Machine learning datasets. Curated by humans.
We envisage Knosis as a marketplace for curated human input given on relevant machine learning data sets and data streams.

Available on:


Software & Services


Web Development
Project Management
Product Ownership
UX/UI Design
Machine Learning
Automated testing
Technical Consulting

The Problem

The need for a marketplace responsible for labeling large volumes of raw data ( images, text etc.) in order to use them as ground truth for training machine learning algorithms.

The Solution

Create a new and disruptive marketplace for ground truth data and datastreams in order to train machine learning algorithms.

The Result

A multi-tenant web platform integrated with Stripe, Amazon Mechanical Turk and headless VR environments. Main features includes mechanisms to verifiy the confidence of the tagged data, to randomize task assignation and to estimate budgets and revenue per hours for the customers.

Technologies we used:


ReactJs is in top 3 client-side frameworks, its main competitive advantages are the versatility and the extensibility of the framework.

Java Spring

Spring is THE server-side framework for Java and the best choice for a scalable, modular and blazing-fast application.

Gitlab CI/CD Pipelines

GitLab CI/CD Pipelines is a tool that automates steps in the SDLC like builds, tests, and deployments.


Docker is one of the pillars for a scalable and HA startup.
Using Docker is a standard for delivering quality services every time.


Solr is an open-source enterprise-search platform, written in Java, from the Apache Lucene project. Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features and rich document handling.


MinIO is a cloud storage server compatible with Amazon S3, released under Apache License v2. As an object store, MinIO can store unstructured data such as photos, videos, log files, backups and container images.


Socket.IO is a JavaScript library for realtime web applications. It enables realtime, bi-directional communication between web clients and servers.

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