AI software development · Austria

AI software development in Austria: agents, RAG and LLM products that reach production

Wavect builds custom AI products across Austria from a base in Tyrol. One senior team owns the model layer, integrations, evaluations, guardrails and the product software around them, with Austrian contracts and deployment choices designed around your data.

Discuss your AI product

Direct answer

Wavect is an Austrian AI software development agency based in Tyrol and serving all of Austria. We deliver the model layer, integrations, evaluations, guardrails and surrounding product software needed to take RAG systems, AI agents and LLM applications from a promising prototype into production.

Best for

  • Companies that need a custom AI product or AI feature built, evaluated and operated in production
  • Teams that want one accountable partner for the model layer and the conventional software around it
  • Austrian buyers who need direct senior access, clear ownership and deployment choices that match their data requirements

Not the fit for

  • A standard SaaS workflow that an existing tool already solves well
  • A strategy workshop or internal AI rollout with no customer-facing build
  • Open-ended model research without a product, user or shipping decision
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Which path fits the problem?

The right answer is often not custom AI. Use this table before you brief an agency.
Your needBest pathWhat the engagement should produce
A proprietary AI feature or customer-facing AI productCustom AI software developmentA production system with model logic, product software, evals, guardrails, integrations and ownership
Your team needs training, governance and internal workflowsInternal AI enablementWorkshops, process automation, policies, tooling on your infrastructure and a handover your team can operate
A mature SaaS product already covers the workflowBuy and integrate standard SaaSConfiguration, identity, data migration and adoption, without paying to rebuild a commodity feature
The core uncertainty is a new model or scientific methodResearch partner or labExperiments, benchmarks and a go or no-go result before committing to product engineering
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What an AI software build includes

This is the national commercial page for a custom AI build. Our international AI service covers deeper capability, process and pricing detail. Custom software development in Austria covers national software projects without an AI-first scope, while our Tyrol AI agency answers local intent.
  • Model and retrieval layer. Model selection, prompting, RAG, fine-tuning where it earns its cost, tool use and structured outputs.
  • Evaluations and guardrails. Test sets, failure thresholds, human handoff, permissions, moderation and observability before production traffic.
  • The complete product. UX, APIs, authentication, billing, integrations, admin tooling, monitoring and deployment, not a notebook handed over as a product.
  • Data and compliance design. Data-flow mapping first, then EU-region or self-hosted deployment where the chosen stack supports it, plus DSGVO controls and EU AI Act considerations matched to the use case.
  • Austrian commercial terms. Fixed scope on a signed Werkvertrag or a weekly retainer, clear ownership, repository and cloud access, and no technical lock-in.
  • Realistic bands. Prompt integration €5-15k, RAG with evals €15-40k, multi-step agents €40-100k+. A production AI feature typically takes 4-8 weeks after scope and data access are clear.
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When custom AI earns its cost

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Build custom AI when

  • The workflow or data creates a real advantage that an off-the-shelf product cannot reproduce
  • The feature belongs inside your existing product, permissions and customer journey
  • You can define measurable quality, business and safety thresholds for production
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Do not build custom AI when

  • A standard product solves the job and your only differentiator would be owning the code
  • No one owns the workflow, source data or acceptance criteria internally
  • The business case depends on perfect model accuracy or a risk class you have not assessed

A useful first call can end with a smaller build, an off-the-shelf recommendation or a clear no. That is still a good outcome.

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Production AI proof

Three published AI builds with different production constraints: speed, evaluation, infrastructure and scale.

Twinsoft AI

Live
2 weeks To Sellable MVP

Took a vibe-coded prototype to enterprise pilot-ready, no shortcuts.

Python / Flask LLMs Terraform
AI 2026

PromptID

Live
6 weeks 0 to Production

AI-native assessment platform, 0→production in 6 weeks under compressed market pressure.

NestJS NextJS LangChain
AI 2026

Hyperstate AI

Wind Down
GPU Monolith → Microservices

Split a GPU-heavy monolith into orchestrated services and swapped self-hosted ML libs for scalable alternatives. Latency and cost …

Python / Django OpenAI API Neo4j
AI 2025

These are selected projects, not our full portfolio. We have shipped 75+ products since 2018.

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Plan the build

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AI software development in Austria: common questions

Ask for comparable production references, the senior people who will do the work, an evaluation plan, ownership terms and a clear data-flow answer. A credible agency should explain when rules or standard SaaS beat an LLM. Start with our software agency selection guide .
Published Wavect bands are €5-15k for a prompt integration, €15-40k for RAG with evals and €40-100k+ for a multi-step agent. The exact price depends more on integrations, permissions, reliability and the surrounding product than on the model call itself.
A prototype can take about one week. A production-ready feature with evaluations, guardrails and observability typically takes 4-8 weeks once scope and data access are clear. A full product or regulated workflow can take longer.
Yes. Wavect is based in Ampass, Tyrol and works remote-first across all nine Austrian states, with on-site workshops or milestones when they add value. Delivery is available in German and English.
The primary published references are Twinsoft AI , brought from a fragile prototype to enterprise pilot-ready in two weeks; PromptID , shipped from zero to production in six weeks; and Hyperstate AI , where a GPU-heavy monolith was split into scalable services and both latency and cost came down.
We map the data flow before choosing providers, support EU-region and self-hosted options where the stack allows them, separate customer environments, document retention and subprocessors, and build access controls and auditability into the product. Your legal role and risk class still need case-specific review with legal counsel.
The project-specific code and agreed deliverables transfer to you under the contract. We work in your repository and cloud where practical, document the system and avoid making continued Wavect involvement a technical requirement. Third-party models and open-source components keep their own licences.
AI consulting helps classify opportunities, risks and rollout decisions. AI software development delivers the running product: model behavior, integrations, evaluations, guardrails, UX, backend and operations. If your need is internal adoption rather than a product, our international AI enablement service is usually the better fit.
Last reviewed: byKevin Riedl wiki ↗

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