Label speech, sounds, and audio signals with precision — empowering models to understand language, intent, and acoustic patterns.
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From voice assistants to acoustic monitoring, we provide expert audio annotation services including transcription, speaker labeling, emotion tagging, and sound event detection — helping your AI truly listen and respond.
Our dedicated annotation team ensures every dataset is crafted with accuracy and care—empowering AI with human intelligence.
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We annotate speech, noise, and acoustic events for training voice-based and sound-recognition AI. Our offerings include speaker diarization, emotion recognition, audio segmentation, multi-language transcription, and keyword tagging — tailored to industries like virtual assistants, call centers, and security systems.
Sound Labeling
Precisely track and detect objects in video frames for real-time applications and analytics.
Speech to Text Transcriptions
Assign pixel-level labels to video frames for detailed understanding in autonomous systems.
Sentiment and Topic Analysis
Assign pixel-level labels to video frames for detailed understanding in autonomous systems.
Audio Classifications
Assign pixel-level labels to video frames for detailed understanding in autonomous systems.
Audio Data Collections
Identify key body or facial points for advanced motion tracking and pose estimation in videos.
We adapt quickly to your evolving project needs. Whether you're launching a proof of concept or scaling to millions of annotations, our agile workflow ensures speed, flexibility, and consistent quality — without the bottlenecks
Your data is your asset — and we treat it that way. We follow strict data privacy protocols, secure infrastructure practices, and industry-grade compliance standards to ensure your information stays protected at every step.
From emerging startups to global enterprises, we offer scalable pricing models that align with your budget and goals. You get top-tier annotation quality — without the enterprise-only price tag.
The process begins with understanding your use case — whether it’s multilingual speech, natural conversations, or environmental audio. At Intellisane AI, we combine human annotators with advanced tools to tag, verify, and structure your audio data with multiple review layers before delivery.
We start by aligning on your annotation goals, data formats, and key success metrics.
This phase ensures a clear understanding of your project scope and technical needs.
Your raw data is cleaned, structured, and annotated using best-fit tools and techniques.
Our skilled team ensures high precision and efficiency throughout the process.
We share annotated samples for your review. Your feedback guides refinement of labeling instructions, ensuring the workflow is optimized to your expectations.
A thorough QA process is conducted with multi-level checks—combining expert review and automation to validate accuracy, consistency, and compliance with guidelines.
The fully annotated dataset is delivered in your desired format, on time.
We offer continuous support for updates, scaling, or retraining as your AI models evolve.
Our clients share how Intellisane AI’s precise and reliable annotation services boosted their AI projects, showcasing our commitment to quality and trust.
Intellisane AI played a key role in helping us reach 97% accuracy in automating foundation layout detection. Their deep understanding of spatial data and labeling precision brought measurable improvements to our AI pipeline. The team was communicative, detail-oriented, and delivered everything ahead of schedule.S. RagavanSr. ML Engineer
Our fashion AI model required pixel-level segmentation across 72 garment categories—and Intellisane AI handled it flawlessly. They quickly adapted to our complex annotation guidelines and delivered consistent, high-quality labels at scale. Their domain focus, speed, and attention to visual detail were exactly what we needed.Valerio ColamatteoSr. AI Scientist & Team Lead
For our ADAS project, Intellisane AI delivered precise vehicle annotations across diverse traffic scenes, including multiple object classes and occlusion scenarios. Their expertise in automotive data workflows and quality-first mindset helped us pass all validation checks, with timely delivery and professional communication throughout.Raphael LopezCo-Founder & CTO
Supporting innovation in voice tech, smart homes, security, healthcare, and more with reliable audio labeling.
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