The Platforms
Behind Our Builds.

OpenAI's models sit at the core of most of what we build. When an engagement needs strong reasoning, multi-step decision making, or high quality generation across formats and languages, GPT is where we start.

We use it across agentic workflows, document intelligence, conversational interfaces, and anywhere the task demands a model that can hold context and act on it reliably at enterprise scale.

Claude handles the work where getting it wrong isn't an option. Financial services, legal review, compliance sensitive workflows — use cases where output quality, consistency, and tone are as important as capability.

Anthropic's focus on safety and instruction following makes Claude the right choice when enterprises need AI that behaves predictably under pressure, across long documents and complex policy environments.

When AI agents need to operate inside real enterprise systems — ERP, ITSM, finance, and HR — we use Automation Anywhere's APA platform as the orchestration layer. It handles the coordination, governance, and process reasoning that makes agents production ready, not just demo ready.

It's how we take agentic builds from a working prototype to something a Fortune 500 can actually run at scale.

Deda brings decision intelligence into our engagements where operational planning is the core problem. Demand forecasting, inventory optimization, scenario modeling for clients in retail, distribution, and manufacturing who need AI that integrates with their existing stack and produces decisions, not just dashboards.

We've used Deda's platform in production environments serving some of the world's largest fashion and enterprise ERP clients.