Software engineering, tech & architecture consulting and coaching

Tech & Architecture: to create great products, you need deep technical expertise.

Great products require deep technical expertise across the full engineering spectrum: system design, architecture judgment, data fluency, security, and disciplined execution. But they also require teams who understand infrastructure, integrations, testing, performance, observability, and the tradeoffs that shape how a product evolves over time.

Technical depth is also about making the right choices at the right moment: simplicity when speed matters, or robustness when reliability is critical. The goal is never to add complexity for its own sake, but to build foundations where engineering effort translates into real impact for users and the business.

01 Software Engineering & Technical Product Strategy

We help companies translate Product ambition into technical strategy: choosing the right level of complexity, sequencing technical investments, and defining build-versus-buy decisions. This covers technical discovery, feasibility assessment, MVP architecture, and roadmap alignment, so that Product and Engineering leaders can make informed tradeoffs together.

02 System Design & Architecture

We design system architectures that account for scalability and resilience from the start, before traffic spikes or new integrations force the conversation. We help teams navigate the tradeoffs that shape how a product evolves: monolith or microservices, managed service or self-hosted. For organizations with complex landscapes, we audit existing architectures and rationalize technical decisions around business priorities.

03 Cloud Strategy & Transformation

We help technical leaders define and execute their cloud strategy, whether that means migrating to public cloud, optimizing a multi-cloud setup, or evaluating sovereign infrastructure. This covers move-to-cloud planning, application modernization, FinOps, and GreenOps, with the goal of keeping cloud decisions aligned with business needs rather than vendor dependency.

04 Platform Engineering & Developer Experience

High-performing Product teams need strong internal foundations. We help organizations design and improve the internal platforms and tools that enable teams to ship independently and safely: developer portals, golden paths, CI/CD enablement, environment management, and self-service tooling. The end result is less cognitive load on engineers and better adoption of quality practices at scale.

05 Observability, Performance & Data

Once a product is live, teams need visibility into what's actually happening. We set up the observability stack (logging, tracing, alerting, cost tracking) that gives Engineering and Product teams that clarity. We also help teams design the data layer that connects products to the rest of the organization, with the quality standards that make data a reliable foundation. For AI systems, this extends to model monitoring and drift detection, including response quality evaluation.

06 Legacy Modernization & Technical Debt Management

Many organizations need to evolve existing systems, but they can't afford to stop the business while they do it. We help teams assess legacy platforms and technical debt, then define pragmatic modernization paths. Sometimes that means modularizing a monolith or replacing fragile integrations, sometimes it means migrating critical capabilities entirely, always at a pace the organization can absorb. The end game is systems that are easier to change and better aligned with business priorities.

07 AI Engineering & Responsible AI

We help teams move from AI experimentation to production-grade AI systems. That covers AI architecture, RAG patterns, model selection, evaluation frameworks, LLMOps, and prompt management on the technical side, plus guardrails, governance, and responsible AI practices to keep AI systems reliable once they're live.

Two ways to work with us

Before any large-scale IT or AI investment, we provide a 360° assessment covering delivery performance (DORA metrics), architectural health, engineering and DevOps practices, to produce a clear go/no-go before implementation. From there, we build the technical roadmap that connects where you are today to where your architecture needs to be, and we continue advising technical leaders (CDOs, CTOs...) on an ongoing basis as the roadmap unfolds.

We embed expert technical coaches at the heart of your teams to raise the bar on engineering standards. Our coaches are T-shaped profiles – deep expertise in their specialty combined with versatility – who accelerate delivery without degrading reliability. This is often a complement to an existing Thiga engagement, adding the technical depth that reinforces our Product teams' impact.

Our engineering stacks

The tools and platforms our engineers work with daily.

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Article

25 JUNE 2026

"We need to stop with LLMs"

Thiga Tech Director Olivier Bergeret argues that the future of AI lies in precision engineering with Small Language Models and agentic architectures, not in scaling ever-larger LLMs.

GitHub