Top Free MLOps Platforms - Page 3

How Many MLOps Platforms Products Does G2 Track?

Total Products under this Category: 384

Category Stats (Nov 2026)

  • Average Rating: 4.51/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Rapidminer SLC (+0.61%) - Among all products in this category, Rapidminer SLC recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank MLOps Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 8,100+ Authentic Reviews
  • 384+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for MLOps Platforms

G2 Grid® for MLOps Platforms plotting products by satisfaction and market presence

Highlighted products: Databricks, Gemini platform, Vertex Explainable AI, IBM watsonx.ai, Amazon SageMaker, Microsoft Fabric, Roboflow, and Snowflake.

Underlying data: [Grid® JSON](https://www.g2.com/categories/mlops-platforms/grids.json?focus%5B%5D=databricks&focus%5B%5D=gemini-platform&focus%5B%5D=vertex-explainable-ai&focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=amazon-sagemaker&focus%5B%5D=microsoft-fabric&focus%5B%5D=roboflow&focus%5B%5D=snowflake)

Labellerr

Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling tasks and have modules to manage multiple projects, users, and millions of unstructured data. Teams can perform- 1. Automated data curation 2. EDA (Exploratory Data Analysis) 3. Automated data labeling 4. Quality control with assurance 5. Automated QC 6. Model debugging Data types that it supports are images, videos, text, audio, and PDFs. Use cases it supports are object detection, segmentation, classification, image captioning, transcription, and translation. The active learning feature has helped users save 1000s USD per task. Labellerr recently launched LabelGPT which labels images using a prompt. It leverages the combination of generative AI models to label data in minutes rather than months.

Average Rating: 4.8/5.0

Total Reviews: 21

How Do G2 Users Rate Labellerr?

  • Ease of Use: 9.6/10 (Category avg: 8.9/10)
  • Scalability: 8.3/10 (Category avg: 9.0/10)
  • Metrics: 8.3/10 (Category avg: 8.7/10)
  • Framework Flexibility: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind Labellerr?

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 57% Small, 38% Medium

What Do G2 Reviewers Say About Labellerr?

AI-generated summary from verified user reviews

Pros
  • Users commend the annotation efficiency of Labellerr, highlighting the quality and seamless collaboration it offers.
  • Users appreciate the excellent collaboration of Labellerr, highlighting the strong teamwork and high-quality annotations.
  • Users appreciate the responsive customer support of Labellerr, noting the team's constant availability for assistance.
  • Users commend the excellent annotation quality of Labellerr, enhancing accuracy and team collaboration.
  • Users commend the efficiency of Labellerr, highlighting teamwork and high-quality annotations that enhance productivity.
Cons
  • Users find the difficult setup process of Labellerr to be time-consuming and challenging for collaboration.

What Are Recent G2 Reviews of Labellerr?

Cortex Certifai

Cortex Certifai generates the first-ever composite trust score, the AI Trust Index, that measures data and model risks related to Performance, Data Quality, Robustness, Explainability, Fairness, and Compliance. Certifai can be applied to any black-box model including machine learning models, statistical models, business rules, and other predictive models and works with a variety of input data.

Average Rating: 4.4/5.0

Total Reviews: 4

How Do G2 Users Rate Cortex Certifai?

  • Ease of Use: 10.0/10 (Category avg: 8.9/10)
  • Scalability: 9.2/10 (Category avg: 9.0/10)

Who Is the Company Behind Cortex Certifai?

  • Seller: Cognitivescale
  • Year Founded: 2013
  • HQ Location: Austin, US
  • Twitter: @CognitiveScale
    3,816 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    28 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 60% Small, 20% Large

What Are Recent G2 Reviews of Cortex Certifai?

Fiddler AI

Fiddler is the AI Control Plane, the system of trust, for first-party and third-party agents from the creation layer to production. Continuous evaluation, reliable monitoring, enforceable policy, and auditable governance give enterprises the centralized controls and actionable insights to scale AI with trust. Integral to the platform are the secure Fiddler Centor Models, which power the industry’s fastest guardrails and evaluations that require low latency and cost-effectiveness or complex reasoning with accuracy. Compared to external LLMs, Fiddler Centor Models offer a low TCO with no hidden costs. Fortune 100 organizations use Fiddler to deliver high performance agentic and predictive applications, protect from costly risks, and maximize ROI. For more information, visit www.fiddler.ai or follow us on X @fiddler_ai

Average Rating: 4.4/5.0

Total Reviews: 4

How Do G2 Users Rate Fiddler AI?

