AI in Audio.

Our work explores how machines perceive and transform audio: from recognizing the smallest nuances in music to reshaping frequencies with precision. Flowrec introduces application of AI in audio that deepens creativity, accessibility, and understanding of human expression.

AI in Audio

Flowrec advances Audio Intelligence on how machines perceive, analyze, and transform sound. From micro-variations in pitch and tempo to spectrum-wide remastering, we build models that make audio measurable and malleable without losing authenticity. Our Audio Analysis stack quantifies melody, rhythm, harmony, and listener-focused traits like danceability. Music turns into reliable data. Our Audio Transformation systems rebalance loudness, widen stereo, reduce noise, and shape frequencies with transparent control. With Audio Classification, we identify voices, instruments, and genres to power smarter search, curation, and accessibility.

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Audio Analysis

Measure pitch, tempo, chords, and cues like danceability with reproducible models, turning sound into structured data that fuels insight.

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Audio Transformation

Learned processors rebalance loudness, widen stereo, reduce noise, and sculpt frequencies to boost clarity while preserving authenticity.

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Audio Classification

Identify voices, instruments, and genres to bring order to sound complexity. Enable new ways to navigate, search, and organize music.

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AI in search.

Our research moves beyond keyword matching. We investigate how AI interprets language, images, and sentiment. That aligns with our target to build systems that treat search as an act of understanding.

We treat search as understanding customer demand. Our research moves beyond keywords to interpreting language, images, and sentiment as signals of intent. We design multi-modal models that align text and visuals, so a query retrieve meaning across formats, not just files. We add sentiment analysis to recognize approval, concern, curiosity, or critique, making results human-aware and contextually filtered. We use classification to structure concepts, entities, and relationships into clean categories that turn scattered data into knowledge maps. And we advance semantic search that interprets queries in context, bridging language gaps and retrieving ideas rather than exact strings, across languages and domains. Together, these threads form intent-first systems, accessible, connected, and purposeful, that elevate discovery from matching words to understanding what people mean. This is how we make information easier to find, trust, and use.

AI in Audio
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Semantic Search

Understands intent, not keywords. Maps queries and content to one space to retrieve meaning across languages, domains, and paraphrases.

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Sentiment Analysis

Detects emotion beneath words, approval, concern, curiosity, critiqu, so results reflect tone and intent, making search more human-aware.

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Multimodal Search

Unifies text and images in a shared model. A query becomes a signal of intent, retrieving meaning across formats for grounded, richer discovery.

Impact for All.

Our research is guided by the principle that AI should serve everyone. From clearer sound for creators to smarter search for communities, Flowrec’s work ensures that the progress of intelligence translates into real improvements in daily life.

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AI Matters More When Applied.

Our products emerge not from market trends but from deep inquiry. Each is a response to real-world challenges, proving that rigorous AI research can transform daily struggles into breakthroughs that serve creativity, clarity, and discovery.

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Remasterify.

Making Music Sound Professional.

Musicians, especially independents, have long faced the barrier of expensive mastering studios. Tracks often sounded unpolished, inconsistent, or lost in noise. Through research in audio analysis and modification, we created Remasterify, an AI system that listens, learns, and enhances. It detects pitch, tempo, and tonal balance, then applies adaptive mastering, stereo widening, and noise reduction.
What once demanded costly expertise is now accessible instantly, preserving authenticity while elevating quality. Remasterify solves the problem of access, giving every artist a professional sound.

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Fynq.

Rethinking How Search Understands Us.

E-commerce and knowledge platforms often fail to show what users truly mean. Typing a query became a frustrating game of exact matches, while intent and emotion were ignored. Our research asked: how can machines understand human search behavior? The outcome is Fynq, an AI system built on semantic search, multimodality, and sentiment awareness.
Instead of scanning words, it interprets meaning, organizes data, classifies concepts, and connects ideas. Fynq solves the problem of misunderstanding, turning search into discovery.

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Progress We Measured.

Progress in research is best shown through what it enables. Each number here reflects an idea tested, a system refined, and a result adopted. We take these as signs that Flowrec’s exploration is shaping real outcomes for human creativity and knowledge.

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Agility at the Core of Discovery.

Our approach is empirical, iterative, and adaptive. By moving quickly from observation to experiment to refinement, we turn ideas into functioning systems. This agility has empowered our journey, ensuring each discovery translates into meaningful, real-world impact.

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Responsible AI .

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Security is not an afterthought for us. It is embedded into every model we build. We design AI systems with fairness, safety, and transparency as guiding principles. Data is handled with care, anonymized, and protected through encryption. Our methods follow ethical research standards, ensuring that progress never compromises trust. In every iteration, we balance innovation with responsibility, creating intelligence that respects privacy and safeguards the communities it serves.

Quality Benchmarks.

Our benchmarks are more than our performance scores. They are standards of trust. Every model we develop is validated against rigorous academic datasets and real-world conditions, ensuring reliability across contexts. We measure accuracy, fairness, and resilience, not only technical efficiency. This empirical approach keeps our research accountable and transparent. By holding ourselves to the highest benchmarks, we ensure that Flowrec’s intelligence is not only powerful but also safe, consistent, and ethically sound.

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Why We Exist ...

At its core, Flowrec is a research lab driven by curiosity and discipline. We envision AI as a scientific pursuit, built through experimentation and reflection, not market pressure. Tomorrow’s work expands to new areas of discovery, from knowledge systems to human-AI collaboration. Each breakthrough is an affirmation of our principles: rigor, fairness, and responsibility. Our path is not only to innovate, but to set standards for thoughtful progress.

Testimonial.

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V Vinnie Liss

Absolutely fantastic app! I use it to play along to with my guitar. I use it most days, via Bluetooth to my surround system. But, please, please, please, can you somehow balance the sound levels between the songs on the app, and the adverts that come on before your selected song. The increase in volume for the adverts, can be almost twice as loud! Not ideal when you're playing quietly at night. If you can fix this, I'd rate you 6 stars!! 20 people found this review helpful

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Pau Kim

This is one of the best apps ever created for people like me. The headache of finding chords is gone within 3 simple taps. 1. Search the name of the song. 2. Request for chords 3. Play the song after it's completed. Note: YouTube or Google please don't take down this app. The App pricing is perfect and within an affordable price range.

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Thierry Laprade

Hey there, I just want to express my gratitude for your job, your mastering algorythm is just awesome. I tried a dozen of other online mastering services and none was satisfying for my mixes. Remasterify can remove harshness without destroying the top of the mix, quite a rare quality! It is also respectful of the mix in general (I've used the default setting so far).

Case Studies.

We felt that our research had become a reality. First, we confronted the problem, then we applied our method of solution. Here’s a few works of ours.

Hybrid Mobile App for AI-based Service

HybridAIReactNEXTFirebase
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Pragmatic SVG Library

PragmaticSVG LibraryStorage OptimizationAutomation
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Custom Search Engine Setup for a Site with 150 million plus Records Using ELK

ELKLarge Scale SearchReal-time SearchHigh Performance Search
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