Quick answer. If your company owns proprietary data, licensed data, deep domain expertise, or access to public sources that are hard to mine, you own the raw material for a product your clients would pay for. Agentic Consulting defines the product, builds the first version, and stands up the capability to sell it. The build that used to take a year and a budget you could not justify now takes a fraction of both.
Share what your company owns and who might pay for what it could become. Nick will read it personally and respond within one business day.
We built a federal appropriations intelligence system in six weeks. It recovered more than sixty hours of senior staff time each month and surfaced more than one hundred and fifty qualified leads in a single month. It runs on public source data, so nothing waited on a licensing negotiation or a security review. See the case study for the full outcome.
If your company sits on data, expertise, or access, you are sitting on a product. The barrier was the cost and the time to build it, and the lack of a team that could carry it from concept to something a client will pay for. That barrier has changed. The build that used to take a year and a budget you could not justify now takes a fraction of both.
We are data and measurement people who have built machine intelligence into production for more than thirty years, across statistical modeling, machine learning, natural language processing, computer vision, and now large language model based agents. The data comes first. The product is what makes it pay.
Data and market intelligence companies. Industry associations and membership organizations. Government relations and government affairs firms. Media monitoring companies. Managed service providers and vertical software companies. Private equity firms with portfolios that share a data asset. The common thread is an asset that could be a product and the will to monetize it.
Any company that owns an asset others would pay to access. Proprietary or licensed data, deep domain expertise, or the ability to mine public sources that are hard to track by hand. Data companies, associations, government relations firms, media monitoring companies, managed service providers, vertical software companies, and private equity portfolios are common fits.
Public sources carry no licensing dispute and clear no security review, which makes them the fastest way to prove a product and a market. Government source monitoring, covering hearings, appropriations, earmarks, and agency activity, is a clear example of a public asset that is valuable, fragmented, and painful to track manually.
The rest of the practice makes an existing internal AI investment pay off. This builds a new product you sell to your own customers. The first is a cost and productivity question. This is a revenue question. The two share the same thirty year foundation in data and measurement, and they start through different doors.
Last updated 2026-07-21