Consider this. An enterprise has invested in Palantir Foundry to accelerate digital transformation. The first few applications are live, business teams are seeing value, and new opportunities are emerging across the organization. But as adoption grows, so does the complexity of operating the platform. Every new use case requires engineering support, continuous optimization, evolving business logic, and platform governance. The challenge is no longer implementing Foundry. It’s sustaining and scaling it.
As organizations move from implementation to long-term platform operations, one question becomes increasingly important: who do they trust to run it? The strongest proof of platform expertise isn’t the number of applications delivered. It’s the level of ownership a team earns while delivering them. Here’s what that trust looked like in practice.
Within eight months, MathCo’s five-person support team grew into a 15-member engineering team trusted to actively develop applications and provide dedicated engineering support across a leading North American grocery retailer’s Palantir Foundry ecosystem. What began as a pilot engagement expanded from three to seven active use cases, reflecting a steady increase in responsibility across the platform.
As the retailer scaled AI-led transformation across various functions, MathCo demonstrated the platform expertise, engineering depth, and delivery discipline to operate Palantir Foundry with the confidence of a seasoned implementation partner. Beyond enabling platform expansion, this engagement reflects MathCo’s operational excellence in managing and evolving enterprise-scale Palantir Foundry environments. It demonstrates how consistent engineering execution can evolve into long-term platform ownership, offering a practical view of enterprise-scale Palantir Foundry expertise in action.
The Journey from Pilot to Platform Owner
MathCo’s engagement began with a focused pilot to support and enhance existing Palantir Foundry applications. The initial mandate centered on application maintenance, including issue resolution, stabilization, monitoring, performance improvements, and incremental enhancements. Rather than treating the engagement as a support function, the team approached it as an opportunity to generate valuable business impact while building deep platform expertise and delivering consistent operational excellence.
As confidence in the team’s delivery grew, so did its responsibilities. The engagement soon expanded from application support into active solution development, with MathCo FDEs (Forward Deployed Engineers) becoming embedded within the retailer’s Foundry ecosystem. As new business functions and applications came under the team’s purview, MathCo steadily expanded its engineering bench to support the growing platform landscape.
Today, the team drives development across seven business-critical use cases spanning sourcing, pricing, inventory management, promotion planning, and supply chain operations. More importantly, the expertise built through this engagement has scaled beyond a single project. With more than 50 FDEs now trained on Palantir Foundry, MathCo has transformed its early experience into an organizational capability that can be replicated across enterprise Foundry implementations.
Platform Fluency Across Business Functions
As MathCo’s role expanded, maintaining consistency across an increasingly complex Palantir Foundry ecosystem became just as important as delivering new capabilities. Regardless of the application or business function, the team’s approach remained consistent: stabilize existing applications, build new capabilities, and continuously optimize business workflows through AI-driven innovation.
Engineering Smarter Commercial Decisions
Revenue Growth Management
Revenue growth management demands a deep understanding of both commercial strategy and the operational workflows that support it. Within the retailer’s Palantir Foundry ecosystem, MathCo improved platform reliability for the enterprise pricing governance application through stabilization, performance optimization, and production issue resolution, enabling smoother day-to-day pricing operations. The team also contributed to applications that enabled more informed pricing and promotion decisions, working closely with business stakeholders to translate complex commercial requirements into scalable platform capabilities. This included an active role in developing new capabilities, enhancing existing workflows, and partnering closely with Palantir FDEs and business teams through user acceptance testing to ensure successful, continuous releases.
Reimagining Sourcing Through Intelligent Workflows
Sourcing and Vendor Cost Management
The Produce Sourcing operations presented an opportunity to move beyond application support and rethink how critical business processes could be executed. Supporting one of the most business-critical and operationally intensive platforms, MathCo improved platform reliability by redesigning data pipelines, optimizing application performance, and implementing proactive health monitoring. These improvements resolved long-standing data quality and latency issues, reducing screen load times by 50% and resulting in a 90% reduction in reported bugs. Building on this foundation, the team shaped the AI transformation roadmap, modeled the business context within the Ontology, and leveraged AIP to build agentic AI workflows that provided real-time commodity intelligence, vendor insights, automated sourcing plans, and negotiation recommendations. The result was a streamlined sourcing process, faster decision-making, and improved vendor cost optimization through AI-powered decision support
Building Operational Intelligence at Scale
Supply Chain Visibility & Merchandizing
Inventory, merchandizing, and supply chain decisions are deeply interconnected, requiring enterprise-wide visibility to support faster, more informed execution. MathCo’s work here began with stabilizing a core application within the retailer’s supply chain ecosystem, spanning six connected tools and over 200 users, before progressing to end-to-end solution design and workflow optimization across the broader ecosystem. From there, the team’s focus shifted from individual applications to the intelligence layer connecting them, strengthening supply chain visibility, inventory accuracy, and merchandising insight so business teams could act on one reliable view instead of fragmented ones. Predictive monitoring capabilities were introduced along the way to improve system reliability and proactively flag potential issues before they affected operations. Among the tools the team built was a purpose-built reporting application for leadership, giving warehouse teams direct visibility into shrink and its underlying causes. By combining platform engineering with a strong understanding of retail operations, MathCo helped business teams move faster on both day-to-day execution and long-term operational planning.
