Global B2B Mobile Phone Number Database | 100M+ Verified Contacts | 95% Accuracy Forager.ai provides the world’s most reliable mobile phone number data for businesses that refuse to compromise on quality. With 100 million+ professionally verified mobile numbers refreshed every 3 weeks, our database ensures 95% accuracy – so your teams never waste time on dead-end leads.

Why Our Data Wins ✅ Accuracy You Can Trust 95% of mobile numbers are verified against live carrier records and tied to current job roles. Say goodbye to “disconnected number” voicemails.

✅ Depth Beyond Digits Each contact includes 150+ data points:

Direct mobile numbers

Current job title, company, and department

Full career history + education background

Location data + LinkedIn profiles

Company size, industry, and revenue

✅ Freshness Guaranteed Bi-weekly updates combat job-hopping and role changes – critical for sales teams targeting decision-makers.

✅ Ethically Sourced & Compliant First-party collected data with full GDPR/CCPA compliance.

Who Uses This Data?

Sales Teams: Cold-call C-suite prospects with verified mobile numbers.

Marketers: Run hyper-personalized SMS/WhatsApp campaigns.

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Data Vendors: License premium datasets to enhance your product.

Tech Platforms: Power your SaaS tools via API with enterprise-grade B2B data.

Flexible Delivery, Instant Results

API (REST): Real-time integration for CRMs, dialers, or marketing stacks

CSV/JSON: Campaign-ready files.

PostgreSQL: Custom databases for large-scale enrichment

Compliance: Full audit trails + opt-out management

Why Forager.ai? → Proven ROI: Clients see 62% higher connect rates vs. industry averages (request case studies). → No Guesswork: Test-drive free samples before committing. → Scalable Pricing: Pay per record, license datasets, or get unlimited API access.

B2B Mobile Phone Data | Verified Contact Database | Sales Prospecting Lists | CRM Enrichment | Recruitment Phone Numbers | Marketing Automation | Phone Number Datasets | GDPR-Compliant Leads | Direct Dial Contacts | Decision-Maker Data

Need Proof? Contact us to see why Fortune 500 companies and startups alike trust Forager.ai for mission-critical outreach.

🌍 Global B2B Leads Data | 293M Emails + 100M Mobile Numbers | 95% Accuracy | API & Bi-Weekly Updates Fuel your sales pipeline with the world’s largest, most accurate B2B contact database—verified, actionable, and refreshed every two weeks.

The Forager.ai Global B2B Leads Dataset delivers 293M+ verified emails and 100M+ mobile numbers, all validated for 95%+ accuracy and updated bi-weekly. Ideal for cold outreach, CRM enrichment, and hyper-targeted campaigns, this dataset covers decision-makers across industries, company sizes, and geographies.

📊 Key Features ✅ 270M+ Total Contacts – One of the largest B2B leads database available. ✅ 95% Accuracy Guarantee – AI-validated emails & mobile numbers. ✅ Bi-Weekly Updates – Fresh data to reduce bounce rates. ✅ Global Coverage – North America, Europe, APAC & emerging markets.

📋 Core Data Fields: ✔ Professional/personal Emails (293M+) ✔ Mobile Numbers (100M+) – Direct lines for higher response rates ✔ Full Name, Job Title, Seniority Level ✔ Company Name, Industry, Revenue, Employee Size ✔ Location (Country, City, LinkedIn URL)

🎯 Top Use Cases 🔹 High-Volume Cold Outreach

Launch email/SMS campaigns with verified contacts.

Reduce bounce rates with 95% accurate data.

🔹 CRM & Prospecting Tools

Enrich Salesforce, HubSpot, or Outreach.io instantly.

Build targeted lead lists using firmographics.

🔹 ABM & Intent Data

Layer contacts with technographics for precision targeting.

Track account movements and job changes.

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Source executive/candidates contacts profiles.

Map organizational hierarchies.

⚡ Delivery & Integration REST API – Real-time access for sales tools.

CSV/JSON Files – Bulk delivery via S3, Wasabi, or Snowflake.

Custom Feeds – Managed database solutions.

🔒 Data Quality & Compliance GDPR-Compliant – Ethically sourced, legally compliant.

