aKube.ai
Manufacturing Intelligence

Drawing-to-quote automation for industrial manufacturing.

Turn drawings and RFQs into accurate quote drafts in hours. Scale your quoting volume without adding engineering headcount.

Quoting slows down when engineering knowledge is manual.

Manual interpretation of technical drawings and specs creates bottlenecks. Response times suffer, and engineering focus is lost on repetitive data entry.

The Cost of Slow

  • Lost deals due to slow RFQ response times
  • Inconsistent quoting across internal experts
  • Expert burnout from low-value data entry

From Technical Drawings to Quotes in One Workflow.

aKube reads drawings and RFQs, extracts key manufacturing parameters, and creates quote-ready outputs while keeping engineers in control.

Drawing Extraction

Instantly extract dimensions, tolerances, and materials from PDF or CAD files.

Logic Application

Automate technical requirement mapping against your business and engineering rules.

Quote Ready Outputs

Generate structured technical data ready for your pricing engine or ERP.

Move from days to hours.

The Manual Bottleneck

Engineering Effort3 - 4 Hours
Calendar Time3 - 4 Days
DocumentationManual Extraction

The aKube Advantage

Engineering Effort< 30 Minutes
Calendar TimeA few hours
DocumentationAutomated Intelligence

Built for drawing-based workflows.

aKube combines automated precision with human expertise to ensure every quote meets your internal engineering rigor without the manual overhead.

Technical drawing parameter extraction
RFQ requirement interpretation
Applied business and engineering logic
Human-in-the-loop expert validation
Institutional knowledge capture
Multi-format support (PDF, CAD, Images)

Who we help

Custom Fabrication

Quote complex assemblies with higher precision and speed.

Precision Machining

Extract tolerances and material specs instantly from drawings.

Industrial Systems

Scale RFQ volume for complex, technical build-to-print requirements.

300%

Increase in RFQ Throughput

90%

Reduction in Manual Effort

3H

Effort Saved per RFQ

Cosmos Case Study

Cosmos: Design-to-proposal automation.

Cosmos is a CNC machine tools and precision manufacturing company responding to a high volume of customer RFQs. Each RFQ includes multiple drawings and custom requirements, requiring engineering review before pricing and proposal creation.

The Challenge

Before aKube, Cosmos relied on a manual, engineer-driven process to interpret customer drawings, create technical requirement reports, build pricing spreadsheets, and assemble final proposals. The process was time-consuming, inconsistent, and heavily dependent on senior engineering expertise.

Engineering effort per RFQ
3-4 hoursUnder 30 min
Calendar time to respond
3-4 daysA few hours

How aKube Solved It

aKube implemented a Design-to-Proposal Automation workflow tailored to Cosmos' manufacturing and business logic using its Adaptive Knowledge-Augmented Generation framework.

1Business data uploaded, including pricing, discounts, and templates
2Engineering logic derived from sample drawings, technical specifications, and guidance
3New prospect drawings and requirements ingested automatically
4Technical requirement reports generated with 30-40 line items
5Pricing-ready inputs and formatted PDF proposal produced
6Engineers review and approve before sending