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.

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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We're committed to increasing enterprise efficiency across the global workforce

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