spaCy
Amazon Comprehend
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
OpenNLP
NLTK
PyNLPl
BODIC
Edda.co
DealCloud
Intralinks
DealLab
Allvue LP Portfolio Management
BlackRock Aladdin
BODIC is a purpose-driven SaaS company that helps General Partners (GPs) and investment professionals unlock the full potential of their data. With a sovereign, responsible, and pragmatic approach, BODIC empowers private equity, private debt, and real estate firms to modernize their operations.
BODIC offers three complementary solutions:
Bodic Apps: A modular and intuitive platform tailored for GPs, centralizing data flows, ESG metrics, reporting, and AI tools.
Bodic Advisory: Expert guidance to audit and optimize your data infrastructure and AI projects.
Bodic Learning: Practical training programs designed to build internal capabilities in data, statistics, and responsible AI.
๐ฏ Our mission: help investment firms regain control of their data and build long-term value through digital sovereignty.
๐ก๏ธ Built with privacy, security, and European values in mind.
Based on our record, spaCy seems to be more popular. It has been mentiond 65 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
We use spaCyโs en_core_web_lg (Large) model as the underlying NLP engine. This gives the Redactor the linguistic context to understand that "Gatsby" in a book title should stay, but "Gatsby" mentioned as a person's name in a private letter might need to go. - Source: dev.to / 4 months ago
For NER, if accuracy is critical, go with an LLM โ even an old one like gemma-3-27b-it will outperform tools or small models trained for this task. But by using an LLM you are exposing your data, making an HTTP request, and most likely incurring a cost. If accuracy is not critical and you want to stay in Javascript, compromise is a good package for NER. If you want an even better package and it's OK not using... - Source: dev.to / 5 months ago
For more advanced food label AI, combine pattern matching with Named Entity Recognition (NER). Libraries like spaCy (Python) or compromise (JavaScript) can identify amounts, units, and nutrient names even in noisy text. - Source: dev.to / 6 months ago
For complex or highly variable menus, consider using NLP libraries like spaCy (Python) or fine-tuning a transformer-based NER model (e.g., BERT) to identify dish names and prices. - Source: dev.to / 6 months ago
Open-Source NLP Libraries: Python libraries like spaCy, NLTK, and Hugging Face Transformers for building custom models. - Source: dev.to / 8 months ago
Amazon Comprehend - Discover insights and relationships in text
Edda.co - Software Suite for Venture Capital, Corporate Venture Private Equity, Family Offices & Investment Bank Manage your dealflow, support your portfolio companies, track your performances in real-time and raise your next fund with edda.
Google Cloud Natural Language API - Natural language API using Google machine learning
DealCloud - The DealCloud platform helps deal professionals seamlessly integrate and execute their fund raising, sourcing and deal management strategies
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
Intralinks - Intralinks is the leading FinTech platform for secure document sharing and collaboration. Learn how we can add efficiency and security for M&A, Banking and Securities, and Alternative Investments.
