer entries below may have overtaken it.

  1. 1
    Sagify▲68

    Building AI products on AWS SageMaker made simple

    2018 · github.com · its alternatives →

  2. 2

    Build, train, and deploy machine learning models at scale

    2017 · aws.amazon.com · its alternatives →

  3. 3

    Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…

    2025 · github.com · its alternatives →

  4. 4
    Taylor AI▲118

    Fine-tune open source LLMs in minutes

    2023 · trytaylor.ai · its alternatives →

  5. 5

    Do you know that Small Language Models (SLM) can outperform LLMs if trained (fine-tuned) on domain specific datasets, like your companies knowledge base? The issue: fine-tuning a SLM usually requires a dataset of 10k - 100k records, which is huge. I created a platform for applying "human in the loop" augmentation techniques on your small dataset, so that you can start with maybe 100 records and build-up quickly huge datasets and launch a training without prior knowledge. I implemented 2 techniques, based on LLM distillation, however: more to come. HN, what Do you think? Do you see value in…

    2025 · tunetrain.ai · its alternatives →

  6. 6
    Dify.AI▲261

    Open-source platform for LLMOps, define your AI-native apps

    2023 · dify.ai · its alternatives →

  7. 7

    Deploy machine learning models with one line of code

    2023 · keaml.com · its alternatives →

  8. 8

    AI for Cloud management saving you up to 10% on AWS bills

    2017 · squaredsd.com · its alternatives →

  9. 9
    iko.ai▲76

    Train, track, deploy, & monitor your machine learning models

    2021 · its alternatives →

  10. 10
    Arkor▲142

    Fine-tune and Deploy Open-weight Models in TypeScript

    Jul 2026 · arkor.ai · its alternatives →

  11. 11
    Sage▲111

    Your all-in-one AI generative platform

    2023 · its alternatives →

  12. 12

    Production infrastructure for machine learning at scale - GitHub - cortexlabs/cortex at v0.15.1

    2020 · github.com · its alternatives →

  13. 13
    Pioneer▲113

    Fine-tune any LLM in minutes, with one prompt

    Apr 2026 · pioneer.ai · its alternatives →

  14. 14
    Oumi▲24

    Since yesterday, I've created a dataset out of a few docs I had (hackathon organization instructions) and then started fine tuning qwen 3.5. So it only took a few hours! I'm impressed by the ease of use - it's a chatbot and even if you don't have a lot of experience you can follow steps. Though don't want to undermine it, I'm sure could be a great fit for serious labs too.

    Apr 2026 · oumi.ai · its alternatives →

  15. 15

    Train custom ML models with minimum effort and expertise

    2018 · cloud.google.com · its alternatives →

  16. 16

    Train and run your AI models easily at low cost in the cloud

    2022 · aws.amazon.com · its alternatives →

  17. 17

    Ask questions about your data in plain english

    2023 · movinglake.com · its alternatives →

  18. 18

    Build cutting-edge AI products with expert AI specialists

    2023 · remotebase.com · its alternatives →

  19. 19

    Deploy your machine learning model in a single line of code.

    2020 · its alternatives →

  20. 20

    a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0

    2021 · github.com · its alternatives →

  21. 21

    Virtual software as a service procurement team

    2021 · sastrify.com · its alternatives →

  22. 22

    Hey HN! A few months ago we shared our AI dataset generator as an open source repo, and the response was incredible (https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=44388093). We got requests from folks who wanted to use it without the hosting overhead, so we created both options: a hosted version (https:&#x2F;&#x2F;www.metabase.com&#x2F;ai-data-generator for instant use and the source code fully open (https:&#x2F;&#x2F;github.com&#x2F;metabase&#x2F;dataset-generator) for anyone who wants to self-host or contribute. Looking forward to seeing how you use it and what you build on top of…

    2025 · metabase.com · its alternatives →

  23. 23

    AI fine-tuning platform to create custom LLMs

    2024 · finetunedb.com · its alternatives →

  24. 24

    Hey HN, We are Zain and Ashish, founders of Vanna AI. We recently embarked on an experiment to see if large language models (specifically LLMs) could help in generating SQL queries for real-world datasets. We initially started this project as a web app but realized that it was most useful and had broadest applicability as a Python package since you can then incorporate it into an existing workflow (Jupyter notebook, Slackbot, etc). We've had some good success with customer datasets but we've generally heard a lot of skepticism so we decided to write a paper about the methodology we're using…

    2023 · github.com · its alternatives →

Also compare

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →

Sagify - Train and deploy ML/DL models on AWS SageMaker…