Blackbaud Introduces Lantern Language Model for Fundraising
Blackbaud introduced Lantern, a domain specific language model for fundraising and social impact organizations, at bbcon 2026 in Columbus, Ohio, on September 29, the company said in a press release.
Lantern was developed with Databricks using open weight models on the Databricks Data + AI Platform and Blackbaud's fundraising expertise. The model is post trained on synthetic scenarios based on Blackbaud's Social Impact Signal Graph, covering donor behavior, retention, donation upgrades and long term donor relationships.
Blackbaud developed the model with input from customers including Boston University, Hesed House and YMCA of the North. Lantern will be part of Blackbaud's Platform for Good and will begin supporting select Raiser's Edge NXT and Agents for Good capabilities in 2027, followed by broader availability across the platform.
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