80% of data is unstructured text and contains valuable insights.
Tap into this data to reduce risk and maximize performance.
text data requires…
Difficult-to-Source Labeled Training Data
- No open source data sets
- Limited text annotation tools or manual labeling
- Context specific taxonomies
- NLP with Deep Learning
- Realtime, continuous model updates and re-training
Scarce Data Science
- Demand growing by 3x year over year
- 3x shortage in availability of data scientists
Doing Nothing is Not an Option.
There is a race to leverage AI / ML / NLP
Citizen Data Scientists
- Make Better Decisions
- Reduce Risk
- Spot Opportunities
Data Science Teams
- Improve Operational Efficiencies
- Optimize Workflows
- Uncover Insights
Track Entities & Events
Identify sustainable investments, source deals, monitor
suppliers, customers, competitors… Assess and monitor risks –
portfolio risk, credit risk, lending risk, underwriting risk…
- SEC Filings
- Analyst Commentary
- ESG Signals
- M&A / Partnerships
- Earnings Call Transcripts
- Global Events
- Regulatory / Compliance
- Rumors & Speculation
Accelerate Digital Transformation
Capture insights from internal documents to improve investment,
underwriting, claims decisions… Uncover customer sentiment,
reduce call center costs, identify new products…
- Structure Unstructured Data
- Score Sentiment
- Augment BI Dashboards
- Classify Documents
- Enhance Existing AI Models
- Enrich Products / Enterprise Apps
Accern NoCodeNLP Platform
No Code. No Complexity. NLP.
Industry-Leading Accuracy for Financial Services
Simply click to select pre-assembled data sources and pre-built
taxonomies, deploy pre-trained models and view accurate insights.
Feel free to BYO data, tune taxonomies and re-train models
to optimize your use case and workflows.
What Customers Say
It takes a data scientist, data engineer and developer 6 months – or 4000 hours – to build and deploy a single AI use case for our business clients, but with Accern, it took us just 40 hours.
Using Accern meant that we did not have to invest years and millions of dollars to create a taxonomy of over 10 million keywords related to companies, people, places, events and more.
Our team of 25 credit research analysts went from monitoring 125 tickers total to scaling to 3,000 tickers with the Accern NoCodeNLP platform.