How Grain increased customer satisfaction by 12% after integrating AssemblyAI

Artificial Intelligence (AI) models are helping companies create tools that more effectively analyze and synthesize abundant customer data.

For example, companies like Grain, an AI notetaker platform, are embedding high-quality speech-to-text and speech understanding models to offer impressive transcription and audio analysis capabilities to their customers. 

With a clean, easy-to-use UI, Grain’s platform lets users automate previously manual, low-level tasks and spend more time performing AI-augmented analysis that fuels the intelligent, actionable insights that drive customer loyalty and growth.

‍

‍

One of Grain’s customers, Drivetrain, describes how “Grain is the heart of our day-to-day operations. We use it to provide visual meeting recaps to clients and partners, capture high impact moments on delivery meetings, and provide real-world training and support to our team.”

Grain’s co-founder and former CEO, Mike Adams, explains that Grain’s premise comes from the idea that in today’s digital world, every conversation—from phone calls to lectures to team meetings—can be considered data that can be put in a digital format and manipulated by Large Language Models, or LLMs.

Turning these unstructured conversations into an output that is repeatable, useful, and valuable for Grain’s customers is one of the company’s top priorities.

This is why, Adams continues, “At Grain, we've been increasingly leveraging Large Language Models (LLMs) to help our customers make better sense of this data through AI identification, flagging, highlighting, clipping, and summarization.”

‍

‍

For Grain’s platform to generate the most intelligent insights possible, Adams knew that Grain’s product team needed to focus on first ensuring that each audio and video file its platform processed was transcribed at the highest accuracy possible.

“Everything in statistics comes down to garbage in and garbage out. So depending on the quality of your natural language processing and your speech-to-text, that's going to impact the quality of your analysis,” explains Adams.

This understanding led Grain’s product team to switch from their previous provider, Rev, to AssemblyAI.

After integrating AssemblyAI’s Speech AI models into its workflows, Grain saw its customer satisfaction increase by 12%. 

Built using the latest state-of-the-art capabilities and architectures in AI, AssemblyAI’s Speech AI models are robust, secure, and scalable, helping fast-growing products like Grain’s build high-performing tools and features faster. Grain also liked that AssemblyAI offered Automatic Language Detection (ALD), and could transcribe conversations in core languages at a high accuracy—something necessary to serve its highly international customer base. 

By integrating AssemblyAI’s Speech AI models, Grain’s product team can ensure all transcripts produced by its platform are at the highest accuracy. In turn, highly accurate transcripts translate into more intelligent insights for Grain’s customers.

These AI models help Grain’s customers achieve what Adams views as “augmented intelligence,” with its AI-powered tools, or tools that help users become smarter, more productive versions of themselves.