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For teams that need reliable company data without the noise. Researchers, analysts, RevOps, and sales teams use FullInfo when they want:

• Complete coverage of online businesses and organizations.

• Cleaner, de-duplicated company profiles.

• Better visibility on key executives.

• AI-powered search and filtering that makes finding the right companies simple.

If you’ve ever felt frustrated by the limits of LinkedIn-based tools or inflated numbers from legacy vendors, FullInfo is designed for you.

Most data vendors—especially those built on top of LinkedIn—face major limitations:

• Restricted scope: LinkedIn only represents a small subset of global businesses. Entire regions like China, Japan, and much of Latin America are poorly covered.

• Limited company data: LinkedIn profiles are career-focused, with only short descriptions and minimal company details.

• Compliance risks: LinkedIn-based datasets (e.g., Apollo, Seamless AI) are being shut down or restricted, as LinkedIn cracks down on providers scraping or reselling its data. This data is not GDPR-compliant.

FullInfo is the only major company intelligence platform that is not based on LinkedIn data. Instead, we provide a global organization dataset that covers all continents and languages. We are language-agnostic—whether the source is in Japanese, Spanish, Chinese, or Arabic, all data is searchable in English.

We are also 100% transparent: every datapoint in FullInfo shows where it came from and when it was collected. No black boxes, no dodgy scraping, no guesswork.

It’s simple:

1. Check coverage. Search for a company that has a website but no LinkedIn account, or try to find executives who are not on LinkedIn. If your tool shows nothing, it’s likely LinkedIn-based.

2. Look at the data type. Very detailed career paths and education histories across thousands of people? That information is not publicly available on LinkedIn and almost certainly comes from scraped or illicit sources.

3. Ask your provider directly. Ask: Where does this data come from? If the answer is vague or relies on LinkedIn signals, you know it’s LinkedIn data.

FullInfo is different. We are built entirely on public web data, not on LinkedIn scraping. We don’t just mirror LinkedIn—we provide a much broader, deeper, and fresher dataset that includes executives and organizations LinkedIn completely misses.

• Web-wide coverage: Any company with an online presence is included.

• AI-driven discovery and monitoring: We continuously update organizations using advanced AI.

• Domain-centric entity model: One active domain = one company profile (no inflated duplicates).

• Executive visibility: Smarter focus on C-Suite and Directors, even those not on LinkedIn.

• Global and language-agnostic: Covers all continents, all languages, fully searchable in English.

• Full transparency: Every datapoint shows its source and collection date.

• Future-proofed design: Built on modern AI architecture, not legacy scraping models.

FullInfo covers hundreds of millions of organizations worldwide. Our data is broad in scale but also clean and actionable, thanks to our AI-driven approach to deduplication and monitoring.

Because they often inflate their numbers by counting multiple pages (subsidiaries, local offices, or language variants) as separate companies, even when they belong to the same domain. At FullInfo, we unify those under a single profile, giving you cleaner, more accurate data. While competitors may boast tens of millions of “companies,” FullInfo provides hundreds of millions of real organizations with far less duplication and noise.

We aggregate and structure data around domains: public web signals, corporate sites, technical infrastructure signals, and other non-personal, privacy-respecting sources. We rely on AI for continuous discovery and monitoring—not on scraped LinkedIn pages or shady list sellers.

Yes. Currently, FullInfo only includes organizations that have an active website. In the future, we plan to expand beyond this to also include businesses that have no active website, ensuring even broader coverage.

Freshness is built into our model. By continuously scanning the web and applying AI-based monitoring, we ensure that company profiles are always up-to-date. This eliminates stale entries and ghost records.

Yes. We’re designed for large-scale queries (e.g., scanning entire industries or markets). AI-powered curation and verification layers help turn massive results into high-quality, actionable lists.

• AI-driven de-duplication yields cleaner lists.

• Curation layers validate and enrich at scale.

• Smart filters powered by AI surface the right companies faster.

AI assistants like ChatGPT and Perplexity are great for generating answers, but they are not designed as company databases. They don’t continuously monitor the web, don’t unify duplicate entities, and don’t give you structured, exportable company profiles.

Key differences:

• Coverage: AI tools answer questions on demand but don’t maintain a global, continuously updated dataset of hundreds of millions of organizations.

• Structure: FullInfo gives you clean, de-duplicated, structured company profiles with executives, descriptions, and signals. AI tools give free-text answers.

• Transparency: With FullInfo, every datapoint shows its source and when it was collected. AI answers can’t be traced back to a verifiable source.

• Search at scale: FullInfo supports structured filters (industry, region, signals, infra, etc.) so you can analyze markets of 100,000+ companies at once. AI tools can’t reliably return that kind of scoped, repeatable query.

• Compliance: FullInfo is GDPR-respecting and transparent. AI tools often use unverified or scraped data without clarity on legality.

• Freshness & correctness: AI tools frequently return outdated or incorrect data—like old revenue numbers or executives who no longer work at a company—because they simply summarize what they find online without validation. FullInfo subjects all inputs to validation logic: cross-referencing multiple datapoints, blacklisting untrustworthy sources, and building composites from diverse signals. This ensures that the data we deliver is fresher, cleaner, and more reliable.

Put simply: AI tools are conversational. FullInfo is foundational. Many of our customers use both—AI for exploration, FullInfo for the trusted data backbone that feeds their CRM, sales, and research workflows.

We emphasize:

• Coverage of active organizations with active domains.

• Reduction of duplicates.

• Better visibility of executives beyond LinkedIn.

• Verifiable, up-to-date profiles refreshed through AI monitoring.

Yes, but we take a very different approach from traditional sales intelligence platforms. FullInfo provides deep visibility on key decision makers that match the buying personas of our customers. Instead of buying illegally collected LinkedIn data, we use exclusively publicly available data.

This means:

• Fewer total contacts than traditional platforms, but higher quality and depth.

• Better coverage of C-Suite and Directors, many of whom are not on LinkedIn at all.

• Less noise, more accuracy, and fresher data for the focused set of executives we surface.

LinkedIn-based tools often resemble Swiss cheese—missing many of the most relevant decision makers. FullInfo fills these gaps with a cleaner, more reliable contact layer.

Our AI-enhanced filters and facets are tuned for company attributes (infrastructure, industry cues, geography, activity signals) so users can segment, score, and prioritize companies with precision.

Pricing reflects usage patterns and the cost to curate large, high-quality result sets. We offer plans aligned to personas (e.g., analysts vs. sales teams) so you only pay for what you need.

Even if you’re satisfied with your current data provider, FullInfo adds unique value. Our domain-centric model and AI-driven monitoring eliminate duplicates, ghost profiles, and stale data. Many teams use FullInfo to complement existing platforms, uncover missed companies, and build higher-quality target lists for sales, research, and market analysis.