Draup knows a job title can hide a thousand jobs.

A job description is a peculiar document. It can survive several managers, a software migration and an entirely different way of working. At a global beverage company, Draup found a practical remedy: connect a skills-intelligence feed to the employer’s job taxonomy, automate quarterly updates and send the revised descriptions into Workday. The document would finally have to keep up with the job.

The job description was the first thing to go stale

Draup’s anonymized beverage-company case study describes manual updates and outdated skill requirements. The intervention was wonderfully unglamorous: standardize the vocabulary, connect the data, refresh the content. It reports less manual recruiter work and better alignment with market skills. The lesson is specific enough to borrow: give job descriptions an owner, a refresh cycle and a connection to external evidence.

That is a useful entrance to Draup, an enterprise software company serving HR and sales teams. Its expertise sits where labor-market research, business intelligence and technology analysis meet. A hiring signal can tell a workforce planner which skills competitors want. The same signal can tell a seller where a customer is investing. Two departments, one revealing clue.

Two founders with a consulting habit

Vijay Swaminathan and Vamsee Tirukkala had already co-founded consulting firm Zinnov and talent-data business TalentNeuron. They launched Draup in 2017, carrying the habits of advisers into software. In a 2020 company feature, they described the opportunity as bringing technology-led delivery to consulting research. Their experience supplied the questions; machine learning and researchers supplied a way to answer them repeatedly.

Vijay Swaminathan
Co-founder & CEO

Vamsee Tirukkala
Co-founder & CCO

The company was self-funded when that feature appeared. Pricing, team building and finding scalable models were among the challenges the founders named. Swaminathan offered an admirably modest admission: “There is no template of best practices.” In March 2022, Draup announced its first institutional financing: $20 million led by HKW, intended for product development, customer experience and expansion.

The talent hiding off the usual map

At PayPal, the question was how to understand skills deeply enough to improve workforce planning. Draup’s customer account describes richer skill-level analysis and more accessible reporting. Sam Fletcher, its former Head of Talent Intelligence, says the Ecosystem feature “significantly reduces our research time.” The benefit is an analyst’s benefit: less assembling a picture, more interpreting it.

Intuit’s problem had a geographical dimension. Draup says its work covered more than 30 countries, comparing talent availability, living costs and market saturation alongside diversity insights. Intuit’s Jennifer Basdekis credits the intelligence with opening locations the team had not previously considered. Here, the evidence changed the shortlist.

A familiar city can be a comforting answer to a question nobody has properly asked.

These examples explain the buyer: an enterprise with enough roles, regions and competitors to make manual research expensive. A September 2026 joint announcement put Draup’s customer base above 300 global enterprises, including five of the Fortune 10. Those are reported customer counts, rather than a measure of how many employees use the software each day.

A conversation, then a microscope

Curie, launched in July 2025, puts workforce research into a natural-language interface. Teams can investigate hiring locations, compensation, emerging skills and reskilling paths. Its current Deep Research mode tackles questions requiring several kinds of evidence. The change is in the route to the answer: a conversation can begin where a dashboard once demanded a succession of filters.

Etter, launched the month before, examines the work itself. It reads job descriptions, process maps and task lists, compares them with operational work, then evaluates AI’s potential to automate or augment particular tasks. Leaders can model changes to cost, capacity and headcount before choosing a sequence of redesign, reskilling or hiring.

The important distinction is between changing a task and removing a person. Draup’s hidden-work research examines documentation, validation and coordination that job descriptions omit. If those activities disappear from the inventory, the economic calculation begins with an incomplete job. A tidy percentage will not repair that omission.

The same evidence, a different buyer

On the sales side, Draup’s agents handle account intelligence, buyer identification, competitive analysis and commercial planning. Their raw material includes business priorities, technology footprints and spending signals. The aim is a researched reason to approach an account, rather than another name to add to a list.

Delivery is becoming part of the proposition. Draup provides intelligence inside Microsoft Teams and Microsoft 365 Copilot; in July 2026 it announced account research for Dynamics 365 Sales Qualification Agent through MCP. The research can travel into a seller’s existing workflow. HR teams similarly receive intelligence through integrations with their people systems.

The market is competitive. TalentNeuron also offers skills, location and labor-market intelligence, and discusses task-level workforce change. Draup’s distinctive proposition is the combination of business context, work analysis and two commercial audiences on one foundation. Buyers should compare the actual decision workflow and data coverage, rather than award points for the word “agent.”

The price of a better question

Draup describes flat-rate enterprise subscriptions with unmetered usage. One published Etter ROI example assumes $200,000 annually and $1.5 million in first-year savings. Those numbers are illustrative inputs, not a universal tariff or measured customer return. Its larger workforce-value projections are models too. Freed capacity becomes valuable only when someone decides what to do with it.

The practical starting point is smaller: choose one workflow, inventory its tasks, establish the cost baseline and test a proposed change. Coverage varies by role and region, compensation includes modeled inputs, and internal work still requires validation. Draup’s own pitch depends on that discipline. Before buying an answer about tomorrow’s workforce, make sure the question describes today’s work.