Financial overview and grant giving statistics of Means Database Inc

MAFF Inc. Whois Database, discover comprehensive ownership details, registration dates, and more for MAFF Inc. with Whois Data Center.

India Number of Registered Company data was reported at 1,171,230.000 Unit in 2018. This records a decrease from the previous number of 1,172,583.000 Unit for 2017. India Number of Registered Company data is updated yearly, averaging 152,036.000 Unit from Mar 1957 (Median) to 2018, with 62 observations. The data reached an all-time high of 1,172,583.000 Unit in 2017 and a record low of 26,682.000 Unit in 1962. India Number of Registered Company data remains active status in CEIC and is reported by Ministry of Corporate Affairs. The data is categorized under Global Database’s India – Table IN.OC001: Registered Company: At Work.

DomainPeople, Inc. Whois Database, discover comprehensive ownership details, registration dates, and more for DomainPeople, Inc. with Whois Data Center.

The Global Database Management System market was valued at USD 101.24 billion in 2023 and is expected to reach USD 213.92 billion by 2029 with a CAGR of 13.28% through 2029.

This data contains Corporations and other Entities filing information that were processed in the previous thirty days. Each line contains the Department of State ID number, Film ID, Date Filed, Effective Date, Entity Name, the law under which the filing was made and other pertinent filing information.

This clean dataset is a refined version of our company datasets, consisting of 35M+ data records.

It’s an excellent data solution for companies with limited data engineering capabilities and those who want to reduce their time to value. You get filtered, cleaned, unified, and standardized B2B data. After cleaning, this data is also enriched by leveraging a carefully instructed large language model (LLM).

AI-powered data enrichment offers more accurate information in key data fields, such as company descriptions. It also produces over 20 additional data points that are very valuable to B2B businesses. Enhancing and highlighting the most important information in web data contributes to quicker time to value, making data processing much faster and easier.

For your convenience, you can choose from multiple data formats (Parquet, JSON, JSONL, or CSV) and select suitable delivery frequency (quarterly, monthly, or weekly).

Coresignal is a leading public business data provider in the web data sphere with an extensive focus on firmographic data and public employee profiles. More than 3B data records in different categories enable companies to build data-driven products and generate actionable insights. Coresignal is exceptional in terms of data freshness, with 890M+ records updated monthly for unprecedented accuracy and relevance.

📊 LinkedIn Company Data for Company Analysis, Valuation & Portfolio Strategy LinkedIn company data is one of the most powerful forms of alternative data for understanding company behavior, firmographics, business dynamics, and real-time hiring signals. Canaria’s enriched LinkedIn company data provides detailed company profiles, including hiring activity, job postings, employee trends, headquarters and branch locations, and verified metadata from Google Maps. This LinkedIn corporate data is updated weekly and optimized for use in company analysis, startup scouting, private company valuation, and investment monitoring. It supports BI dashboards, risk models, CRM enrichment, and portfolio strategy.

🧠 Use Cases: What Problems This LinkedIn Data Solves Our LinkedIn company insights transform opaque business landscapes into structured, analyzable data. Whether you’re conducting M&A due diligence, tracking high-growth companies, or benchmarking performance, this dataset empowers fast, confident decisions.

🔍 Company Analysis • Identify a company’s size, industry classification, and headcount signals using LinkedIn firmographic data • Analyze social presence through LinkedIn follower metrics and employee engagement • Understand geographic expansion through branch locations and hiring distribution • Benchmark companies using LinkedIn profile activity and job posting history • Monitor business changes with real-time LinkedIn updates

📈 Company Valuation & Financial Benchmarking • Feed LinkedIn-based firmographics into comps and financial models • Use hiring velocity from LinkedIn job data as a proxy for business growth • Strengthen private market intelligence with verified non-financial signals • Validate scale, structure, and presence via LinkedIn and Google Maps footprint

⚠️ Company Risk Analysis • Detect red flags using hiring freezes or drop in profile activity • Spot market shifts through location downsizing or organizational changes • Identify distressed companies with decreased LinkedIn job posting frequency • Compare stated presence vs. active behavior to identify risk anomalies

📊 Business Intelligence (BI) & Strategic Planning • Segment companies by industry, headcount, growth behavior, and hiring activity • Build BI dashboards integrating LinkedIn job trends and firmographic segmentation • Identify geographic hiring hotspots using Maps and LinkedIn signal overlays • Track job creation, title distribution, and skill demand in near real-time • Export filtered LinkedIn corporate data into CRMs, analytics tools, and lead scoring systems

