The Question
There's a question every operator in industrial materials is asking themselves right now, even if they haven't said it out loud:
What is AI actually going to do for my business?
Not in five years. Not in some abstract future. This year. Next quarter. On Monday.
What we've come to believe, deeply, is that the AI products that actually move the needle for industrial materials companies will look very different from the ones that get the most attention.
Dennis spent nearly a decade as Chief Revenue Officer of Procore, helping it grow from a small construction software company into the operating system of an industry. He's seen this movie before, in a different industry, with a different generation of technology. The pattern, we think, is going to repeat. Dennis puts it this way:
"At Procore, what worked was relentless focus on the product and staying ahead of where the industry was headed. That's how you create real value for customers, and it's how you compound it over time. Emanate has bounds and bounds of this discipline. It's why I'm confident in this team and excited to be working with them."
AI Models
Here's what we've learned.
The model is not the moat.
AI capabilities are changing every week. The frontier model that was state of the art six months ago has already been surpassed. Anyone who builds their company on top of "we have the best model" is building on sand. The model layer will keep getting better, and that's good. But it isn't where durable value gets created.
The moat is in how deeply a product wraps around a specific customer's workflow. That part doesn't change every week. The way an industrial materials company quotes a job, prices a coil, expands a key account, brings back a customer who hasn't ordered in eighteen months, integrates with their ERP, manages inbound RFQs, runs outbound prospecting, navigates a thirty-year relationship with a buyer who calls instead of emails. That's the work. And the way that work happens in your industry doesn't shift on the same timeline as model releases. It shifts on the timeline of how your industry actually operates.
That's where we've been spending our time. Not chasing the latest model. Wrapping ourselves so deeply around how revenue actually happens in this industry that the product becomes structurally hard for anyone else to replicate.
Affordance
The second thing we've learned is that raw AI doesn't help most people.
A blank chat window is not a product. It's a tool that requires the user to know exactly what to ask, in what order, with what context. Most operators in industrial materials don't have time for that, and they shouldn't have to. The work is too complex and too important to be handled with a generic prompt.
What actually helps is a product that's been designed so specifically for the job that using it feels obvious. The right thing to do is the easiest thing to do. The system already knows what context to pull, what the buyer's history looks like, which mill the order is going through, what the margin profile of the account is, where the bottleneck has been on past quotes. The operator doesn't have to ask for any of that. It's already there.
The best AI for industrial materials, in our view, doesn't ask the user to figure out how to use it. It meets them where they already are. Dennis frames it directly:
"Affordance is what separates AI products that get used from AI products that get talked about. The best technology in the world doesn't matter if the user has to figure out how to apply it. What I see Emanate doing, designing the product so the right action is the obvious action and staying laser-focused on revenue uplift, is exactly what makes a product land."
Persistence
The third thing we've learned is the most underrated.
Real value doesn't come from what AI can do in a demo. It comes from what AI does in production, every day, across every account, on every cycle, without anyone having to babysit it.
That requires persistence. An agent that doesn't just respond to a single prompt and stop, but stays on task. That picks up where it left off. That iterates when something doesn't work. That handles the long, messy, multi-step work of revenue, all the way from finding a new account to closing a deal to keeping that customer for the next decade.
That's where we've put a tremendous amount of engineering. Not the surface of the product. The persistence layer underneath it. The system that keeps the work moving, across days and weeks and months, with the kind of reliability that an industrial materials company actually needs.
What We're Building
We ship fast. We move fast. We're driven to outcomes.
We're clear on what we're building toward.
A revenue engine that handles the full cycle, not just one slice of it. Outbound. Inbound. Nurture. Expansion. Win-backs. Pricing. The deep ERP integrations that make any of it real. Built specifically for industrial materials. Wrapped tightly around how the work actually happens. Designed so the product feels obvious to use. Engineered to keep working in the background, every day, without supervision.
We're building, and we're building fast, for an industry that we know can move fast, alongside the operators who run it, in service of the companies that build the world.
— Kiara Nirghin, Founder & CEO, Emanate
— Dennis Lyandres, Strategic Advisor, Emanate
