AI Models & Platforms

OD

OpenAI Developers

4.4/5.01 verified review

Contact Sales·Open Source·MIT

Official documentation portal and resource hub for OpenAI API integration.

• Detailed and regularly updated technical documentation on models and deprecations.
• Standardized endpoints for integrating language models and multimodal AI.
• Formal email notifications and documentation logs for version sunsets and changes.

77.0kstars on GitHub

LA

Liquid AI

4.4/5.01 verified review

Freemium

Open-weight multimodal foundation models engineered for specialized intelligence on any device.

• Open-weight models optimized for local execution and resource-constrained edge devices.
• Native multimodal hybrid architecture combining text, vision, audio, and decision models.
• Massive pre-training on 22 trillion tokens delivering high task specialization capabilities.

PA

Paddock

4.4/5.01 verified review

Free·Open Source·MIT

Linux environments and isolated sandboxes on your own VPS for artificial intelligence agents.

• Open source MIT license with zero software licensing costs.
• Complete isolation and persistence of files and desktops for each agent.
• Granular network control via allowlists and connection blocking.

7stars on GitHub

KA

Kaggle

4.4/5.01 verified review

Free

Global community and machine learning platform for data science and artificial intelligence.

• Vast public repository of datasets and runnable notebooks.
• Integrated web development environment with free GPU support.
• Active gamification with performance-based technical rankings.

DI

Digits

4.4/5.01 verified review

Paid·$75/mo

AI-native accounting software with 24/7 automated bookkeeping and real-time financials.

• Advanced transaction automation via AI agents.
• Real-time financial statement updates.
• Modern interface optimized for accounting workflows.

RE

Replicate

4.4/5.01 verified review

Paid·Open Source·Apache-2.0

Run and fine-tune open-source machine learning models via cloud API.

• Immediate access to a vast library of production-ready open-source models.
• Simplified deployment of custom models using a unified API.
• Effective fine-tuning capabilities for domain-specific tasks.

597stars on GitHub

H2

H2O.ai

4.4/5.01 verified review

Contact Sales

Sovereign AI platform to run predictive, generative, and agentic AI models.

• Supports deployments on proprietary infrastructure including fully air-gapped environments.
• Integrated orchestration combining predictive AI, generative models, agents, and observability.
• Validated regulatory compliance for heavily regulated industries with strict certifications.

DO

Domino

4.4/5.01 verified review

Contact Sales

Enterprise AI platform to build, scale, and govern models at scale

• Centralized governance and visibility for production AI models.
• Scalable infrastructure designed for heavily regulated industries.
• Advanced collaboration for code-first data science teams.

DA

Dataiku

4.4/5.01 verified review

Contact Sales

Centralized platform for analytics, machine learning models, and AI agent governance.

• Unified orchestration for analytical models and AI agents.
• Compatibility with multiple cloud infrastructures and LLM providers.
• Hybrid collaborative environment for technical and business profiles.

MM

Meta Model API

4.3/5.01 verified review

Contact Sales

API to access Meta multimodal and reasoning models designed for agentic workflows.

• Native multimodal support for text, images, audio, and video at scale.
• Lightweight models optimized for frequent execution and tool calls.
• Detailed technical documentation and official code cookbooks.

59.6kstars on GitHub

LI

Linum

4.3/5.01 verified review

Free·Open Source·Apache-2.0

Open-source text-to-image and video generative models trained from scratch by an independent research lab.

• Open-source model weights under the Apache 2.0 license.
• High computational efficiency with training runs around 21K USD.
• Transparent focus on open generative video and image research.

KI

Kilasec

4.3/5.01 verified review

Paid

Guardrails and spend control for AI agents and tools.

• Deployment without modifying source code or integrating SDKs into agents.
• Spend control and budget caps per device and collector.
• Traffic inspection and masking of secrets and PII before leaving the network.