Suppression Lists – Auto-remove opt-outs and hard bounces.

🚀 Why Forager.ai? ✔ Highest Accuracy (95%) – Industry-leading verification. ✔ Built for Sales Teams – Optimized for cold email/SMS performance. ✔ Enterprise-Grade Freshness – Bi-weekly updates = fewer dead leads. ✔ Dedicated Support – SLA-backed onboarding & troubleshooting.

Tags: B2B Leads | Personal / Work Email Database | Mobile Numbers | Sales Prospecting | CRM Enrichment | Cold Outreach | 95% Accuracy | API Integration

Georeferenced vector-type database, containing the surveyed elements, belonging to the resources and prospecting of the regional territory, surveyed at the acquisition scale 1:10,000. The geographical area covered concerns the entire regional territory.

US B2B Contact Database | 200M+ Verified Records | 95% Accuracy | API/CSV/JSON Elevate your sales and marketing efforts with America's most comprehensive B2B contact data, featuring over 200M+ verified records of decision-makers, from CEOs to managers, across all industries. Powered by AI and refreshed bi-weekly, this dataset ensures you have access to the freshest, most accurate contact details available for effective outreach and engagement.

Key Features & Stats:

200M+ Decision-Makers: Includes C-level executives, VPs, Directors, and Managers.

95% Accuracy: Email & Phone numbers verified for maximum deliverability.

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50+ Data Points: Comprehensive firmographic, technographic, and contact details.

Core Fields:

Direct Work Emails & Personal Emails for effective outreach.

Mobile Phone Numbers for cold calls and SMS campaigns.

Full Name, Job Title, Seniority for better personalization.

Company Insights: Size, Revenue, Funding data, Industry, and Tech Stack for a complete profile.

Location: HQ and regional offices to target local, national, or international markets.

Top Use Cases:

Cold Email & Calling Campaigns: Target the right people with accurate contact data.

CRM & Marketing Automation Enrichment: Enhance your CRM with enriched data for better lead management.

ABM & Sales Intelligence: Target the right decision-makers and personalize your approach.

Recruiting & Talent Mapping: Access CEO and senior leadership data for executive search.

Instant Delivery Options:

JSON – Bulk downloads via S3 for easy integration.

REST API – Real-time integration for seamless workflow automation.

CRM Sync – Direct integration with your CRM for streamlined lead management.

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SOC 2 Compliant: Ensuring the highest standards of security and data privacy.

GDPR/CCPA Ready: Fully compliant with global data protection regulations.

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US Business Contacts | B2B Email Database | Sales Leads | CRM Enrichment | Verified Phone Numbers | ABM Data | CEO Contact Data | US B2B Leads | US prospects data

This patent prospecting report was generated as part of an academic research carried out in the Doctoral Program in Industrial Engineering at the Federal University of Bahia (PEI-UFBA); include abstract, concepts, substances, formulations, analytical methods, and citations. Initially found 32 documents, of which 28 were selected for adherence to the scope of the substance and methods of preparation. The original format of the report generated by the database was preserved.

What happens to patients with cancer engaged in biomedical research when intellectual property regimes and ethical regimes intersect? This qualitative historical study addresses this question by situating the experiences, hopes, and reasons of patients to enter clinical trials within the historical trajectory of informed consent and monoclonal antibodies, the biotechnology underpinning many targeted drugs used in oncological clinical trials and biobank research. Based on fieldwork we undertook in a German university hospital where we interviewed patients and the medical personnel, a historical review, and an ethical analysis we inquire into the effects that financial, legal, and technological changes connected to the relevant pharmaceutical research and commerce have on cancer patients engaged in clinical trials and biobank research. We find that the controversial aspects of monoclonal antibodies, especially those related to the commercial interests at stake, enter the informed consent process mainly in the form of informative gaps. We highlight how a qualitative analysis of the clinic, especially when it is situated against the backdrop of the history of related technological advancements and patent regime, it can serve the purpose of giving voice to subjects who are silenced by regimes of an ethical, epistemic, and commercial kind while pointing to informed consent as an unhelpful device for addressing risks arising from the commercial purposes of biomedical products and infrastructure.

