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AI & Intelligent Data Analytics in the USA

Make smarter decisions, faster. Stralya designs and delivers cloud-native AI and analytics solutions for U.S. organizations that need trustworthy dashboards, governed data, and models that perform in production—not just in demos.
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Overview

From raw data to business-ready intelligence

In the U.S.’s highly competitive market, we build end-to-end solutions: data ingestion, transformation, modeling, and visualization—then we operationalize machine learning where it makes sense (forecasting, anomaly detection, customer intelligence, process optimization). Everything is delivered with a “project-first” mindset: clear scope, measurable outcomes, and accountability.

What make us different:

Cloud-native analytics architectures (AWS, Azure, GCP).
Production-grade pipelines (ELT/ETL) with monitoring, data quality checks, and clear ownership.
AI that is operational: deployed, measured, and maintained.
Governance-first delivery: access control, auditability, and documentation.
Fixed-price, outcome-driven projects with transparent scope and milestones.

Core value

Reliable intelligence you can act on—built with accountability

Generative AI & LLM Solutions for High‑Stakes Digital Experiences

Production-grade Generative AI & LLM solutions, architected, fine-tuned, and operated for real-world business impact across your digital products.

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AI Engineering for Cloud-Native Web & Shopify Platforms

Design, build, and scale AI-powered, cloud-native and Shopify web platforms engineered for reliability, performance, and measurable business outcomes in the US.

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Advanced Analytics for Cloud‑Native Web & Ecommerce Platforms

Turn raw product, web and Shopify store data into clear decisions with cloud-native analytics tailored to high-stakes digital projects in the US.

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Method

How we deliver AI & analytics projects in the U.S.

We work with a structured, risk-controlled approach designed for high-stakes digital initiatives across the U.S. You get clarity on scope, predictable delivery, and a solution that your teams can operate long-term.

We map business goals to measurable KPIs, identify data sources, define stakeholders, and agree on decision use cases (e.g., revenue forecasting, operational SLAs, customer segmentation).
We assess data quality, access, and gaps; then design a cloud-native target architecture (warehouse/lakehouse, orchestration, semantic layer, BI). Security and governance are designed from day one.
We implement ingestion and transformation with testing, lineage, and monitoring. We create a clean, documented data model that supports consistent reporting across teams.
We deliver executive-ready dashboards and self-serve analytics. When relevant, we build ML models (forecasting, anomaly detection, recommendations) with clear evaluation metrics and explainability.
We deploy with CI/CD, observability, and runbooks. Your team receives documentation and training. We can maintain and evolve the platform under an SLA.

Case Studies

Real solutions Real impact.

These aren’t just polished visuals they’re real projects solving real problems. Each case study 
apply strategy, design, and development.

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Building a Monolithic Headless CMS and Frontend with Next.js

A monolithic headless CMS, engineered with React and Next.js App Router to power high-performance websites, Shopify web development services, and product frontends fast, with clean content operations for non-technical teams.

6

weeks from first commit to a production-ready CMS core.

3x

faster time-to-market for new marketing and product pages.

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Mandarin Learning Platform Project Takeover and Recovery

Taking over a third-party Mandarin e-learning platform to secure, stabilize and restructure critical cloud-native components for long-term growth.

6

weeks to stabilize and secure the core platform after takeover.

0

critical incidents in production after Stralya’s recovery phase.

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Client Testimonials

What Our Clients Say

Professional, fast, and ultra-responsive. A company with a top-notch mindset.

Omar Ouhmad

CEO, Growth Hackerz

A company with a true entrepreneurial spirit: fast, professional, and above all, responsive.

Laurent Phillipe

CEO, MandarinMaster

Popular Questions

Find Commonly Asked Questions

BI dashboards focus on describing what happened (reporting and KPIs). AI analytics goes further by predicting what will happen (forecasting), detecting issues early (anomaly detection), or recommending actions. We often deliver both: a governed data foundation plus AI capabilities where they create measurable impact.
Yes. We can integrate with common stacks and improve what you already have—whether it’s a cloud warehouse/lakehouse, existing ETL jobs, or dashboards. If your current setup is limiting performance or governance, we propose a pragmatic migration plan.
Yes. We prefer fixed-price delivery when scope and outcomes are clear. We start with discovery to lock requirements, define acceptance criteria, and reduce project risk before implementation.
We implement least-privilege access, environment separation, encryption, audit logs, and secure secret management. We also document data ownership and define governance practices so reporting remains compliant and controlled.
It depends on data readiness and scope. A first production dashboard with reliable pipelines can often be delivered in a few weeks, while broader platforms (multiple domains, advanced governance, ML in production) may take several months. We provide a milestone-based plan upfront.
Yes. We can take over unstable pipelines, slow dashboards, or unreliable metrics. We stabilize the platform, fix data quality issues, and re-establish a single source of truth with clear definitions and monitoring.

Let’s Build Something Great

Tell us about your project, your goals, and your vision. We’ll take care of the tech, performance, and delivery.

Start Your Project