AI Consulting & Custom Solutions — 2026

We Build AI That Works.
Not Just Demos.

Custom AI agents, ML models, and intelligent automations — designed, built, and deployed so you move faster, serve customers better, and outcompete rivals still relying on manual processes.

Trusted by teams across
Finance Healthcare Retail Public Sector
What We Deliver
AI Strategy ◆ Custom Agents ML Forecasting ◈ UI Integration LangChain / LangGraph
Trusted by Nexus Digital, Pinnacle Health, Starfield Retail and more
Who We Are

Consultancy expertise.
Product thinking.

AI Cloud Corp is the only AI partner that doesn't just advise — we ship.

🎯

Strategy First

We start with your business goals, not the technology.

Fast Deployment

From strategy to live AI agents in weeks, not months.

🔧

Own Your Outcomes

We build things you own and can run independently.

📊

Measurable Outcomes

Every engagement tied to KPIs — cost saved, revenue unlocked, time reclaimed.

10+
Years AI & Cloud Experience
50+
Client Projects Delivered
100%
Delivery Rate — every project shipped
4
Sectors Served
"We don't just consult — we design, build, and deploy. You own the outcome from day one."
What We Do

Four ways we work
with your organisation

From strategy to deployment — we cover the full AI transformation journey.

🗺️

AI Strategy & Consulting

Roadmaps, use-case discovery, ROI modelling. We find the AI opportunities hiding in your business, rank them by impact and feasibility, and hand you a concrete plan — not a deck full of buzzwords.

Learn More →

Custom AI Agents & Automation

LangChain and LangGraph-powered agents that execute multi-step workflows autonomously — 24/7. From email triage to complex operations pipelines, we build agents that work inside your existing stack.

Learn More →
📊

ML & Predictive Analytics

Demand forecasting, churn prediction, anomaly detection. Models trained on your data and deployed in your stack — so your team gets answers, not just another dashboard nobody checks.

Learn More →

UI & System Integration

Seamless embedding of AI capabilities into existing products, dashboards, and APIs with zero disruption. Your users get a smarter experience. Your engineers don't get a headache.

Learn More →
Industries

We go deep, not wide.

Four sectors where we have real delivery experience — and know where AI actually moves the needle.

🛒

Retail & eCommerce

  • Demand forecasting & inventory optimisation
  • Customer churn prediction
  • Personalised recommendation engines
  • Returns reduction models
🏥

Healthcare

  • Clinical documentation automation
  • Readmission risk scoring
  • Prior auth & billing agents
  • HIPAA-compliant data pipelines
🏦

Financial Services

  • Document extraction & classification
  • Fraud detection models
  • Underwriting assistance agents
  • Regulatory compliance automation

Logistics & SaaS

  • ETA prediction & route intelligence
  • Churn scoring & expansion signals
  • AI co-pilot product features
  • Ops automation & workflow agents
$273k+Active Pipeline
Value
4Active Client
Projects
100%On-Time
Delivery Rate
6moAverage Time
to ROI
Trusted By
Nexus Digital
Pinnacle Health
Starfield Retail
Veridian Logistics
Client Results

AI that moved the needle.

Real engagements. Real outcomes. No stock-photo case studies.

Retail · ML Forecasting

Starfield Retail — Demand Intelligence

Built a demand forecasting model on SKU-level sales data. The model drives automated reorder decisions across 400+ products — reducing overstock and stockout events simultaneously.

23%
Reduction in excess inventory within 90 days
SaaS · AI Integration

Nexus Digital — UI + AI Sprint

Embedded AI-powered features into an existing SaaS product — smart search, auto-tagging, and a co-pilot sidebar — shipped in a single 6-week sprint with zero disruption to their release cycle.

6 weeks
From kickoff to production deploy
Healthcare · AI Roadmap

Pinnacle Health — AI Readiness

Designed a phased AI roadmap for a regional health network — data governance, use-case prioritisation, and a pipeline architecture built for HIPAA-compliant model training.

$120k
Contracted engagement across Phase 1 & 2
What Clients Say

Straight from the people
who hired us.

★★★★★

"We had vague ideas about AI for years. AI CloudCorp turned them into a concrete plan — and then actually built it. The demand forecasting model is live and cutting inventory costs every week."

CP
Cleo Park
Head of Digital · Starfield Retail
★★★★★

"They embedded AI features into our SaaS product in 6 weeks without a single disruption to our release cycle. The AI co-pilot sidebar is now one of our most-used features — customers ask for it by name."

SC
Sarah Chen
CTO · Nexus Digital
★★★★★

"The discovery session alone was worth more than months of internal debate. They mapped our top AI opportunities, ranked them by ROI, and gave us a roadmap we could actually execute. Rare clarity."

VL
Operations Director
Veridian Logistics
📅 Upcoming Webinar — Free
AI in Financial Services: What's Actually Working in 2026
Thursday, July 17, 2026  ·  11:00 AM ET  ·  60 minutes
Register Free →
Who's Behind This

Built by people who've
actually shipped AI.

🧠
Founding Team — AI CloudCorp

The founding team have spent 10+ years building AI systems across enterprise and startup environments — from predictive ML pipelines to LLM-powered agent frameworks. We started AI CloudCorp because we kept seeing the same pattern: companies paying for AI strategy decks that never turned into working software.

