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Average Ratings 0 Ratings
Description
Anthroly serves as a specialized data laboratory and provider of expert data tailored for pioneering AI laboratories and modeling teams. The company acquires operational data from American enterprises—including workplace communications, emails, support inquiries, customer relationship management histories, phone calls, software code, engineering documentation, and various other records—and processes this information into de-identified datasets, reinforcement learning frameworks, agent pathways, supervised fine-tuning materials, and assessment tools. Additionally, Anthroly engages in the recruitment and evaluation of professionals such as engineers, scientists, medical experts, and specialists in Indic languages to develop expert-crafted tasks, benchmarks, model outputs, and evaluation metrics. Their projects often encompass bespoke sourcing, expert analysis, grading rubrics, automated assessment tools, and comprehensive quality evaluations. Anthroly emphasizes that its model involves licensing data with identifiers removed prior to transfer, ensuring that data usage remains within the limits set by contractual agreements. The initiation of expert-data projects can commence with a pilot phase lasting one to two weeks, while the pricing for licensing and project scopes is customized to meet individual client needs. This tailored approach allows for flexibility and precision, making it easier for clients to access the expertise they require.
Description
Laguna XS.2 represents Poolside’s innovative open-weight coding model, distinguished as the lightest and quickest member of the Laguna series. This model features a total of 33 billion parameters in a Mixture of Experts setup, with 3 billion parameters activated, and has been meticulously trained in-house using 30 trillion tokens. As the latest generation model accessible to the public, it embodies a second-generation architecture and marks Poolside’s inaugural open-weight offering, drawing from insights gained during the training of Laguna M.1 with synthetic data and reinforcement learning techniques. Specifically designed to enhance agentic coding workflows, Laguna XS.2 excels in coding, acting, and rapidly iterating, particularly within Poolside’s coding agent environment. This model is particularly advantageous for developers and teams seeking a lightweight, efficient coding solution rather than a more cumbersome frontier system. Released under the permissive Apache 2.0 license, it empowers the community to assess, fine-tune, quantize, and build upon its weights, fostering a collaborative development atmosphere. In essence, Laguna XS.2 not only provides a robust platform for agentic coding but also encourages innovation and experimentation among its users.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Agent Client Protocol (ACP)
No
Claude Code
No
Cline
No
Hermes Agent
No
Hugging Face
No
IntelliJ IDEA
No
Kilo Code
No
Nous Portal
No
Ollama
No
OpenAI Codex
No
Integrations
Agent Client Protocol (ACP)
Yes
Claude Code
Yes
Cline
Yes
Hermes Agent
Yes
Hugging Face
Yes
IntelliJ IDEA
Yes
Kilo Code
Yes
Nous Portal
Yes
Ollama
Yes
OpenAI Codex
Yes
Pricing Details
U.S. data suppliers pay no listing fee or commission. Licensed records are priced individually after a de-identified sample review. Expert-data work can begin with a free or low-cost 1–2 week pilot.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Anthroly
Website
www.anthroly.com
Vendor Details
Company Name
Poolside
Founded
2023
Country
United States
Website
www.poolside.ai/models