Unlock Unparalleled Business Insights with Our Comprehensive B2B Email Data

Our B2B Email Data is an invaluable resource tailored for data-driven professionals aiming to elevate their business strategies. This dataset has been meticulously curated to offer unparalleled insights, enabling transformative decisions that can propel your organization forward.

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  Versatile and Expansive Use Cases Our B2B Email Data is designed to cater to a wide range of applications and industries:

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Several bibliographic databases have been developed on an IBM personal computer in the Geoscience Information Branch, using free text information retrieval software PC-STATUS. These include SAMREF (all new and some retrospective references from... Several bibliographic databases have been developed on an IBM personal computer in the Geoscience Information Branch, using free text information retrieval software PC-STATUS. These include SAMREF (all new and some retrospective references from 1984), WATER (water prospecting reports), and ENERGY (South Australian energy references). This manual describes the commands and procedures for searching these databases.

REGCHEM (Regional Exploration Geochemistry) is a database of geochemical analyses compiled from open-file mining company reports. The database contains elemental analyses of stream sediment, pan concentrate, BCL (bulk cyanide leach), BLEG (bulk leach extraction gold), soil, and rock chip samples. Entries contain information on the sample type, analytical laboratory, analytical method and detection limits, and analyses for elements in ppm (unless otherwise stated)

New data is not being added to this database because of a lack of resourcing.

The Regional Exploration Geochemistry (REGCHEM) database was developed and managed by GNS Science ca. 1994 to 2016. It is a comprehensive repository of geochemical analyses derived from open-file mining company exploration reports that are held by New Zealand Petroleum and Minerals (www.nzpam.govt.nz). The database includes elemental analyses of diverse geological sample types, such as stream sediments, pan concentrates, soil, and rock chip samples. It provides detailed metadata for each entry, including sample type, laboratory, analytical method, detection limits, and elemental concentrations. Initially developed to investigate geochemical trends of stream sediment samples in selected regions of New Zealand, REGCHEM was expanded to cover the entire country and several sample types. The database encompasses over 284,000 analyses from approximately 53,000 sites. Elements analysed include gold, silver, arsenic, copper, lead, zinc, and others relevant for identifying mineralisation. This database is now archived due to a lack of resourcing for maintenance and updates. The database served multiple purposes: • Identifying natural background levels and geochemical anomalies, both from mineral deposits and anthropogenic activities such as old mine workings. • Supporting mineral prospecting studies by mapping areas with economic mineralisation potential and anomalous pathfinder element concentrations. • Establishing baseline data for monitoring heavy metal pollution. • Assisting in developing genetic models for mineralisation. REGCHEM data can be visualized using a geographic information system (GIS) tool such as ArcGIS or QGIS, and when supplemented with geochemical statistical analyses, enable the spatial representation of anomalies. The database, although no longer updated due to resource limitations, may remain a tool for regional geochemical assessments and mineral exploration. The database is archived as series of CSV text format files and a logical entity relationship diagram. It is also provided in a ‘flat file’ format for quick access and analysis. These files can be downloaded from a link in the ‘Distribution’ tab below. References: Warnes PN & Christie AB. 1995. Regional stream sediment geochemistry database (REGCHEM) for selected regions of New Zealand. In: Mauk JL, St George JD, Australasian Institute of Mining and Metallurgy: p. 611-616.

Christie AB, Sheppard DS, Goff JR, Carver R. 2006. Stream sediment geochemical surveys: a pilot multi-element project near Thames, Hauraki Goldfield, and further developments of the REGCHEM database. In. Australasian Institute of Mining and Metallurgy, 39th New Zealand Branch annual conference: p. 179-189.

