# Dashbouquet

> Dashbouquet is a reviewed AI agency in Tallinn, Estonia, listed in the AIAgencies.eu register and last assessed 2026-09-03.

Canonical page: https://www.aiagencies.eu/agency/dashbouquet
Generated: 2026-09-28 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
- Location: Tallinn, Estonia
- Website: https://dashbouquet.com
- Hourly rate: €45-85/hr (directory-listed)
- Team size: 50-249
- Founded: 2014
- Services: AI Development, Generative AI, AI Consulting
- Industries: Healthcare, SaaS & B2B, E-commerce
- LinkedIn: https://www.linkedin.com/company/dash-bouquet

## About
Product engineering firm building LLM-backed applications — conversational assistants, multimodal analysis and AI-driven data platforms — alongside web and mobile development. Registered in Tallinn with a Warsaw office.

## Documented clients
Documented engagements: Dashmote, BetterYou, Pyroscope, utheory, Nubabi, VMware, and Autodesk. 5 of 7 carry a source URL on file.

## Curator assessment
Reviewed 2026-09-03 by Gabor Kiss against published evidence.

The AI evidence splits into two kinds: production-scale data extraction—Dashmote's beverage-menu platform pulled menus from 10,000-plus venues across 45-plus countries in 12 languages, processing 100 GB a day on AWS, Kubernetes, Argo Workflows, SpaCy and PyTorch over 16 months—and early LLM product work, where BetterYou's therapist dashboard and a dating-assistant app document model bake-offs (GPT-4, Claude 3, Llama 3, Mixtral) but publish no usage or accuracy figures.

That split is a buyer consequence: the extraction and BI systems (a second one tracked 21,000 SKUs across 9 marketplaces for 18 months) show a team that keeps scrapers and parsers alive against layout changes, while the LLM studies read as pre-product builds, so if your brief is a generative feature in production, ask what happened after launch.

The strongest outcome on the site is not an AI one—Pyroscope credits the firm with a 2x revenue lift and 30% more daily active users before its acquisition by Grafana Labs—which counts as a delivery signal and not as an AI signal.

The weaker fit is buyers who need a model team rather than a product team—the published work puts LLMs and OCR inside apps the firm also builds, with no study where the model itself was the deliverable.

### Key strengths
- Team composition and duration are published per data project (2 engineers, 2 analysts, 1 PM over 16 and 18 months), so you can size a comparable engagement
- Sprint rhythm is stated and consistent across the site: features every 1–3 weeks, two-week demos, and a Clutch 1000 listing for 2025
- Pyroscope's CEO reviews the firm by name on Clutch, and the collaboration is described down to the Node.js and Ruby profiling agents delivered

### Good to know
- Ask what became of the BetterYou and dating-assistant builds after handover—both studies stop at model selection with no adoption or accuracy numbers
- Confirm who leads the ML work: the about page names no engineers, and the AI services page lists Caffe, Theano and CNTK among its platforms, which are years out of maintenance
- The AI services page positions the firm around OpenAI-style APIs—if you need a fine-tuned or self-hosted model, ask for a reference beyond the SpaCy and OCR extraction work

## Compared head-to-head
- Dashbouquet vs DATAFOREST: https://www.aiagencies.eu/compare/dashbouquet-vs-dataforest
- Dashbouquet vs MindTitan: https://www.aiagencies.eu/compare/dashbouquet-vs-mindtitan

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Source: AIAgencies.eu — the curated register of European AI agencies. Rate provenance: "agency-confirmed" = disclosed via submission or claimed profile; "directory-listed" = Clutch or two agreeing B2B directories (lone unverified sources are never written). Full method: https://www.aiagencies.eu/methodology · Rate index: https://www.aiagencies.eu/rates
