Quid Monitor leverages extensive consumer and market intelligence data to help users track brand health, analyze customer sentiment, and refine campaigns. It enables the identification of social advocates and detractors, validates product ideas through market exploration, detects potential crises, and provides insights to guide marketing and product strategies. By enhancing audience understanding, it supports efforts to improve customer loyalty, boost brand reputation, and drive growth.
Quid Monitor leverages extensive consumer and market intelligence data to help users track brand health, analyze customer sentiment, and refine campaigns. It enables the identification of social advocates and detractors, validates product ideas through market exploration, detects potential crises, and provides insights to guide marketing and product strategies. By enhancing audience understanding, it supports efforts to improve customer loyalty, boost brand reputation, and drive growth.
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Quid Compete offers a clear, panoramic view of the digital impact of users’ social media and content marketing strategies. By comparing performance and market position with competitors, users can identify effective tactics and areas for optimization.
Quid Connect provides a robust relational database solution, giving users direct access to real-time, consolidated data from millions of sources, including consumer, news, and market data. It supports advanced analytics, querying, and custom metrics, while enabling users to blend internal data with Quid data for enhanced insights.
Quid AI leverages advanced large language models (LLMs) and cutting-edge technologies to deliver powerful AI-driven capabilities.
SUPPORTED LLMS
Quid supports a variety of LLMs, including Llama 3-8b, Zephyr-7b-beta, Mistral-8x7b, Mistral-7b, OpenAI-o1, and Anthropic Claude 3.5. The system is designed with heterogeneity in mind, maintaining compatibility across tools to allow Quid engineers to seamlessly switch between commercial and in-house LLMs for both prototyping and production deployment.
INFERENCE ENGINE
Quid has developed an in-house adaptive system that dynamically selects between vLLM and TGI inference engines, depending on the task's requirements. The system also allows for dynamic provisioning that scales inference nodes across multiple cloud regions to maximize availability and cost efficiency.
QUANTIZATION TECHNIQUES
Quid employs GPTQ with Marlin kernel for quantization, optimizing inference speed without compromising accuracy.
FINE TUNING
Quid utilizes the PEFT library and QLoRA to achieve performance comparable to fully fine-tuned models, with reduced computational costs and VRAM usage.
APPLICATION OF LLMS
Quid AI applies LLMs across various use cases, including:
Workflow Agents are configured with specific arguments and executed within the Quid computing environment for specialized tasks. Users define how workflows are executed by filling out configurations, which include workflow arguments and scheduling requirements. Each configuration operates independently.
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The Conversational Agent, Ask Q, is a Generative AI-driven chat solution designed to make data insights more accessible. Built for both novice and advanced users, Ask Q employs topic-adaptive retrieval-augmented generation (RAG) to deliver accurate, hallucination-free responses. Its interactive conversational interface offers transparency in query processes, allowing users to understand and trust the insights it provides.
WORKSPACE SETUP (FREE-FORM CANVAS)
Provides a flexible workspace for assembling and customizing data insights, notes, and templates.
DATA CONFIGURATION BY INTERNAL USERS
Allows internal users to configure data sources, filters, and prompt templates tailored to use cases.
PRE-DEFINED WORKFLOWS WITH CUSTOMIZABLE TEMPLATES
Supports commonly-used workflows with visualizations and prompts for various briefs.
"ASK QUID" FEATURE WITH FEEDBACK LOOP
Integrated chatbot allows users to ask questions and request insights. Feedback loop refines answers over time.
PUBLISHING AND SHARING
Provides multiple options to publish, export, or share content externally.
Design, develop, and maintain scalable tools and infrastructure capable of processing and analyzing billions of data points efficiently. These systems enable the seamless extraction of insights from vast datasets, supporting advanced analytics and empowering businesses with actionable insights.
Acquire, refine, and generate both historical and real-time clean datasets. By enriching raw data through advanced processing techniques, we ensure its accuracy, consistency, and readiness for analysis, enabling meaningful insights and supporting informed decision-making across various applications..
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Skilled experts who map real-world complexities onto data, tailoring models to reflect each customer’s unique context. By aligning data structures with specific business environments, they ensure insights are actionable, relevant, and capable of driving impactful outcomes tailored to customer needs.
Subject matter experts who extract meaningful insights and enrich them with context, ensuring they are actionable and aligned with consumer trends. Their expertise bridges the gap between raw data and practical application, empowering businesses to effectively respond to evolving market demands and drive impactful results.
