AI Buyer Insights:

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of Selerity Private Context Engine Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Citibank Banking and Financial Services 226000 $81.1B United States Selerity Selerity Private Context Engine Natural Language Processing 2016 n/a
In 2016, Citibank integrated Selerity Private Context Engine into the Citi Velocity platform to deliver timely, relevant market content to institutional clients. The Selerity Private Context Engine was deployed as a Natural Language Processing capability to surface contextual content and client interest signals within Citi Velocity. Implementation concentrated on contextual content indexing, relevance scoring, and content-to-client matching to support client engagement and CRM workflows in the United States. The deployment leveraged Selerity Context technology named in public reporting, and the use of the Selerity Private Context Engine is inferred to provide deeper chat and email analytics and client-interest extraction across Citi workflows. Operational coverage emphasized institutional client-facing teams and content delivery pipelines on Citi Velocity, with outputs routed into CRM-driven engagement processes and content management workflows. Governance activities included tuning content relevancy and operational handoff to content managers and client engagement teams, and the implementation explicitly supported client engagement and CRM workflows while improving content relevancy on the platform.
Dealogic Banking and Financial Services 750 $140M United Kingdom Selerity Selerity Private Context Engine Natural Language Processing 2019 n/a
In 2019 Dealogic acquired Selerity and announced the intent to embed the Selerity Private Context Engine into its capital markets product portfolio. The acquisition targeted the Selerity Private Context Engine for Natural Language Processing to enhance finance workflows across investment banking, sales and trading, and market analytics on a global basis. Deployment focused on treating the Selerity Private Context Engine as an AI service layer integrated into Dealogic’s capital markets product suite, providing Natural Language Processing capabilities such as entity extraction, event detection, content enrichment, classification, and semantic search. The implementation narrative centers on ingesting unstructured market content and structured feeds, normalizing and enriching text signals, and exposing those signals into analytics, deal origination, and client engagement workflows within Dealogic applications. Operational scope encompassed product-level integration across Dealogic’s investment banking, sales and trading, and market analytics workflows, with rollout patterns inferred toward customer-facing analytics and internal research teams. Governance and process workstreams emphasized data curation, annotation pipelines, and model operationalization to embed NLP outputs into existing workflow controls and alerting, consistent with the stated intent to enhance finance workflows using the Selerity Private Context Engine.
Symphony Communication Services Professional Services 750 $200M United States Selerity Selerity Private Context Engine Natural Language Processing 2017 n/a
In 2017, Symphony Communication Services integrated Selerity Private Context Engine into its partner ecosystem to surface market-relevant news and analytics inside secure Symphony chats. The implementation used Selerity Private Context Engine as a Natural Language Processing application to extract client interests from communications and to enrich chat sessions with contextual market signals for front office users. The deployment embedded the Selerity Private Context Engine capability into in-chat workflows, enabling surfacing of news, analytics, and actionable content directly within secure messaging streams. Implemented functional capabilities include content ingestion and relevance scoring, client interest extraction from communications, and contextual delivery into chat threads to support sales and trading and research workflows. Operational coverage emphasized support for sales & trading and research workflows across global financial markets, with the Private Context Engine instrumenting client communications to surface tailored market signals inside Symphony. Governance and rollout centered on partner ecosystem integration and in-chat content controls to maintain the platform security model, and the integration explicitly improved in-chat access to actionable content for trading and research teams.
Showing 1 to 3 of 3 entries

Buyer Intent: Companies Evaluating Selerity Private Context Engine

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Selerity Private Context Engine. Gain ongoing access to real-time prospects and uncover hidden opportunities.

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD Selerity Private Context Engine Coverage

Selerity Private Context Engine is a Natural Language Processing solution from Selerity.

Companies worldwide use Selerity Private Context Engine, from small firms to large enterprises across 21+ industries.

Organizations such as Citibank, Symphony Communication Services and Dealogic are recorded users of Selerity Private Context Engine for Natural Language Processing.

Companies using Selerity Private Context Engine are most concentrated in Banking and Financial Services and Professional Services, with adoption spanning over 21 industries.

Companies using Selerity Private Context Engine are most concentrated in United States and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Selerity Private Context Engine across Americas, EMEA, and APAC.

Companies using Selerity Private Context Engine range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 66.67%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 33.33%.

Customers of Selerity Private Context Engine include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Selerity Private Context Engine customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.