Build a Product

Build and monetize AI and data products from the assets you already own.

Quick answer. Agentic Consulting builds and monetizes AI and data products with companies that own the raw material. If you hold proprietary data, licensed data, deep domain expertise, or access to public sources that are hard to mine, we define the product, build the first version, and stand up the capability to sell it. We often start on public domain data, where no security review blocks the work.

Most AI consulting makes your internal operations more efficient. This is different. This turns an asset you already own into a product your clients pay for.

The opportunity

The opportunity most asset owners miss.

If your company sits on data, expertise, or access, you are sitting on a product. The barrier was never the idea. It 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 over thirty years, across statistical modeling, machine learning, natural language processing, computer vision, and now LLM based agents. The data comes first. The product is what makes it pay.

What we build

What we build.

A defined product, not a demo. We start with the asset and the buyer. We define what the product is, who pays for it, and why it is worth more than what they have today. Then we build the first version and prove it with real users.

Often on public domain data first. Public sources carry no licensing fight and clear no security review, which makes them the fastest way to prove a product and a market. Government source monitoring is a clear example. Hearings, appropriations, earmarks, and agency activity are public, fragmented, and painful to track by hand. We turn them into personalized intelligence for a firm and its clients, with citations, at a fraction of the cost of the incumbent data services.

The capability to sell it, not just ship it. A product that nobody can position, price, and defend is not an asset. We build the go to market underneath it so the product produces revenue, not just activity.

Who this is for

Who this is for.

Companies that own raw material and want new revenue from it. 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.

From product to product line

When the product becomes a product line.

A company that proves one product often wants several. When that is the goal, we stand up the capability to run a line of products your clients subscribe to, built on your data and your expertise, monetized as a recurring business. That is the upgrade path, not the starting point. We prove one product first.

How this starts

How this starts.

A direct conversation. Tell us what asset you own and who might pay for what it could become. We will tell you honestly whether there is a product there and what the first version would take. This is not the standard diagnostic call. It is a conversation about building something new.

Frequently asked questions

About building a product.

What kinds of companies can build a product this way?

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.

Why start with public domain data?

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.

How is this different from the rest of what Agentic Consulting does?

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.

Next step

Start a conversation.

Tell us what asset you own and who might pay for what it could become. We will tell you honestly whether there is a product there.

Start a conversation

Last updated 2026-06-04