
Skiplino
Qminder
QLESS
Wavetec QMS
Earlyone
DropReady
9techies
Queue-it empowers organizations to deliver seamless user experiences and protect their brand reputation by controlling online traffic.

Microsoft Office Excel
Siemens Teamcenter
SAP PLM
IBM Maximo Asset Management
ChatGPT
FMEAs that stay current. Tacit AI builds DFMEAs, PFMEAs and FMECAs from your design specs, process documents, manuals and failure reports, and updates them as they change.

Which is more popular?
Based on our record, Queue-it seems to be more popular. It has been mentioned 15 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | queue-it.com | tacitx.ai |
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| Company | — | Startup from the United States · 10 - 19 employees · 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


Queue-it helps in high-demand and limited-supply situations—like sneaker releases, ticket on-sales, or government registrations—that can easily overwhelm a website or app. In these high-demand situations, online visitors are redirected to a customizable waiting room and then throttled back to the...
Tacit AI builds and maintains FMEAs from your own data. It reads design specs, process documentation, equipment manuals and failure reports, and drafts complete DFMEAs, PFMEAs and FMECAs that your engineers review instead of rebuilding. Most FMEA tools help you fill out the form once. Tacit AI...
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Queue-it and Tacit AI.
Tacit AI's answer:
Tacit AI's answer:
Most FMEA tools help you fill out the form once, and newer AI tools fill it out faster. Tacit AI also keeps it current. It builds DFMEAs from design specs and requirements, PFMEAs from process documentation, and equipment FMECAs from manuals and failure reports. When a design, a process or the field data changes, the affected rows change with it. Design, process and equipment risk are linked in one place: severity flows from the DFMEA into the PFMEA, and equipment risk from the FMECA feeds into the PFMEA. Every row is traced to the document or report it came from.
Tacit AI's answer:
It works from your data, not a generic library: the FMEAs come from your own designs, processes, equipment and failure history, aligned to AIAG-VDA, SAE J1739, IEC 60812 or ISO 14971 and exported to your own template. It covers the whole lifecycle in one tool: DFMEA with DVP&R and special characteristics, PFMEA with control plans and work instructions, and FMECA with criticality and RCM, all linked to each other. Engineers review drafts instead of writing from scratch: the first FMEA comes in under 3 weeks, similar ones in days, and 80-90% is draft-ready on first delivery. It runs inside your own AWS or Azure cloud, connects to the PLM, QMS, ERP and maintenance systems you already use, and imports and exports with APIS IQ and PLATO e1ns, so you keep your system of record.
Tacit AI's answer:
Engineering teams that own risk analysis across the product lifecycle: design engineers writing DFMEAs for new products, process and manufacturing engineers writing PFMEAs and control plans, and reliability engineers writing equipment FMECAs, plus the quality leads who answer for all three in audits and customer reviews. Our core markets are automotive OEMs and Tier 1/2 suppliers working to AIAG-VDA and customer-specific requirements, pharma, and chemicals. The product is also built for aerospace, medical devices (ISO 14971) and mining.
Tacit AI's answer:
In 1996 the anthropologist Julian Orr showed that Xerox's official documentation had drifted away from what people actually saw in the field. The real knowledge was tacit: in people's heads and in their war stories. Thirty years later FMEAs have the same problem, from design through process to the plant floor. They are written once for the audit and slowly go out of date. Design never hears what the field learned, and the engineers who know better retire. Tacit AI is named after that knowledge. We built it to turn what is scattered across specs, process documents, manuals, failure reports and engineers' experience into design, process and equipment risk analyses that stay connected to the evidence.
Tacit AI's answer:
Large language models running on the customer's own cloud (AWS Bedrock or Azure OpenAI), a knowledge graph linking design, process and equipment risk, statistical reliability models (Weibull analysis, reliability block diagrams), and AI agents that read unstructured engineering text: design specs, process documentation, equipment manuals and failure reports. The architecture is model-agnostic, so a better model can be swapped in without rebuilding the customer's data.
Share your experience with using Queue-it and Tacit AI. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


There's a whole business for bad performing websites that need to limit visitors! https://queue-it.com/. - Source: Hacker News / over 2 years ago
Hello, I've been frequently archivng the Bungie Store as part of a wiki project for a few years now, but recently the website began acting strangle. The store has a queue system which it usually only deploys once a year (using the... Source: about 3 years ago
They're using https://queue-it.com/ . Source: over 3 years ago
Tracking Tacit AI since Sep 2026.
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