AI CloudCorp is built differently. We're small, fast, and opinionated. Every project we take on, we're personally involved in — from the discovery call to the production deploy. You're not handed off to a junior team. You get the people who built the thing.

LangChain / LangGraph ML & Predictive Models Cloud Architecture AI Agents Python / REST APIs
How We Work

From first call to live AI
— in four steps

A structured process that moves fast without cutting corners.

01

Discovery Call

We spend 60 minutes understanding your business, your data, and where AI could move the needle. No jargon. No pitch decks.

02

AI Opportunity Map

We identify your top 3–5 AI opportunities ranked by impact and feasibility. You walk away with a concrete roadmap.

03

Build & Deploy

We build with proven tools — LangChain, LangGraph, Python, REST APIs — and ship to production. Most engagements go live within 4–8 weeks.

04

Measure & Scale

We measure outcomes against metrics that matter to you, then systematically expand what's working.

Infrastructure

Built on proven
AI infrastructure.

We build on the same foundation used by the world's leading AI teams — battle-tested frameworks, cloud infrastructure, and enterprise-grade APIs. No black boxes. No vendor lock-in.

🦜LangChainAgent Framework
🔗LangGraphAgent Orchestration
🤖Claude / GPT-4Foundation Models
🐍PythonPrimary Language
FastAPIAPI Layer
☁️AWS / GCPCloud Infra
🗄️PostgreSQLData Store
🔍PineconeVector Search
🤗Hugging FaceOpen Models
🐳Docker / K8sDeployment
📊Pandas / sklearnML Pipeline
🔐HIPAA / SOC2Compliance Ready
Engagement Models

Three ways to work
with us.

Whether you need clarity, a full build, or ongoing AI momentum — there's a model for where you are.

Engagement 01
AI Strategy Sprint
$8k – $15k
One-time · 2 weeks

For teams that know they need AI but aren't sure where to start. We run a structured discovery process and hand you a concrete, prioritised AI roadmap.

  • 60-min discovery session with your team
  • Top 3–5 AI opportunities, ranked by ROI
  • Build vs. buy recommendation per use case
  • Deployment roadmap with timeline & cost estimates
  • Presentation deck for internal stakeholders
Engagement 03
Scale & Retain
$8k /mo+
Monthly retainer · Ongoing

For clients who've shipped their first AI project and want to keep building. Ongoing development, model iteration, and priority access to our team.

  • Dedicated monthly build capacity
  • Model monitoring & iterative improvements
  • New agent & automation development
  • Priority response & support SLA
  • Quarterly AI strategy reviews

All projects start with a free 30-minute discovery call. No commitment required. · info@aicloudcorp.com

FAQ

Questions we hear
before the first call.

Do we need a large dataset to get started?
Not always. Many high-value AI use cases — process automation, document classification, AI agents — work with minimal existing data. We'll tell you honestly in the discovery call whether you need more data before we can build something worth shipping.
How long does a typical project take?
Most initial builds go from kickoff to live deployment in 4–8 weeks. Strategy engagements (AI opportunity map + roadmap) typically take 2 weeks. We don't do 6-month consulting retainers that end in a PowerPoint.
What stack do you build on?
We're stack-flexible but opinionated. For AI agents and automation, we default to LangChain and LangGraph. For ML, Python with scikit-learn, XGBoost, or PyTorch depending on the problem. We deploy where you need it — cloud, on-premise, or hybrid.
Who owns the code and IP we build together?
You do, 100%. Everything we build is yours — no lock-in, no SaaS subscription, no ongoing dependency on us unless you want it. You can run and modify everything we deliver independently from day one.
What industries do you work with?
We've shipped AI projects across retail, healthcare, financial services, logistics, and B2B SaaS. If AI can move a meaningful metric in your business, we're likely a fit. The discovery call is the fastest way to find out.
What does it cost?
Project pricing varies by scope — most initial builds land between $15k–$75k depending on complexity. Strategy-only engagements start lower. We scope everything transparently before any commitment, so you'll know the number before we start.
Insights

From the blog.

Practical thinking on AI strategy, implementation, and what's actually working in production — no hype, no fluff.

Retail  ·  ML
How AI Reduces Customer Churn in Retail — A Practical Guide
Churn prediction is one of the highest-ROI applications of machine learning in retail. Here's what the data says, what actually works, and how to scope a model that delivers in 6–8 weeks.
Case Study  ·  SaaS
Nexus Digital: From AI Idea to Production in 6 Weeks
How a mid-sized SaaS company went from "we want to add AI" to shipping AI-native features into their product — with two engineers and no prior ML experience on the team.
Finance  ·  Agents
AI in Financial Services: What's Actually Working in 2026
Compliance automation, claims processing, fraud detection — financial services is one of the most active AI sectors. Here's where the real traction is, and where the hype still outpaces reality.
Get Started

Ready to put AI
to real work?

Book a free 30-minute discovery call. We'll map your top 3 AI opportunities and tell you exactly what we'd build. No commitment. No fluff.

What's Included

    Book a Call