Data & AI platform engineering

Solid ground for your data and AI.

We implement AI in your products, automate the work between your systems, and turn scattered data into decisions — on infrastructure built to hold for years.

Macro photograph of layered limestone strata with a thin copper vein
Fig. 01 — StrataWeary Stone
  1. 01

    Implement AI

    Search, tagging, vision and recommendations — shipped into your product, not left in a notebook.

  2. 02

    Automate

    Event-driven pipelines and CI/CD that run, retry and report on their own. No one on call for a cron job.

  3. 03

    Get data insights

    One warehouse, clean models, honest numbers — the answers your team didn't know it could ask for.

Services

Three things, done properly.

Start where the pain is — AI, automation or the data itself. Most teams end up needing all three, in roughly that order, and they are built to work as one system.

01

Implement AI

Put models to work inside your products and workflows — search that understands meaning, content that tags itself, recommendations people actually click.

  • Semantic search & RAG
  • AI vision at scale
  • Classification & auto-tagging
  • Recommendation engines
  • Sentiment & review analysis
  • LLMOps & evaluation
02

Automate

Replace runbooks and fragile scripts with event-driven pipelines, infrastructure as code and alerting that tells the right team, at the right time.

  • Event-driven pipelines
  • CI/CD & infrastructure as code
  • Cloud migrations — GCP, AWS
  • Monitoring & on-call alerting
  • Backups & disaster recovery
  • Slack & workflow alerts
03

Get data insights

Bring every source into one warehouse, model it cleanly and document it — so revenue, content and cost questions get answered in minutes, not sprints.

  • Warehouse architecture — BigQuery
  • dbt modelling & documentation
  • 20+ source integrations
  • Revenue & funnel attribution
  • Anomaly detection & data quality
  • Cloud cost optimisation
Selected work

Systems in production, not slideware.

Built for teams operating at real scale — high-traffic consumer brands with content, commerce and data running through the same pipelines.

Implement AI · Vision

AI that looks at every image, so no one has to do it by hand.

A production vision pipeline that writes accessible, on-brand descriptions for product imagery — new content and the archive alike, continuously.

Vertex AI · OpenAI · Cloud Run · BigQuery
Implement AI · Semantic search

Search that understands what people mean, not just what they type.

Embedding pipelines and vector search that match content to intent across a large, constantly growing library — automatically.

Vertex AI Vector Search · Embeddings · Pub/Sub
Data insights · Warehouse

Every source, one warehouse, one number everyone trusts.

Dozens of platforms — analytics, search, ads, affiliate, email — modelled cleanly and documented, behind the reporting the business runs on.

BigQuery · dbt · Cloud Build · Cloud Workflows
Approach

How an engagement runs.

Fixed checkpoints, written decisions, and everything shipped into your own cloud account. You own the code, the data and the docs.

  1. 01Custom scope

    Discover

    We map your systems, data and the decisions you need to make. You get a written assessment and a prioritised plan.

  2. 02Custom timeline

    Design

    Architecture, running costs and success metrics agreed before a line of production code is written.

  3. 03Agile sprints

    Build

    Shipped in small, reviewed increments — with tests, documentation and monitoring from day one.

  4. 04Ongoing

    Operate

    We run it, watch it and improve it — or hand it to your team with runbooks and a proper handover.

Ways to work together

Start small. Scale when it pays.

We work in your cloud
Google CloudBigQuerydbtVertex AIOpenAILangSmithPub/SubCloud RunCloud BuildCloud WorkflowsTerraformAWSDatadogPagerDutyGA4
Studio still life of stacked stone slabs and a thin copper rod
Weary Stone — Bratislava
Who you work with

A senior platform team with twelve years in production.

Weary Stone is a data & AI platform engineering company. We have built and run a 64 TB data platform for four consumer brands, and delivered DevOps and cloud migrations across 100+ projects for European and US companies.

You work directly with the engineers who design and build your system — no account managers, no hand-offs to a junior bench.

Based in
Bratislava, EU
Clients in
US & Europe
Languages
EN
Contact

Let's talk about your data.

Tell us what you're trying to fix. You'll hear back from a senior engineer, not a sales team, with honest next steps — even if that's "you don't need us".

Where are you starting?