Building AI-Driven Efficiency: How We Helped TalentNeuron Transform Client Engagement and Research Workflows

At TangoCode, we specialize in creating custom software that delivers measurable business value. When TalentNeuron — a leading labor market analytics provider — came to us, they were looking to improve both how they interact with clients and how their research team processes large, complex datasets.

We partnered to build two separate applications that addressed these needs head-on: a client-facing intake platform and a fully automated AI-powered research tool.

1. Client-Facing Intake Platform

TalentNeuron works with organizations worldwide, providing insights into labor market trends, talent availability, and workforce planning. Their teams needed a way to centralize client information, streamline intake, and ensure seamless access to tools and data.

We developed a secure, Salesforce-integrated platform where client-facing teams could:

• Collect and organize all client data in one place
  
  
• Integrate with multiple internal systems for a unified view of the customer
  
  
• Enable single sign-on (SSO) so clients could access reports, dashboards, and communication tools from one portal
  
  

By consolidating data and simplifying access, the platform allowed TalentNeuron’s customers to see real-time updates of requests, timelines of task completions, and access reports on their KPIs in a single, secure location. Overall, this new platform has been a massive lift for the overall customer experience.

2. AI-Powered Research Automation Platform

The Challenge
Before our work together, TalentNeuron’s research team relied on manual processes to gather, clean, and analyze labor market data from multiple sources. This was slow, error-prone, and a major bottleneck, with report production taking 5-8 days on average.

Our Solution
We built an end-to-end Web Research Automation Platform that:

• Scrapes relevant data from multiple sources, including internal platforms
  
  
• Cleans, consolidates, and normalizes datasets for consistency
  
  
• Automates business logic into a single, uniform methodology
  
  
• Leverages GenAI to extract keywords from job descriptions, augment data, and generate “nearby roles” automatically
  
  

The Results
With the first phase of our intelligent data processing model in place, TalentNeuron reduced report production time from 5-8 days to just 1.5 hours.

• Reports are now standardized and error-free
  
  
• Researchers spend more time on high-value analysis instead of repetitive data gathering
  
  
• AI-driven processing allows the platform to handle high volumes of data with speed and accuracy
  
  

Value Delivered

By delivering these two applications, we helped TalentNeuron:

• Improve client experience through a seamless, integrated intake process
  
  
• Reduce operational bottlenecks in their research workflow
  
  
• Leverage AI for predictive insights and faster time-to-value
  
  
• Standardize processes for greater accuracy and scalability
  
  

TalentNeuron can now deliver labor market insights faster and more reliably — helping their clients make data-backed workforce decisions in real time.