Sitting down with Alkymi’s new VP of Customer Success
by Bethany WalshHear from George Chedzhemov, our new VP of Customer Success, on his approach to enhancing customer experience and maximizing value.
Expanding our embedded integration with SimCorp
by Harald ColletOur partnership offers customers a fully integrated, automated workflow for processing unstructured investment data, directly into the SimCorp platform.
Revolutionize your data management: how ML transforms data operations
by Bethany WalshWhen it comes to unstructured data, switching from templates to ML-powered workflows will provide you with more efficiency, adaptability and scalability.
Quarterly Statements Rule: 3 ways to ensure compliance
by Elizabeth MatsonThe transition window for the SEC's new Private Fund Regulations is well underway. AI-powered workflows will help you stay compliant and improve efficiency.
Speed up CIM review with LLMs
by Elizabeth MatsonReviewing a stack of CIMs can be painful, but it doesn’t have to be. Here's how we redesigned a CIM review workflow using large language models.
2023: A year in review
by Harald Collet2023 was a monumental year for Alkymi. Take a look at our top data points from the past year.
Using LLMs confidently in financial services workflows
by Elizabeth MatsonTools powered by LLMs can help you dive deeper into your data. Learn how you can use them with more confidence that you're getting the right answer, every time.
The future of standardization is not templates
by Bethany WalshThe dream: every document that comes into your firm is formatted in the exact same way. The reality? Well, it’s a bit more chaotic than that.
Minimize hallucination risk while maximizing LLM output
by Keerti HariharanWith the right strategy in place, you can minimize the risk of LLM hallucinations, allowing your business to confidently leverage them in your workflows.
Tidy up your data with Tags
by Elizabeth MatsonUse our Document Tags feature to add a new level of organization to your processed data and filter for only the documents you need.
Never miss a deadline with automated K-1 processing
by Elizabeth MatsonAutomated processing for your Schedule K-1s, K-2s, and K-3s will boost your team's efficiency and future-proof your data workflows.
A high-performance approach to personalizing an LLM
by Elizabeth MatsonFine-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.