AI without context doesn’t work.
We work with any established business across North America. We don’t sell vertical templates — our method custom-builds agentic systems for each client, whatever the sector.
Generic AI fails exactly where your business is interesting.
Off-the-shelf, industry-in-a-box systems break at the exceptions, the internal policies, and the unwritten rules — the very things that make your operation yours. Templates scale for the vendor, not for the client. We invert the model: every system designed from scratch for a single company.
What a templated approach gets wrong
It ignores your exceptions
The edge cases and judgment calls that define how your business actually runs are exactly what a template can’t hold.
It assumes industry knowledge
Sector experience is asserted, not built — so the system never learns the rules that aren’t written down anywhere.
It optimizes for the vendor
Reuse is what makes templates profitable to sell. That incentive points away from your specific operation.
It bends you to the tool
You end up reshaping how you work to fit the software, instead of the software fitting how you work.
We build with you, not for you.
We apply the best of strategic consulting to agentic engineering. Most AI projects don’t fail on technology — they fail on alignment with the real operation. Before we propose architecture, we learn your business.
Industry-specific immersion
We research your competitors, read the regulation that applies to you, audit your processes, and map the jargon, exceptions, and business rules that make your operation unique.
Co-creation with your experts
Technology does not replace your team’s experience. We work shoulder to shoulder with your subject-matter experts — we bring frontier engineering, you bring the judgment built from years running the business.
Injecting your context
We feed each agent your operating manuals, catalogs, policies, databases, and edge cases. The agent reasons like a colleague with years inside your company, not a generic assistant.
Iterative development and joint validation
Instead of disappearing for six months, we ship early versions for your team to test in real scenarios, then tune tone, accuracy, and safety limits together before anything reaches production.
What it looks like across sectors
Representative examples of how the method translates into different industries. These aren’t prefabricated products — they’re starting points for a conversation.
E-commerce
Conversational support around the clock, contextual product recommendations, cart recovery, and shipment tracking wired into your platform.
What people ask
Do you have prior experience in my industry?+
Our structural advantage isn’t having worked in your sector before — it’s the method we use to understand it in depth before proposing architecture. Discovery exists precisely so industry knowledge is built with rigor in every engagement, not assumed.
Why don’t you have a product line per industry?+
Because generic, industry-in-a-box agentic systems fail exactly where your business is interesting: the exceptions, internal policies, and unwritten rules. Templates scale for the vendor, not the client. We invert that — every system designed from scratch for one company.
How much of discovery goes to understanding the industry?+
Roughly half. The other half goes to understanding your specific operation within that industry, which almost always has particularities no sector research can capture.
What if my industry is heavily regulated?+
That’s critical information we gather at the start of discovery. Governance and traceability are designed with those regulatory requirements as a first-order constraint, not a layer glued on at the end.
Don’t see your industry?
That’s the point — we build for any sector. Tell us how your business runs.