📁 Portfolio Management & Investment Monitoring • Enhance portfolio tracking with LinkedIn hiring data and firmographic enrichment • Spot hiring surges, geographic expansions, or restructuring in real-time • Correlate LinkedIn growth indicators with strategic outcomes • Analyze competitors and targets using historical and real-time LinkedIn data • Generate alerts for high-impact company changes in your portfolio universe

🌐 What Makes This LinkedIn Company Data Unique

🧠 Includes Real-Time Hiring Signals • Gain visibility into which companies are hiring, at what scale, and for which roles using enriched LinkedIn job data

📍 Verified Location Intelligence • Confirm branch and HQ locations with Google Maps coordinates and public company metadata

🔁 Weekly Updates • Stay ahead of the market with fresh, continuously updated LinkedIn company insights

🔗 Clean & Analysis-Ready Format • Structured, deduplicated, and taxonomy-mapped data that integrates with CRMs, BI platforms, and investment models

🎯 Who Benefits from LinkedIn Company Data • Hedge funds, VCs, and PE firms analyzing startup and private company activity • Portfolio managers and financial analysts tracking operational shifts • Market research firms modeling sector momentum and firmographics • Strategy teams calculating market size using LinkedIn company footprints • BI and analytics teams building company-level dashboards • Compliance and KYC teams enriching company identity records • Corp dev teams scouting LinkedIn acquisition targets and expansion signals

📌 Summary Canaria’s LinkedIn company data delivers high-frequency, high-quality insights into U.S. companies, combining job posting trends, location data, and firmographic intelligence. With real-time updates and structured delivery formats, this alternative dataset enables powerful workflows across company analysis, financial modeling, investment research, market segmentation, and business strategy.

🏢 About Canaria Inc. Canaria Inc. is a leader in alternative data, specializing in job market intelligence, LinkedIn company data, and Glassdoor salary analytics. We deliver clean, structured, and enriched datasets at scale using proprietary data scraping pipelines and advanced AI/LLM-based modeling, all backed by human validation. Our AI-powered pipeline is developed by a seasoned team of machine learning experts from Google, Meta, and Amazon, and by alumni of S...

148MM+ highly curated US B2B Contact Data records and associated company information ( based on where the contact works now).

Fields Include:

• Contact Name (First & Last)
• Contact Work Address
• Contact Work Email
• Contact Personal Email
• Contact Mobile Phone
• Contact Direct-Dial Work Phone
• Contact Job Title
• Contact Job Function
• Contact Job Level
• Contact LinkedIn URL
• Company Name
• Company Domain
• Company Email Domain
• Company HQ Address
• Company Employee Size
• Company Revenue Size
• Industry
• NAICS and SIC Codes + Descriptions

Leverage this B2B Contact data for Sales Prospecting, Lead Generation, Marketing, Recruiting, Identity Resolution, Analytics, Research, Etc.

We offer flexible pricing options based on your unique business needs, data use-case, and data requirements.

• Purchase targeted lists of contacts based on your specific criteria
• Send us a CSV or use our UI/API to enrich existing leads, prospects, contacts
• License our entire database ( or subset of contacts) if you are planning to leverage this data within your products / platform / service offerings.

Contact us to access top-notch B2B Data and B2B Contact Data.

CZ: Start-Up Procedures to Register a Business: Female data was reported at 9.000 Number in 2019. This stayed constant from the previous number of 9.000 Number for 2018. CZ: Start-Up Procedures to Register a Business: Female data is updated yearly, averaging 9.000 Number from Dec 2003 (Median) to 2019, with 17 observations. The data reached an all-time high of 10.000 Number in 2007 and a record low of 8.000 Number in 2017. CZ: Start-Up Procedures to Register a Business: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Czech Republic – Table CZ.World Bank.WDI: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.;World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme;Unweighted average;Data are presented for the survey year instead of publication year.

Sign Up for a free trial: https://rampedup.io/sign-up-%2F-log-in - 7 Days and 50 Credits to test our quality and accuracy.

These are the fields available within the RampedUp Global dataset.

