Artificial Intelligence

Transform Your AI Pilots into Enterprise-Ready Architecture

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We help IT leaders build their organization’s cognitive architecture by deploying scalable infrastructure, extracting maximum knowledge, and enabling orchestration of models, LLMs, and autonomous agents.

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Delivering measurable business impact, faster.

Redesign’s AI Portfolio is built to help organizations confidently move from pilot to production. Anchored by Cognitive Architecture, Open Cloud, and an Open Data Platform, our solutions remove common barriers to enterprise AI adoption. Redesign’s turnkey solution addresses compliance, protects intellectual property, optimizes costs, and enables real-world integration, so AI delivers measurable business impact, faster.

Cognitive Architecture

Redesign’s Cognitive AI Architecture enables enterprises to deploy AI with confidence by unifying intelligence, data, and governance into production-ready systems.

Open Cloud

Removes infrastructure constraints from AI adoption by enabling seamless deployment, integration, and scaling across environments allowing AI to move from pilot to production faster.

Open Data Platform

Alleviates data friction from AI adoption by delivering trusted, governed data that AI systems can safely use to drive real business outcomes.

Key Benefits

The Redesign AI Platform delivers enterprise-ready AI with speed, trust, and flexibility.

Faster Path from Pilot to Production

Redesign’s AI portfolio is built to move beyond pilots by providing a production-ready foundation that turns AI ideas into deployed, operational systems faster and with less risk.

Trusted, Governed AI at Enterprise Scale

With built-in compliance, IP protection, and data governance, the portfolio enables organizations to use AI confidently across the business while meeting security, regulatory, and operational requirements.

Flexibility Without Lock-In

By combining Cognitive Architecture, Open Cloud, and an Open Data Platform, the portfolio gives enterprises the freedom to choose models, clouds, and data sources while optimizing performance, cost efficiency, and long-term adaptability.

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