  • Ease of Use: 7.8/10 (Category avg: 8.9/10)
  • Scalability: 10.0/10 (Category avg: 9.0/10)
  • Metrics: 10.0/10 (Category avg: 8.7/10)
  • Framework Flexibility: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Fiddler AI?

  • Seller: Fiddler
  • Year Founded: 2018
  • HQ Location: Palo Alto, US
  • LinkedIn® Page: linkedin.com
    117 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 75% Small, 25% Large

What Do G2 Reviewers Say About Fiddler AI?

AI-generated summary from verified user reviews

Pros
  • Users highlight Fiddler AI’s powerful monitoring capabilities, particularly for LLMs, making it a top choice for observability.
  • Users praise Fiddler AI for its easy integrations, enhancing the overall experience with seamless connectivity.
  • Users value Fiddler AI's powerful monitoring and model explanation features, finding its integrations particularly beneficial.
  • Users value Fiddler AI's powerful monitoring capabilities, especially for LLMs and its excellent model explanation feature.
Cons
  • Users find Fiddler AI's interface difficult to learn, especially for those new to AI and monitoring concepts.
  • Users find the lack of guidance in Fiddler AI challenging, especially for newcomers to AI and AIOps.
  • Users find the learning curve steep for those unfamiliar with AI and AIOps, hindering effective usage.
  • Users find the steep learning curve challenging, especially those unfamiliar with AI and AIOps concepts.

What Are Recent G2 Reviews of Fiddler AI?

What Are G2 Users Discussing About Fiddler AI?

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Iguazio

Iguazio’s AI software enables enterprises to develop, deploy and manage AI applications, drastically shortening the time required to create real business value with AI. Using Iguazio, organizations can develop AI models at scale and in real time, deploy them anywhere (multi-cloud, on-prem or edge), and bring to life their most ambitious AI-driven strategies. Enterprises spanning a wide range of verticals use Iguazio to solve the complexities of MLOps and create business impact through a multitude of ML and Generative AI use cases such as chatbot automation, fraud prediction, real-time recommendation engines and predictive maintenance. Iguazio was acquired by McKinsey & Company in January of 2023 and is now a part of QuantumBlack, McKinsey's AI arm. Iguazio brings data science to life.

Average Rating: 4.8/5.0

Total Reviews: 4

How Do G2 Users Rate Iguazio?

  • Ease of Use: 7.9/10 (Category avg: 8.9/10)
  • Scalability: 8.8/10 (Category avg: 9.0/10)
  • Metrics: 8.3/10 (Category avg: 8.7/10)
  • Framework Flexibility: 9.2/10 (Category avg: 8.7/10)

Who Is the Company Behind Iguazio?

  • Seller: Iguazio
  • Year Founded: 2014
  • HQ Location: Herzliya, IL
  • Twitter: @iguazio
    929 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    74 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 25% Large

What Do G2 Reviewers Say About Iguazio?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the production-ready AI capabilities of Iguazio, streamlining the ML lifecycle for quick deployments.
  • Users appreciate the production-ready AI integration of Iguazio, simplifying the ML lifecycle with a seamless platform.
  • Users value the automation capabilities of Iguazio, streamlining the ML lifecycle for efficient production-ready AI deployment.
  • Users value the customization options in Iguazio, enhancing their ML workflows and ensuring seamless deployment for production-ready AI.
  • Users value the deployment ease of Iguazio, streamlining the ML lifecycle and enabling rapid production readiness.
Cons
  • Users find Iguazio’s complexity challenging as it is not beginner-friendly and has unclear pricing structures.
  • Users find Iguazio's lack of transparent pricing makes it difficult to understand the overall costs involved.
  • Users find Iguazio lacking features such as beginner-friendly support and clear pricing information.
  • Users find Iguazio's lack of guidance challenging, especially for beginners navigating its complexity.
  • Users find Iguazio's learning curve steep, making it challenging for beginners to navigate effectively.

