Conversational AI: Next‑generation dialogue systems

From rich speech datasets to multilingual chatbot development and evaluation, Defined.ai empowers companies building, fine‑tuning, and deploying conversational AI to deliver natural, accurate, and scalable interactions across voice and text.

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ISO 27001- and 27701-certified and GDPR compliant

Conversational AI You Can Trust at Scale

Diverse Speech Data for Real‑world Scenarios

Spontaneous H2H and IVR dialogues, scripted monologues, and live audio from calls, meetings, and podcasts.

Rich Transcription and Annotation

Capture tone, intent, and context for training robust ASR and NLU models.

Multilingual Chatbot Expertise

Accelerat.ai project supports high‑ and low‑resource languages for inclusive AI.

End‑to‑end Tech Stack Guidance

Speech‑to‑text, text‑to‑speech, NLU/NLG engines, and dialogue management frameworks.

Expert Conversational AI for Any Data Type

We offer high-quality conversational AI across every modality—audio, image, video, text, and multimodal—ensuring diversity, compliance, and scalability for your AI training needs.

Audio

Build and evaluate speech data for conversational AI:

Spontaneous Speech (H2H): Two‑person dialogues representative of call center interactions.
Spontaneous Speech (IVR): Human‑machine exchanges with TTS prompts and natural responses.
Scripted Speech: Monologues for controlled acoustic and linguistic coverage.
Live Data: Real recordings from meetings, interviews, podcasts, and lectures.
Rich Transcriptions: Detailed annotations for tone, intent, and speaker metadata.

Image

Support multimodal conversational experiences:

Visual Context Integration: Annotate and validate UI elements for chatbot interfaces.
Image‑Text Alignment: Ensure responses match visual cues in apps or IVR menus.
Scenario‑Based QA: Evaluate chatbot performance in image‑rich workflows (e.g., product support).

Video

Enhance conversational AI with video‑based context:

Video Dialogue Annotation: Label speaker turns and gestures for multimodal training.
Meeting & Webinar Data: Capture real conversational flow for enterprise bots.
In‑Context Evaluation: Assess chatbot responses against visual and spoken cues.

Text

Core NLP services for chatbot development and optimization:

Intent & Entity Annotation: Structure text for NLU engines.
Dialogue Flow Design: Build and validate conversation paths for customer support.
Multilingual Coverage: Support European Portuguese, French, Spanish, Italian, German, and English.
Response Quality Evaluation: Score accuracy, tone, and helpfulness for LLM‑powered bots.

Multimodal

Enable advanced assistants that combine voice, text, and visuals:

Cross‑Channel Consistency: Validate tone and terminology across speech, chat, and UI.
Multimodal Benchmarking: Test chatbot performance in real user journeys with mixed inputs.
Scenario Simulation: Evaluate end‑to‑end flows for omnichannel experiences.