Physical production for AI agents.
Give AI agents and software platforms a machine-readable path from intent to quote to payment to production, fulfillment, and tracking.
Spec. Quote. Pay. Produce. Fulfill. Track.
Founded 1996 · 77,000 sq. ft. Toronto, Ontario facility · 11 production categories · MCP and REST · North America
order: ord_9f3e... status: QUOTED spec: productLine: printOnDemand sku: blankets/50x60-fleece quantity: 25 finish: [none] turnaround: standard shipTo: Toronto, ON quote: total: 187.50 USDC expiry: 2026-11-01T20:54:31Z
Software is structured. Physical production is not.
Unstructured specifications
Every product carries different sizes, stocks, finishes, tolerances, artwork rules, and turnaround constraints.
Manual commercial workflows
Complex jobs often require quote threads, purchase orders, preflight checks, approvals, and vendor coordination.
Disconnected production status
Software platforms lack one normalized view of quote, approval, production, shipment, and exception states.
One interface from request to shipment.
- 01
Spec
Submit product, quantity, dimensions, material, finish, deadline, destination, and artwork through MCP or REST.
- 02
Quote
Validate the specification and return a system-priced response. Never invent a price or SKU.
- 03
Approve and pay
Approve the order and receive settlement instructions through the supported payment rail.
- 04
Produce
Route the approved job into the correct production workflow, with human review for exceptions.
- 05
Track
Return normalized status events from confirmation through production and shipment.
Commercial capability behind the API.
Commercial print
Assisted workflowOffset and digital sheet work for brand, event, and campaign materials.
Packaging
Assisted workflowCorrugated and folding carton packaging with die-line and structural review.
Direct mail
Assisted workflowVariable-data mailers with postal optimization and list handling.
Promotional products
API-readyDye-sublimation, apparel, and decorated merchandise through POD and wide-format workflows.
Wide format
Assisted workflowPosters, banners, signage, and environmental graphics.
Books and binding
Assisted workflowSaddle-stitch, perfect-bind, spiral, and case-bound editions.
Print on demand
API-readyOn-demand SKU catalog with deterministic base-pricing.
Finishing and embellishments
Assisted workflowFoil, emboss, spot UV, die-cutting, and specialty coatings.
Wall décor
API-readyCanvas, framed prints, and wall-mounted decor.
Photo lab
API-readyPhoto products and gallery-quality output.
Fulfillment and kitting
PlannedPick, pack, kit, and ship tied to production orders.
Software on top of a real production floor.
Advertek is not starting with a marketplace or a catalog mockup. Agent Rail sits on decades of commercial manufacturing experience and an operating Toronto facility. The first production node gives the software team direct access to pricing logic, artwork constraints, manufacturing exceptions, and job-performance data.
- Real production capacity
- In-house category breadth
- Existing customer workflows
- Direct access to production knowledge
- Controlled environment for testing agent-driven orders
Built for systems managing repeat physical output.
Agencies and creative operations
Fewer quote threads, repeatable specs, and one place to track every job.
Read the use case →AI agent and workflow platforms
Software can order and track physical output the same way it calls any other service.
Read the use case →Multi-location brands and franchises
Controlled local ordering, consolidated reporting, and consistent output.
Read the use case →Built to be called, not emailed.
Agent Rail exposes catalog, quote, order, status, and webhook interfaces through MCP and REST. Examples use the real schema; no fields are invented.
GET /api/catalog HTTP/1.1
Host: www.advertek.io
Accept: application/jsonHTTP/1.1 200 OK
Content-Type: application/json
{
"ok": true,
"productLines": ["offset", "digital", "wideFormat", ...],
"podCategories": [...],
"demoPricing": true
}One production node first. A qualified network next.
Advertek is proving the system against its own operating facility. The longer-term platform direction is to route jobs to qualified production endpoints based on capability, geography, capacity, cost, service level, and performance history.
Give your software a route into physical production.
Tell us what your agent or platform needs to produce. We will assess product fit, workflow, volume, integration, and pilot scope.