What Are Recent G2 Reviews of Iguazio?

What Are G2 Users Discussing About Iguazio?

Veritone Automate Studio

Veritone Automate Studio helps radio and tv broadcasters deploy and integrate AI workflows and automate processes to review content for key pieces of information, so they can focus on how to leverage that information to improve business outcomes. Transform audio, video, text and data content into actionable intelligence, at scale, with no AI expertise. Manually locating information trapped in text, images, video, audio or data is costly and can cause delays, impact customer experience, and risk compliance. Automate Studio makes AI accessible and easy to integrate with a user’s current workflow.

Average Rating: 4.1/5.0

Total Reviews: 5

How Do G2 Users Rate Veritone Automate Studio?

  • Ease of Use: 9.2/10 (Category avg: 8.9/10)
  • Scalability: 6.7/10 (Category avg: 9.0/10)
  • Metrics: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind Veritone Automate Studio?

  • Seller: Veritone Inc.
  • Year Founded: 2014
  • HQ Location: Denver, US
  • Twitter: @veritoneinc
    4,508 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    409 employees on LinkedIn®
  • Ownership: NASDAQ: VERI

Who Uses This Product?

  • Company Size: 80% Large, 20% Medium

What Are Recent G2 Reviews of Veritone Automate Studio?

What Are G2 Users Discussing About Veritone Automate Studio?

Deeploy

Take control of AI with Deeploy Limiting AI governance to documentation leaves your organisation exposed. The real risks surface in production, when decisions go unchecked and there's no complete picture of which models, applications, and agents are actually running. Deeploy adds the governance infrastructure your AI stack has been missing. It lets you discover, onboard, and monitor any AI system or agent at runtime, so you stay compliant and in control as you scale. Whether your models are hosted externally, embedded in third-party tools, or still in development, Deeploy brings them into one unified platform. From a single system you can monitor, explain, and enforce controls across every AI use case, team, and environment - no migration required. What Deeploy gives you: - Complete visibility across your AI landscape: Connect any MLOps or GenAI platform and eliminate blind spots with automatic AI discovery, all from one central registry. - Compliance without the complexity: Use guided control frameworks (ISO 42001, NIST AI RMF, or your own custom ones), classify AI system risk in minutes, and establish clear approval and accountability processes. - Governance engineers actually follow: Turn frameworks into enforceable controls, with templates and auto-collected evidence that accelerate compliance and cut manual work. - Real-time monitoring: Get instant alerts for model drift and performance drops, catch anomalies before users do, and add tracing and guardrails to protect LLM outputs. - Agent governance: Automatically register every AI agent, trace its activity, and bring it under the same controls as the rest of your AI estate across Claude, Copilot Studio, GitHub Copilot, and other MCP-compatible platforms. Built for teams who need to move fast without compromising oversight: - C-level Leaders (CTOs & CDOs): Gain full visibility across a growing, increasingly complex AI stack. - Heads of Risk & Compliance: Get ahead of the AI Act with operational governance, not just paperwork. - CIOs & Enterprise Architects: Enable AI velocity while minimising operational risk. - ML & Data Science Leads: Deliver fast, stay compliant, and build stakeholder trust through explainability. https://deeploy.ai

Average Rating: 4.7/5.0

Total Reviews: 3

How Do G2 Users Rate Deeploy?

  • Ease of Use: 9.4/10 (Category avg: 8.9/10)
  • Scalability: 9.2/10 (Category avg: 9.0/10)
  • Metrics: 9.2/10 (Category avg: 8.7/10)
  • Framework Flexibility: 7.5/10 (Category avg: 8.7/10)

Who Is the Company Behind Deeploy?

