We tackle all kinds of data challenges, take a look at solutions in a few of our verticals.

eCommerce sites manage vast quantities of noisy information, from product images and descriptions, to user feedback and ratings. A miscategorized image or description is a nightmare for everyone. It can cause headaches for users, and poorly handled feedback and ratings can compromise trust and safety. Automation and rapid handling of information remain major goals, but you can’t replace human insight if you want accuracy. iMeriters can help with both sides. Our teams are experts in creating robust reference datasets to train automated pathways, and also in validating pre-processed information. This adds an extra layer of nuanced analysis and insight to data tasks.

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Annotation & Tagging
Enable smarter search and retrieval of products through robust and accurate hierarchy creation and item tagging.

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Transcription
Capture and categorize non-machine readable information contained in product images.

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Categorization
Identify key features of retail items in order to categorize in complex hierarchies; de-duplication of products based on visual features.

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Moderation
Review and assess user feedback for appropriateness and relevance. Quickly escalate critical feedback to ensure safety and satisfaction.

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Sentiment Analysis
Extract complex sentiments from user feedback, like a hotel review which has multiple positive and negative sub-ratings.

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Verification & Validation
Detect subtle differences in duplicate product listings to reduce attempts to manipulate search results.

In the interconnected financial world, large streams of data can be confusing. Without insights and connections between diverse events, you won’t be able to make sense of it all. iMerit teams extract information from varied sources and present it in an understandable, structured manner. We ensure delivery in an aggressive time frame to help your systems connect the dots.

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Annotation & Tagging
Link natural language paragraphs with standard tags and taxonomies.

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Transcription
Transcribe complex earnings calls and analyst recordings.

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Entity Extraction
Identify key domain-specific terms from public reports and press releases.

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Moderation
Keep an eye on user forums for inappropriate or illegal content.

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Sentiment Analysis
Identify financial analyst sentiments from their writings

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Data Enhancement
Enrich existing datasets by collecting information on corporate moves from snippets all over the web.

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Data Aggregation
Put two and two together from diverse sources.

We love supporting high-tech companies in innovative sectors like the sharing economy and consumer technologies. In industries like these, our clients are busy solving complex, real-world problems. While they do, the data can quickly get messy. You need constant iteration of automated and machine learning processes to get better solutions, faster. Our personnel help tackle these challenges, taking care of every last data point, so that nothing gets lost in translation.

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Annotation & Tagging
Make sure opaque information is correctly tagged to better train your algorithms so you can apply them with confidence in the field.

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Segmentation
Capture subsets of multidimensional data like street views in order to improve driving automation.

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Categorization
De-duplicate and cluster subjectively similar items.

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Sentiment Analysis
Assess natural language information for nuance and escalate actions based on them.

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Dataset Creation
Create and prep datasets to exact specifications in order to your machines.