We’re excited to share that we’ve added Palantir Foundry and Palantir AIP to our enterprise data and AI technology stack to help our clients solve complex challenges at scale and build AI systems that are ready for real-world operations, not just experimentation.
In our work with enterprise clients, we consistently see the same challenge: AI ambitions outpace data readiness. Models evolve quickly, but fragmented systems, low-quality data, and slow context updates decelerate full-scale AI adoption. We address this gap with Palantir Foundry. It functions as an enterprise data operating system, bringing together data integration, connections to source systems, modeling, governance, and lineage in a single governed environment. For our clients, this means a reliable, shared data foundation that supports analytics and AI across teams.
With Palantir AIP, we then build on top of that foundation. It introduces AI-native capabilities such as agent workflows, conversational interfaces, and large language model transforms, all operating within enterprise-grade controls. This aligns naturally with how we design agentic AI systems, where agents and copilots act based on rich, personalized context and remain transparent, auditable, and aligned with business rules.
AI only creates value when it’s grounded in trustworthy data and the right operational context. Foundry provides the data backbone, while AIP enables agents to reason and act responsibly. Together, they fit perfectly with how we help enterprises move AI into production.
— Alexey Spas, CEO & Co-Founder, Instinctools.
By combining Palantir Foundry and AIP with our consulting and engineering expertise, we support clients at every stage, from data preparation for AI to embedding agentic systems into real workflows. The result is AI that goes beyond pilots and demos, delivering measurable impact while meeting governance, security, and compliance expectations.