  • Seller: Deeploy
  • Year Founded: 2020
  • HQ Location: Utrecht, NL
  • Twitter: @DeeployML
    15 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About Deeploy?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of AI model deployment with built-in explainability, governance, and smooth performance on Azure and AWS.
  • Users value the enhanced analytics of Deeploy, enabling better model management and performance monitoring.
  • Users appreciate the seamless deployment of AI models with essential governance and compliance tools across platforms.
  • Users appreciate the ease of deployment of Deeploy, benefiting from integrated explainability and compliance tools.
  • Users value the model management capabilities of Deeploy, enhancing productivity and performance monitoring for data science teams.
Cons
  • Users are concerned about the limited integrations currently available with Deeploy, affecting overall functionality.
  • Users find the documentation limited, which affects their ability to fully utilize Deeploy's features.

What Are Recent G2 Reviews of Deeploy?

NimbleBox.ai | MLOps for teams

Accelerating results of Data Science and ML teams Why NimbleBox - Easy experimentation - Simple API deployment - Automated workflows - Team management

Average Rating: 4.7/5.0

Total Reviews: 3

How Do G2 Users Rate NimbleBox.ai | MLOps for teams?

  • Ease of Use: 10.0/10 (Category avg: 8.9/10)
  • Metrics: 6.7/10 (Category avg: 8.7/10)
  • Framework Flexibility: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind NimbleBox.ai | MLOps for teams?

  • Seller: NimbleBox.ai
  • Year Founded: 2018
  • HQ Location: San Francisco, US
  • Twitter: @NimbleBoxAI
    448 Twitter followers
  • LinkedIn® Page: in.linkedin.com
    22 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of NimbleBox.ai | MLOps for teams?

Rapidminer SLC

Are SAS Language Programs Mission Critical for Your Business? Many organizations have developed SAS language programs over the years that are vital to their operations. IT and analytics managers are also under pressure to reduce costs and find alternatives for handling their SAS language requirements. Rapidminer SLC runs programs written with SAS language syntax without translation and without licensing other third-party products. Rapidminer SLC is built to handle high levels of throughput and reduces clients’ capital costs and operating expenses. Multi Language, Multi-Platform Solution Rapidminer SLC handles programs, workflows, and models that combine the SAS language and the SQL, Python, and R languages. Its built-in SAS language compiler runs SQL and SAS language code and utilizes Python and R compilers to run Python and R code and exchange Pandas and R data frames. Working on IBM mainframes and in the cloud, as well as on servers and workstations running a host of operating systems, Rapidminer SLC supports remote job submissions and can exchange data between mainframe, cloud, and on-premises installations. Feature-Rich SAS Language Support In addition, Rapidminer SLC doesn’t require any third-party middleware to process applications that contain the SAS language. Rapidminer SLC’s built-in SAS language compiler supports SAS language and macro syntax, and includes procedure support for statistics, time series analytics, operational research, machine learning, matrix manipulation, graphing, and output delivery. Additionally, users can use Rapidminer SLC in batch or standalone mode to execute programs and models or use it with Rapidminer Analytics Workbench, a GUI/IDE that provides both no-code (workflow) and code facilities to create, maintain, and execute programs and models and interactively explore their outputs.

Average Rating: 4.1/5.0

Total Reviews: 12

How Do G2 Users Rate Rapidminer SLC?

  • Ease of Use: 8.0/10 (Category avg: 8.9/10)

Who Is the Company Behind Rapidminer SLC?

Who Uses This Product?

  • Company Size: 75% Small, 17% Medium

What Do G2 Reviewers Say About Rapidminer SLC?

AI-generated summary from verified user reviews

Pros
  • Users laud the smooth big data handling of Altair SLC, transforming messy data into valuable insights effortlessly.
  • Users commend the responsive customer support of Altair SLC, offering quick resolutions to inquiries and issues.
  • Users enjoy the easy data import process of Altair SLC, transforming messy data into valuable insights effortlessly.
  • Users find the installation process for Altair SLC incredibly simple, allowing immediate access to its features.
  • Users find the familiar Eclipse SDE environment makes Altair SLC easy to use and navigate effortlessly.
Cons
  • Users struggle with the complexity of Altair SLC, finding it hard to narrow down relevant search results.
  • Users find the limited features of Altair SLC restrict functionality compared to full SAS software capabilities.
  • Users find the help resources inadequate, making it difficult to identify missing functionalities in Altair SLC.
  • Users struggle with the learning curve of Altair SLC, finding it hard to locate specific solutions online.
  • Users find the Altair SLC not user-friendly, struggling with complex search results and Python integration difficulties.

