Case Study

A UK parcel delivery provider sought to enhance its compliance posture by transitioning from its current 5% sample checks to a comprehensive 100% audit of all export and import parcels

Artificial Intelligence (AI) has been making waves in various industries, and the education sector is no exception. In recent years, AI has found its way into learning, providing students with personalized learning experiences. However, unlike traditional learning methods, one major challenge with conversational platforms is creating high-quality content for several reasons

To ensure structured organization of information, we harness AI's power to create a comprehensive taxonomy. By analyzing and extracting indexed concepts from data, we establish a cohesive framework that underpins content organization.

Straive’s solution harmonizes the potential of cutting-edge AI algorithms with the acumen of expert human teams. This convergence is engineered not just to streamline the process, but also to deliver an exceptional degree of precision and contextual depth to content.

With extensive industry experience, expertise in SSR migration, commitment to timeliness and quality, and end-to-end product maintenance capabilities, Straive emerged as the ideal choice to meet these requirements.

A global leader in legal information and analytics faced a daunting challenge: the need for skilled Legal Subject Matter Experts (SMEs) to meticulously review and analyze extensive legal documents, a process that demanded significant time and resources.

Straive offered an end-to-end solution that offered an enhanced communication framework and innovative technology that would assist MEs in communicating clearly with their stakeholders and making data driven decisions for streamlining the production workflow.

Straive Artificial Intelligence (AI) based data solution assists enterprises in harnessing the power of AI to swiftly create and launch products, target new markets, increase market share, sell more, and multiply revenue streams.

Straive provided a customized solution to the academic publisher's challenges, which included creating flexible and scalable knowledge models to suit the publisher's content and classify/ index the content according to taxonomies

Improving Search Efficiency and User Experience through a Faceted Taxonomy for an international standards organization that develops and publishes technical standards for a range of materials, products, systems, and services.

As a global publisher, Taylor & Francis understands the significance of providing accessible content to readers worldwide. In line with their commitment to excellence, they set out to ensure that all their eBooks met the industry-standard EPUB3 format, prioritizing accessibility and offering a modern and consistent approach to digital publications.

Manual indexing is slow and expensive as finding the relevant indexing terms is a time-consuming task and in the case of full-text of articles, it could be overwhelming. On the other hand, automated document indexing is faster, more reliable, and cost-effective compared to manual indexing.

Those with visual impairments are limited in their ability to absorb information as they cannot understand the content of an image unless alt text is provided. Alt text can be challenging to write when dealing with images depicting complex information like charts, equations, and graphs. This is especially true for scientific journals and educational materials

In this connected and digital era, customer experience and engagement are becoming the most critical business priorities for enterprises because they directly impact growth and profitability. The intelligent and advancing technologies help boosts lead generation, customer acquisition, and revenue pipeline.

A multichannel support solution enables real-time data sharing across channels, produces superior TATs, and lowers operational costs. Straive’s customized solutions provide an integrated solution to manage seasonal demand variances and scalability.

An abstract highlights the key points in a document and helps a reader ascertain if it is a useful resource. However, manually creating abstracts is a time-consuming and error-prone process. Artificial Intelligence (AI) helps enterprises overcome the challenges of manual abstract creation processes.

Extracting and transforming data from complex documents manually is a labor-intensive and an error-prone process. Even with multiple resources for data extraction, it can take days or weeks to get actionable information.

Emerging digital technologies have changed business processes to become more efficient and effective. With an effective content moderation strategy, businesses can ensure stronger customer relationships.

Straive’s automated data extraction and data science services enable the enterprise to gain a competitive advantage, onboard more customers and retain existing ones, assess present and future risks, reduce costs and personalize their offerings.

Data Extraction for Better Strategic Decision - Straive helps information providers acquire, extract, transform, manage, and deliver analysis-ready data that can be seamlessly integrated into any data workflow.

Straive’s automated data extraction and data science solution enable enterprises to trigger a transformation in how they gain competitive intelligence, research potential recruits, investigate mergers, and qualify their customers.

Enterprises are looking to improve productivity and accuracy in data extraction processes. Straive offers a lean and agile approach to enhance the productivity and TAT in the data extraction process

A leading global information analytics company sought to validate and curate the machine predicted mapping output of research articles to SDG goals through expert annotations by subject matter experts (SME).

Digital content needs to be appropriately categorized and classified to improve learners' engagement. However, an enormous amount of learning content poses a significant challenge. Even with seasoned SMEs, the slightest of errors can lead to issues like.

This case study offers insight into how we leveraged AI to automate the end-to-end processing of asset identification from street images.

A leading multi-disciplinary journal's performance indicators began to deteriorate as a result of clogged editorial pipelines caused by backlogged manuscripts. Additionally, high attrition among the in-house team contributed to the quick accumulation of manuscript backlog.

Straive works with leading information providers, publishers, and aggregators to extract meaningful insights from unstructured content and data.

Maintaining an up-to-date, high-quality biomedical evidence database is imperative to the pharma industry and the biomedical research community. However, manually indexing concepts derived from thousands of biomedical journal articles is challenging, time-consuming, and error-prone.

Research Integrity Practices- Research Integrity related claims are made when there is a suspicion of a violation of publication ethics policies, either prior to or following publication.

Digital advances are shaping the real estate marketplace. To stay in tune, they need to align their data strategy to handle voluminous data operations across diverse sources and formats.

Download our Peer Review Management case study to learn how Straive brought flexibility and scale to meet client growth.

A single academic title or program can be associated with an EPUB textbook, lecture PPT, PDF solutions manual, demonstration videos, and interactive online assessments.

Managing companies' contact databases from various public sources such as company websites, news, and others data points.

Data acquisition from various images is a complex process and requires an automated solution to identify the key objects.

A leading publisher of peer-reviewed scientific journals and videos required help with translating hundreds of videos into other languages. The publisher produces over 100 new videos each month, all in the English language. These peer-reviewed videos are primarily aimed at researchers, educators, and students across the globe.

In the world of STM publishing, manuscripts submitted to a journal can get rejected owing to the scope of the journal even if the research itself is publication-worthy.