Salmon.info, a public resource developed by the Atlantic Salmon Federation and the North Atlantic Salmon Fund, is using the Alani API to transform over 300 peer-reviewed resources into a dynamic, AI-powered knowledge base. This case study highlights how the Alani API enables mission-driven platforms to turn static content archives into structured, searchable, and human-centered intelligence systems.

Challenge

Salmon.info was created to inform the public, including journalists, policymakers, researchers, and concerned citizens, about the wide-ranging impacts of salmon farming. With hundreds of long-form, evidence-based resources available, users often struggled to find, understand, and navigate the content efficiently. The team needed a scalable solution that would preserve editorial integrity while improving content discovery, context, and comprehension.

Solution

By integrating the Alani API, Salmon.info has been able to automatically summarize scientific reports, making dense and technical content accessible to a wider audience. The API also classifies content by theme, such as environmental impacts, consumer behavior, industry policy, and salmon in culture, allowing users to explore specific topics more effectively. Documents are transformed into a searchable, semantically linked system, enabling users to ask natural language questions and receive contextual, citation-backed answers. In addition, the Alani API powers a dynamic content map that supports intuitive navigation and connection between topics, articles, and verified sources.

Responsible AI Use

The Alani API is used only for site functionality and not to generate or rewrite content. All summaries are derived from human-vetted research. Alani’s role is to enhance access, speed, and structure while preserving the integrity and transparency of the underlying information. This ensures Salmon.info remains a trusted, editorially sound platform, now enhanced through intelligent technology.

Outcomes

The integration of the Alani API has resulted in greater user engagement through easier content discovery, improved comprehension of complex research, faster access to key insights, and higher utility of content for nonprofit communications and public education. This use case demonstrates how the Alani API can help organizations with large static repositories evolve into dynamic, intelligent experiences without compromising on accuracy or editorial values.

About Alani AI by bundleIQ

Alani AI is an intelligent knowledge platform developed by bundleIQ that transforms fragmented documents, web content, and data into structured, conversational knowledge systems. Organizations use Alani to enable semantic search, summarize complex information, and deliver context-aware answers across domains such as policy, research, climate, health, and enterprise operations. Alani is available as an API or full-stack solution and is built to support responsible AI adoption, human oversight, and mission-aligned impact.

Learn more at www.alani.ai

About Salmon.info

Salmon.info is an evidence-based public resource created by the Atlantic Salmon Federation and the North Atlantic Salmon Fund. Its mission is to provide trustworthy information on the environmental, social, and economic impacts of salmon farming, with a focus on the future of wild Atlantic salmon. The platform follows a human-first editorial model. Content is developed and reviewed by scientists, journalists, and subject-matter experts. All information is transparently sourced and scientifically grounded. Salmon.info does not receive funding from the aquaculture industry and exists to support education, conservation, and policy action in defense of wild salmon populations.

Visit www.salmon.info to explore the platform.

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