What Are Recent G2 Reviews of Rapidminer SLC?

Superb AI Suite

Superb AI provides the most advanced computer vision platform that makes data preparation, curation and model deployment faster and easier than ever before. Specializing in adaptable automation for labeling, curation and model diagnosis, our solutions help companies drastically reduce the time and cost of building and deploying computer vision models.

Average Rating: 4.7/5.0

Total Reviews: 6

How Do G2 Users Rate Superb AI Suite?

  • Ease of Use: 9.3/10 (Category avg: 8.9/10)
  • Scalability: 10.0/10 (Category avg: 9.0/10)
  • Metrics: 10.0/10 (Category avg: 8.7/10)
  • Framework Flexibility: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Superb AI Suite?

  • Seller: Superb AI, Inc
  • Year Founded: 2018
  • HQ Location: San Mateo , US
  • Twitter: @superb_hq
    419 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    57 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of Superb AI Suite?

Abzu

Abzu was born from a desire to challenge the fundamental assumptions of contemporary AI, believing that the future of AI lies in the more lifelike simulation of self-organizing systems. If it’s AI, it’s Abzu. Abzu’s pioneering machine learning technology is inspired by quantum mechanics and neural networks, resulting in a transparent and trustworthy AI. Easy-to-interpret models are trained in Abzu’s proprietary QLattice via an innovative process called Recombination Learning, resulting in explainable and shareable learnings. Abzu is an international group of specialists within High-Performance Computing, Computational Neuroscience, Deep Learning, Mathematics, Physics, and related fields. Abzu is a private entity owned by the founding team. Founded in January 2018, Abzu is an applied research startup with offices in Copenhagen, Denmark and Barcelona, Spain. The startup derives its name from Ancient Summerian, meaning “the source of the waters of wisdom”. Abzu has raised a total of €2.9M, and last closed a seed round in July 2019 for €1.75M.

Average Rating: 5.0/5.0

Total Reviews: 2

How Do G2 Users Rate Abzu?

  • Ease of Use: 8.3/10 (Category avg: 8.9/10)
  • Scalability: 8.3/10 (Category avg: 9.0/10)
  • Metrics: 8.3/10 (Category avg: 8.7/10)
  • Framework Flexibility: 5.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Abzu?

  • Seller: Abzu
  • Year Founded: 2018
  • HQ Location: Nordhavn, DK
  • LinkedIn® Page: www.linkedin.com
    18 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Large

What Are Recent G2 Reviews of Abzu?

What Are G2 Users Discussing About Abzu?

Bifrost

Bifrost is an enterprise AI gateway designed for extremely low-latency AI workloads and high-throughput model routing. The system introduces ~11µs overhead at 5k RPS on a t3.xlarge machine and was built from the ground up in Go to reliably handle large-scale traffic. It is trusted by multiple Fortune 500 companies across financial services, healthcare, technology, pharmaceuticals, and defense, running in production in their own infrastructure.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate Bifrost?

  • Ease of Use: 8.9/10 (Category avg: 8.9/10)
  • Scalability: 7.5/10 (Category avg: 9.0/10)
  • Metrics: 9.2/10 (Category avg: 8.7/10)
  • Framework Flexibility: 9.2/10 (Category avg: 8.7/10)

Who Is the Company Behind Bifrost?

  • Seller: Maxim AI
  • Year Founded: 2023
  • HQ Location: San Francisco, US
  • Twitter: @getMaximAI
    386 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 33% Large, 33% Medium

What Do G2 Reviewers Say About Bifrost?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Maxim AI, finding it simple to integrate and set up projects effectively.
  • Users appreciate the easy integrations of Maxim AI, facilitating seamless setup and optimized workflows effortlessly.
  • Users value the real-time alerting system of Maxim AI for enhancing safety and quickly resolving live issues.
  • Users value the annotation efficiency of Maxim AI, significantly streamlining dataset management and reducing manual tasks.
  • Users value the real-time monitoring of Maxim AI, enhancing safety and quality through quick alerts and debugging.
Cons
  • Users find the documentation lacking detail, which complicates understanding and using Maxim AI effectively.