CONTACT DATA: Personal Email Address - We manage over 115 million personal email addresses Professional Email - We manage over 200 million professional email addresses Home Address - We manage over 20 million home addresses Mobile Phones - 65 million direct lines to decision makers Social Profiles - Individual Facebook, Twitter, and LinkedIn Local Address - We manage 65M locations for local office mailers, event-based marketing or face-to-face sales calls.

JOB DATA: Job Title - Standardized titles for ease of use and selection Company Name - The Contact's current employer Job Function - The Company Department associated with the job role Title Level - The Level in the Company associated with the job role Job Start Date - Identify people new to their role as a potential buyer

EMPLOYER DATA: Websites - Company Website, Root Domain, or Full Domain Addresses - Standardized Address, City, Region, Postal Code, and Country Phone - E164 phone with country code Social Profiles - LinkedIn, CrunchBase, Facebook, and Twitter

FIRMOGRAPHIC DATA: Industry - 420 classifications for categorizing the company’s main field of business Sector - 20 classifications for categorizing company industries 4 Digit SIC Code - 239 classifications and their definitions 6 Digit NAICS - 452 classifications and their definitions Revenue - Estimated revenue and bands from 1M to over 1B Employee Size - Exact employee count and bands Email Open Scores - Aggregated data at the domain level showing relationships between email opens and corporate domains. IP Address -Company level IP Addresses associated to Domains from a DNS lookup

CONSUMER DATA: Education - Alma Mater, Degree, Graduation Date Skills - Accumulated Skills associated with work experience
Interests - Known interests of contact Connections - Number of social connections. Followers - Number of social followers

Download our data dictionary: https://rampedup.io/our-data

This is a list of ONVIF conformant products by Zuken Elmic Inc.. Please note that ONVIF products are self-certified.

This provides a link to the Washington Secretary of State's Corporations Search tool. The Corporations Data Extract feature is no longer available. Customers needing a list of multiple businesses can use our advanced search to create a list of businesses under specific parameters. You can export this information to an Excel spreadsheet to sort and search more extensively. Below are the steps to perform this type of search. The more specified parameter searches provide narrower search results. Please visit our Corporations and Charities Filing System by following this link https://ccfs.sos.wa.gov/ Scroll down to the “Corporation Search” section and click the “Advanced Search” button on the right. Under the first section, specify how you would like the business name searched. Only use this for single business lookups unless all the businesses you are searching have a common name (use the “contains” selection). Select the appropriate business type from the dropdown if you are looking for a list of a specific business type. For a list of a particular business type with a specific status, select that status under “Business Status.” You can also search by expiration date in this section. Under the “Date of Incorporation/Formation/Registration,” you can search by start or end date. Under the “Registered Agent/Governor Search” section, you can search all businesses with the same registered agent on record or governor listed. Once you have made all your search selections, click the green “Search” button at the bottom right of the page. A list will populate; scroll to the bottom and select the green Excel document icon with CSV. An Excel document should automatically download. If you have popups blocked, please unblock our site, and try again. Once you have opened the downloaded Excel spreadsheet, you can adjust the width of each column and sort the data using the data tab. You can also search by pressing CTRL+F on a Windows keyboard.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features

Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling, with a refresh rate ensuring up to 30 million records per month. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 40 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.

Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases

Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.

Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.

Sterling Inc Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

H M Inc Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Number of Registered Company: New: Karnataka: Limited: Non Government: Private data was reported at 14,711.000 Unit in 2024. This records an increase from the previous number of 11,986.000 Unit for 2023. Number of Registered Company: New: Karnataka: Limited: Non Government: Private data is updated yearly, averaging 5,935.000 Unit from Mar 2006 (Median) to 2024, with 19 observations. The data reached an all-time high of 14,711.000 Unit in 2024 and a record low of 2,823.000 Unit in 2006. Number of Registered Company: New: Karnataka: Limited: Non Government: Private data remains active status in CEIC and is reported by Ministry of Corporate Affairs. The data is categorized under India Premium Database’s Investment – Table IN.OC022: Registered Company: Annual: New: Limited: by State: Number of Company.