An interdisciplinary research team of engineers, geologists, and computer scientists was assembled at LSU to develop unproved methods for prospecting for bypassed oil and to support oil and gas producers in Louisiana. The overall objective of the project was to develop methods for extending the producing life of several types of reservoirs by reducing the amount of oil being bypassed and abandoned. As part of this work, the team collected information available from public sources for several example reservoirs. One task of the project was to develop a format for the compilation of the extensive but cumbersome Louisiana reservoir data so that it could be used by government and industry to evaluate the resource and plan future activities. The existing information system maintained by Louisiana is a Production Audit Reporting System (PARS). It was designed to allow auditing of oil and gas production and severance taxes associated with this production. It was not intended to be used as a database for determining reservoir recovery efficiency or prospecting for oil and gas. Its use for these purposes, however, has been increasing. The database format suggested in this report would allow production information to be easily displayed by reservoir as well as by lease, unit, or well. The data collected as part of the bypassed-oil study was used to illustrate the proposed new format. This pilot database, or atlas, contains information available for 15 reservoirs. It is recommended that LSU continue to compile and publish database information on the potential for bypassed oil in Louisiana's active reservoirs. This technology-transfer activity should focus each year on those active reservoirs involved in hearings of the Louisiana Office of Conservation. It should also focus on reservoirs being screened by LSU for EOR.

The Ossa Morena database is the result of several projects carried out jointly by the following bodies: - The General Directorate of Mines and the Geomining Technological Institute of Spain contracted the national company Adaro to carry out the projects called "Preliminary study for the realization of a database in Ossa Morena" in June 1992 and "Completion and use of the Ossa Morena database" in October 1993. - The Ministry of Economy and Finance of the Junta de Andalucía contracted in September 1992 to Minas de Almadén y Arrayanes S.A. (MAYASA) the realization of the project called "Ossa Database - Morena - I.- Remote sensing eastern area". - The Ministry of Industry and Tourism of the Government of Extremadura contracted in July 1993 the research project "Completion of a Geological-Minera database of the Ossa-Morena area" to Minas de Almadén y Arrayanes, S.A. (MAYASA). During this period of time (1985-1992) several mining prospection projects were carried out in this area on State Reserves, covering a large part of the studied area and in which current research methods were used, with positive results in the metallogenetic knowledge of the Ossa Morena area. The project comprised three distinct phases: - A first, which consisted of the collection and analysis of available geological and mining information. - A second consisted of the application of remote sensing techniques in a large area in the central part of the Ossa Morena area, which allow, on the one hand, the spectral characterization of the different materials that emerge in the work area and, on the other, the realization of the textural study and the structural analysis of the LANDSAT image guidelines. - And, thirdly, the creation of a multidisciplinary database that allows ordering and managing the large amount of information available and can also be used as a methodological tool for prospecting the area. The database was incorporated into SIGMA in 1995, when the final database versions were delivered.

• 500M B2B Contacts • 35M Companies • 20+ Data Points to Filter Your Leads • 100M+ Contact Direct Dial and Mobile Number • Lifetime Support Until You 100% Satisfied

We are the Best b2b database providers for high-performance sales teams. If you get a fake by any chance, you have nothing to do with them. Nothing is more frustrating than receiving useless data for which you have paid money.

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With our simple-to-use system and up-to-date B2B contact list, we hope to make your job easier. You’ll be able to filter your data at Lfbbd based on the industry you work in. For example, you can choose from real estate companies or just simply tap into the healthcare business. Our database is updated on a regular basis, and you will receive contact information as soon as possible.

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We have over 500 million business-to-business contacts that you may segment based on your marketing and commercial goals. We don’t stop there; we’re always gathering leads from the right tool so you can reach out to a big database of your clients without worrying about email constraints.

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• Connect directly with the right decision-makers, using the most accurate database of emails and direct dials. Build a clean prospecting list that you can plug into your sales tools and generate new leads from, right away • Over 500 million business contacts worldwide. • You could filter your targeted leads by 20+ criteria including job title, industry, location, Revenue, Technology, and more. • Find the email addresses of the professionals you want to contact one by one or in bulk.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

