4 models across 1 family · Latest: NSQL 6B (2024-02)
AI-driven conversational analytics innovation
NumbersStation's portfolio covers 4 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, 4 active tracked models, latest research stamp 2026-05-19.
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- Teams evaluating general LLM work across this lab's releases
- Readers comparing families before locking a flagship SKU
- 4 tracked SKUs for migration and pricing follow-ups
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Active models
4
Non-deprecated SKUs linked to this researcher
Active families
1
Non-obsolete families in coverage
Open catalog
0 OSS
0 open-weight (text match)
Decision task tags
0
Need benchmarks or capability flags
Latest dated release
2024-02-15
NSQL 6B
Freshness
2026-05-19
Researched 16d ago
Release cadence
Showing 4 recent dated ships (full timeline below). Latest spotlight: NSQL 6B (2024-02-15).
Where this lab wins
Task positioning unavailable until capability tags or benchmarks populate for active SKUs.
Flagship quality / price signal
Anchor SKU: NSQL 6B (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).
NumbersStation is an American AI research organization founded in 2021. AI-driven conversational analytics innovation. NumbersStation ships 1 model family totaling 4 models, with the most recent release NSQL 6B in 2024-02. Notable families include NSQL. 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, links, release. View official API endpoints, benchmark performance, and coding/agent fit for every NumbersStation model.
About
Numbers Station, established in 2021 in Austin, Texas, is an AI research company with a core mission to revolutionize data interactions through the democratization of machine learning 45. They aim to build an AI-powered data stack centered on user needs, leveraging their wealth of expertise in machine learning to unlock powerful data insights across various industries 1. Particularly notable is their focus on integrating generative AI and large language models (LLMs) into data analytics, creating a seamless user experience without the necessity of technical proficiency in SQL or other conventional data languages. Numbers Station's innovation lies in its multi-agent architecture. This paradigm involves a collection of specialized AI agents that collaborate to automate comprehensive data workflows — encompassing stages from initial data planning and visualization to executing subsequent analytical actions 1. They enhance user engagement through a conversational analytics interface, empowering users to interact with data in natural language 23. By tailoring open-source LLMs for specific enterprise tasks, Numbers Station addresses common deficits found in third-party LLMs, such as accuracy issues, brittleness, and insufficient personalization 2. In addressing data privacy concerns, Numbers Station’s commitment to open-source models enables enterprises to maintain control over their data by self-hosting solutions in secure environments 2. Their research incorporates a highly curated semantic catalog integrated with retrieval-augmented generation (RAG), which infuses enterprise-specific knowledge into the LLMs, ensuring that insights are grounded in the organization's data and rules 2. This dedication to advancing AI and LLMs has led to the development of cutting-edge tools such as the "Ask Me Anything" prompting method, enhancing the performance of open-source LLMs, and a personalizing framework for SQL coding assistance that outperforms even GPT-4 3. Additionally, Numbers Station offers various solutions for data cleaning, profiling, and guardrails, providing substantial aid across finance, retail, telecommunications, and healthcare sectors 1. These innovations, alongside the company's commitment to research and development, set Numbers Station apart as a significant influencer in AI-driven data automation.
Featured models
Model families
Recent releases
- NSQL 6B- 2024-02-15
- NSQL 2B- 2024-02-15
- NSQL 350M- 2024-02-15
- NSQL Llama 2 7B- 2024-02-15
FAQ
Who founded NumbersStation and when?
NumbersStation was founded in 2021 and is associated with Austin, Texas, United States.
What models has NumbersStation released?
NumbersStation ships 4 models across 1 family: NSQL.
Is NumbersStation's technology open source?
LLMReference does not yet have enough model license data to classify NumbersStation's releases.
Where is NumbersStation headquartered?
NumbersStation is headquartered in Austin, Texas, United States.
What is NumbersStation known for?
AI-driven conversational analytics innovation. Its most prominent tracked family is NSQL.
How can I access NumbersStation's models?
NumbersStation's models are available via Baseten API.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.