Analyze connected information
Explore specifications, BOMs, suppliers, pricing, and revisions together. Ask what a score means, where a component is used, or which records need attention.
Use Spec Score and configured data-quality checks to find what needs attention. Ask LINQ Assist to analyze connected records, research product questions, compare sources, and propose missing information for your team to review.
Request a demoSee what needs attention, understand why, and decide what to do next—with your connected product information in view.
See how complete your records are and where configured quality checks need attention.
Spec Score · Completeness · Data QualityMove from a score to the missing values, inconsistent formats, and source details behind it.
The finding, the field, and the evidenceAsk LINQ Assist about your information and follow related specifications, BOMs, suppliers, and documents.
Answers in the context of connected recordsUse the findings to guide your review. Check proposed changes against their source before confirming an action.
Your review stays part of the decisionSpecifications, BOMs, suppliers, documents, and approvals stay connected as you investigate.
Ask LINQ Assist to investigate a product and its sources. This example compares a specification with supplier documents, separates supported facts from open questions, and proposes a missing value for review.
23 of 25 required or essential fields completed.
This example scores required and essential field completeness. Configured Data Quality checks can also contribute to Spec Score.I compared CMP-208 revision 03 with the sample supplier technical sheet and quote. The nominal bore and finish agree. Two specification details need confirmation, and the quote provides a lead-time value that is missing from the record.
Both the record and supplier sheet specify a 25 mm nominal bore and a clear anodized finish.
The record specifies Aluminum 6061-T6 and a ±0.05 mm bore tolerance. The supplier sheet says Aluminum 6061 and 25 mm, without the temper or tolerance. That is a gap in the evidence, not confirmation of a match.
The supplier quote states a lead time of 20 working days. The record’s Supplier lead time field is blank. I can propose that value with its source for your review.
Sample source excerpt. Temper and bore tolerance need confirmation from the supplier.
Illustrative quote excerpt. Confirm the applicable quantity, terms, and start point for lead time before using the value.
Source: SQ-2041 · p. 1 · Quote for 1,000 units. This addition does not resolve the temper or tolerance questions.
Use AI to understand the information you have and investigate what else you need.
Explore specifications, BOMs, suppliers, pricing, and revisions together. Ask what a score means, where a component is used, or which records need attention.
Investigate materials, product requirements, and supplier information. Bring PDFs, images, and related records into the conversation to compare details and identify useful follow-up questions.
Compare recorded values with supporting sources. Highlight mismatches, missing evidence, and details that need confirmation before your team relies on them.
Use source information to propose missing attributes, clearer descriptions, or additional product context. Review the evidence and applicability before accepting a suggestion.
Give AI instructions for a specific field, such as classifying a component’s material. Choose where the result belongs and limit it to your existing values when needed.
Explore AI RulesIdentify the material from the component description. Choose the matching material category.
“Mounting bracket, stainless steel”
SteelNo saved specification is selected in this conversation.
This example scores required and essential field completeness. Configured Data Quality checks can also contribute to Spec Score.The description says “Mounting bracket, stainless steel.” The rule must choose from Aluminum, Steel, or Polymer, so Steel is the matching allowed category. It saves that result in Material category.
When your next step is a new component, purchase order, or opportunity, describe what you need. LINQ Assistant can propose the record for you to confirm or reject.
No saved specification is selected in this conversation.
This example scores required and essential field completeness. Configured Data Quality checks can also contribute to Spec Score.Review the proposed component before confirming its creation.
Ask about your connected product information: specification gaps, BOM relationships, supplier details, pricing, documents, and revisions. Use Insights and scoring as a starting point, then investigate the records and evidence behind a finding.
Use the conversation to investigate product questions, compare technical information, and identify details to follow up. Bring relevant records, PDFs, and images into context. Check the sources behind a finding and distinguish documented values from suggestions or assumptions.
LINQ Assistant can help compare values, identify inconsistencies, and flag missing evidence. A match to a source or a high Spec Score does not establish engineering correctness, certification, or compliance. Your team reviews the evidence and makes the decision.
Yes. Ask it to identify useful information in supporting documents and propose supplemental values or product context. Check the source, units, revision, and applicability before confirming an addition. The example above leaves unresolved questions visible.
Attach PDFs or images to the conversation and ask the assistant to summarize, compare, or help extract relevant details. Review its interpretation against the original source before using the information.
Yes. It can propose objects such as components, purchase orders, and opportunities, as well as reviewable actions. Inspect the proposed details and choose whether to confirm or reject them. Website examples use sample data and do not change your account.
Review your source data and required outputs. Explore module-based pricing and a migration plan for your team.
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