What Are Recent G2 Reviews of Bifrost?

Hopsworks

Hopsworks is a collaborative ML platform with highest performance Feature Store for batch and real-time data. Built around the industry's most advanced and modular feature store that provides seamless integration for existing pipelines and helps bring models to production faster. What and why? A feature store is a platform for managing features when building and deploying machine learning models. A Feature Store, like Hopsworks, is used for faster iteration and faster deployment of models to production. It is beneficial for scaling and moving real-time machine learning use cases with more ease as well as increasing productivity for data and AI teams. Integration As an open and modular platform, Hopsworks integrates with all major tools in the Data Science ecosystem and can be deployed on all cloud platforms as a managed solution. Hopsworks is a Python-Centric platform, your existing python code and pipeline can be seamlessly used with Hopsworks and on our enterprise solution you can install your own libraries or any framework you wish and work on a local jupyter environment.

Average Rating: 4.3/5.0

Total Reviews: 2

How Do G2 Users Rate Hopsworks?

  • Ease of Use: 8.3/10 (Category avg: 8.9/10)
  • Scalability: 10.0/10 (Category avg: 9.0/10)
  • Metrics: 6.7/10 (Category avg: 8.7/10)
  • Framework Flexibility: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind Hopsworks?

  • Seller: Hopsworks
  • Year Founded: 2018
  • HQ Location: Stockholm, SE
  • Twitter: @hopsworks
    1,434 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small, 50% Medium

What Are Recent G2 Reviews of Hopsworks?

What Are G2 Users Discussing About Hopsworks?

Netra

Netra is an end-to-end AI observability, evaluation, simulation and security testing platform that gives engineering teams complete visibility into every decision their AI agents make, from development through production. It is purpose-built for multi-step, multi-agent, and multi-tool workflows where traditional APM and LLM monitoring tools fall short. The platform is organized around four core capabilities. Observability delivers full-fidelity tracing across every LLM call, tool invocation, reasoning step, and retrieval, with real-time cost, latency, and error tracking. Evaluation enables teams to score agent quality automatically on every decision using built-in rubrics, custom LLM-as-judge evaluators, and code evaluators, with online evals running continuously on live traffic. Simulation lets teams stress-test agents against thousands of real and synthetic scenarios before production, using diverse personas and A/B comparisons against a baseline. Prompt Management provides a centralized workspace where every prompt is versioned, lineage-tracked, and rollback-safe, with every production response traceable back to its exact prompt version. Netra is built on OpenTelemetry, making it compatible with any OTLP-compliant backend and ensuring teams can get started with just 2 to 3 lines of code. It integrates with 14+ LLM providers including OpenAI, Anthropic, Google Gemini, and AWS Bedrock, and 12+ AI frameworks including LangChain, LangGraph, CrewAI, and LlamaIndex. The platform is SOC2 Type II certified and compliant with GDPR and HIPAA, with strict US and EU data residency and zero cross-region data sharing. Enterprise teams get on-premise deployment, isolated databases, and SSO. Available on a Free plan with no credit card required, a Pro plan at $39 per month, and custom Enterprise pricing.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate Netra?

  • Ease of Use: 10.0/10 (Category avg: 8.9/10)
  • Metrics: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Netra?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Netra?

