First Solar took roughly 20 years and 8,000 people to become a CdTe-solar leader. BCP's target is comparable scale with a fraction of the people — with an agentic AI layer doing the work that used to need thousands. This page is the roadmap.
Designed and built with Zerus AI, BCP's long-term technology partner — full technical roadmap at zerus.ai/bcp.
First Solar and BCP build on the same CdTe thin-film chemistry — so the benchmark is real. The difference is the operating model: BCP distributes proven OEM glass and operates energy assets, with AI doing the work that used to need thousands of people.
Productivity figures are 2024 estimates benchmarked to First Solar; the “1,000 people / 10 years” figure is BCP's target, not a guarantee. The point isn't replacing factory workers — heavy fabrication sits with BCP's OEM. AI replaces the white-collar and operations layer a fast-scaling company would otherwise have to hire.
BCP's digital platform, product positioning and the AI systems roadmap — the foundation everything else installs into.
Lead qualification, module quoting, project intake and proposal drafting — the early wins that lift revenue while the team stays small.
Procurement, ERP, logistics, manufacturing intelligence and energy-asset operations — phased with BCP's physical buildout.
The instant estimator below is a working front-end concept from the go-to-market layer — the math is real, from BCP's published module figures; the AI analysis is a labelled sample.
Your estimate will appear here.
Fill in the details and press Calculate.
Capacity and yield scale from the same figures shown on our module pages — so the estimate stays consistent with the product.
Solar yield, electricity price and grid-emissions factors are adjusted for each Canadian province and territory.
The AI analysis shown above is an illustrative sample. The production AI service — plain-language analysis in English or 中文 — is planned with our technology partner Zerus AI as part of the funded roadmap.
Not nine point tools — one layer of cooperating agents running BCP's workflows, with people supervising instead of executing. Here's what the layer will do as it comes online, and how Zerus AI delivers each piece.
Sourcing, RFQs and customs paperwork across a dozen cross-border suppliers — quotes normalized across currencies and incoterms, landed cost optimized, compliance docs auto-generated.
Zerus AI delivers — procurement agents built on BCP's supplier data. The first, highest-ROI phase.
Bookkeeping, reconciliation, AP/AR, multi-entity consolidation and a live executive dashboard — the back office a lean, fast-scaling company shouldn't have to hire.
Zerus AI delivers — agents wired into accounting and inventory, so the books stay closed in near-real-time.
Demand forecasting and inventory positioning across 6 hubs and 25 branches, container tracking and just-in-time replenishment — holding the 7-day delivery promise without overstock.
Zerus AI delivers — logistics agents that roll out as the network is built, so distribution scales without proportional headcount.
Lead qualification and routing, automated module quoting, a project-registration deal-protection system and reseller enablement — multilingual, around the clock.
Zerus AI delivers — sales agents trained on BCP's modules, pricing and bilingual market. Preview one front end in the demo above.
Site assessment, energy-yield modeling, module layout and bill-of-materials, code-compliance checks and auto-drafted grant and incentive applications.
Zerus AI delivers — a project-development copilot that turns a site address into a costed design, a permit package and a draft grant application.
Navigating CSA — the gating step for Canadian sales — by assembling test evidence, running gap analysis and tracking every requirement across products and authorities.
Zerus AI delivers — a certification dossier and requirement matrix kept continuously current, so the gating dependency moves as fast as it can.
Production scheduling, computer-vision quality inspection, predictive maintenance and recycling-stream sorting — keeping the planned Alberta assembly lines lean.
Zerus AI delivers — vision-inspection and predictive-maintenance models brought online as the Alberta plants come up. A later phase tied to physical buildout.
A virtual power plant across the owned fleet: real-time monitoring, predictive maintenance, market dispatch and closed-loop control of the greenhouse ⇄ data-centre heat loop.
Zerus AI delivers — fleet operations as BCP shifts from selling modules to owning assets, where “fewer people, higher margins” pays off most.
Multilingual content and localization, a concept-video pipeline, and an always-current investor data room with financial and ESG reporting.
Zerus AI delivers — productized content and IR workflows so a tiny team can sustain a national brand and an investor-grade data room.
Roadmap, stated plainly. These capabilities describe the operating layer Zerus AI and BCP are building together. Phases ship as BCP's products, plants and asset fleet come online — this is the build plan, not a list of deployed systems.
Zerus AI is building the agentic layer and will operate it as it comes online — building alongside BCP as it scales. The bigger the asset base grows, the more the AI runs, and the deeper the partnership compounds.
“More infrastructure, fewer employees, higher margins” is a slide until something runs it. Zerus AI turns it into operating reality — directly backing BCP's capital raises.
Every project, quote and asset-hour deepens the data the agents are built on — an operating advantage competitors can't simply copy.
Start with the highest-ROI agents — procurement, quoting, grant drafting, ERP — then logistics and project development, then asset operations as the owned fleet grows.
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