Related Products
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About
Fireworks partners with the world's leading generative AI researchers to serve the best models, at the fastest speeds. Independently benchmarked to have the top speed of all inference providers. Use powerful models curated by Fireworks or our in-house trained multi-modal and function-calling models. Fireworks is the 2nd most used open-source model provider and also generates over 1M images/day. Our OpenAI-compatible API makes it easy to start building with Fireworks. Get dedicated deployments for your models to ensure uptime and speed. Fireworks is proudly compliant with HIPAA and SOC2 and offers secure VPC and VPN connectivity. Meet your needs with data privacy - own your data and your models. Serverless models are hosted by Fireworks, there's no need to configure hardware or deploy models. Fireworks.ai is a lightning-fast inference platform that helps you serve generative AI models.
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About
Overmind is a model training and deployment platform for teams building AI agents. It ingests production traces through OpenTelemetry and creates datasets from trace data, file uploads, and connectors for Langfuse, LangSmith, Braintrust, and Galileo. Teams can inspect agent context and runtime behavior, prepare and score datasets, evaluate prompts and models against their own examples, and optimize agent behavior through scored changes. The platform supports LoRA and full fine-tuning of open-weight models, benchmarking with configured evaluators, and deployment through an OpenAI-compatible endpoint; trained weights can also be downloaded. Users can work in the hosted console or run the platform on their own infrastructure with Docker Compose. It is designed for AI engineering and product teams operating agents in production that want to test, improve, or specialize models using their own data.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers in search of a production AI platform to manage generative AI models
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Audience
AI product teams and ML engineers running LLM agents in production who want a cheaper specialised model they own
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.20 per 1M tokens
Free Version
Supported
Free Trial
Not Supported
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Pricing
Free
Free plan: $0/month, with fair-use OTLP ingest, up to 10 optimization runs, 5 evaluation runs, 2 training jobs, and 2 deployment jobs per month, plus 5 projects and a $40 one-time credit. Pro: $120/month with higher limits, unlimited projects, optimization runs, evaluation runs, training jobs, and deployment jobs. Enterprise pricing is custom.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
|
Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationFireworks AI
fireworks.ai/
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Company InformationOvermind
Founded: 2025
United Kingdom
www.overmindlab.ai
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Alternatives |
AlternativesNo Alternatives
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Categories |
Categories |
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Integrations
APIPark
Supported
Claude Code
Not Supported
Cursor
Not Supported
E2B
Supported
Fireworks
Supported
Inworld TTS
Supported
Kimi K2.6
Supported
Kimi K2.7 Code
Supported
Kimi K3
Supported
LangSmith
Not Supported
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Integrations
APIPark
Not Supported
Claude Code
Supported
Cursor
Supported
E2B
Not Supported
Fireworks
Not Supported
Inworld TTS
Not Supported
Kimi K2.6
Not Supported
Kimi K2.7 Code
Not Supported
Kimi K3
Not Supported
LangSmith
Supported
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