
AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack.
At its core is the AnalyticsCreator Governed Control Model, which keeps business meaning, data structures, transformation rules, dependencies and technical implementation connected in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design.
Generated assets can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, 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.
Changes made in the model can be propagated across dependent project assets, while lineage, documentation and impact analysis remain connected to the underlying design. This helps teams reduce repetitive engineering work, standardise delivery and understand the effect of change before regenerating affected assets.
AnalyticsCreator generates native Microsoft technology rather than requiring a proprietary runtime. Organisations retain ownership of the resulting implementation and can integrate generated assets into existing Git, Azure DevOps and CI/CD processes.
Design Intelligence extends this governed project context into AI-assisted data engineering by giving authorised AI tools and agents 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, SAP-to-Microsoft analytics architectures and repeatable data product engineering.
Learn more

InboxAlly is an email deliverability platform for senders whose messages are landing in spam or promotions instead of the primary inbox. It repairs and protects sender reputation at the domain and IP level, warms up new domains and IPs on an adaptive schedule, and shows where messages actually land through inbox placement testing across Gmail, Outlook, Yahoo and other major mailbox providers. Live blacklist monitoring and deliverability alerts surface problems as they develop rather than after a campaign underperforms, and an ML-modeled sender score makes reputation measurable week to week.
InboxAlly runs alongside the stack you already have. It works with any ESP, SMTP service or custom sending infrastructure - including Mailchimp, SendGrid, Amazon SES, Brevo, Klaviyo, HubSpot and Instantly - with no migration and no change to how you send, and without handing over your sending credentials. A REST API and native integrations support programmatic setup, and separate sender profiles let agencies and multi-brand senders manage many domains side by side.
Based in New York, InboxAlly supports email marketers, agencies, cold outreach teams, SaaS senders and deliverability consultants, from a single domain to enterprise sending programs. Every plan includes a dedicated customer success manager and 24/7 live support, and evaluation starts with a 10-day free trial that requires no credit card.
Learn more
Geology by SeisWare
Geology by SeisWare is a fast and intuitive interpretation tool that enables efficient geological workflows. Our Petrophysical Calculator is a client favorite; create and customize calculations like net pay, assign zone attributes, and more! You’re the expert so we develop our software with your advice and guidance. We’ve shaped our software with client focus groups and user feedback. Our software packages work together so that your team can too! Geology is fully integrated with Geophysics by SeisWare for seamless data integration and fast results without importing and exporting data. Your plans move fast, so our software needs to keep up. Geology by SeisWare is intuitive and responsive. You’ll be surprised how fast you can go! Run multiple calculations in sequence with a variety of inputs like log curves, log curve aliases, zone attributes, and previous calculation outputs. Perform aggregate functions such as summations and averages over data.
Learn more