Company Updates May 13, 2019
We’re excited that Amazon Web Services AWS highlighted Alkymi on their machine learning blog.
Here’s an excerpt:
After clients deploy Alkymi in production, end users, such as business or ops analysts, no longer need to use a manual copy-and-paste workflow. Instead, they only need to validate a small amount of exceptions that have been flagged by Alkymi.
These corrections fuel a feedback loop that improves model accuracy and performance over time. As a result, the business can move forward quicker, with fewer missed opportunities, less risk, and much less operational overhead.
Alkymi’s customers estimate that the platform automates up to 90 percent of manual document processing tasks and cuts errors by 50 percent—all while generating actionable insights in real time rather than days or weeks later.
Fine-tuning is not the only way to get relevant, domain-specific responses out of an LLM. Alkymi’s team of expert data scientists explain an alternate route.
Find out which type of automated document processing solution is right for you: data extraction, an IDP, or a complete business system for unstructured data.
We’re partnering with Portfolio BI, a provider of portfolio analytics and reporting solutions, to bring structured and unstructured data sources together.