AI Behind Synthetic Echo's Solutions

The Core of Synthetic Echo’s AI Market Research

Synthetic Echo is leading the way with AI market research. Unlike LLMs that risk inaccuracies and hallucinations, our technology is focused on authenticity, clarity, and precision. Our goal is to deliver the most reliable survey responses—ultimately providing better insights for brands and organizations.

Our AI & Technology Capabilities

1. Fine-Tuned SLMs (Small Language Models)

• Customized Digital Twins: Using relevant social data, we create small language models (SLMs), using reinforcement learning with human feedback (RLHF). These models serve as digital twins of real people, organized into synthetic panels for each audience segment.
• Survey Responses with Authenticity: Well-structured questions are generated to enable our SLMs to provide authentic, audience-specific responses.

2. Retrieval Augmented Generation (RAG)

• Expanding Insights: Our RAG technique allows us to integrate new and unstructured data from various sources, such as social media and internal company data.
• Continuous Data Enrichment: By applying RAG to our SLMs, we generate expansive datasets, which results in a virtuous cycle—more diverse data leads to richer and deeper insights.
• Trend Detection: The continuous input and analysis of data enhance trend detection and the evolution of insights.

3. Multiple Agent Systems (MAS)

• Automated Research Tasks: We use MAS to create AI agents that replicate the expertise of human researchers. These agents automate scoring, analysis, and reporting processes.
• Efficient Analysis & Feedback Loops: Agents work collaboratively, with one agent’s output becoming the input for others, leading to more complex strategic tasks. MAS also provides feedback loops to continuously improve our SLMs.

4. Traditional Machine Learning (ML)

• Insight Automation: Traditional ML techniques—such as semantic topic classification, sentiment analysis, automated theme extraction, and entity extraction—are crucial in automating the detection of trends and insights.
• Quantitative Measurement: These ML capabilities provide quantitative measurements and extract conversational data that feed into the AI processes mentioned above.

5. Verification of Results

One of our core priorities is ensuring the accuracy and reliability of our AI-generated insights. We employ rigorous verification methods, including:

• Manual Interviews and Surveys
• A/B Testing
• Real-World Data Comparison

This ensures our clients can trust the insights delivered by Synthetic Echo. By incorporating this step, we address the “how do you know it’s authentic?” question, strengthening confidence in AI-driven research.