The Discipline Behind the Scale
Supporting a growing portfolio of business-critical applications required more than technical expertise. It demanded an engineering discipline that ensured every application could evolve without compromising platform stability, performance, or user experience. Across the retailer’s Palantir Foundry ecosystem, MathCo established structured delivery practices spanning the entire product lifecycle, from data discovery to business requirements gathering, design to development and testing to documentation, data quality monitoring, and hyper care. Together, these practices created a consistent operating model that enabled multiple applications to scale while maintaining the reliability and governance expected of an enterprise platform.
This disciplined approach also enabled the team to create value beyond the defined scope of work. Leveraging a deep understanding of Foundry’s architecture, MathCo proactively identified opportunities to optimize data pipelines and compute resource utilization, significantly improving platform efficiency. These optimizations delivered approximately $365K CAD in cumulative savings over four months, representing an estimated $1.32M CAD in annualized value. The outcome reflected more than cost optimization. It demonstrated the ability to continuously improve platform performance through architectural expertise and proactive engineering.
As the engagement matured, MathCo’s contribution extended beyond application delivery to strengthening the platform itself. The team established design standards and UI/UX consistency across applications, published a universal design guide to help create a more unified and intuitive user experience while also shaping workload distribution between Snowflake and Palantir Foundry to improve performance and scalability. Across multiple applications, MathCo also identified opportunities for AI-powered workflow optimization, reinforcing its ability to improve platform capabilities while helping business teams unlock greater value from their Foundry investment.
Ready to Maximize Your Palantir Foundry Investment?
This engagement demonstrates what enterprise platform success ultimately requires: deep Palantir Foundry expertise, experienced platform engineers, and the delivery capability to operate, manage, and continuously evolve the platform end to end. Organizations don’t accelerate value by simply expanding their internal platform teams. They accelerate value by partnering with a team that has already built the operating discipline and platform knowledge needed to make Foundry succeed at scale, while taking the time to deeply understand business requirements, working alongside client teams rather than at arm’s length, bringing thought leadership and domain expertise from similar engagements, and fostering a collaborative culture that makes day-to-day partnership genuinely effective.
The journey speaks for itself. What began as support for three Palantir Foundry applications grew into ownership across seven business-critical applications, supported by a dedicated, embedded engineering team driving active development, optimization, and continuous innovation. That’s the strongest evidence of MathCo’s ability to deliver sustained value on Palantir Foundry.
Whether you’re implementing Palantir Foundry and AIP, expanding existing use cases, or looking to maximize the value of your platform investment, MathCo brings the expertise, engineering talent, and delivery capability to help you move faster from day one.
Learn more about MathCo’s Palantir Foundry capabilities or connect with our experts to start the conversation.
Amit R Shah
Delivery Unit HeadAmit R Shah is highly skilled in data science, business strategy, and project management, with extensive experience in CPG, Retail, Finance, and Automotive sectors. He focuses on enabling analytical transformation and self-sufficiency for diverse organizations. A coffee and F1 enthusiast, he also enjoys the outdoors and can be found hiking, exploring new places and cuisines, and appreciating a good movie.
Nikitha Hasbi
Product ManagerNikitha combines product thinking with AI-driven solutioning to design intelligent enterprise workflows that solve complex business challenges. Working across product management, solution design, and AI implementation, she partners with business and engineering teams to build scalable solutions on enterprise platforms such as Palantir and Snowflake across Retail, CPG, Pharma, and Media. Passionate about simplifying complexity, Nikitha focuses on creating intuitive experiences that accelerate adoption and deliver lasting business value. Outside of work, she enjoys learning Indian classical dance, where she finds inspiration in its discipline, creativity, and storytelling.
