LLM Reference
Defog.ai

Defog.ai

Researched 13d ago
Flagship Q/$
Quality
$/M out

7 models across 1 family · Latest: Llama 3 SQLCoder 8B (2024-05)

AI data analysis solutions

Defog.ai's portfolio covers 7 active models across 1 non-obsolete family, with task labels spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.

Portfolio context: 0 decision-task tags, 7 active tracked models, latest research stamp 2026-05-22.

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  • Teams evaluating general LLM work across this lab's releases
  • Readers comparing families before locking a flagship SKU
  • 7 tracked SKUs for migration and pricing follow-ups

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Active models

7

Non-deprecated SKUs linked to this researcher

Active families

1

Non-obsolete families in coverage

Open catalog

1 OSS

0 open-weight (text match)

Decision task tags

0

Need benchmarks or capability flags

Latest dated release

2024-05-09

Llama 3 SQLCoder 8B

Freshness

2026-05-22

Researched 13d ago

fresh

Release cadence

Showing 5 recent dated ships (full timeline below). Latest spotlight: Llama 3 SQLCoder 8B (2024-05-09).

Where this lab wins

Task positioning unavailable until capability tags or benchmarks populate for active SKUs.

Flagship quality / price signal

Anchor SKU: SQLCoder (best sourced coding Q/$ in this portfolio).

Quality / dollar unavailable for this anchor — missing benchmark coverage and/or output token price on the cheapest ladder route (open the model detail after pricing lands).

Defog.ai is a Singaporean AI research organization founded in 2023. AI data analysis solutions. Defog.ai ships 1 model family totaling 7 models, with the most recent release Llama 3 SQLCoder 8B in 2024-05. Notable families include SQLCoder. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can scan counts. View official API endpoints, benchmark performance, and coding/agent fit for every Defog.ai model.

About

Defog.ai, founded in 2023 by Medha Basu and Rishabh Srivastava in Singapore, is revolutionizing the enterprise data analysis landscape by developing fine-tuned large language models (LLMs). This company focuses on creating models specifically tailored to meet business needs, primarily in data querying and visualization. Unlike general-purpose models like GPT-4, their specialized approach results in significantly enhanced accuracy and efficiency, particularly demonstrated in tasks such as text-to-SQL conversion. A standout innovation from Defog.ai is SQLCoder, an open-source LLM family designed to translate natural language questions into SQL queries. These models have quickly gained traction, outperforming others in the text-to-SQL generation field, as evidenced by over 50,000 downloads on Hugging Face and 1,800 stars on GitHub. The open-source nature not only facilitates widespread adoption but also supports community-driven improvements, fostering user trust through transparency. Additionally, Defog.ai offers other targeted models, such as MedSQL and MoneySQL, which cater to specific industries like healthcare and finance. This strategic development of specialized models allows the company to address unique industry challenges, going beyond simple data querying to enable more complex analyses, including hypothesis exploration and report generation. The company's significant achievements include securing $2.2 million in seed funding led by Script Capital and Y Combinator, proving the market's recognition of their technology's potential. Their solutions are already in use across diverse sectors like healthcare, finance, and SaaS, with real-world impacts evident, such as a publicly listed US company experiencing an 80% reduction in analysis time thanks to Defog.ai's implementations. This rapid recognition and adoption speak volumes about Defog.ai's pivotal role in advancing generative AI and large language model applications in enterprise settings.

Featured models

ModelReleasedContextInput price ($/1M)Output price ($/1M)License
Llama 3 SQLCoder 8B2024-05-098k--CC-BY-SA-4.0
SQLCoder 7B 22024-02-0532k--CC-BY-SA-4.0
SQLCoder 70B Alpha2024-01-3116k--CC-BY-SA-4.0

Model families

Recent releases

  1. Llama 3 SQLCoder 8B- 2024-05-09
  2. SQLCoder 7B 2- 2024-02-05
  3. SQLCoder 70B Alpha- 2024-01-31
  4. SQLCoder 34B Alpha- 2023-11-14
  5. SQLCoder 7B- 2023-10-03

FAQ

Who founded Defog.ai and when?

Defog.ai was founded in 2023 and is associated with Singapore, Singapore.

What models has Defog.ai released?

Defog.ai ships 7 models across 1 family: SQLCoder.

Is Defog.ai's technology open source?

Some Defog.ai models are open-weight (Llama 3 SQLCoder 8B); others are proprietary (SQLCoder 2).

Where is Defog.ai headquartered?

Defog.ai is headquartered in Singapore, Singapore.

What is Defog.ai known for?

AI data analysis solutions. Its most prominent tracked family is SQLCoder.

How can I access Defog.ai's models?

Defog.ai's models are available via Cloudflare Workers AI.

Explore related pages

Last reviewed: 2026-05-22. Data sourced from public lab announcements and provider documentation.