PatSeer is an AI-driven fully featured platform built for all your patent research, analysis and collaboration needs. You can search global patent collections with confidence, leverage our connected data points for superior research, generate insights using powerful filters, charts, matrices, and quality scores. PatSeer’s rapid innovation cycle helps you get your feedback or custom capabilities incorporated in 60 days or less.
User-friendly Applicant Tracking System: Free plan, Gmail & Calendar integrations. Attract, interview & hire the best candidates faster. Used by startups, SMBs, and big companies like Siemens and Magna. Create your resume database: resume parser, csv import, duplicate detector. Send bulk email campaigns. Schedule and conduct interviews, feedback reminders for interviewers. Kanban board to visualize your recruiting pipeline. Chrome extension to import candidates from Linkedin, Github, etc.
DiigiParser allows businesses to extract data from documents and emails with our AI powered OCR models, and automate business processes with simple no-code workflow builder.
Parsers VC is an innovative platform that leverages advanced artificial intelligence to provide comprehensive, real-time data on venture capital activities. By continuously monitoring over a million websites daily, including those of venture funds, startups, media outlets, and social media platforms, Parsers VC delivers up-to-date insights into venture funds, startups, and their transactions. This enables users to stay informed about the latest developments in the venture capital market.
Key Features and Functionality:
- VC Funds and Startups Data Collection: Utilizes AI algorithms to meticulously gather and structure data from VC websites, tracking changes in portfolios, teams, and news.
- Comprehensive Startup and VC Fund Database: Integrates startups and VCs into a robust database through various methods, ensuring thorough coverage and up-to-date information.
- Team Analysis: Collects structured data about employees of venture funds and startups, offering detailed insights into the human resources of these organizations.
- News Aggregation and Analysis: Employs natural language processing (NLP to analyze news from various sources, identifying key information relevant to the venture capital ecosystem.
- Funding Rounds Identification: Detects and defines funding rounds, enriching the database with invaluable investment data.
- Investment Attractiveness Calculation: Features an AI-driven predictive investment algorithm that evaluates the investment potential of startups based on 26 different parameters, achieving near 90% accuracy in predicting successful investments.
- Simplified Venture Matching and Advanced Learning: The 'Venture Matching' service simplifies the fundraising journey by effectively connecting startups with the right venture capital funds. Additionally, the use of reinforcement learning continuously refines the predictive investment algorithm, ensuring ever-improving accuracy in venture capital fund selections.
Primary Value and User Solutions:
Parsers VC addresses the challenge of accessing timely and accurate venture capital data by providing a platform that offers real-time insights into the market. For startups, it simplifies the process of identifying and connecting with suitable venture capital funds, enhancing their chances of securing funding. For investors, it offers a comprehensive database and predictive tools that aid in making informed investment decisions, optimizing portfolio management, and staying ahead of market trends. By delivering precise and up-to-date information, Parsers VC empowers its users to navigate the complex venture capital landscape effectively.
ParseGround is a mobile backend-as-a-service (mBaaS) platform, which simplifies the mobile app developement, provides developers with a way to link their applications to backend cloud storage and enables to build and run Node.js and MongoDB applications in the cloud.
Pasteur Labs is a venture-backed, public-benefit corporation dedicated to developing Simulation Intelligence (SI) technologies and scalable platforms that empower human-machine teams to achieve groundbreaking advancements in physical and life sciences. By integrating artificial intelligence, simulation, and scientific computing, Pasteur Labs aims to revolutionize the way complex, dynamic systems are understood and manipulated, facilitating the transition of innovative concepts from theoretical research to real-world applications.
Key Features and Functionality:
- Simulation Testbeds: Creation of in-silico environments that allow for efficient and reliable modeling of technologies and interventions across diverse sectors, including energy, climate, socioeconomics, and agriculture.
- HW-SW Co-Design and Machine Programming: Development of more efficient and flexible systems through hardware-software co-design and machine programming, leading to the Simulation Intelligence Operating System.
- Inductive and Open-Ended Scientific Methods: Advancement of scientific methodologies by leveraging innovations in simulation, AI/ML, and accelerated computing to explore a vast array of hypotheses and solutions across various domains and scales.
Primary Value and User Solutions:
Pasteur Labs addresses the critical challenge of modeling multi-scale phenomena and their cause-effect mechanisms, which often hinder the prototyping and deployment of promising concepts. By building advanced simulation testbeds and reimagining computation for scientific simulation and AI, Pasteur Labs enables researchers and engineers to efficiently design, experiment, and understand dynamic environments. This approach accelerates the development and deployment of innovative technologies, ultimately leading to significant breakthroughs in science and engineering.
ParserData is an AI-powered financial data extraction software designed for automated invoice processing and high-accuracy PDF-to-Excel conversion. Built for accountants, auditors, and finance teams, ParserData eliminates manual data entry from bank statements, receipts, and complex financial reports. Our AI engine ensures structured data output that is audit-friendly and ready for direct integration into ERP systems or Excel spreadsheets.
ParserBee turns unstructured documents into clean, structured data you can actually use.
Pick one of 83 ready-made parser templates covering invoices, receipts, resumes, bank statements, purchase orders, contracts, ID documents and more, or build your own by uploading a single sample document and letting our AI engine work out the fields for you. No code, no training data, no setup project.
Once a template is ready, Data Lab lets you upload a whole batch of documents at once. You watch them parse one by one, review everything in a spreadsheet view, then export to Excel, CSV, PDF or straight into Google Sheets. Developers can skip the interface entirely and use the REST API.
ParserBee reads PDFs, scans, photos, spreadsheets, presentations and email files, including messy real-world documents where the layout changes from one supplier to the next.
Built for admin, HR, finance and operations teams who spend hours retyping documents, and for developers who need reliable extraction behind an API.
Start free with 25 pages, no credit card required.
Production AI endpoints behind one key and a pay-per-call credit wallet. Parse invoices, statements, contracts and resumes to schema-valid JSON at a flat price per document.
Convert PDFs into JSON or Markdown from any URL at scale.
For $0.001 per page, it's fast, reliable, and ultra-cheap!
Experience full, accurate extraction in one pass:
- No broken tables or missing pieces
- Tables = structured data, diagrams = clear images
- 3 Tuned for finance reports, transcripts & more
- Text, tables, diagrams, images: all captured
- 5 Keeps original layout + visuals
- 24/7 clean
Fast & Stable:
- Auto-scales compute based on demand
- Sub-second speed, even at peak load
- Idle resources auto-released = lower costs
MCP-ready:
- 1-click deploy to any cloud
- Built-in load balancing + failover
- Plug-and-play → no extra dev needed
Save up to 97% on your PDF parsing costs!
Cost (USD per page):
- NetMind ParsePro = 0.001
- Microsoft Azure AI Document = 0.036
- Amazon Textract = 0.15
- Google Document AI = 0.15
ParseStream is a real-time conversation monitoring and lead generation tool that tracks keywords across Reddit, Quora, and Hacker News, helping brands find high-intent prospects and engage with AI-generated replies at the perfect moment.