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QBenchQBench is a cloud-based Laboratory Information Management System (LIMS) designed to help laboratories manage samples, workflows, data, inventory, reporting, quality processes, & client interactions in one platform. Labs use QBench to manage laboratory operations from order placement and sample processing through results and automated reporting. The platform is highly configurable, allowing laboratories to build workflows, define custom data fields, and automate processes around the way their lab already operates. QBench also helps laboratories reduce manual work by connecting instruments, software, and other systems through file parsers and a robust API. These integrations can automate data transfer between systems, reducing repetitive data entry and the risk of transcription errors. Key QBench capabilities include: Sample and workflow management Configurable laboratory workflows and custom data fields Workflow automation Instrument and system integrations File parsing and API connectivity Inventory management Client portal access Automated reporting Analytics and operational insights Integrated Quality Management System (QMS) capabilities Unlike LIMS platforms that require extensive custom development to accommodate laboratory processes, QBench is designed to be configurable and adaptable as workflows change. Laboratories can modify processes, fields, and automations without relying heavily on custom code. QBench is cloud-based, giving laboratory teams secure access to their LIMS while bringing laboratory data, workflows, automation, quality management, and reporting together within a centralized platform. QBench also supports customers with a team that includes former bench scientists who understand laboratory workflows and can provide guidance throughout implementation and ongoing use.
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What is Attention Insight?
Elevate your design process by utilizing AI-driven attention analytics to validate your ideas, which enables you to gauge consumer interaction with your landing page prior to its official debut. This innovative method delivers crucial feedback in less than a minute and achieves an impressive accuracy range of 90% to 94%, all while complying with GDPR and privacy regulations. Unlike traditional evaluation methods that necessitate a complete launch along with significant traffic and sample sizes, you can uncover critical insights about your designs before they hit the market. Attention Insight’s cutting-edge predictive attention heatmaps identify potential performance obstacles early in the design phase, allowing you to optimize your concepts for success from the outset. By harnessing attention and insight, you can fine-tune your designs effortlessly with your favorite tools, gaining A/B testing insights into your ideas without relying on live traffic or large sample groups. This strategy not only lets you visualize how potential users might interact with different layouts or designs but also equips you to make informed improvements before your product is introduced to consumers, ensuring a better fit with market expectations. Ultimately, this proactive approach positions your designs for greater impact and success in a competitive landscape.
What is Affect Lab?
A consumer insights platform centered on technology, designed specifically for Insights teams, facilitates the mapping of insights across a range of media, digital platforms, and shopper engagements, which in turn helps in crafting emotionally impactful customer experiences while refining the customer journey to increase conversions and collect data related to emotions, attention, engagement, and visibility. Additionally, it acts as a resource for usability testing and analytics for UX teams, allowing them to measure user focus, interaction, and emotional responses as users navigate their experiences, while also enabling the evaluation of prototypes, mockups, websites, applications, and chatbots to identify vital UI elements that capture consumer interest, ultimately resulting in user experiences that are emotionally refined and boost conversion rates. Moreover, the platform harnesses Emotion Insights to develop enhanced customer experiences, employing Facial Coding APIs to evaluate emotional reactions at scale, including single and multi-face emotion recognition in everyday environments, along with recorded video emotion assessments. It also supports the testing of various stimuli across multiple formats and channels, such as videos, print ads, planograms, packaging designs, websites, mobile apps, and chatbots, ensuring an exhaustive analysis of emotional feedback. By employing this comprehensive method, brands can effectively establish a profound emotional connection with their audience, which is essential for nurturing loyalty and sustaining long-term engagement. This innovative approach not only captures vital consumer behavior insights but also drives strategic improvements in marketing and product development.
Integrations Supported
Adobe Photoshop
Adobe XD
Asana
Figma
Google Chrome
Sketch
Zapier
Integrations Supported
Adobe Photoshop
Adobe XD
Asana
Figma
Google Chrome
Sketch
Zapier
API Availability
Has API
API Availability
Has API
Pricing Information
€19 per month
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Attention Insight
Company Location
United States
Company Website
attentioninsight.com
Company Facts
Organization Name
Affect Lab
Date Founded
2016
Company Location
India
Company Website
affectlab.io
Categories and Features
Categories and Features
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
Usability Testing
A/B Testing
Annotations
Audience Targeting
Heatmaps
Impression Testing
Mobile Testing
Moderated Usability Testing
Prototype Testing
Quantitative Metrics
Remote User Testing
Reporting / Analytics
Surveys and Feeback
Video Recording / Transcription