LatentView Analytics Limited, a prominent AI-driven analytics, data engineering, and business consulting firm, announced the official launch of BrickShift. Debuting at the annual Databricks Data + AI Summit in San Francisco, the automated framework is engineered to help enterprise organizations migrate legacy business intelligence infrastructure over to Databricks AI/BI while accelerating the adoption of natural language data tools like Databricks Genie.
The software introduction builds directly upon LatentView’s established, multi-year strategic partnership with Databricks as a gold-tier integration partner. By standardizing extraction protocols, the migration toolkit allows companies to modernize their legacy analytical applications, preserve complex historical governance rules, and secure data lineage frameworks without manual, code-heavy reconstruction.
As global enterprises look to deploy scalable artificial intelligence across their commercial divisions, operational progress is frequently hindered by highly fragmented legacy platforms and steep data-governance hurdles. Traditional migration models regularly demand months of manual developer intervention to painstakingly trace data lineage and rebuild corporate dashboards from scratch. BrickShift directly resolves these bottlenecks by automating the end-to-end extraction, structural translation, and validation of legacy dashboards, turning them into native, optimized Databricks assets.
Maximizing Cloud Infrastructure Through Gold-Tier Specialization
The development of the specialized migration platform underscores LatentView’s continued investment within the Databricks data engineering ecosystem. As an active Databricks Gold Partner, the firm operates an extensive technical modernization practice backed by more than 500 professional cloud certifications and a shared portfolio of over 30 global enterprise clients. This engineering footprint is validated by four distinct Databricks specialization badges covering advanced AI implementation, comprehensive security and governance setups, cloud data warehouse migrations, and dedicated solution delivery across the retail, consumer packaged goods (CPG), and travel sectors.
“We see that many organizations want to use AI across commercial and marketing functions—from pricing and promotions to marketing effectiveness and supply chain operations—but their data isn’t ready for it,” said Sunil Kalra, Head Data Engineering Practice & Databricks CoE at LatentView. “That’s where we step in by migrating their data and BI to Databricks. As a Databricks Gold Partner, this is how we best support our clients. At Databricks AI Summit, we look forward to meeting with decision-makers, who can also get a preview of Genie Ignite, our AI/BI Modernization offering through a one-day workshop and a proof of concept on their own data, powered by Databricks Genie.”
Also Read: WisdomAI Unveils Analytics Agents to Turn Enterprise Insights into Autonomous Action
Showcasing a Broad Suite of Specialized AI Applications
Serving as a sponsor at the Explorer stage for the Data + AI Summit 2026, LatentView will be showcasing its live demos and architectural reviews at Booth #531. These include a series of highly-specialized AI solutions designed to enhance retail logistics, pricing operations, B2B customer engagement, and multi-channel marketing:
MigrateMate: AI-enabled data migration system aimed at automating schema mapping processes and reducing complications during transition of enterprise warehouses from Snowflake to Databricks.
Connected Business Planning: Integration of corporate planning processes ranging from early demand sensing upstream to procurement downstream, all the while ensuring target service levels are maintained and total holding costs are minimized.
Hubble: A dedicated pricing and promotion analytics ecosystem optimized for retail and CPG enterprises. The platform pairs customer behavior data with machine learning models to surface deep insights across price pack architecture (PPA), elasticity modeling, brand premiumization, and real-time market response.
RADius: An intelligent B2B account lifecycle engine that centralizes behavioral and transactional data into unified customer profiles. The software generates continuous client health scores and recommends automated, next-best actions to maximize account expansion and retention.
Synapse: A real-time agentic AI personalization engine designed to translate customer touchpoints into hyper-personalized user segments, serving immediate recommendations to lift active marketing conversion metrics.
Impact AI: An intelligent business intelligence platform built especially for corporate marketing departments, designed for querying campaign metrics (paid and owned) via natural language processing to maximize return on investment in advertising.
Smart Innovation: An innovative product development platform powered by AI/Machine Learning algorithms that analyzes external signals about consumers, markets, and behavior to identify new products and accelerate time-to-market.
AURA: A fully AI-powered retail media intelligence platform to assist brands with planning, monitoring, optimizing, and scaling their advertising investments through the retail media network.