Specialized talent
for Enterprise + Public Sector Transformation
Remotesome helps enterprises and government organizations turn AI ambition into scalable, secure, production ready capability.



Enterprises are investing in AI
$226B
Enterprise spending on AI embedded in core biz ops
IDC, 2025
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75%
expected growth next year in enterprise LLM budgets
Andreessen Horowitz, 2025

88%
of CEOS expect growth in AI spend YoY for 5 years
Whatrton/GBK Collective, 2025

25%
Growth in AI engineering hiring (openings)
LinkedIn, 2025

yet, are struggling to Implement it
87%
of enterprises stuck in AI pilots or struggling to scale
Rockspace 2025 AI Report
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40%
of enterprises cite lack of skilled AI/cloud professionals as #1 constraint
Rockspace 2025 AI Report

68%
say scaling AI remains their biggest challenge despite increased investment
Rockspace 2025 AI Report

1 in 4
of employees have received training needed for AI transformation
BCG AI at Work, 2025

AI budgets are surging, but execution is stalling. Most organizations lack specialized engineering talent needed to move from pilot to production
Our Unique Differentiators

We built our core specialization in sourcing AI native talent through unique channels.
Elite AI/ML & Data Engineering Talent

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Flexible, Long-Term Resourcing
Enterprise Transformation Experience
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Registered Partners of Claude Partner Network
These certification programs set the standard for the framework, reasoning, and engineering work these deployments demand.
Post Implementation Support +Assessment
Remotesome also conducts stakeholder and employee surveys to assess adoption, alignment, and overall readiness, ensuring teams are fully aligned with the newly implemented AI solutions and workflows.
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Secure, Compliant Deployment
Building The Team
1. Ecosystem Sourcing
Elite AI/ML engineers sourced through mentor referrals—not job boards.

2. Certifications
Any relevant certifications or compliance for relevant project work completed

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3. Team Assembly
Cross-functional AI pods: 1–5 Engineers + AI Agents, Project tailored

4. Solution Design
Workflow audit, success metrics agreed, scope alignment and SOW signoff

Delivering the Outcome
8. Kaizen
Continuous improvement on implemented workflows based on quarterly results

7. Adoption Measurement
Stakeholder and employee surveys on adoption, alignment, readiness, with follow-up sessions where scores flag.

6. Enablement + Handover
Remotesome SMEs train your teams on the new workflows for proper transition

5. Resource Deployment
Teams embedded in customer engagements for delivery. 3 potential deployment models
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How do we differ?
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