An AI-first engineering practice

Building the systems that retailers, banks, and health systems run their business on.

InTheCloud is an AI-first engineering consultancy delivering enterprise AI implementation and AI engineering services. We take AI initiatives from strategy and pilot into secure production AI in the cloud — agentic systems, retrieval, evaluation and the senior software engineering behind them — for organizations where downtime, drift, and decisions all cost real money.

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Read our case studies

Enterprise delivery credentials

  • SOC 2 Type II
  • ISO 27001
  • AWS / Azure / Google Cloud
  • Senior engineering teams
Built across the enterprise stack
Clouds
AWS·Azure·Google Cloud
Foundation Models
Anthropic·OpenAI
Compliance
SOC 2 Type II·ISO 27001
01 — Featured WorkRetail · eCommerce Modernization
Active client work · 2026
Case Study 01

Re-platforming
ecommerce at scale

A large ecommerce company

Unlocked a new marketplace revenue channel and hardened the storefront powering it — without slowing the in-house feature roadmap.

A large ecommerce company had a new third-party marketplace revenue channel ready to launch — but blocked by accumulated technical debt in the high-volume eCommerce platform underneath it. We embedded a senior engineering pod inside their storefront team to clear the path.

The pod ran two tracks in parallel — feature delivery in the client's sprint cadence, and the reliability and performance hardening their in-house team had never had room for.

1 channel
New marketplace revenue stream unlocked — Mirakl 3P integration delivered release-ready
0 loss
Message loss in Kafka resiliency simulation against database-outage scenarios
3 surfaces
Customer surfaces hardened — web, iOS, and Android validated end-to-end
2 tracks
Feature delivery and platform hardening shipped in parallel, without slowing sprint cadence
Read the full case study
— More from our work

Additional engagements across our core capabilities.

02 / Software Engineering

Order Management System Modernization

Unified fragmented order-status visibility into a single real-time customer view and threaded a new partner-marketplace channel through the OMS backbone — expanding the platform to support third-party orders without disrupting active fulfillment flows.

JavaSpring BootKafkaAzure ARODynatrace
View case study
03 / Cloud Modernization

Customer Data Platform & Event Tracking

Replaced vendor-driven pricing tables with a client-specific unit-economic model that anchored CDP contract negotiations in data — and cleared a migration path off the legacy platform without disrupting existing Adobe-based reporting.

Adobe AnalyticsTwilio SegmentHightouchFullStoryPowerBI
View case study
04 / Applied AI

Marketing Operating System (MOS)

Compressed cross-system marketing workflow setup from days of coordination to minutes of declarative definition — and surfaced a build-on-existing alternative to a multi-million-dollar platform migration that preserves the client's existing SAP investment.

EmarsysKafkaTemporalMCPYAML DSL
View case study
05 / Platform Engineering

Storefront API Hardening & Digital Inventory Platform

Hardened a high-traffic storefront API, delivered taxonomy-driven breadcrumbs against a fixed release window, and turned a one-off pooling audit into a reusable engineering practice adopted across the client's pod structure.

C# / .NETGraphQLSQL ServerRedisKafkaSauceLabs
View case study
06 / Software Engineering

Platform Acceleration for an AI Hiring SaaS

Stood up an internal operations portal, a production-grade authentication system, a cross-browser E2E testing pipeline, and a job-board integration POC inside a single quarter — clearing four roadmap items the in-house team had been unable to land in parallel.

Next.jsTypeScriptPostgreSQLNextAuthPlaywrightGitHub Actions
View case study
02 — Capabilities

Four 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.

/ 01

Software Engineering

Product engineering and platform builds for commerce, payments, supply chain, and customer experience systems. Event-driven architectures, API platforms, and developer experience.

MicroservicesKafka · EventBridgeComposable CommercePlatform Engineering
/ 02

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.

LLM PlatformsRAG · AgentsMLOpsAI Governance
/ 03

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.

AWS · Azure · GCPFinOpsMigrationLanding Zones
/ 04

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.

Zero TrustCSPMIAMDevSecOps
03 — Services

Where enterprises start with us.

Every engagement ends the same way: a working system in production, owned by your engineers. These are the routes in.

03 — The Firm

Senior builders, embedded in your team.

50+
Builders on staff — engineers, architects, and AI practitioners
20+yrs
Combined senior engineering leadership across cloud, AI, and security
4
Core practice areas — software engineering, applied AI, cloud modernization, and cloud security
2
Offices across North America with delivery centers in US and Mexico
04 — Industries

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.

05 — Field Notes

Insights from the engineering floor.

View all insights →
Engineering Guide

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.

16 min read · September 2026
Engineering Guide

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.

15 min read · September 2026
Cost & Delivery

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.

13 min read · September 2026
Commerce Architecture

What we learned hardening a GraphQL storefront for a large ecommerce retailer

Five hard-earned lessons on test-suite hygiene, Kafka consumer resiliency under outage conditions, and why most marketplace integrations fail at the offer-display boundary.

12 min read · April 2026
Applied AI

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.

9 min read · March 2026
FinOps

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.

14 min read · February 2026
06 — Buyer's Guides

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.

Ready 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.

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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