Question: Can you recommend a data development platform that integrates with MLOps tools and supports secure data management and annotation?

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Encord

If you're looking for a data development platform that integrates with MLOps tools and supports secure data management and annotation, Encord is a great option. It offers a full-stack solution for building predictive and generative computer vision applications. Encord offers tools for data ingestion, cleaning, curation, automated labeling, and model performance evaluation. The platform integrates with a variety of storage and MLOps tools while adhering to high security standards, including SOC2, HIPAA and GDPR.

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Dataloop

Another top contender is Dataloop, which combines data curation, model management, pipeline orchestration and human feedback to speed up AI application development. Dataloop supports a variety of unstructured data types, including images, videos and text, and has strong security controls that meet GDPR, ISO 27001, ISO 27701 and SOC 2 Type II requirements. It improves collaboration and speeds up development, saving you a lot of time and delivering high-quality results.

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Appen

Appen also offers an end-to-end platform for AI applications, offering high-quality, diverse data with human feedback and collaboration. The platform supports a broad range of data types and customizable workflows and built-in quality control processes. Appen is a trusted partner for major brands and is designed for large-scale, reliable data collection, curation and fine-tuning for traditional machine learning and generative AI applications.

Additional AI Projects

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MLflow

Manage the full lifecycle of ML projects, from experimentation to production, with a single environment for tracking, visualizing, and deploying models.

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Label Studio

Flexible data labeling tool for various data types, including images, audio, and text, with customizable layouts, ML-assisted labeling, and cloud storage integration.

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SuperAnnotate

Streamlines dataset creation, curation, and model evaluation, enabling users to build, fine-tune, and deploy high-performing AI models faster and more accurately.

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Dataiku

Systemize data use for exceptional business results with a range of features supporting Generative AI, data preparation, machine learning, MLOps, collaboration, and governance.

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Roboflow

Automate end-to-end computer vision development with AI-assisted annotation tools, scalable deployment options, and access to 50,000+ pre-trained open source models.

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V7

Automates machine learning development tasks, including image and video labeling, to accelerate product delivery and reduce labeling costs by up to 80%.

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Clarifai

Rapidly develop, deploy, and operate AI projects at scale with automated workflows, standardized development, and built-in security and access controls.

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Parea

Confidently deploy large language model applications to production with experiment tracking, observability, and human annotation tools.

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HoneyHive

Collaborative LLMOps environment for testing, evaluating, and deploying GenAI applications, with features for observability, dataset management, and prompt optimization.

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Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.

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DataRobot AI Platform

Centralize and govern AI workflows, deploy at scale, and maximize business value with enterprise monitoring and control.

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Credal

Build secure AI applications with point-and-click integrations, pre-built data connectors, and robust access controls, ensuring compliance and preventing data leakage.

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Collibra

Automate data discovery, governance, and quality control to increase productivity, reduce risk, and unlock business value from trusted data.

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Varonis

Continuously discovers and classifies critical data, removes exposures, and stops threats in real-time using AI-powered automation.

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LandingLens

Unlock insights from unlabeled images, achieve accurate results, and deploy computer vision models flexibly and scalably across industries.

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Gretel Navigator

Generates realistic tabular data from scratch, edits, and augments existing datasets, improving data quality and security for AI training and testing.

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LastMile AI

Streamline generative AI application development with automated evaluators, debuggers, and expert support, enabling confident productionization and optimal performance.

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Predibase

Fine-tune and serve large language models efficiently and cost-effectively, with features like quantization, low-rank adaptation, and memory-efficient distributed training.

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Secoda

Unifies data catalog, lineage, governance, and monitoring, with AI-powered search, automated workflows, and contextual answers to complex data questions.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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Scale

Provides high-quality, cost-effective training data for AI models, improving performance and reliability across various industries and applications.