Defog.ai
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 current family, spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 0 workload areas across 7 active tracked models; last verified 2026-05-22.
Use it for
- Teams evaluating general LLM work across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 7 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
7
Current models from this lab, excluding deprecated ones
Active families
1
Current model families from this lab
Open catalog
7 open
0 open source / 7 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
2024-05-09
Llama 3 SQLCoder 8B
Freshness
2026-05-22
Researched 57d ago
Information
Release cadence
Showing 5 recent dated releases (full timeline below). Latest: Llama 3 SQLCoder 8B (2024-05-09).
Where this lab wins
Not enough capability or benchmark coverage yet to call strengths for this lab.
Flagship quality / price signal
Flagship: SQLCoder (best sourced coding quality-per-dollar in this portfolio).
Quality-per-dollar unavailable for this flagship — benchmark coverage or output token pricing is still missing.
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 $2.2 million in seed funding led by Script Capital and Y Combinator, proving the market's recognition of their technology's potential. Their solutions are already in use across diverse sectors like healthcare, finance, and SaaS, with real-world impacts evident, such as a publicly listed US company experiencing an 80% reduction in analysis time thanks to Defog.ai's implementations. This rapid recognition and adoption speak volumes about Defog.ai's pivotal role in advancing generative AI and large language model applications in enterprise settings.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Llama 3 SQLCoder 8B | 2024-05-09 | 8k | - | - | CC-BY-SA-4.0 | Open weights |
| SQLCoder 7B 2 | 2024-02-05 | 32k | - | - | CC-BY-SA-4.0 | Open weights |
| SQLCoder 70B Alpha | 2024-01-31 | 16k | - | - | CC-BY-SA-4.0 | Open weights |
Model families
Recent releases
- Llama 3 SQLCoder 8B- 2024-05-09
- SQLCoder 7B 2- 2024-02-05
- SQLCoder 70B Alpha- 2024-01-31
- SQLCoder 34B Alpha- 2023-11-14
- 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?
All tracked models are released under Open Weights.
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.