Breyta Introduces AI-Based Search to Deliver Real-Time Answers From Internal Data

In the current age of information overload, most organizations are drowningin data, but starving for insight. From interview transcripts and meetingnotes to customer feedback, support tickets, strategy docs, and product roadmaps, every team is sitting on a goldmine of knowledge.

But too often, this data remains unused simply because people can't find what theyneed when they need it. Everyone's had the annoying experience of having to dig that quote out of whatever foldersyou stored it in or trying thousands of keyword combinations in Slack or Notion.

More often than it needs to be, workis done more than once not because it wasn't done, but because no one knew where to find it when they needed it.

Image: https://lh7-rt.googleusercontent.com/docsz/AD_4nXdHVsMaB7UUHNaYV-9L6I2_CdzhE0qJrq0F0S4ODIrnoofutaT0tlTmIInx7-e1MNBogEU8vzmI5smNHvHPsXa6xLm9wU-bm9qaplvJVzzoqw9zPuOv3rEqiJjHn35fOZs?key=CfEGGgmIo_GI1s9RvMIpZNcd

What Does "Ask Anything of Your Data"Actually Mean?

The old data search isbroken. It's rigid. Itrelies on specific keywords, file naming, or folder arrangement. If the wording doesn't match exactly orif the data is tucked inside an audio file or an image, it's invisible to search. That's exactly where natural-language, AI-powered searchsteps up. Instead oftyping in "pricing feedback Q1" and hoping the right document appears, you could simply ask:

"What did customers say about pricing in thefourth quarter?"

And thesystem will know what you mean by your question. It willthen scour all file types from PDFs, DOCX, and CSV to video and audio, and return a clear, context-sensitive answer. It's like having a hyperintelligent User Research [https://www.breyta.ai/] assistant at your beck andcall.

ForExample Prompt: "What is the Future of User Research?

Supposeyour team is putting together a presentation or a whitepaper. You want quotes from experts in the field of where user research isgoing. Rather than spend hours combingthrough dozens of research reports, meeting transcripts, and interview notes, you type:

How will user research evolve in thefuture?

Within seconds, the AI will:

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Quotes from previous interviews with expertson coming trends

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Get insights from PDF or article documentspresent at https://your-drive

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AI and intelligence uplift, remote testing, agile feedbackloops, etc.

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Provide source references and timestamps so you can verify and cite withconfidence

What took daysis now a matter of seconds. It's not only faster, it's sharper, more comprehensive, and evidence-based.

Why This Matters: Data for Everyone,Data for Everyone

This approach hasthe beauty that anyone can ask anything.

You don't need to:

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Know how the data was labeled

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Remember who uploaded a file

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Have expertise inBoolean search or advanced filters

You just need a question. It makes the power of research and institutional knowledge available to theentire team:

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Product managers can query about thefeature requests

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Usability issues can be foundby designers

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Salescan find customer objections

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Marketing can pull quotes for messaging you trainingon quotes.

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Leaders canexamine strategic lags

Advantages of"Ask-Anything" AI Search

So, let's dive into why this type of AI search is such a gamechanger:

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Instant Discovery

Discover what youneed in seconds across thousands of files, formats, and sources.

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Natural Language Questions

No need for special syntax. Ask as you would ina conversation:

"When users are onboard,how do they feel?

"What feedbackdid we receive on the new dashboard?"

"Are there any commonbugs noted in support tickets?"

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Contextual Answers

You don't simplyreceive a laundry list of files, you get a distillation of insights, culled from various sources and delivered in something like context.

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Rich Data Types Supported

Search works across:

Video interviews

Audio recordings

Transcripts

PDFs and Word Docs

CSVs and spreadsheets

TXT files and meeting notes

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Democratized Knowledge

No more siloed data. Anyone can search and contribute, no matter how technical or whatrole they were on a team.

HowIt Works: The Mechanics Behind the Wonder

Here's why this technology isso powerful and so easy to use:

Automatic Ingestion

Upload any type offile, video, audio, docs, spreadsheets, etc and the system transcribes, indexes, and organizes it all in the background.

Semantic Understanding

The AI doesn'tsimply do a keyword match. It understands meaning context andintent. That means it can "find phrases and insights evenif they don't match to the question.

Smart Summarization

You getdirect answers, with context. It can group themes, like relationships or drug use, point out patterns, andeven send you back to the original, so you can drill down further.

Scalable and Secure

It runs whether you're uploading 10 files or10,000. And it was designedfor enterprise-grade security, compliance and privacy.

Anyone Can Use It-Really

The most significant hurdle for traditional analytics andsearch systems is adoption. If it's difficult to learn, people will notuse it. If only you understand it, the rest of the companygets left out.

With ask-anything AI,that barrier goes away.

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No training required

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No setup process

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No tagging or formatting

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There is nowaiting for IT or data teams

As long as youcan pose a question, you can receive an answer.

Zero Setup. Maximum Power.

You can try it out instantly. There's:

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No onboarding

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No complex UI

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No integration headaches

Simply sign up, drag and drop yourfiles, and start asking.

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Want to know what userssaid about pricing? Ask.

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Wantto know what product themes surfaced in the last quarter? Ask.

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Do you guessthe pain points before releasing your next feature? Ask.

Your datahas all the answers, only you don't have a way to access it.

Create a More Intelligent, searchable knowledgebase

And, beyondimmediate answers, this kind of tool helps you develop a dynamic, searchable research archive as time goes on. Each file someone uploads or question someone asks feeds your collective knowledgepower.

Over time, you can:

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Track patterns

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Compare themes across time

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Search historical feedback

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Resurface forgotten insights

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Avoid redundant work

This is compounding knowledge in action completely withno effort.

Give It a Shot-Your Data AlreadyKnows the Answers

If you're tired of hunting for information, duplicating work, and spending hoursreassembling insights experience the future of data search today. Create an account, and upload a handful of files research docs, customerinterviews, and product notes.

Then ask a question like:

Why Now: "What parts of our mobile experience dousers hate? You'll be amazed bywhat you have already got in your data and how quickly it emerges.

Final Remarks

It is not more datathe future of work requires. It'sabout unlocking data you already possess. Anyone onyour team can then do an AI-powered, natural-language search. This allows for instant access tokey insights

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Ask meaningful questions

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Make smarter decisions

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Collaborate across roles

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Avoid duplicate effort

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Createan engaging knowledge engine that improves with time

You are not just in it formore dashboards. You don't need more training. You just need to ask. Start now. Upload your data. Ask anything. Discover everything.

Media Contact
Company Name: Breyta
Contact Person: Mike Thomas
Email:Send Email [https://www.abnewswire.com/email_contact_us.php?pr=breyta-introduces-aibased-search-to-deliver-realtime-answers-from-internal-data]
City: New York
Country: United States
Website: https://www.breyta.ai/

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