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  • 05 · AI-First Systems & Product Engineering

Custom & Product Development.

We build the software that sits between your users and your infrastructure.
  • BRIEF
Most custom development is a black box. Ours is an open book. We build modern, reliable, and test-driven products that treat AI as a primary architectural layer, ensuring your digital platforms scale seamlessly without accumulating hidden technical debt.
  • CAPABILITIES
  • AI SAAS PRODUCT DEVELOPMENT
AI-first products end-to-end · architecture through go-to-market support
  • LLM-INTEGRATED SOFTWARE
RAG-backed assistants, copilots, generative UIs inside your existing product
  • CUSTOM CHATBOTS & ASSISTANTS
Vendor-neutral, evaluated, with proper guardrails and analytics
  • PRODUCT ENGINEERING
React / Next.js, Swift, Kotlin · accessibility, performance budgets
  • API & BACKEND
TypeScript, Go, Python · OpenAPI-first, contract-tested, versioned
  • MOBILE
Native iOS / Android, React Native where the trade-off is right
  • AI-AUGMENTED QA
Playwright + LLM-generated test cases, visual regression, k6 load + AI prediction
  • MODERNIZATION
Strangler-fig migrations · AI-assisted code understanding for legacy
  • OUTCOMES

What we've actually moved.

A few rolling averages across active engagements. Quoting them is easy — the work behind them is the engagement.

<100ms

Core API response times across enterprise workloads via strict edge-first architecture

90%+

Unit and integration test coverage driven by AI-augmented verification pipelines

4 mo

Average time-to-market from initial blueprinting workshops to stable production launch

Want this calibrated to your stack?

Book a working session
  • Also part of services
  • 02 / 06

AI Engineering

Custom agents, RAG over your docs, LLM fine-tuning, and production infrastructure your security team will sign off on.
Read more
  • 03 / 06

AIOps & DevOps

CI/CD, infrastructure-as-code and observability — augmented with intelligent alerting. Engineers ship on Friday, models page themselves on Saturday
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  • 04 / 06

Cloud Platform & FinOps

AI-first SaaS products, LLM-integrated software, and generative UIs. We build production-grade applications that scale seamlessly.
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  • 05 / 06

Custom & Product Development

AI-first SaaS products, LLM-integrated software, and generative UIs. We build production-grade applications that scale seamlessly.
Read more
  • 06 / 06

Data & MLOps

Governed lakehouses, robust MLOps lifecycles, and streaming pipelines. Turn raw telemetry into fine-tuning-ready assets
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Frequently Asked Questions

Everything you need to know about working with TRIOTECH SYSTEMS.

How do you ensure vendor neutrality when building custom LLM-integrated software?

We construct custom applications utilizing isolated abstraction layers that separate your business logic from underlying foundational model APIs. Instead of tightly coupling your code to a single LLM vendor, our frameworks make it straightforward to hot-swap models—whether switching from an enterprise API like OpenAI or Anthropic to an open-weights model hosted on your secure cloud infrastructure. This completely protects your product from sudden vendor pricing spikes or service deprecations.

The strangler-fig pattern is an incremental modernization framework where old, monolithic systems are progressively replaced by routing traffic to modern microservices piece by piece. This eliminates the massive operational risk of high-stakes “big bang” software rewrites. We leverage specialized AI models to map out legacy application paths, rapidly translate outdated business logic into clear specifications, and accelerate code modernization without breaking core dependencies.

Traditional end-to-end testing relies on static testing scripts that easily break under minor UI changes. Our QA strategy integrates Playwright with intelligent testing agents that adapt to layout shifts on the fly. By leveraging LLMs to systematically generate edge-case inputs, running continuous visual regression testing, and pairing k6 performance profiles with predictive load models, we identify scale weaknesses long before they impact live production environments.

A performance budget establishes hard, non-negotiable thresholds for core software metrics—such as page load time, bundle size, and interaction latency—before development ever starts. We strictly enforce these boundaries in your CI/CD pipelines. If a code change pushes web bundle sizes beyond budget limits or impacts native mobile render performance, the build fails automatically. This rigorous approach keeps your application fast, lean, and highly accessible on any device.

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