Technology partnerships
Technology partnerships that strengthen enterprise outcomes
We work within a broad enterprise technology ecosystem. The platforms we recommend are ones we build on daily — with the depth to design, deploy, and operate them in production.
Engagement & partnership models
Flexible engagement models designed for enterprise success
We collaborate with customers, technology providers, system integrators, and consulting organizations through flexible engagement models tailored to project needs and business goals.
Technology Partner
Co-develop AI, cloud, and enterprise platforms by integrating complementary technologies, products, and industry expertise.
Implementation Partner
Deliver end-to-end implementation, integration, migration, testing, deployment, and user enablement for enterprise transformation initiatives.
Managed Services
Provide ongoing application support, cloud operations, platform monitoring, security management, optimization, and continuous improvements.
Co-Innovation Partner
Collaborate on proofs of concept, MVPs, AI innovation labs, industry accelerators, and next-generation digital solutions.
Technology partnerships
Platforms we build on, not just recommend
We work within a broad enterprise technology ecosystem. The following are highlighted per an explicit brief; partnership terms are being confirmed with each vendor.
Redis
Real-time data for responsive AI
Redis powers the low-latency data layer behind responsive applications and AI systems — caching, semantic and vector search for retrieval, session state, and real-time features. It is part of our engineering stack, and we design, deploy, and operate it in production.
[VERIFY] Redis is listed in our technology stack; confirm any formal partnership terms before claiming them.
Vector & semantic search
Fast similarity search over embeddings to ground RAG and enterprise-knowledge systems.
High-performance caching
Sub-millisecond caches that shield primary stores and speed up AI and application tiers.
Real-time features
Data structures and pub/sub for live feeds, messaging, and event-driven experiences.
Session & state management
Shared, fast session and state for horizontally scaled, stateless services.
Streaming & pipelines
Streams as a backbone for decoupled, event-driven data and AI pipelines.
Scalable infrastructure
Clustering, replication, and high availability that grow with demand.
Red Hat
Enterprise open source for AI platforms
Red Hat’s enterprise Linux, container, and automation platforms provide a portable, supportable foundation for cloud-native and AI workloads across hybrid environments — complementing our Kubernetes and DevOps practice.
[VERIFY] Red Hat is not referenced in current corporate materials; confirm the relationship before publishing this section.
Enterprise Linux
A hardened, supportable OS foundation for critical workloads across data center and cloud.
OpenShift & Kubernetes
Enterprise container platform for consistent delivery of applications and AI workloads.
Hybrid cloud
A consistent operating model spanning on-premises and public cloud footprints.
Containers & orchestration
Production-grade orchestration, networking, and storage for containerized workloads.
Automation
Ansible-based automation for provisioning, configuration, and operational consistency.
Application platforms
Runtime and integration platforms that modernize how enterprise applications run.
Openness
Partnerships, stated plainly
We name technologies to signal the depth of our stack — not to imply endorsements we don’t hold. All partner names and marks belong to their respective owners; exact partnership terms are confirmed with each vendor before publication.
Explore a partnership
Building a platform together?
Whether you’re a customer, a technology provider, or a systems integrator, we’ll find the engagement model that fits.