The global public cloud non-relational databases and NoSQL database market is projected to reach $24,908.32 million by 2033, exhibiting a CAGR of 16.8% during the forecast period (2023-2033). Factors such as the increasing adoption of cloud-based technologies, surging demand for data analytics, and growing need for flexible and scalable databases are driving the market growth. The key types of NoSQL databases include key-value storage, column storage, document database, and graph database. Among these, the key-value storage database segment currently holds the largest market share due to its simplicity, speed, and scalability. Regionally, North America is expected to dominate the market throughout the forecast period, owing to the high adoption of cloud-based technologies and presence of leading technology companies. However, the Asia Pacific region is anticipated to exhibit the highest growth rate during the forecast period, driven by the increasing demand for data analytics solutions and growing awareness of NoSQL databases. Key players in the market include IBM, MongoDB Inc, AWS, Apache Software Foundation, Neo Technologies (Pty) Ltd, InterSystems, Google, Oracle Corporation, Teradata, DataStax, and Software AG. These companies are focusing on innovation and partnerships to expand their market presence and meet the evolving needs of customers.

Crunchbase dataset to map your business ecosystem, make strategic decisions, and gather information on private and public companies. Common use cases include identifying investment opportunities, tracking company growth, and analyzing industry trends.

Use our Crunchbase Companies Information dataset to gain detailed insights into global startups and established companies across various industries. This dataset provides valuable company profiles, funding details, key executives, industry trends, and business performance, tailored for venture capitalists, market analysts, business development teams, and researchers.

By leveraging the Crunchbase Companies dataset, users can discover emerging startups, evaluate investment opportunities, track market growth, and perform competitive analysis. Whether you're seeking to enhance due diligence processes, identify new business prospects, or explore industry developments, this dataset empowers you to make data-driven decisions with confidence. Gain a deeper understanding of the business landscape and stay ahead in the competitive market by utilizing this essential dataset.

Dataset Features

Below is a breakdown of key dataset columns:
- name: The name of the company.
- url: Website or Crunchbase link for the company.
- id: Unique identifier for the company.
- cb_rank: Crunchbase ranking based on relevance and popularity.
- region: Geographic region where the company operates.
- about: Brief description of the company.
- industries: List of industries the company belongs to (e.g., photography, events, professional services).
- operating_status: Whether the company is active or inactive.
- company_type: Classification (e.g., for-profit, nonprofit).
- social_media_links: URLs to the company’s social media profiles.
- founded_date: Year or exact date when the company was founded.
- num_employees: Number of employees in the company.
- country_code: Country where the company is based.
- website: Official company website.
- contact_email: Contact email for the company.
- contact_phone: Contact phone number for the company.
- featured_list: Lists the company has been featured.
- full_description: Extended description of the company’s services or products.
- type: Type of organization (company, startup, etc.).
- uuid: Unique identifier for database tracking.
- active_tech_count: Number of technologies actively used by the company.
- builtwith_num_technologies_used: Number of technologies detected using BuiltWith.
- builtwith_tech: List of technologies used.
- ipo_status: Whether the company is public or private.
- similar_companies: URL of other companies similar to this one.
- image: Link to the company’s image or logo.
- monthly_visits: Estimated monthly web traffic.
- semrush_visits_latest_month: Website visits in the latest month according to SEMrush.
- semrush_last_updated: Last updated date for SEMrush traffic data.
- monthly_visits_growth: Change in web traffic over time.
- semrush_visits_mom_pct: Month-over-month percentage change in visits.
- num_contacts: Number of available contacts for the company.
- num_contacts_linkedin: Number of LinkedIn contacts.
- num_employee_profiles: Number of employee profiles available.
- total_active_products: Number of active products/services offered by the company.
- num_news: Number of news articles about the company.
- funding_rounds: Number of funding rounds the company has gone through.
- Bombora_last_updated: Bombora last updated date on website.
- num_investors: Number of investors associated with the company.
- legal_name: Official legal name of the company.
- num_event_appearances: Number of events the company has appeared in.
- num_acquisitions: Number of acquisitions made by the company.
- num_investments: Number of investments made by the company.
- num_advisor_positions: Number of advisor positions in the company.
- num_exits: Number of times the company has exited an investment.
- num_investments_lead: Number of times the company has led an investment round.
- num_sub_organizations: Number of sub-organizations under the company.
- num_alumni: Number of notable alumni from the company.
- Num_diversity_spotlight_investments: Number of diversity-focused investments.
- num_founder_alumni: Number of company founders who are alumni of a certain institution.
- num_funds: Number of investment funds the company has created.
- stock_symbol: Stock ticker symbol (if public).
- location: City and country where the company is headquartered.
- address: Full business address.
- contacts: List of business contacts.
- current_employees: Number of current employees.
- **semrush_loc