Asset Managers

Access to a wider range of data processing tools traditionally out of reach to asset managers. Cloud-based platform with a wide range of problem-solving tools and no-code bespoke analysis.

Thematic Search

Typical use cases

  • Asset managers can quickly scan data without the need for technical capabilities.

  • Clear analysis of themes and trends.

  • A number of related tools to help facilitate further text analysis.

Key features

  • All public filings, news, press releases and transcripts from exchanges in15 major countries/regions, with 5 years of historical data updated daily.

  • Supports multilingual terms.

  • Results mapped to ticker/ISIN, available to browse as raw documents. Incremental documents searched daily.

  • Flexible pricing.

Process

  • Create the search task and configure the parameters.

  • Select existing or create chosen concept.

  • Review detail (and cost if on consumption-based pricing model).

  • Run the search.

  • Notification sent when the search is complete and the results available to view in the way you choose.

Case study

Case study

In 2017, one of our clients launched one of the world’s first AI funds at a crucial moment for the AI industry. It was/is crucial to have a systematic methodology to screen the entire universe and narrow down to a manageable size for follow up processes. “Their platform has helped us to deliver one of the strongest investment track records in the world over the past 3 years.” The fund manager (Chris Ford)

Additional products

Document Extraction

  • Automatically extract predefined attributes from documents.

  • Full audit trail and manual corrections.

  • Quality check validation.

  • Source public data and combine with internal data if required.

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Datasets

  • Comprehensive China data coverage.

  • Public filings collected from 15 global exchanges.

  • Crypto datasets.

  • Minimum of 5 years data updated daily.

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APIs

  • Sentiment, event/theme detection and more functional algorithms.

  • NER (Named-entity recognition) and part of speech analysis NLP processing algorithms.

  • BERT, deep learning and integrated training algorithms.

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