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InTheCloud

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Enterprise AI Systems & AI Engineering Pods

InTheCloud is an enterprise AI engineering consultancy. We design, engineer, and deploy production-grade artificial intelligence systems that move out of pilots and directly into core business workflows.

Rather than high-level slide decks or brittle prototypes, our senior forward-deployed engineering pods build directly on your enterprise cloud infrastructure (AWS Bedrock, Azure OpenAI, GCP Vertex) with stringent security and evaluation standards.

Engagement Models:

  • Min project size
    $50,000+
  • Hourly rate
    $150 - $199 / hr
  • Employees
    50 - 249
  • Locations
    Sarasota, FL
  • Year founded
    Founded 2023

1 Locations

  • Sarasota , FL

Service Lines
AI Consulting
30%
AI Development
30%
Cloud Consulting & SI
20%
Custom Software Development
20%

No Focus Areas have been added yet…

Industries
Financial services
25%
Medical
25%
Education
20%
Retail
20%
Government
10%
Clients
Midmarket ($10M - $1B)
60%
Enterprise (>$1B)
40%

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Our Story

Executive leaders face intense pressure to deliver measurable AI ROI without risking enterprise data security, compliance, or customer trust. We built InTheCloud to be the calm, trusted engineering partner who bridges that gap. Working shoulder-to-shoulder with your teams, our senior engineers move high-potential AI pilots into hardened production systems directly inside your VPC. We protect your data, eliminate vendor lock-in, and ensure you retain full ownership of every line of code.

What Sets Us Apart

Direct Senior Engineering & Executive Alignment

Every engagement is led and staffed directly by senior AI and cloud systems engineers. We integrate seamlessly with internal technical teams, providing high-velocity delivery, architectural rigor, and transparent collaboration from day one.

Enterprise Governance & Full Client Ownership

All architectures deploy directly within your secure cloud boundary (AWS, Azure, or GCP) under strict governance standards. We ensure zero external data retention, complete compliance alignment, and full client ownership of all code and IP.

Disciplined Path from Pilot to Production

We focus on production readiness rather than speculative proofs of concept. Through rigorous evaluation harnesses, VPC integration, and systematic rollout phases, we deliver resilient, observable AI systems designed for enterprise scale.

Tools and Technology

AWS
Microsoft Azure
Google Cloud Platform
Azure DevOps
GitHub
Power BI
Docker
Jira
Tableau
Kubernetes
Jenkins
Terraform

Commonly Asked Questions

We operate through direct Senior AI Engineering Pods working in agile two-week sprint cycles. Engagements integrate directly into your existing toolchain (Jira, Azure DevOps, GitLab) with clear milestone deliverables, automated evaluation harnesses, and weekly executive demonstrations. Clients have direct, daily access to senior engineering leads—ensuring full transparency, architectural rigor, and zero project management overhead.

Timelines depend on the engagement scope: • Proof of Value (PoV): 4 to 8 weeks to deliver a functional, validated system with measurable performance benchmarks. • Production AI Deployment: 3 to 6 months to harden architectures, implement security guardrails, integrate enterprise data pipelines, and deploy live. • Embedded Engineering Pods: Flexible multi-quarter engagements scaled to your technical roadmap.

Yes. Security and compliance are foundational to our delivery model. We build and deploy systems aligned with SOC 2 Type II, ISO 27001, HIPAA, and GDPR standards. Because our architectures deploy directly within your own cloud boundary (AWS, Azure, or GCP VPCs), your proprietary data never leaves your environment, no external data retention occurs, and your systems remain fully audit-ready.

We enforce strict Zero Data Egress and Zero Data Retention principles. We never train public foundation models on client data, and all AI workflows run securely within your enterprise cloud tenancy. From contract signing onward, our clients maintain 100% ownership of all source code, pipeline configurations, evaluation harnesses, and proprietary IP generated during the engagement.

Every engagement is staffed 100% by senior AI, cloud, and systems engineers—we have zero junior handoffs and no offshore outsourcing layers. Your internal technical and business leaders collaborate directly with seasoned practitioners who have shipped enterprise software at scale, ensuring rapid decision-making, deep domain expertise, and executive-level accountability.

Locations (1)

8051 North Tamiami Trail Sarasota, FL, United States 34243

2 - 5

Contact InTheCloud

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InTheCloud LLC

(1)
InTheCloud LLC Logotype

Zaid Doleh