Number of Seats/Users: SDx offers discounts based on the number of users or seats. A higher volume typically leads to a better discount structure, especially for enterprise-level usage.

Commitment to a Long-Term Contract: Discounts are often provided to companies that commit to using the service for a longer period (e.g., 1-year or 3-year contracts). A longer commitment shows SDx that the company is serious and willing to invest in the platform long-term.

No Active Discounts: Companies that are not already receiving other active discounts may have a better chance of qualifying for additional discounts from SDx. SDx reserves discounts for new customers or those not currently under promotional pricing.

Volume or Usage Commitment: SDx offers discounts if you agree to a minimum amount of usage or transaction volume. This could be based on data storage, transactions, or other metrics tied to how much you will use the platform.

Enterprise-Level Negotiation: Companies that qualify as “enterprise” due to their size or complexity (e.g., having large teams, multiple departments, or geographical presence) may be eligible for additional discounts from SDx. Such companies are often in a position to negotiate for better pricing.

Early Renewal or Prepayment: SDx often offers discounts if you renew early or prepay for the entire contract period. This is a common approach to securing a lower price.

Here at Spendbase our internal data shows that SDx is seen as a strong, highly specialized tool for asset information management, especially when the data is already in a structured or semi‑structured format.

From what Spendbase clients tell us, SDx tends to shine in a few clear areas:

• Very good at extracting engineering data from:
• PDFs
• 2D drawings (DWG, DGN)
• 3D models
• Captures key metadata reliably, such as:
• Tags
• Document numbers
• Revision details
• Helps turn unstructured engineering content into a usable digital format that feeds a digital twin
• Supports visualization and “hotspotting” of data inside models, which is valuable for operations and maintenance teams

Our internal data also shows a consistent pattern of friction points:

• Limited performance on:
• Image-based files (for example, TIFF)
• Handwritten documents
• Non-searchable / scanned files without text layers
• When automated extraction does not work, the manual path can feel heavy:
• The document workbench is often described as cumbersome
• Adding tags manually to documents is time-consuming
• This impacts adoption for teams with large volumes of legacy scans

In simple terms, Spendbase clients see SDx as:

• Excellent for:
• Structured digital engineering data
• Organizations already working mainly with PDFs, CAD, and 3D models

• Building and maintaining a digital twin with good-quality source data

• Challenging for:

• Brownfield environments with lots of old scans and handwritten records
• Teams that rely heavily on TIFFs and other image formats
• Users who need fast, user-friendly manual data capture workflows

From a cost-optimization and discount perspective, our internal benchmarks suggest SDx delivers the most value when:

• At least 70–80% of your documents are text-searchable or CAD/3D
• You have clear processes for handling the “hard” 20–30% (images, handwriting)
• You plan to integrate SDx into a broader digital twin and ALIM strategy, not just use it as a simple document store

If you’d like, I can help you estimate what portion of your current data landscape fits SDx’s strengths and where it might be worth negotiating pricing or add-ons to cover the weaker areas.