Need to grow revenue? Better data can help you find the right companies, understand them faster, prioritize opportunities, and engage at the right time. Interzoid Data Intelligence APIs bring high-value business intelligence directly into CRM, Sales, and Marketing workflows, including: • Business demographics and firmographics • Industry and SIC classification • Competitive intelligence • Buying signals and growth indicators • Executive and leadership information • Technology stack intelligence • Company verification and identity • Locations, properties, and facilities • Company websites and digital presence • Real-time business information and enrichment Use Interzoid however it fits your workflow: 🔎 Interactively for research and discovery ⚡ APIs for real-time CRM, Sales, Marketing, and AI workflow integration 📊 Batch processing to enrich entire customer, prospect, or market datasets Turn fragmented business data into actionable intelligence that helps your team identify opportunities, improve targeting, enrich CRM records, prioritize prospects, and ultimately grow revenue. Data Intelligence built for action. interzoid.com/ #SalesIntelligence #DataEnrichment #CRM #MarketingData #RevenueGrowth #B2BData #APIs #SalesTech #MarTech

Append data at high speeds using parallel processing, 50 pre-built functions, and customizable functions. Add unparalleled value to your datasets with a few clicks. blog.interzoid.com/entries/h… #dataROI

The same person often appears in your data many different ways: "William Johnston", "Bill Johnson", "MR WILL JOHNNSON III". To a database, those are three different people. That inconsistency quietly erodes the value of your data. It creates duplicate customer, contact, and member records, splits a person's history across multiple entries, triggers duplicate mailings and outreach, and undermines reporting, analytics, and AI initiatives. It is also hard to fix. Exact-match joins miss these records entirely, and simple fuzzy matching struggles with nicknames, misspellings, titles and suffixes, reversed name order, and international name variations. The Full Name Match API solves this by generating a similarity key for each name, so inconsistent individual names can be matched, deduplicated, and linked within or across your data sources and datasets. Try it now: interzoid.com/apis/individua…

Inconsistent company names undermine data accuracy. See how these variations of Geico Insurance within datasets can cause data analysis issues. Interzoid’s Organization Name Standardization API turns name variations and typos into consistent records for more accurate reporting and better business decisions. Explore the API: interzoid.com/apis/get-org-s…

Inconsistent company names undermine data accuracy. See here seven different ways "General Motors" can appear within a dataset. Interzoid’s Organization Name Standardization API turns name variations, acronyms, and typos into consistent data for more accurate reporting and better business decisions. Explore the API: interzoid.com/apis/get-org-s…

The same company often appears in your data many different ways: "IBM", "I.B.M. Corp", "Intl Business Machines". To a database, those are three different organizations. That inconsistency quietly erodes the value of your data. It inflates customer and vendor counts, splits account histories across duplicate records, and undermines reporting, analytics, and AI initiatives. It is also hard to fix. Exact-match joins miss these records entirely, and simple fuzzy matching struggles with abbreviations, acronyms, typos, legal suffixes, and international name variations. The Company Name Matching API solves this by generating a similarity key for each name, so inconsistent company and organization names can be matched, deduplicated, and linked within or across your data sources and datasets. interzoid.com/apis/company-n…

What Collibra’s Latest Acquisition Says About the Implementation of AI -> Collibra’s acquisition of AI governance startup trail ML points to a growing business opportunity: helping companies control AI as they give it more responsibility. trail ML develops technology that checks whether AI systems meet company policies. It can block AI agents from taking actions that break those rules. This helps Collibra win more business from companies ready to expand their use of AI, but concerned about the risks. The concerns are understandable. Giving AI permission to update customer data, interact with suppliers, or trigger business processes raises the stakes. Mistakes can cost money and damage customer relationships. Data quality is another part of the equation. An AI system can follow the rules and still make a poor decision because it has the wrong information. Duplicate customer records, mismatched company names, and outdated data become more consequential when software acts on them automatically. The business case is clear. Companies investing in AI need better results, fewer costly mistakes, and confidence that their systems are working as intended. Tools that help deliver those outcomes have a big opportunity.

What columns do you wish your spreadsheet had? Describe the data you need, define your output fields, and let Interzoid’s custom AI enrichment work through your file. interzoid.com/apis/batch-dat…

Have a prospect list full of company names? Add revenue, employee counts, and locations with Interzoid’s batch enrichment. Give your next outreach more context. interzoid.com/apis/batch-dat…

One file. One API request. Enrich an entire CSV or TSV with Interzoid. Results arrive as new columns alongside your original data. Skip the per-record API loop. interzoid.com/apis/batch-dat…

Google introduces Gemini 4 Argon, an advanced AI model designed to handle complicated tasks, such as writing code, analyzing business information, and protecting computer systems from cyberattacks. It earned top scores on tests of AI performance and can generate unusually long responses, up to 1 million “tokens,” the small pieces of text AI uses to process and write information. Google is first making the model available to a select group of trusted testers through its Fairwind Program, beginning with cybersecurity professionals. It plans to expand access to software developers, businesses, and the general public later.

Interzoid Batch Data Intelligence Enrichment API: interzoid.com/apis/batch-dat…

Fuzzy Match and identify inconsistent data at scale: match-wizard.interzoid.com/ #Companies #Individuals #Addresses

Understand APIs. See how they work. Put them to use. api-university.interzoid.com…

Pain Point Indicators: Customers facing fragmented cybersecurity architectures with too many point products creating complexity and security gaps. AI adoption expanding the attack surface dramatically - especially machine/agent identities. Rising executive liability for AI security failures (only 6% of organizations have advanced AI security strategy). Identity-based attacks increasing rapidly as organizations scale cloud, automation, and AI. CISOs demand reduced complexity and better tool integration. Agentic AI traffic requires new security frameworks not yet fully built by any vendor.