9 Years of Manual Research. Now Done in Hours.

Hill & Co manages relationships with 20,000+ diamond and gemstone businesses. Their entire operation depends on finding the right decision-maker inside those companies. The problem was simple to describe and brutal to live with: their team had spent nine years manually researching contacts.

Nine years. That is not an exaggeration. It is what it took to build an initial contact database through pure manual effort across LinkedIn, Google, and internal sources. Months of work per prospect. Data going stale within weeks. Every contact required re-verification. The team could not scale because they were trapped in research mode, unable to spend time actually closing deals. Growth was capped not by market demand, but by how fast humans could manually dig through databases.

• Nine years of cumulative manual research: to build an initial dataset of 8,000 contacts

• Months per contact: from first search to verified decision-maker in the database

• Rapid data decay: contacts went stale within weeks, forcing constant re-verification across the entire dataset

• No path to scale: adding coverage to new geographies meant months of additional manual work with no shortcut available

Cogent Labs did not start by building. The first step was diagnosis. The question was not how to automate research, but what was actually taking the time in research and what it would take to eliminate it entirely.

The answer was a custom AI agent that handles the full pipeline: sourcing verified company profiles, identifying decision-makers, validating and enriching records, and refreshing data continuously. No humans in the loop. No pilots. No months of integration. A system built specifically for this workflow, deployed and working from day one.

• Automated Sourcing: pulls verified company profiles from industry databases, regulatory filings, and web sources. No guessing. Every company is real and current.

• Decision-Maker Identification: finds the right contact by role, location, and likelihood to engage. Skips dead-end records. Targets the people who actually buy.

• Continuous Validation: verifies contact information across multiple sources, marks stale data, and keeps records fresh automatically, 24 hours a day, without human review.

• Geographic Scale: works across geographies and verticals without configuration changes. The same system covers new markets. No rebuild, no downtime, no overhead.

Nine years of accumulated research is now repeatable in hours. New geographies that would have required months of work can be added in days. The team is no longer bottlenecked.

• 9-year research cycle compressed to hours of processing time on demand

• 20,000+ companies processed and continuously refreshed without human intervention

• New geographies added in days instead of months of manual research

• Team freed to sell instead of spending time in researcher mode

• No headcount added. No rebuilding required. Same team, dramatically more output.

• Data quality sustained through automated re-verification, with no stale records reaching the sales team

Hill & Co did not just reduce a bottleneck. They turned their biggest operational constraint into a competitive asset. The knowledge their team spent nine years accumulating now runs without them in the loop.

This is what Cogent Labs does. We take the knowledge your team has spent years accumulating and turn it into a system that works at scale without them in the loop.

It is not automation theatre. It is not a pilot. It is a custom AI agent built specifically for your systems, your data, and your workflow, deployed and working from day one.

The client spent nine years learning how to find decision-makers in a complex, fragmented market. Now that knowledge is a system that scales without anyone in the loop. That is what the right system makes possible.