Seam AI is a powerful tool that offers a range of capabilities for businesses dealing with customer data. It allows for the automation of account and contact research with just a single prompt. This means that researching and analyzing companies, markets, industries, and people at scale becomes a seamless process.
One of its key features is the ability to connect to various sales and marketing systems. It has pre-built connectors that enable it to interface with any such system, making it easy to enrich data from all your systems. You can ask any question, and Seam AI will fetch the relevant data for you. It leverages the latest and most advanced models from the likes of OpenAI, Perplexity, Anthropic, etc., to automatically enrich your internal data.
The tool also provides the option to automatically sync these enrichments back into your apps. You can define a schedule for how often you want Seam AI to research your accounts or contacts and then sync the data into your sales and marketing systems. This ensures that your data is always up-to-date and relevant.
Moreover, Seam AI offers fully customized prompts. Whether you want to know if a company is B2B or B2C, what its most recent funding round was, or about its distribution model, you can get the answers. It can also summarize specific sections like the 10k risk section and provide information on aspects such as SOC2 compliance, acquisition history, and investor details.
Customers have had positive experiences with Seam AI. They rely on it to drive growth with their data. For example, one customer mentioned that it was the clear winner for ease of use and flexibility. They could tweak it, audit it, and iterate on it consistently, having full control over how they pushed custom data and displayed marketing insights. Another customer felt that the options with Seam AI were almost limitless, and if you could think of something, there was probably a way to do it with Seam without it being too difficult.
In conclusion, Seam AI is a valuable asset for businesses looking to make the most of their customer data, automate research processes, and keep their data in sync across different systems.
