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Shaaztechnologies

Services

Senior engineering, packaged the way you need it

Three kinds of engagement, each with a clear commercial model. Every one is led by a founder and staffed with senior engineers.

Discuss your project

01 / Service

Product Builds

We take a product from idea or rough spec to production. A senior team owns architecture, delivery and quality, and uses AI-assisted workflows to move faster without cutting corners on review, testing or security.

What you get

  • Discovery, scoping and technical architecture
  • Web apps in Next.js or Angular with .NET or Node APIs
  • Cloud infrastructure on Azure or GCP, defined as code
  • CI/CD, automated testing and observability from the first sprint
  • AI features where they earn their place: search, summarization, assistants

02 / Service

Legacy Modernization

We modernize incrementally. Each slice of the old system is replaced behind stable interfaces, so the business keeps running while the platform improves. AI tooling speeds up code comprehension, test generation and migration of repetitive code.

What you get

  • Codebase and architecture assessment with a phased roadmap
  • .NET Framework to .NET 8+, AngularJS to modern Angular or Next.js
  • On-prem to Azure or GCP migration, containerization
  • Characterization tests before change, so behaviour is preserved
  • Performance, security and maintainability improvements

03 / Service

Dedicated Dev & QA Teams

A dedicated team extends your in-house capacity. Every team is led by one of the founders, works in your repositories and your ceremonies, and brings AI-native habits that raise throughput across the whole group.

What you get

  • Full-stack engineers (.NET, Node, Angular, Next.js, React)
  • QA engineers for manual, automated and regression testing
  • Founder-level technical leadership and code review
  • Overlap with US, UK or EU working hours
  • Monthly reporting on delivery, quality and velocity

How we work

AI-native, with the habits of an enterprise team

  1. a.

    AI in the workflow, humans on the hook

    We use AI for code comprehension, test generation, reviews and documentation. Every change is still owned, reviewed and understood by a senior engineer.

  2. b.

    Your data stays yours

    No client code or data goes into tools that train on it. AI tooling is configured per client, and restricted or disabled where your policies require.

  3. c.

    Speed you can measure

    We report cycle time, defect rates and throughput, so the benefit of an AI-native team shows up in numbers, not adjectives.

Next step

Tell us what you're building.

Book 30 minutes with a founder. You'll talk to an engineer, not a salesperson, and leave with a clear view of options, timeline and cost.

Book a call