description: Shapefile Format- The Solid Non-energy Leasable (SNEL) minerals data set was generated using records extracted from BLM s LR2000 case record database. The record selection criteria specified authorized and pending prospecting permits, preference right leases, exploration leases, competitive leases, noncompetitive leases and use permits for the following commodities:(1) Phosphate (pho) (2) Sodium (sod) (3) Potassium (pot) (4) Sulfur (sul) (5) Gilsonite (gil) (6) Hardrock minerals (hdr) The three-character category codes shown above in parentheses can be used to easily select subsets of records based on the commodity. This data set has been projected to the UTM13N/NAD83 coordinate system.; abstract: Shapefile Format- The Solid Non-energy Leasable (SNEL) minerals data set was generated using records extracted from BLM s LR2000 case record database. The record selection criteria specified authorized and pending prospecting permits, preference right leases, exploration leases, competitive leases, noncompetitive leases and use permits for the following commodities:(1) Phosphate (pho) (2) Sodium (sod) (3) Potassium (pot) (4) Sulfur (sul) (5) Gilsonite (gil) (6) Hardrock minerals (hdr) The three-character category codes shown above in parentheses can be used to easily select subsets of records based on the commodity. This data set has been projected to the UTM13N/NAD83 coordinate system.

The British Columbia Geological Survey (BCGS) manages and maintains a library of over 38,300 mineral Assessment Reports. These reports have been filed by the exploration and mining industry since 1947 and describe exploration work costing over 2.8 billion dollars. The reports contain information on geology, geophysics, geochemistry, drilling, prospecting and physical work.After a one-year confidentiality period, this information is available for planning mineral exploration investment, research studies, land-use planning and resource management. The mineral reports are reviewed for compliance with the Mineral Tenure Act Regulations and indexed in the ARIS (Assessment Report Indexing System) database.

Find all the companies and their establishments. The Sirene® database is updated daily, with around 30 million establishments operating or not. ### IMPORTANT As the Sirene database contains personal data, INSEE draws your attention to the legal obligations arising from it: * The processing of these data falls under the declaration obligations of Law 78-17 of 6 January 1978 as amended, known as the CNIL Law: * Depending on your use of the dataset, it is your responsibility to take into account the most recent dissemination status of each individual. Article A123-96 of the Commercial Code provides that: Any natural person may request either directly during his creation or modification formalities, or by letter addressed to the Director-General of the National Institute of Statistics and Economic Studies, that the information in the register concerning him or her may not be used by third parties other than the bodies authorised under Article R. 123-224 or administrations, for the purposes of prospecting, in particular commercial. ### SIRENE BY ODS ODS presents a consolidated institution base with data from its associated legal unit. #### ** enrichment** * addition of the wording of the NAF codes and legal categories; * addition of legal tranches and track types; * addition of administrative hierarchies (reg/arr/dep/epci); * addition of the geolocation of establishments via a BAN geocoding; * change of certain abbreviations (F/M, O/N, A/C) by the corresponding wording (sexeunitelegale, etatadministratifunitelegale, characterreemployerunitelegale, administrative establishment, establishment, employer character establishment) * addition of a field “first line of address” with the civility + first name person of the legal unit * addition of an address field establishment (concatenation num + type + channel) #### notes * the “start date of establishment” values were rebuilt from an old version for a hundred records whose values were inconsistent. ### IMPORTANT As the Sirene database contains personal data, INSEE draws your attention to the legal obligations arising from it: * The processing of these data falls under the declaration obligations of Law 78-17 of 6 January 1978 as amended, known as the CNIL Law: * Depending on your use of the dataset, it is your responsibility to take into account the most recent dissemination status of each individual. Article A123-96 of the Commercial Code provides that: Any natural person may request either directly during his creation or modification formalities, or by letter addressed to the Director-General of the National Institute of Statistics and Economic Studies, that the information in the register concerning him or her may not be used by third parties other than the bodies authorised under Article R. 123-224 or administrations, for the purposes of prospecting, in particular commercial. ### SIRENE BY ODS ODS presents a consolidated institution base with data from its associated legal unit. #### ** enrichment** * addition of the wording of the NAF codes and legal categories; * addition of legal tranches and track types; * addition of administrative hierarchies (reg/arr/dep/epci); * addition of the geolocation of establishments via a BAN geocoding; * change of certain abbreviations (F/M, O/N, A/C) by the corresponding wording (sexeunitelegale, etatadministratifunitelegale, characterreemployerunitelegale, administrative establishment, establishment, employer character establishment) * addition of a field “first line of address” with the civility + first name person of the legal unit * addition of an address field establishment (concatenation num + type + channel) #### notes * the “start date of establishment” values were rebuilt from an old version for a hundred records whose values were inconsistent. ### IMPORTANT As the Sirene database contains personal data, INSEE draws your attention to the legal obligations arising from it: * The processing of these data falls under the declaration obligations of Law 78-17 of 6 January 1978 as amended, known as the CNIL Law: * Depending on your use of the dataset, it is your responsibility to take into account the most recent dissemination status of each individual. Article A123-96 of the Commercial Code provides that: Any natural person may request either directly during his creation or modification formalities, or by letter addressed to the Director-General of the National Institute of Statistics and Economic Studies, that the information in the register concerning him or her may not be used by third parties other than the bodies authorised under Article R. 123-224 or administrations, for the purposes of prospecting, in particular commercial. ### SIRENE BY ODS ODS presents a consolidated institution base with data from its associated legal unit. #### ** enrichment** * addition of the wording of the NAF codes and legal categories; * addition of legal tranches and track types; * addition of administrative hierarchies (reg/arr/dep/epci); * addition of the geolocation of establishments via a BAN geocoding; * change of certain abbreviations (F/M, O/N, A/C) by the corresponding wording (sexeunitelegale, etatadministratifunitelegale, characterreemployerunitelegale, administrative establishment, establishment, employer character establishment) * addition of a field “first line of address” with the civility + first name person of the legal unit * addition of an address field establishment (concatenation num + type + channel) #### notes * the “start date of establishment” values were rebuilt from an old version for a hundred records whose values were inconsistent.

Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4MM+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

This paper details how to effectively share three-dimensional geological models using data conversion between two mainstream mining software, Micromine and Surpac. It also discusses the impact of this conversion method on geological integrated exploration decision-making guidance. The current situation primarily manifests in the fact that both Micromine and Surpac software have their own advantages and disadvantages, and different users vary in their application and proficiency with these two software programs. Some individuals are adept at using Micromine software but are less familiar with Surpac, and vice versa. Therefore, achieving seamless integration and conversion between these two software programs is crucial for enhancing the efficiency of geological exploration and mineral prospecting. By deeply analyzing the data formats of both software, a complete block file conversion process is proposed in this paper, which is verified by an actual case study. This paper not only explores technical details but also showcases practical application cases, emphasizing the importance of cross-software data conversion in improving the efficiency of geological exploration and mining planning. By optimizing the data conversion process, such as using automated scripts or plugins, the efficiency of data migration from Micromine to Surpac can be significantly improved, reducing manual input errors and accelerating project execution. This paper explores how data conversion can enable the sharing of three-dimensional geological models between two mainstream mining software programs, Micromine and Surpac. Both software programs are widely used in geological exploration and mining planning, but differences in data formats have posed obstacles to information sharing. The article proposes a complete block file conversion process and validates its effectiveness through an actual case study. By simplifying the data conversion process, such as using automated scripts or plugins, the efficiency of data migration can be significantly improved, reducing manual input errors and accelerating project execution. This research is not only valuable for professionals but also appealing to the public interested in sustainable development and technological advancements in the mining industry.

At CompanyData.com (powered by BoldData), we specialize in delivering high-quality, verified business data sourced directly from official trade registers. For Colombia, we offer access to over 3.6 million detailed company records, enabling your business to operate with confidence and precision.

Our Colombian database includes a wide range of firmographic and contact data: • Company names, addresses and registration numbers • Industry classifications (ISIC), legal forms and company size • Hierarchical structures and group affiliations • Key decision-makers, direct emails and mobile numbers (where available)

Whether you're expanding into the Colombian market or need clean, verified data for operational use, our records are consistently updated for accuracy and compliance. Each data point is designed to support a wide range of use cases including: • KYC and AML compliance • Sales prospecting and lead generation • Targeted marketing campaigns • CRM data enrichment • Market research and segmentation • AI training and analytics

We offer multiple delivery options to fit your workflow including tailored Excel or CSV files, real-time access via API and our self-service platform. Whether you need a one-time list or continuous data feed, we make it simple to integrate our data into your systems.

