GENERATIVE NLP
Transform
Content
Into Solutions
Tap into unstructured data to reduce risk and maximize performance.
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Accern works with Banks, Asset Managers, Insurance Companies, Fortune 1000 Enterprises, and Startups.
NATURAL LANGUAGE PROCESSING
NLP is the ability of computers to read and interpret content in a human-like capacity.
Classification
Categorize content with companies, people, locations, themes, events, and sentiments.
Summarization
Produce a shorter version of a document while preserving its important information.
Q&A Chat
Generate answers to questions given some context, and sometimes without any context.
Extraction
Extract essential information into more editable and structured data formats.
NLP models trained for industry-specific use cases lead to faster deployment and higher adoption compared to generic models.
HOW DOES IT WORK
Build industry-specific solutions from content in minutes
1. Connect Data
2. Select NLP Models
3. Deploy Into Workflow
Accern helped save us $10 million and four years by providing a no-code platform and ready-made apps we can use to enhance our trading models instantly.
Kanen Flowers
Chief Investment Officer, Next Alpha
APPLICATIONS
Activate ready-made apps to solve industry problems
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CUSTOMER ROI
We accelerate digital transformation for our customers
$8.4M in new loans to 600+SMBs within 6 months.
Standard bank built a solution to gauge health scores for small businesses in South Africa, by tracking geo-activities from billions of news, reviews, and reports which was then plugged into a credit health model for underwriting.
$36M+ in annual losses avoided due to liquidity risk
Mizuho Bank built an NLP app on Accern to identify early warnings of liquidity risk by consolidating and analyzing internal and external data to generate intelligent filter, alerts, and explanation capabilities to their BI dashboard.
$10M+ and 4 years saved by building NLP apps in-house
Next Alpha save us $10 million and four years by using Accern’s ready-made quantitative research apps to import into their systematic models for alpha generation using alternative data.
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