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  • Generative AI

ProCogia Launches Data Science in a Box for Secure Multi-Cloud AI


ProCogia Launches Data Science in a Box for Secure Multi-Cloud AI
  • Source: Source Logo
  • |
  • September 23, 2025

ProCogia, a leading AI and data science consultancy, has introduced Data Science in a Box, a turnkey solution that allows enterprises to integrate large language models (LLMs) into data science workflows securely across AWS, Microsoft Azure, and Google Cloud. Launched at Posit Conf 2025, this platform addresses key barriers to generative AI adoption by combining speed with robust governance, compliance, and intellectual property protection.

Quick Intel

  • ProCogia launches Data Science in a Box for multi-cloud generative AI.
  • Deploys in as little as one week with enterprise-grade security.
  • Integrates with Posit Workbench or standalone via Workbench Connect Toolkit.
  • Supports LLM packages like {ellmer}, {shinychat}, {langchain}, and {strands-agents}.
  • Routes requests through AWS Bedrock, Azure OpenAI, and Google Vertex AI.
  • Features token-level controls, no shared API keys, and auditable logging.

Enabling Secure AI Adoption

Generative AI promises transformative efficiency, but concerns over IP exposure and governance have limited its use in regulated industries. Data Science in a Box eliminates these hurdles by leveraging cloud-native AI services for seamless, controlled access. IT teams maintain oversight through token-level policies that govern usage by user, team, and project, while developers gain frictionless integration of LLMs into workflows, ensuring AI evolves from experimental to operational asset.

Multi-Cloud Flexibility and Governance

The solution supports deployment on AWS, Azure, or Google Cloud, drawing on each provider's built-in security models. It works with or without Posit Workbench, offering maximum adaptability. Requests are routed securely without manual API key sharing, preventing overspend and data risks. Centralized logging and guardrails ensure compliance, while knowledge bases ground AI responses with enterprise-specific content for accurate, context-rich outputs.

Industry Applications and Deployment

In life sciences, ProCogia applies the platform to accelerate SAS-to-R migrations, embedding CDISC standards and code examples into knowledge graphs for instant querying in IDEs. This maintains traceability while shortening timelines. The turnkey service includes environment assessments, SSO integration, toolkit configuration, custom connectors for Salesforce and SharePoint, and enablement sessions, enabling phased or rapid rollouts in one week.

"Our clients want the speed of LLM adoption without sacrificing governance or security," said Brian Carter, Delivery Manager at ProCogia. "Data Science in a Box puts IT in control of LLM use through token-level policies, while giving developers seamless access to the tools they need."

"For companies that can't risk exposing their intellectual property to the public, generative AI has felt out of reach," said Bill Carney, CEO of ProCogia. "Data Science in a Box changes that. While traditional deployments demand hundreds of IT staff and months of effort, we make it secure, governed, and enterprise-ready—in as little as a week. It's not just a toolkit—it's the blueprint for the future of AI: safe, scalable, and instantly operational."

This launch positions ProCogia as a key enabler for AI transformation, particularly in life sciences, telecom, and financial services, where secure, scalable intelligence drives competitive advantage.

About ProCogia

ProCogia is a data and AI consultancy headquartered in the Pacific Northwest. We help enterprises transform complex data into actionable intelligence, specializing in life sciences, telecom, and financial services. By combining cloud-native infrastructure with data science expertise, ProCogia empowers clients to accelerate AI adoption, improve decision-making, and unlock innovation.

  • Generative AIMulti CloudAI GovernanceData ScienceSecure AI
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