The ML models we build with our private equity clients are fully owned by them, making the output of Syfter unique to each firm.
The platform includes out-of-the-box UI/UX that can be customised to your needs, and branded to your firm
Often our clients will use our technology to integrate new capabilities into existing solutions via our APIs, or build new custom solutions on top of our backend ingestion engine.
Use our individual building blocks to solve challenges you are facing, whether it be licensing our webscraper for a project or using our ingestion engine to further enrich an internal data lake.
Syfter includes a flexible, highly scalable, ingestion engine that allows us to easily ingest content from both internal and external data sources.
Using content from company websites, Syfter builds a model of each company, extracting keywords and concepts to help the platform get a deep understanding of each company. It also classifies the company into a sector.
Using the company models, Syfter is able to match company mentions within third-party sources. It does this via fuzzy matching and by analysing terminology used within an article and how related it is to the target company.
Using natural language processing, Syfter is able to understand the subject of a news article and extracts signals such as board changes, acquisitions, product launches, and much more
Alongside extracting concepts and keywords, Syfter detects news articles, blog posts and press releases that have been published on company websites and continuously ingests them into your campaign.
Syfter allows you to issue a daily summary email to showcase the highlights of a campaign output in the previous 24 hours. This can be configured to a range of users across the company.
Syfter is continuously improving with new data connectors, refined machine learning models and new core features.
Book a free walkthrough to see how the Syfter platform could work for you.
