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Fine-Tuning & Custom AI Training for Mission-Critical Web Platforms

Stralya helps you move beyond off‑the‑shelf AI. We fine-tune large language models and train custom models on your own data, workflows, and compliance needs—so your cloud-native web platforms and Shopify stores deliver accurate, reliable, and secure AI experiences at scale across the US.
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Use cases & scope

What We Fine-Tune and Train for Your Web Platforms

Fine-tuning and custom training are most effective when they’re tightly scoped around clear, high-value use cases. Stralya helps you identify where AI can create real leverage in your digital products—then builds models that perform reliably in those specific contexts, from B2B dashboards to Shopify website design services.

Typical fine-tuning & custom AI training scenarios

Domain-specific conversational assistants for customer portals, investor dashboards, online stores, or self-service support, grounded in your own documentation, policies, and product data.
Smart routing and triage for support tickets, leads, or internal requests, trained on your historical data and business rules—ideal for sales funnels, help desks, and Shopify web design and development workflows.
Smart routing and triage for support tickets, leads, or internal requests, trained on your historical data and business rules to reduce manual overhead and response times.
Document understanding and summarisation for contracts, RFPs, regulatory texts, product catalogs, and internal knowledge bases, tailored to your terminology and decision criteria.
Classification and tagging models for large content libraries, product listings, or knowledge repositories—powering search, recommendations, and structured analytics across web and Shopify website design.
Evaluation and safety layers that score and filter model outputs for quality, bias, and policy violations before they reach end-users, adding a controlled safety net to high-stakes AI workflows.

Optional add-ons & extensions

Evaluation and safety layers that score and filter model outputs for quality, bias, and policy violations before they reach end-users, complementing your existing moderation processes.
Custom analytics dashboards for monitoring model performance, feedback, and business impact, including conversions, resolution time, and usage across web and Shopify website design services.
A/B testing frameworks to compare different models, prompts, or fine-tuning strategies in production so you can safely optimize AI features without risking your core user journeys.
Internal enablement sessions and training for your product, data, and engineering teams in the US, focused on practical implementation of AI, from prompt design to model monitoring.
Security and compliance reviews aligned with your sector (finance, real estate, public sector, healthcare, ecommerce, etc.), including how AI integrates with your Shopify web development or broader cloud stack.
Every engagement is scoped to your reality: your stack, your data maturity, and your risk appetite. Whether you are launching a new AI-native product, upgrading an existing B2B platform, or enhancing Shopify website design packages, we design the minimum robust architecture that can scale with your ambition.

Designed for High-Stakes Projects in the US

Aligned with strategic digital mandates
We understand the pressure on US organizations to ship visible, high-impact digital experiences. Our fine-tuning and training work is always tied to clear business outcomes—not just technical curiosity—whether you run complex B2B platforms or consumer-facing Shopify website design services.
A partner, not a generic vendor
Stralya operates as a boutique expert firm. You work directly with senior engineers and architects who take ownership of your project, from the first workshop through production rollout and long-term maintenance, instead of being passed between anonymous vendor teams.
Performance, cost, and quality in balance
We optimize not only for model accuracy but also for latency, user experience, and cloud costs. This balance is critical when AI becomes a core feature of your platform—impacting everything from customer support to checkout in Shopify website design—not just a side experiment.
Premium standards, controlled growth
Our vision is to be a reference partner for strategic web and AI projects. We deliberately take on fewer projects so we can maintain the level of rigor, communication, and technical excellence that high-stakes initiatives demand, whether they involve custom web apps or best Shopify web design services.

Process

How We Run Fine-Tuning & Custom Training Projects

Every fine-tuning or custom AI training engagement at Stralya is run as a structured, fixed-scope project. We blend data engineering, MLOps, and cloud-native web development so your AI features are robust in real-world conditions—not just in a test environment—whether they power internal tools, public sites, or Shopify website design services.

We start by clarifying the business objective, risk level, target users, and success criteria. Together we validate that fine-tuning or custom training is the right lever versus simpler options (prompting, RAG, rules). If we cannot guarantee value, we say no—even if that means sticking with basic AI features in your existing web or Shopify website design.
We inventory your available data (documents, tickets, CRM, product data, logs), assess quality and sensitivity, and define what can safely be used. We then clean, label, and structure datasets for training, validation, and testing with clear governance rules—so your AI is grounded in reality, not just synthetic datasets.
We select the right model family and providers (open-source, cloud provider, or vendor APIs) based on performance, latency, cost, and compliance. We design a cloud-native architecture for training, inference, and monitoring that fits your existing stack, from custom web apps to Shopify web development and ecommerce infrastructures.
We run controlled training or fine-tuning cycles, measuring performance against realistic test sets and edge cases. We iterate until we reach agreed acceptance thresholds for quality, robustness, and safety (hallucinations, bias, security), so your AI behaves predictably in production.
We expose the model through stable APIs or microservices and integrate it into your web application’s UX. Whether you run a custom SaaS product or rely on Shopify website developers, we handle authentication, rate limiting, logging, and observability so your team can operate the system with confidence.
Once in production, we monitor model behaviour, feedback loops, and costs. We provide SLAs for maintenance, retraining when your data evolves, and continuous improvements—so your AI stays aligned with your business over time and remains cost-effective at scale.

Popular Questions

Find Commonly Asked Questions

It depends on your use case and risk level. For many applications, a well-designed RAG pipeline and strong prompt engineering are enough. Fine-tuning becomes relevant when you need consistent tone, domain-specific reasoning, or task-specific performance that generic models cannot reach—for example, complex workflows in Shopify web design and development or regulated B2B platforms. During discovery, we benchmark options and only recommend fine-tuning if it clearly adds value.
We are cloud-native and provider-agnostic. We work with AWS, Azure, and GCP, and integrate models from major vendors as well as strong open-source options when appropriate. Our priority is to choose a stack that matches your compliance, latency, and cost constraints while remaining maintainable by your team and compatible with your existing web and Shopify website development services.
We design data flows to respect your internal policies and applicable regulations. This can include isolating training environments in your own cloud account, anonymising or pseudonymising data, and avoiding providers that reuse training data. We will never send your sensitive data to third parties without explicit approval and contractual protection, whether the data comes from your CRM, support systems, or Shopify web development stack.
Yes. Stralya has a strong “project rescue” culture. We can audit your current architecture, prompts, models, and data pipelines, then propose a pragmatic recovery plan. In many cases, we stabilise and improve existing systems—such as broken chatbots on customer portals or underperforming AI features in Shopify website design—before deciding whether a fresh fine-tuning or retraining effort is required.
For a focused use case with reasonably clean data, expect 4–8 weeks from discovery to initial production deployment. More complex, multi-use-case or heavily regulated environments can take longer, especially if data preparation and governance need significant work. We always provide a clear, phased roadmap before we start so your product and engineering teams can plan around it.
Yes. In line with Stralya’s project-first philosophy, we favour fixed-price, well-scoped engagements. Once we understand your objectives and data landscape, we define a clear scope, success criteria, and delivery plan, then commit on price and timelines—whether the AI powers a new SaaS platform or enhances Shopify website design services.

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.

View Work

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.

View Project Details
View Work

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.

View Project Details

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

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