Case study
Turning Unstructured Data into Strategic Insight
A detailed description of the case study can be found below
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A global consulting firm partnered with New Clarity to analyze how 400 HVAC companies communicate value to their customers.
The goal: uncover patterns in messaging that reveal which aspects of value most influence purchasing decisions, without manually reviewing thousands of web pages.
The client's advisory framework defines six core dimensions of business value. Traditionally, assessing how companies express these values required weeks of manual qualitative analysis.
Our task was to build an automated, AI-driven system that could evaluate hundreds of company websites and produce statistically grounded insights, accurate enough for executive-level presentations and fast enough to deliver inside a week.
New Clarity designed a custom retrieval and evaluation agent powered by OpenAI and Pinecone.
Using a multi-step pipeline built in n8n, we:
The analysis revealed striking clarity:
The partner firm was able to walk into a high-stakes industry event with data-backed storytelling, turning what was once subjective interpretation into an objective, visualized landscape of market messaging.
The system now serves as a template for future large-scale qualitative analyses, extending the firm’s consulting capability through AI.
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Queen Anne Pillow and Moso Pillow are sister companies that provide specialized pillows and other unique bedding products. Both companies were growing quickly, but operations, inventory planning, and retailer outreach relied heavily on manual work that absorbed a large portion of the team’s week.
The AI audit and strategic plan from New Clarity have been extremely valuable for MOSO Pillow and Queen Anne Pillow. It gave us a transparent view of how much time we were losing to manual tasks and how AI could reduce that workload while protecting our Amazon sales and improving our retailer pipeline. The roadmap made it easy to decide what to do first, what to postpone, and how each project fits into the long term vision for the business.
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New Clarity design an AI-powered agent used to monitor real-time news feeds, identify market events likely to trigger stock price movements, estimate the probability of such movements over the next 30 days, and continuously refine its predictive accuracy through feedback-driven machine learning.
The AI stock analysis engine built by New Clarity has given us invaluable insights into our trading strategies and has even improved our offering to clients.
New Clarity designed and implemented a custom Model Context Protocol (MCP) server in Python to streamline one of the financial workflows for a fractional CFO. The solution connected directly to Claude desktop as the LLM client, enabling the AI to intelligently transfer financial data between spreadsheets. This project reduced hours of manual work by automating the matching and population of data fields across models.
New Clarity built a Claude enhancement that automates financial modeling from P&L statements, saving me countless hours of manual data entry.
New Clarity created a custom AI sales agent tailored to guide potential clients through unfamiliar therapies, address their concerns, and convert website interest into real consultations.
Prior to working with New Clarity, our sales conversion rate was low, and we were losing time spent on calls that ultimately did not lead to revenue. Our new AI sales agent has led to an exponential increase in sales-qualified leads, while actually reducing our overall time spent on sales calls.
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