Welcome to the future of decision making
We automate analytical tasks to scale human expertise and make accurate predictions about
Try our new Financial Sentiment Engine
Take our technology for a spin and explore the possibilities that human level sentiment and classification can provide. Enhance and scale your NLP tasks with our contextual AI engine for financial sentiment analysis with more than 96% accuracy.
Information Overload
The digital explosion has created so much complexity that is beyond human capacities
Human Limitations
Humans get tired which diminishes the processing rate and understanding of information over time
Data Insufficiency
Machines require huge volumes of often unavailable training data to learn accurately
People make biased decisions.
Humans are ill-equipped to quantify and model volumes of complex unstructured information into predictive insights. As a consequence, decision makers miss valuable insights buried in the complexity and make their decisions on incomplete and biased analysis.
Automated analytical tasks at scale
Accrete helps your organization scale up its analytical tasks with less effort, higher accuracy, and vastly increased productivity. We do this by building smart analytical tools that continuously read, understand, adapt, and learn in specialized ways, much like humans.
Hidden features uncovered
As the tools learn, they uncover hidden features buried in the complexity. These hidden features help surface predictive insights which would be impossible for even an army of human analysts to identify using traditional intelligence and tools.
Human experts in the loop
We specialize in overcoming sparse training data challenges by leveraging human experts to create semantically rich training data that feeds our dynamic continuously learning models. Experts only train ~0.1% of the total data ingested by our learning models, making our process highly scalable.
Applicable for different use cases
Our models underlie a platform with various capabilities including intelligent web crawling, contextual analytics, semantic search and more, that can be combined and configured in various ways to solve real-world problems.