
Deep learning has produced powerful predictive models, but they are currently used as uninterpretable black boxes that fail when the goal is not merely prediction, but insight and discovery. DeepLIFT's algorithms bring interpretability to deep learning by taking these black box models and looking inside them to understand why they work. *We have not raised any money, nor are we fundraising.* At the time of writing, Crunchbase claimed we had received 50k in non-equity assistance. This is incorrect.

Deep learning has produced powerful predictive models, but they are currently used as uninterpretable black boxes that fail when the goal is not merely prediction, but insight and discovery. DeepLIFT's algorithms bring interpretability to deep learning by taking these black box models and looking inside them to understand why they work. *We have not raised any money, nor are we fundraising.* At the time of writing, Crunchbase claimed we had received 50k in non-equity assistance. This is incorrect.
Company: DeepLIFT Technologies (deeplift.ai)
Sector: Explainable AI / interpretability for deep learning
Notable coverage: Featured at Pear Demo Day (TechCrunch, Sept 1, 2016)
Reported users: Used in eight genomic labs (per coverage)
Funding: No verified external funding reported on searched databases
Explainable AI / model interpretability for deep learning applications.
Artificial Intelligence
Total Funding: 0.00