New updates have been reported about Simform.
Claim 55% Off TipRanks
- Unlock hedge fund-level data and powerful investing tools for smarter, sharper decisions
- Discover top-performing stock ideas and upgrade to a portfolio of market leaders with Smart Investor Picks
Simform has been selected as a Microsoft Fabric Featured Partner, underscoring its position in helping enterprises consolidate fragmented data estates and build AI-ready analytics platforms on Microsoft’s unified data stack. The designation, which builds on Simform’s existing Azure Expert MSP and multiple Microsoft Solutions Partner credentials, signals increased strategic alignment with Microsoft and is likely to enhance Simform’s access to joint go-to-market, co-innovation, and enterprise transformation opportunities.
The company has been investing heavily in its data and AI engineering practice to move customers from Fabric pilots to production-scale platforms, focusing on legacy data warehouse modernization, governed data foundations, self-service analytics, and preparation for AI and Copilot use cases. Recent work with a North American logistics provider involved consolidating disparate analytics and EDW systems onto Fabric, standardizing governance, enabling self-service analytics for finance and operations, and creating an AI-ready data lake, supported by proprietary accelerators such as TrueMorph and reference migration playbooks.
CEO Prayaag Kasundra highlighted a market shift toward unified data platforms, positioning Fabric’s SaaS model as a compelling solution for enterprises seeking coherence and cost-efficiency in the data layer, while CTO Hiren Dhaduk emphasized that competitive advantage in AI will depend on trusted, adaptable data platforms rather than the sheer number of AI agents. Simform now supports this strategy with more than 340 Azure-certified engineers and experience across over 50 Azure transformation engagements, and will reinforce its role in Microsoft’s ecosystem as a Silver Sponsor at FABCON 2026, where it plans to engage customers on enterprise Fabric operating models and AI-ready data foundations.

