Global Alliances & Partnerships
Global Partners
Generative AI for Enterprise-Scale Intelligence
OpenAI provides advanced large language models that support natural language search, reasoning, content creation, and intelligent automation. These models enable organizations to interact with data and systems more intuitively and scalably.
Scadea designs and governs OpenAI deployments so enterprises can safely operationalize generative AI, embedding it into workflows, applications, and decision systems with the controls needed for scale, security, and trust.
Enterprise AI Across the Digital Core
Oracle delivers built-in AI across mission-critical enterprise systems, spanning data, applications, and cloud infrastructure. Its integrated stack supports forecasting, automation, and AI-assisted decisions across finance, operations, and HR.
Scadea helps organizations put Oracle’s AI capabilities to work inside real operating environments by modernizing Oracle platforms, extending them with analytics and AI, and aligning systems to clear business outcomes.
AI-Native Data Cloud for Intelligent Enterprises
Snowflake’s Data Cloud brings AI directly to governed enterprise data through capabilities such as Snowflake Cortex, native LLM functions, and secure data sharing. This allows organizations to apply AI-driven analytics without moving or duplicating data.
Scadea builds AI-ready Snowflake environments, delivers Cortex-based use cases, and integrates Snowflake with analytics and AI platforms to speed insight delivery and support broader AI adoption.
Lakehouse Architecture for AI at Scale
Databricks provides a unified platform for data engineering, analytics, and machine learning, designed for large-scale AI and generative AI workloads. Its open lakehouse architecture supports both fast experimentation and production deployment.
Scadea helps organizations design lakehouse strategies, build ML and GenAI pipelines, and put governance and MLOps practices in place so AI can move from pilots into production systems.
Agentic AI for Autonomous Enterprise Workflows
CrewAI enables teams of AI agents to collaborate, reason, and complete complex tasks across systems and data sources. Its multi-agent framework supports a move from isolated AI use cases to coordinated automation.
Scadea designs enterprise-ready agent systems using CrewAI, adding governance, visibility, and security while embedding agents into real workflows such as operations, analytics, and knowledge management.
AI-Powered CRM for Connected Enterprise Growth
Salesforce brings sales, service, marketing, commerce, data, and AI together on one platform. With Customer 360 and Agentforce, organizations can unify customer context, automate work, and support smarter decisions across the customer lifecycle.
Scadea helps organizations put Salesforce to work in real operating environments by implementing and extending CRM workflows, integrating enterprise and back-office systems, and applying AI and automation across service, sales, and customer operations.
AI-Driven Automation for Enterprise Workflows
Workato is an enterprise automation and integration platform that connects applications, data, and AI into end-to-end workflows. Its low-code environment and AI agents help teams automate complex processes across business systems without heavy engineering lift.
Scadea helps organizations put Workato to work across the enterprise, designing integration patterns, building AI-driven automations, and applying governance so automation can scale across operations, finance, HR, and customer systems.
Emerging Alliances
Microsoft Azure provides a hyperscale cloud platform with built-in AI, data, and security services for enterprise workloads. Scadea applies Azure across data platforms, AI solutions, and enterprise systems to design secure, scalable architectures for regulated environments.
AWS provides a broad cloud platform for AI, analytics, and application modernization on a global scale. Scadea designs AWS-based platforms that support data-heavy workloads, automation, and AI adoption with strong governance and reliability.
Google Cloud delivers analytics, AI, and infrastructure designed for data-driven innovation. Scadea applies Google Cloud services to modern data platforms and AI pipelines to support faster insight and experimentation.
H2O.ai delivers AutoML platforms that speed up model development and deployment. Scadea integrates H2O.ai into analytics and MLOps pipelines to scale machine learning responsibly.
SAP provides ERP and business technology platforms that support core enterprise operations. Scadea modernizes SAP environments, integrates them with data and AI platforms, and enables intelligent automation across key processes.
ServiceNow delivers AI-enabled service management across IT and business operations. Scadea applies ServiceNow to automate workflows, streamline operations, and connect AI-driven insights to service and compliance processes.
Workday offers cloud-based HR and financial management platforms with embedded analytics. Scadea helps organizations extend Workday with data platforms, AI insights, and integrations that improve planning and visibility.
Dremio provides a data lakehouse and semantic layer built for fast analytics. Scadea uses Dremio to enable governed self-service analytics across distributed and cloud-based data environments.
Teradata delivers cloud data warehousing designed for large-scale analytics. Scadea modernizes Teradata environments and integrates them into AI and analytics platforms to support high-performance enterprise reporting.
C3 AI provides industry-focused AI applications for predictive analytics and decision support. Scadea aligns C3 AI capabilities with enterprise data and processes to apply AI in regulated and asset-intensive environments.
LangChain provides a framework for building AI applications and agent-based workflows using large language models. Scadea applies LangChain to design structured and governed AI agents that work with enterprise data and systems.
Perplexity delivers AI-powered search and knowledge discovery based on real-time information. Scadea explores its use for enterprise research, intelligence gathering, and decision support.
Anthropic develops large language models with a focus on safety and reliability. Scadea evaluates their use in enterprise AI systems where governance, trust, and control are critical.
Scadea Global Alliances & Partnerships
By working across a focused ecosystem of global platforms and emerging technologies, Scadea helps organizations build AI systems that perform reliably beyond early pilots.
From data foundations to generative and agent-based AI, our partnerships and alliances support the practical use of AI in real operating environments.
