Data Curation + Labeling

Show compelling content across digital platforms and
accelerate AI.

The challenge of relevance

and AI readiness

Customers respond to what’s relevant. Ensuring they only see relevant products and
content on your digital platforms requires analytical savvy and quality data. And if you’re investing in AI, a model that’s learning from bad data can be worse than useless.

Delivering relevant – and ultimately, intelligent – experiences demands unrelenting
attention to data quality. But typically, data curation is no one’s job.

As a result, curation either becomes an ungainly ad hoc program, forces high-skill talent into repetitive work, or simply doesn’t get done. In these cases, getting your data unstuck requires help.

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the club price


The Club Price

The Club Price owned by Texas Jasmine a leading wholeseller based out of Texas approach us to launch their initiative to sell individual chocolate ad discount price. We launched the site and got them the first order in around 1.5 months. In through months they were at $30k sales. More importantly, we brought the conversion cost from Google Shopping from $8 to $2 and clicks from $4 to $0.40 cents.

Some of the key work we did for them were

· Market research about the product competitor

· Consumer behaviour who buys snacks and chocolates

· Offshoot we can launch besides online retail which came to subscriptions and specialize boxes

· We use analytics to drive offerings to right target audience which brought us huge conversion

· We use shopify advance features to manage the stores

· SEO were done to generate organic sales

· Pinterest and Instagram engagement were done to buildup branding

Choosing a data curation team

Data curation demands the right resources, in the right timeframe, at the right budget –
all of which takes expertise to deliver.

Scalability. Data curation is by nature a large-scale effort. A data partner needs the resources, technology, and above all, experience to scale operations efficiently.

Global reach. Many projects require global datasets and perspectives. Through our
proprietary OneForma platform, we reach hundreds of thousands of resources across
200+ markets.

Technology. Data curation can’t work efficiently without the technology to back it up – whether that’s resource management, data analytics, machine translation, or QA delivery. We have it all.

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Explore our catalogue of results achieved,
challenges solved, and clients satisfied.

Our data curation approach

We take a partnership approach, identifying your true needs and leveraging the resources and expertise required to deliver on them.

Defining Requirements

Asking the right questions upfront

subject-matter experts, or people from a certain audience or culture? We start by ensuring we’re solving the right problems.

Data Curation

Gathering high-quality material

Recruiting a team of resources, we set clear, repeatable standards and send out or team to get the data you need, whether it’s in the form of images, text, or voice.

Data Labeling

Enriching the data

Accurate labeling charts not only attributes, but relationships – ensuring you can show related products and content to consumers and AI models alike. Our deep bench of talent identifies features of the data at whatever level of expertise is required.

Validation and QA

Building trust in the product

Accuracy and relevance is key. Through our OneForma platform, we draw on a pool of hundreds of thousands of resources who can be called on to scrutinize your data and hold it to the highest of standards.