Introducing Plaud Embedded: Build Conversational AI into Your Product
For the past three years, Plaud has helped over two million professionals automate the work that flows from their in-person, phone, and online conversations.
Professionals across every industry have brought Plaud to work, from sales teams and dentists to physicians, lawyers, and field technicians. Along the way, we’ve built summary templates (and enabled our users to contribute to our 10,000+ community templates) and a copilot that helps users ask questions across all their conversational context.
But we’ve realized that summaries & a queryable second-brain is just one of many use cases for conversational intelligence. Many verticals have deep workflow and integration needs that Plaud can’t build alone as a horizontal solution, and there are still hundreds of millions of working professionals globally who don’t yet benefit from the rich context that is generated through conversation.
That’s why we’re unveiling Plaud Embedded: to give developers in vertical industries the power of our devices and speech-to-text infrastructure, built for real-world context capture, so we can collectively bring AI productivity to people who have largely been left behind by the recent wave of AI.
What is Plaud Embedded?
Plaud Embedded is our platform that lets developers integrate Plaud’s voice AI natively into their products. Plaud becomes infrastructure for their software, the same way LLMs have become infrastructure for nearly every AI product built today.
It enables builders to focus on their vertical expertise, while Plaud handles the rest:
- State-of-the-art hardware for capturing audio in the real world
- Easy integration via our mobile SDK
- Accurate transcription built for real-world conditions, not controlled environments
- A global supply chain so you can ship at scale
Device SDK
With the Plaud SDK, developers can enable their mobile app to bind and pair directly with Plaud Note Pro or Plaud NotePin S devices to capture audio, without having to understand the intricacies of Bluetooth/WiFi file transfer.
Transcription API
Becoming the world’s best note-taking product for the real world has required Plaud to build a state-of-the-art speech-to-text and diarization pipeline. Plaud Embedded surfaces this pipeline via our Transcription API, solving for background noise, splitting speakers based on voice similarity, and cleanly parsing overlapping speakers across 112 languages.
What can you build?
Once you have access to your users’ conversational context, you can unlock use cases and value that were previously impossible. That said, across industries and professions, we’ve seen consistent patterns emerge from what our design partners have been building.
1. Automate documentation
With Plaud, products can help their users replace the need for manual notes and hours of data entry. Records can be generated straight from the source: automating patient documentation into EMRs, helping field technicians avoid sitting in their car for 30 minutes after each site visit updating field notes, or keeping a real estate CRM automatically updated with preferences and context from every client conversation.
2. Give AI agents context
Vertical AI agents are only as good as the context they have access to. By giving them full context right from the lossless source (conversations), they can much more effectively and accurately perform tasks on behalf of users.
Imagine an AI sales coaching agent that had access to every sales conversation a rep has, instead of the sparse notes that are in the CRM.
Or an AI receptionist for dental clinics that books follow-up appointments with full context on treatments and next steps discussed between a patient, the dentist, and the hygienist.
- Uncover offline insights
In-person interactions have always been a black box for business analytics. Up until now, retail businesses relied on lagging indicators for business performance, with no insight into what was actually happening in the stores.
Every layer of reporting, from the manager to the regional manager to headquarters, introduces biased reporting and lossy context, forcing teams to make decisions off inaccurate data.
Plaud enables retail analytics companies to offer proactive, real-time insight to retail companies, by capturing customer demands and communications from the source.
Get started
If you're building a vertical software & AI product and want access to your users’ rich, real-world conversational context, build with Plaud Embedded.
Get access to the research preview at dev.plaud.ai, and follow along at @PlaudBuilders on X and join our Discord community as we’ll be building in public.
