We engineer enterprise AI systems that make it into production.
InTheCloud is an enterprise AI engineering consultancy that takes AI initiatives from strategy and pilot into secure production. We engineer agentic systems, retrieval, integrations, evaluation, cloud infrastructure and the software around the model for organizations where reliability, governance and business outcomes matter.
Enterprise delivery credentials
- SOC 2 Type II
- ISO 27001
- AWS / Azure / Google Cloud
- Senior engineering teams
Evidence from a production AI platform.
The AI opportunity is clear. The path to production is not.
Most organizations do not come to InTheCloud because they need another AI strategy. They come to us when an initiative has reached the point where engineering, integration, governance and production accountability become the constraint.
AI strategy exists, but there is no implementation path
An executive mandate or roadmap exists, but the organization does not have the engineering capacity or production architecture to execute it.
AI engineering consulting servicesThe pilot worked, but production stalled
A prototype proved the idea, but integration, security, evaluation, governance or operating requirements are preventing deployment.
Production AI implementationAgentic AI needs to connect to enterprise systems
The organization wants agents that can work across applications, APIs and data while maintaining permissions, auditability and human oversight.
Agentic AI engineeringAI needs a production engineering team
The organization needs senior engineers who can work alongside internal teams across applications, retrieval, integrations, evaluation, cloud and production operations.
Enterprise AI engineering servicesFour practices, one engineering organization.
Most of our work spans more than one discipline. We staff every engagement with an integrated pod of builders — not handoffs between siloed teams.
Software Engineering
Product engineering and platform builds for commerce, payments, supply chain, and customer experience systems. Event-driven architectures, API platforms, and developer experience.
Applied AI
From foundation-model selection to production deployment: RAG architectures, agentic workflows, and AI-augmented operations grounded in enterprise data — with the governance to ship them safely.
Cloud Modernization
Landing zone design, workload migration, FinOps, and multi-cloud governance. We modernize what's worth modernizing — and decommission what isn't — with a clear-eyed business case.
Cloud Security
Zero-trust architecture, identity modernization, CSPM, and incident response. Built for organizations where breach blast-radius is measured in regulatory exposure, not just dollars.
Where enterprises start with us.
When an initiative moves forward, we build toward a production system your engineers can own and operate. These are the routes in.
Senior builders, embedded in your team.
We go deep, not wide.
Our delivery teams specialize by industry. That means builders who already know your regulatory landscape, your data models, and the systems your team is replacing — not generalists learning on your dollar.
Insights from the engineering floor.
Building a production MCP server: a working implementation guide
A complete walkthrough of shipping a Model Context Protocol server into an enterprise environment — tool design, authentication, least-privilege scoping, idempotency, error surfaces, and the tests that keep it safe.
An evaluation harness for Claude in regulated environments
How to build the offline evaluation suite that lets a bank, insurer or health system change prompts and models weekly without waiting on a manual review — golden datasets, rubric grading, drift monitoring, and what to show a model risk committee.
What an enterprise agentic AI pilot actually costs
An honest, line-by-line breakdown of a 30-day agentic AI pilot in a large organization — engineering effort, model spend, security and compliance time, the internal costs nobody budgets for, and what production adds on top.
What We’ve Learned Hardening GraphQL Storefronts at Scale
Five recurring engineering patterns for improving GraphQL storefront reliability, from test-suite health and Kafka resilience to schema governance, observability, and ownership.
The retail merchandising stack is being rewritten by LLMs — quietly
How AI-driven assortment, search, and pricing are quietly displacing decade-old rules engines. Where the durable moats are forming — and where retailers are spending real money on what will turn out to be table stakes.
The 18-month FinOps maturity curve, mapped against real spend data
A pragmatic framework for understanding where your organization sits on the cloud financial management curve. The phase transitions where most organizations stall — and the leading indicators that signal you're ready to move on.
Evaluating an AI partner?
Straight answers to the questions buyers ask before shortlisting a firm — written for the person who has to defend the decision internally.
How to choose an AI implementation partner
The evaluation criteria that separate firms who ship production systems from firms who deliver recommendations.
Read the guideWhat AI implementation actually costs
How engagements are scoped and priced, what drives the range, and how to compare quotes on equal terms.
Read the guideBuild vs buy AI
When a vendor product is the right answer, when custom implementation wins, and the hybrid most enterprises land on.
Read the guideEnterprise AI consulting firms compared
When a large strategy firm is the right choice — and when a senior, engineering-led partner delivers more.
Read the guideFor Technology & AI Ecosystem Partners
Your customers are asking for AI. You don't have to build every specialized capability internally. InTheCloud works with frontier AI labs, AI-native companies, cloud and platform providers, systems integrators, software companies, and strategic solution providers to bring specialized AI Engineering and implementation capability into enterprise opportunities.
Partner With InTheCloudReady to get back to building?
Tell us about the engagement. We typically respond within one business day with a named Builder who can talk substance — not a generic sales pitch.
Prefer email? info@inthe.cloud
What happens next
- 30-minute builder-led call
- No generic sales pitch
- Architecture, feasibility and constraints
- A recommended next step