Fireworks AI

Fireworks AI

AI inference platform for machine learning models

About Fireworks AI

Simplify's Rating
Why Fireworks AI is rated
B-
Rated C on Competitive Edge
Rated B on Growth Potential
Rated B on Rating Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

51-200

Company Stage

Series B

Total Funding

$77M

Headquarters

Redwood City, California

Founded

2022

Overview

Company Does Not Provide H1B Sponsorship

Fireworks AI provides a platform for running and customizing machine learning models, catering to tech companies, research institutions, and enterprises that want to incorporate AI into their operations. The platform allows users to deploy models, fine-tune them, and perform inference, making it easier for clients to utilize AI technology. Unlike many competitors, Fireworks AI offers a subscription-based service that includes access to open-source models and additional premium features, which helps clients manage costs effectively. The company's goal is to enhance AI adoption in production environments by developing advanced AI systems and expanding its capabilities, supported by recent funding to accelerate growth.

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Simplify's Take

What believers are saying

  • Recent $52M funding will accelerate development of compound AI systems and platform enhancements.
  • Growing interest in compound AI systems aligns with Fireworks AI's strategic direction.
  • API-based solutions increase accessibility, driving further adoption of Fireworks AI's platform.

What critics are saying

  • Deep Cogito's open-source models may reduce demand for Fireworks' subscription services.
  • DeepSeek R1's lower costs could pressure Fireworks AI to reduce prices.
  • Poe's monetization model may attract developers away from Fireworks AI's platform.

What makes Fireworks AI unique

  • Fireworks AI specializes in AI inference and model customization for diverse clients.
  • The platform offers subscription-based access to open-source models and fine-tuning services.
  • Fireworks AI's API supports rapid deployment and integration of generative AI capabilities.

Help us improve and share your feedback! Did you find this helpful?

Funding

Total Funding

$77M

Above

Industry Average

Funded Over

2 Rounds

Notable Investors:
Series B funding is typically for startups that have proven their business model and need more funding to expand rapidly—often by entering new markets or adding more products. Investors are usually venture capital firms that specialize in later-stage investments.
Series B Funding Comparison
Above Average

Industry standards

$35M
$45M
Linktree
$52M
Fireworks AI
$65M
Substack
$100M
ClickUp

Benefits

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-4%

2 year growth

-4%
VentureBeat
Apr 8th, 2025
New Open Source Ai Company Deep Cogito Releases First Models And They’Re Already Topping The Charts

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreDeep Cogito, a new AI research startup based in San Francisco, officially emerged from stealth today with Cogito v1, a new line of open source large language models (LLMs) fine-tuned from Meta’s Llama 3.2 and equipped with hybrid reasoning capabilities — the ability to answer quickly and immediately, or “self-reflect” like OpenAI’s “o” series and DeepSeek R1.The company aims to push the boundaries of AI beyond current human-overseer limitations by enabling models to iteratively refine and internalize their own improved reasoning strategies. It’s ultimately on a quest toward developing superintelligence — AI smarter than all humans in all domains — yet the company says that “All models we create will be open sourced.”Deep Cogito’s CEO and co-founder Drishan Arora — a former Senior Software Engineer at Google who says he led the large language model (LLM) modeling for Google’s generative search product —also said in a post on X they are “the strongest open models at their scale – including those from LLaMA, DeepSeek, and Qwen.”The initial model lineup includes five base sizes: 3 billion, 8 billion, 14 billion, 32 billion, and 70 billion parameters, available now on AI code sharing community Hugging Face, Ollama and through application programming interfaces (API) on Fireworks and Together AI.They’re available under the Llama licensing terms which allows for commercial usage — so third-party enterprises could put them to work in paid products — up to 700 million monthly users, at which point they need to obtain a paid license from Meta.The company plans to release even larger models — up to 671 billion parameters — in the coming months.Arora describes the company’s training approach, iterated distillation and amplification (IDA), as a novel alternative to traditional reinforcement learning from human feedback (RLHF) or teacher-model distillation.The core idea behind IDA is to allocate more compute for a model to generate improved solutions, then distill the improved reasoning process into the model’s own parameters — effectively creating a feedback loop for capability growth. Arora likens this approach to Google AlphaGo’s self-play strategy, applied to natural language.The Cogito models are open-source and available for download via Hugging Face and Ollama, or through APIs provided by Fireworks AI and Together AI. Each model supports both a standard mode for direct answers and a reasoning mode, where the model reflects internally before responding.Benchmarks and evaluationsThe company shared a broad set of evaluation results comparing Cogito models to open-source peers across general knowledge, mathematical reasoning, and multilingual tasks. Highlights include:Cogito 3B (Standard) outperforms LLaMA 3.2 3B on MMLU by 6.7 percentage points (65.4% vs

The Bridge
Jan 30th, 2025
Deepseek-R1は企業にとってなぜ朗報なのか——Aiアプリをより安価に、構築しやすく、より革新的に

画像クレジット: VentureBeat with Ideogram. DeepSeek-R1 推論モデルのリリースは、主要な AI 株の突然の大量売却に最も顕著に表れているように、テクノロジー業界に衝撃を与えた。DeepSeek がはるかに少ないコストで o1 の競合モデルを開発できたと報告されており、OpenAI や Anthropic のような潤沢な資金を持つ AI ラボの優位性はもはやそれほど確固たるものには見えない。. 一部の AI ラボは現在危機モードにあるが、企業セクターに関する限り、これはほとんど良いニュースである。

VentureBeat
Jan 27th, 2025
Deepseek-R1 Is A Boon For Enterprises — Making Ai Apps Cheaper, Easier To Build, And More Innovative

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. The release of the DeepSeek R1 reasoning model has caused shockwaves across the tech industry, with the most obvious sign being the sudden sell-off of major AI stocks. The advantage of well-funded AI labs such as OpenAI and Anthropic no longer seems very solid, as DeepSeek has reportedly been able to develop their o1 competitor at a fraction of the cost.While some AI labs are currently in crisis mode, as far as the enterprise sector is concerned, it’s mostly good news. Cheaper applications, more applicationsAs we had said here before, one of the trends worth watching in 2025 is the continued drop in the cost of using AI models. Enterprises should experiment and build prototypes with the latest AI models regardless of the price, knowing that the continued price reduction will enable them to eventually deploy their applications at scale. That trendline just saw a huge step change. OpenAI o1 costs $60 per million output tokens versus $2.19 per million for DeepSeek R1

Fireworks
Jul 12th, 2024
Fireworks AI Raises $52M Series B to Lead Industry Shift to Compound AI Systems

Fireworks AI raises $52M led by Sequoia, boosting its valuation to $552M. The funds will speed up the development of compound AI systems, team growth, and platform enhancements to increase AI adoption in production.

PYMNTS
Jul 11th, 2024
Fireworks AI Valued at $552 Million After New Funding Round

Fireworks' funding round - which included participation by Nvidia - is happening as tech firms continue to invest in the AI sector and in the technology itself.

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