Technology & AI Capabilities

Transforming Consumer Data into Strategic Intelligence

Powered by a proprietary AI stack combining NLP, scoring, and Retrieval-Augmented Generation — purpose-built to analyze unstructured consumer data at scale.

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The Copilot Interface — Built on a Powerful Retrieval Layer

Sensia’s Copilot isn’t just a chatbot. It leverages a multilingual RAG engine to retrieve the most relevant insights from your structured and unstructured consumer data. Every answer is traceable, explainable, and sourced.

Through our intelligent conversational chat interface, you can:

  • Ask business-specific questions
  • Retrieve targeted insights from your data
  • Receive rich, contextualized, and sourced responses

Every answer is traceable and grounded in your own data—ensuring reliability, precision, and relevance.

Ask. Explore. Act. Instantly.

Ask your business questions directly. Our AI Chat retrieves insights, summarizes feedback, and helps you make smarter decisions—faster.

Examples of what you can ask:

  • What are the main consumer pain points about our new packaging?
  • Summarize purchase intentions for this product line in Germany
  • What are the sustainability perceptions around this ingredient?

No black box. Every answer is traceable to its source—consumer data and AI-driven analysis you control.

Sensia’s AI Architecture – From Raw Data to Decision-Grade Insights

Our platform processes unstructured consumer feedback through a four-layer architecture.

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  1. Ingestion Layer — Collects reviews, posts, product pages, and internal CSV data

  2. Verticalized NLP Models — Trained by category, performing
    • Entity extraction (e.g. ingredients, formats, issues)
    • Contextual Sentiment (BERT-based, fine-tuned)
    • Attribute classification and topic detection
    • Scoring (intent to buy, perceived value, CSR, etc)

  3. Knowledge Indexing Layer (RAG) — Converts all structured insights into a multilingual index for semantic retrieval

  4. Generative Insight Layer — Structured, Use-Case-Driven Summarization
    • Generated through use-case-specific prompts (e.g. UX evaluation, innovation levers, claim analysis)
    • Produced per source and as consolidated multi-source views
    • Accessible as structured reports within the interface
    • Indexed into the RAG engine for conversational retrieval

  5. Generative Interface (Copilot) — Enables users to ask strategic questions and receive traceable, insight-rich responses powered by the indexed knowledge base

Supported Data Streams and Connectors

Sensia natively supports structured and unstructured data from leading platforms, with seamless integration into your research workflow.

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Global eCommerce
Google Shopping, Amazon, Sephora...
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US Marketplaces
Walmart, Costco, Target...
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Local Leaders
Ocado, Carrefour, Auchan, SSG, Google My Business...
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Social & Engagement
YouTube, TikTok, Instagram...
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Your Own Data
Internal studies, surveys, CSV uploads...

Ready to unlock the full potential of consumer insights?

Trusted by Innovation Leaders - Featured in French Tech, Havas, and more.

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F6Sreward jan25
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