Emergent Methods offers LLM-powered news analytics and adaptive machine learning workflow orchestration to help organizations extract actionable insights from unstructured data. Their platform enables businesses to build robust AI applications and make informed decisions by providing tools for knowledge structuring, entity relationship extraction, and real-time data analysis.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle to extract actionable insights from the vast and rapidly evolving landscape of news and unstructured data. This challenge is compounded by the need for real-time analysis, the complexity of identifying entities and relationships, and the difficulty in maintaining data transparency and trustworthiness. Consequently, businesses are limited in their ability to build robust AI applications and leverage data for informed decision-making.
Solution
Emergent Methods provides a suite of advanced knowledge structuring and exploration tools designed to address these challenges. Their platform offers LLM-powered news analytics, enabling users to query and understand news content with cited references. For complex data processing and hypothesis testing, they provide adaptive machine learning workflow orchestration through their open-source software, Flowdapt. Additionally, their tools facilitate the creation of knowledge graphs using open-source entity relationship extraction models, offering a cost-effective alternative to proprietary solutions. These offerings empower businesses to integrate high-quality data analytics into their applications and develop sophisticated AI solutions.
Target Audience
The primary customers are businesses and developers seeking to integrate advanced data analytics, LLM capabilities, and real-time insights into their applications, particularly those in fields like finance, weather forecasting, and news aggregation.
Features
- **AskNews API**: Provides structured news analytics, including extracted entities, sentiment, and reporting voice, with cited references for LLM integration.
- **AskNews Chat**: Enables natural language interaction with news content, answering user queries with context and source attribution.
- **Flowdapt**: An open-source, Kubernetes-style orchestration framework for large-scale, real-time, adaptive machine learning workflows, supporting various executors like Ray and Dask.
- **Phi-3 Graph**: Open-source entity relationship extraction models for generating knowledge graphs with high fidelity.
- **GLiNER News**: Fine-tuned open-source entity extraction models specifically for news data.
- **FreqAI**: An open-source framework for time-series forecasting and adaptive modeling, supporting various machine learning libraries and custom workflows.
- **DataSieve**: A Python library enhancing scikit-learn pipelines with advanced transforms, outlier management, and backend customization for parallelization.
- **Manifest**: A configuration management tool for Python software, enabling flexible loading from various sources and dynamic object instantiation.