01 / INPUT
Customer context
RFPs, emails, specs, photos, calls.
AI pre-engineering for robotic system integrators
From customer request to robot cell concept—in hours, not days.
Magic Blocks turns RFPs, emails, specs, and customer conversations into structured requirements, solution concepts, layouts, and component recommendations—without starting from a blank page.
BUILT FOR APPLICATIONS & SALES ENGINEERING TEAMS
PROJECT CONCEPT / 001REV 01
CELL LAYOUT
FEASIBILITY ALERTRobot reach at outfeed edge is 96% of max.
The opportunity gap
The hardest part of automation starts before engineering.
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.
02 / STRUCTURE
Requirements
Constraints, open questions, priorities.
03 / EXPLORE
Concept
Viable approaches and clear tradeoffs.
04 / EVALUATE
Layout & proposal
A credible starting point for review.
The product
Your AI engineering partner, from first conversation to concept.
Bring the early stages of automation engineering into one workspace—without losing the decisions and details behind the design.
01
Capture the requirements
Upload customer context. Magic Blocks extracts part dimensions, throughput, handling requirements, constraints, existing equipment, and the details still missing.
02
Explore the solution
Evaluate different automation approaches across throughput, cost, footprint, equipment, and operational constraints. Compare tradeoffs—not just one answer.
03
Design the cell
Generate conceptual layouts that make material flow, robot reach, operator interaction, safety zones, and interfaces easy to evaluate early.
04
Build from what you know
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.
Respond faster
Turn inbound opportunities into credible concepts while they are still hot.
Evaluate more
Explore projects that would otherwise consume too much engineering time.
Standardize pre-engineering
Put the team’s accumulated knowledge into every project.
Catch problems earlier
Surface reach, throughput, and requirement gaps before detailed engineering.
In the workspace
It doesn’t just generate a design. It reasons through the application.
Every concept remains connected to its source requirements, assumptions, and the decisions that led there.
01 / UNDERSTAND
Project details
Turn unstructured information into requirements, constraints, throughput targets, and open questions.
02 / DEVELOP
Solution design
Evaluate different automation approaches and make tradeoffs visible to the whole team.
03 / VISUALIZE
Cell layout
Move from written concept to a spatial layout your team can review with engineering and customers.
A new layer
Not another chatbot. Not another CAD tool.
Magic Blocks sits between sales and detailed engineering, giving engineers a better starting point—not trying to replace them.
Traditional workflow
Customer→Applications→Research→Design→Engineering review→Proposal
With Magic Blocks
Customer→Magic Blocks→Concept→Engineering review→Proposal
Your knowledge
Every project makes the next one smarter.
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.
- Old proposals
- CAD files
- Spreadsheets & BOMs
- Supplier catalogs
- Project folders
- Engineering experience
Magic Blocks
The next automation project shouldn’t start from scratch.
Give your team an AI that understands how robotic cells are actually designed.
See Magic Blocks in action ↗