nowfound

Dev tools · alternatives · 2026

24 alternatives to iko.ai

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

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. iko.ai launched in 2021; newer entries below may have overtaken it.

  1. 1UY
  2. 2
    IKI.AI▲894

    LLM powered intelligent knowledge interface

    2024 · iki.ai · its alternatives →

  3. 3
    Miro AI▲492

    You and your team, supercharged

    2023 · miro.com · its alternatives →

  4. 4

    Instant, automated support for customers and internal teams

    2024 · its alternatives →

  5. 5
    Layer AI▲124

    Metadata store for production ML

    2022 · layer.ai · its alternatives →

  6. 6

    Integrate pretrained machine learning models in minutes.

    2021 · pretrained.ai · its alternatives →

  7. 7

    Make machine learning work for you, not the other way around

    2022 · amazonasweb.ro · its alternatives →

  8. 8

    Developer tools for deep learning & machine learning

    2019 · wandb.ai · its alternatives →

  9. 9

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

    2022 · aws.amazon.com · its alternatives →

  10. 10

    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 →

  11. 11
    Akkio▲298

    No-code ML for modern sales and marketing teams

    2021 · akkio.com · its alternatives →

  12. 12

    Deploy machine learning models with one line of code

    2023 · keaml.com · its alternatives →

  13. 13
    Kerno▲132

    Hey HN! Anibal, Sean, Vlad, Maxi and Karim here we're the co-founders of Kerno (https://www.kerno.io/). We're building a zero-hassle tool to help developers monitor and troubleshoot their services in a way that makes sense. No complex rollouts, no custom infra, no tons of instrumentation, no sidecars… none of that! Just a minimum effort, out-of-the box, highly contextualized and interactive experience so you and your team can focus on shipping! We basically scan your cluster resources, build usable abstractions on top of all the kubernetes craziness, identify monitor your…

    Dec 2025 · kerno.io · its alternatives →

  14. 14

    Deploy machine learning into production 🚀

    2021 · its alternatives →

  15. 15

    Extend your product to train ML models on distributed data

    2022 · integrate.ai · its alternatives →

  16. 16
    Katen▲68

    Machine learning based Kubernetes optimization engine

    2020 · its alternatives →

  17. 17

    No-code AI Lab: Train models, access datasets, run inference

    Feb 2026 · neuro-block.com · its alternatives →

  18. 18
    Cortex▲81

    Deploy, manage, and scale machine learning applications

    2019 · its alternatives →

  19. 19
    Comet.ml▲208

    Automatically track machine learning code and experiments

    2018 · comet.com · its alternatives →

  20. 20

    Deploy, Track, and Monitor Machine Learning Models

    2020 · its alternatives →

  21. 21

    AI control plane to schedule, run, debug, observe, and automate AI/ML workloads, agents, and sandboxes on your infra.

    2018 · polyaxon.com · its alternatives →

  22. 22AR
  23. 23

    A large part of our (Real Kinetic's) business is helping organizations implement platform engineering, but we've found the existing tooling to be lacking. For IaC, Terraform state becomes a pain because TF treats infrastructure as "one-shot" commands. The Kubernetes controller model provides a nicer approach to managing infrastructure, but the tooling here is also lacking. For configuration management, Helm just doesn't really scale with complexity, nor does Kustomize. For resource orchestration, Crossplane is a step in the right direction but still has challenges and limitations. As a…

    2025 · koreo.dev · its alternatives →

  24. 24

    A couple of months ago, we left our jobs to build UpTrain AI, an open-source machine learning observability and refinement tool which helps users understand the performance of their models in production and improves them over time by identifying problematic data-points for retraining. Data drift, Distribution shifts, Model degradation, Edge cases - we have personally faced these problems in our previous organizations and have built a lot of tooling to solve them. We are building UpTrain so that others don’t need to build them and can solely focus on improving their ML models while we…

    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 →