Beyond Colombia, our platform provides access to over 3,619,659 verified companies worldwide, making us your trusted partner for truly global business intelligence. With our expertise and precision-driven data, CompanyData.com helps businesses of all sizes grow, comply and innovate at scale.

Firmographic Data for Company Intelligence, B2B Segmentation & KYB Firmographic data is the backbone of modern B2B decision-making, powering everything from lead scoring and segmentation to compliance, financial benchmarking, and market expansion planning. Canaria’s enriched Firmographic Data product delivers deep visibility into U.S. companies by combining standardized insights on revenue ranges, employee count, and business category with optional location verification through Google Maps metadata.

This clean and analysis-ready firmographic dataset is built for precision. Every record is structured, normalized, and deduplicated to support automated workflows across CRMs, BI dashboards, compliance tools, financial models, and sales platforms. Updated weekly, our firmographic data ensures that teams stay ahead of organizational shifts, while providing the matchability and granularity required to fuel market intelligence at scale.

If you're working with fragmented company information, incomplete lead lists, or outdated third-party data, Canaria’s Firmographic Data bridges the gap between surface-level signals and operational insight.

Use Cases: What This Firmographic Data Solves Canaria’s firmographic data offering is used by sales, risk, finance, compliance, and strategy teams to strengthen daily operations, strategic planning, and automation initiatives.

Company Analysis • Leverage firmographic data to assess a company’s size, structure, and potential impact within its industry • Identify organizational tiers using clean employee size brackets, location counts, and business hierarchy insights • Analyze firmographic profiles at the branch level, matched with Google Maps data to verify presence, operating hours, and reviews • Map the operational footprint of enterprises across ZIP codes, cities, and regions for trend tracking or competitive benchmarking

Know Your Business (KYB) & Regulatory Compliance • Use firmographic signals such as company type, headquarters address, incorporation location, and estimated size for KYB verification • Identify shell entities or mismatched records using cross-source validation with Google Maps-matched firmographic data • Flag risk-prone entities based on abnormal size-revenue-industry patterns or gaps in metadata • Enhance onboarding pipelines and due diligence platforms by auto-enriching firmographic gaps at scale • Comply with local and international KYB regulations with standardized firmographic data structures

Financial Intelligence & Private Market Benchmarking • Use estimated firmographic variables like annual revenue range, employee count, and industry focus to model private market behavior • Benchmark companies against similar-sized peers within the same vertical, region, or revenue bracket • Replace missing financials with proxy signals from enriched firmographic datasets for internal modeling and client analysis • Feed investor signals and fund models with data on size trends, regional density, and revenue tier shifts • Correlate firmographic data with job postings, hiring behavior, and sentiment for growth prediction models

Market Research, TAM/SAM Modeling & Industry Intelligence • Conduct high-resolution market mapping by combining industry codes, company counts, and firm size across specific geographies • Map sector saturation and whitespace using city, ZIP code, or state-level firmographic intelligence • Analyze shifts in vertical presence, workforce concentration, and mid-market vs. enterprise distribution • Tailor customer segmentation models using clean and consistent firmographic fields • Build TAM/SAM datasets using industry, employee size, revenue tier, and location granularity

B2B Lead Generation & RevOps Segmentation • Score and segment inbound leads using enriched firmographic attributes such as company size, region, industry, and revenue • Eliminate low-value or unqualified leads from prospecting databases by applying firmographic filters • Route leads to the right sales reps or vertical pods based on company headcount, location, and category • Enrich lead records automatically with up-to-date firmographic data pulled from verified external sources • Build ABM lists using revenue-based tiers, industry verticals, and mapped branch data via Google Maps enrichment

What Makes This Firmographic Data Unique Deep Enrichment with Verified Firmographic Attributes • Our firmographic data includes revenue range, employee size bracket, industry classification, company type, and regional identifiers — all normalized to enable aggregation, filtering, and modeling.

Matchable with Google Maps for Accuracy and Context • Match your firmographic records with Google Maps to verify physical branch presence, exact addresses, latitude/longitude, phone numbers, and ratings. This adds a real-world signal layer to abstract company data and supports KYB, lead scoring, and risk assessment.

Continuously Updated and Scalable • Weekly refreshes ensure your firmographi...