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SalesTarget.ai — AI-Powered Sales Intelligence Operating System Find & Enrich with 840M+ profiles. Validate contacts. Reach buyers on Email and LinkedIn. Close with a CRM built for salespeople — Power Dialer included. SalesTarget.ai is a Sales OS built for outbound-driven B2B companies, agencies, and modern revenue teams. It centralizes every stage of the sales workflow — from data intelligence and enrichment to outreach, pipeline management, and AI assistance — eliminating the need for multiple disconnected tools. At its core, the Intelligence Engine delivers prospecting power via 840M+ profiles, 150M+ company entities, 4,000+ data signals, and 50+ premium data providers — including real-time intent signals that surface in-market buyers before your competitors do. Key capabilities: Cold Email Outreach — smart sending, warm-up sequences, spintax & unified inbox Power Dialer — auto-sequential dialing directly from the CRM LinkedIn Automation — connection requests, InMail & multichannel drip sequences Built-in Email Validation — reduce bounces & protect sender reputation Integrated CRM — pipeline, deals, call logs, tasks & team collaboration AI Co-pilot — find leads, build sequences & launch campaigns via simple chat commands Intelligence → Enrichment → Validation → Email → Power Dialer → LinkedIn → CRM → AI Co-pilot. One platform. Infinite scale.

AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack. Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design. Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns. Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows. Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets. Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules. Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.