Picsellia

Picsellia provides an entire AI development stack optimized for images: it covers every step needed to deploy a Computer vision model in production. Users can structure, operate, and improve their AI models directly on the platform. >>> Our Mission <<< We strive to help technical teams to upgrade their CV models into CV pipelines by providing a complete MLOps platform crafted exclusively for Computer Vision projects. Our philosophy is to constantly improve our product to fulfil our customers’ needs. >>> Picsellia's Key Features <<< - Data Management Store, search, filter, and annotate your data in one single place. Picsellia’s centralized and intuitive labeling inter-face lets your teams annotate simultaneously. - Experiment Tracking Track and compare your experiments and find your best-performing model. Once that's done, Picsellia will help you find the best hyperparameter combination to optimize your model performance. - Processings Perform tasks such as Data Augmentation directly on the platform. Automate your processes and launch them at the time you want and on the data you want. - Model Deployment Deploy your models in production in just one minute, with or without a server. You will have a scalable and serverless API endpoint! - Model Monitoring Monitor your model performance in real-time. Identify and fix potential failure cases, before your clients experience them. Set up alerts. - Automated Pipelines Turn your CV lifecycle into a workflow. Directly visualize and review your predictions to improve your training data and boost your models' efficiency. >>> It follows your business' needs <<< Picsellia is designed to be as extensible as it can be, our customers are not stuck with our products as we provide an open environment. It promotes collaboration, reduces failure rates, and scales with your business.

Average Rating: 4.0/5.0

Total Reviews: 2

How Do G2 Users Rate Picsellia?

  • Ease of Use: 5.0/10 (Category avg: 8.9/10)
  • Metrics: 3.3/10 (Category avg: 8.7/10)
  • Framework Flexibility: 3.3/10 (Category avg: 8.7/10)

Who Is the Company Behind Picsellia?

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of Picsellia?

Segments.ai

Multi-sensor labeling platform for robotics and autonomous driving. Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vector labels, and more via the intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Image Segmentation - Semantic segmentation - Instance segmentation - Panoptic segmentation - ML-powered labeling tools: DeepPixels and Autosegment Image Vector Labeling - Bounding boxes - Polygons - Polylines - Keypoints Point Cloud Segmentation - Semantic segmentation - Instance segmentation - Panoptic segmentation Point Cloud Vector Labeling - Cuboids / 3D bounding boxes - Keypoints - Polygons and polylines Video labeling - Label sequences of data fast with interpolation and ML assistance. - Label merged 3D point clouds of unlimited size. - Label 3D sequences faster with batch mode and merged point cloud view. Sensor fusion: visualize and label multiple modalities in the same interface Build your clever annotation workflow exactly how you want, with the flexibility you need to get the job done quickly and efficiently. Segments.ai is a self-serve platform with dedicated support from our core team of engineers when you need it. - A Python SDK that finally makes sense - Documentation to make the setup feel like a breeze - Self-serve with support only when you are stuck, so we don't slow you down - Automatically trigger actions using webhooks - Connect your cloud provider (AWS, Google Cloud, Azure) - Export to popular ML frameworks (PyTorch, TensorFlow, Hugging Face 🤗) Onboard your workforce or use one of our workforce partners. Our management tools make it easy to label and review large datasets together. Get started with a free trial today at https://segments.ai/join

Average Rating: 4.6/5.0

Total Reviews: 22

How Do G2 Users Rate Segments.ai?

  • Ease of Use: 8.6/10 (Category avg: 8.9/10)

Who Is the Company Behind Segments.ai?

  • Seller: Segments.ai
  • Year Founded: 2020
  • HQ Location: Leuven, Vlaams-Brabant, Belgium
  • Twitter: @SegmentsAI
    483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    9 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Research, Computer Software
  • Company Size: 95% Small, 5% Medium

What Do G2 Reviewers Say About Segments.ai?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use and efficiency in creating organized annotated datasets with Segments.ai.
  • Users praise the efficiency in multi-sensor data labeling offered by Segments.ai for seamless automation processes.
  • Users commend the efficiency of Segments.ai, making dataset organization and label management significantly quicker and easier.
  • Users appreciate the time-saving capabilities of Segments.ai, streamlining the process of creating organized annotated datasets.
  • Users appreciate the annotation efficiency of Segments.ai, finding it faster and easier than other tools.
Cons
  • Users find a difficult learning curve when mastering the complex interface and tools for multi-sensor data annotation.
  • Users find that the learning curve for annotating complex, multi-sensor data can be challenging to master.
  • Users find occasional annotation issues due to the need for extra configuration and more automation options.
  • Users note a lack of features, wishing for more options and configuration for advanced functionalities and automations.
  • Users note a lack of tools for advanced features and automations, limiting the full potential of Segments.ai.

What Are Recent G2 Reviews of Segments.ai?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 9, 2026