Identify emergent harms and acquire plaintiffs at scale with AI-native litigation agents that detect potential class actions up to 18 months before they hit courts.
Discover 14 Data Structuring tools on AI Tech Suite, including WhyHow AI, ReOrc and JsonLLM
Identify emergent harms and acquire plaintiffs at scale with AI-native litigation agents that detect potential class actions up to 18 months before they hit courts.
Scale Southeast Asian enterprise operations and automate document processing with AI and human intelligence to gain reliable visibility across omnichannel data.
JsonLLM is an API for structured generation, allowing users to quickly create APIs that follow a given JSON schema and extract structured data from various documents efficiently.
Organize your life and securely share sensitive documents or memories with family using a private AI assistant powered by hallucination-free neuro-symbolic tech.
Transform unstructured text into actionable insights in real time with a semantic classification engine that maps data to half a million granular categories.
jsonAI transforms data into JSON using AI. Design your schema, get an API endpoint, and receive AI-structured JSON. Offers flexible JSON schemas and seamless integration. Free plan available.
Extract specific data from unstructured text into structured JSON formats using flexible AI-powered entity extraction for real estate, finance, and HR professionals.
Convert unstructured data like PDFs and audio into actionable business intelligence with no-code AI platforms, predictive models, and autonomous agents.
Harmonize proprietary data from PDFs, Slack, and Notion into a centralized knowledge base using a multi-agent AI platform designed for enterprise efficiency.
Streamline AI data infrastructure with a multimodal database that stores text, images, and video as tensors for faster retrieval and continuous learning.
Transform unstructured consumer transaction data into structured intelligence for market research using a vetted panel of over 150,000 active contributors.
Scale data labeling to millions of points with 95%+ precision using customized LLMs to turn raw data into structured insights for enterprise AI teams in 24 hours.
Increase RAG accuracy by 30% and extract verified knowledge from complex documents using advanced document parsing, knowledge graphs, and transparent reasoning.
Automatically extract tasks from emails, messages, and notes across Slack, Gmail, and Notion to stay organized with private, on-device AI processing.