Customer context
RFPs, emails, specs, photos, calls.
Magic Blocks turns RFPs, emails, specs, and customer conversations into structured requirements, solution concepts, layouts, and component recommendations — so you never start from a blank page.
A customer sends an email, a PDF, then a spreadsheet. An applications engineer has to turn the noise into a solution—often while the opportunity is getting colder.
RFPs, emails, specs, photos, calls.
Constraints, open questions, priorities.
Viable approaches and clear tradeoffs.
A credible starting point for review.
Bring the early stages of automation engineering into one workspace—without losing the decisions and details behind the design.
Upload customer context. Magic Blocks extracts part dimensions, throughput, handling requirements, constraints, existing equipment, and the details still missing.
Evaluate different automation approaches across throughput, cost, footprint, equipment, and operational constraints. Compare tradeoffs—not just one answer.
Generate conceptual layouts that make material flow, robot reach, operator interaction, safety zones, and interfaces easy to evaluate early.
Find components that fit the application and reuse your team’s proven knowledge—robots, conveyors, tooling, sensors, and suppliers.
Spend less time figuring out the answer. Spend more time winning the job.
Turn inbound opportunities into credible concepts while they're still hot.
Take on projects that used to cost too much engineering time to explore.
Put your team's hard-won knowledge into every project.
Surface reach, throughput, and requirement gaps before detailed engineering begins.
Magic Blocks surfaces the constraints, tradeoffs, and feasibility questions that shape an automation solution. Your team can explore the design space before committing to an architecture.
Throughput, part geometry, existing equipment, operator constraints, and the details that can make or break a cell.
Compare approaches across cycle time, footprint, equipment, cost, and operational constraints.
Pressure-test the concept against reach, material flow, interfaces, and other physical constraints before detailed engineering begins.
Magic Blocks sits between sales and detailed engineering, giving engineers a better starting point—not trying to replace them.
Your team has spent years learning which robots work, which components you trust, and which designs actually make it into production. Magic Blocks turns that institutional knowledge into an active engineering resource.
Give your team an AI that understands how robotic cells are actually designed.
See Magic Blocks in action ↗