Accelerate enterprise AI delivery through forward deployed engineering

Embed Claude-certified Forward Deployed Engineers to build production-ready AI systems with measurable business outcomes.

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years of engineering excellence
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technology professionals
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digital transformation engagements

Enterprise AI is no longer limited by innovation

The next phase of AI adoption depends on engineering execution, production readiness and enterprise governance.

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Production Readiness

Enterprise AI demands governance, scalability, security, observability, and deployment beyond successful proof-of-concepts.
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Engineering Capacity

Internal engineering teams lack dedicated bandwidth to operationalize enterprise AI initiatives at scale.

A collaborative engagement model built for enterprise AI

A phased engagement designed to reduce implementation risk, accelerate enterprise AI delivery and enable long-term engineering success.

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Production Readiness
and Cost Review

Evaluate architecture, governance, deployment readiness and token economics to define a clear path from proof of concept to production.
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Collaborative
Engineering Sprint

Co-execute with your engineering teams to build, validate and deploy AI solutions through established development and release practices.
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Dedicated Forward
Deployed Engineering

Scale enterprise AI delivery with an embedded engineering capability that strengthens internal expertise through continuous knowledge transfer.

Forward Deployed Engineering for enterprise AI execution

Co-execute with your teams to move critical AI initiatives from proof of concept to production.

Enterprise AI initiatives

Accelerate AI initiatives without adding permanent engineering capacity.

FDEs work within your engineering workflows, helping move priority initiatives toward production while your teams retain control.

AI product development

Accelerate AI-powered product development without slowing the roadmap.

FDEs co-execute with product engineering teams to build, validate and ship AI capabilities while preserving product knowledge and IP.

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