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Alpdev

Ljubljana, Slovenia

2-9€45-85/hrFounded 2025

About

Ljubljana AI and software studio and an OpenAI Select Partner, building sales-intelligence systems, real-time assistants wired into CRM and telephony, and IoT analytics for mid-market clients.

Who They Work With

Mid-market sales and support teams that want an AI system wired into the CRM, telephony or ERP they already run.

Engagements:Project-based

Based on 5 client engagements with a source URL · researched 7 Sept 2026

Our Take

Nine client references, every one named and every one describing what was actually built: for Polfin, a three-score lead model whose intent score is language-model derived, with a separate cooling layer for churn risk, and a second engagement putting a real-time assistant with live transcription into the sales team's calls alongside CRM and telephony.

Bent's assistant is described as deterministic on purpose—it recommends cleaning products by linking to real catalog entries through the ERP rather than generating an answer—which is the right design decision stated out loud.

The firm was founded in 2025 with fewer than ten people, so the depth sits in the founder's published background, a Delft computer-science degree with a thesis on language-model performance, rather than in a delivery history—and no reference carries an outcome number.

The weaker fit is a buyer who needs proof a system held up over years; at €45–85/h with an OpenAI partnership and this much published detail, the trade is specificity now against track record later.

Key strengths

  • Nine named clients, with each reference stating the architecture rather than the benefit: scoring layers, telephony integration, ERP-linked retrieval
  • Design decisions are defended, including a deterministic recommender chosen over a generative one
  • The founder's technical background is published and checkable, and the firm is an OpenAI Select Partner

Good to know

  • No reference carries a measured outcome—ask each named client what changed after launch
  • Founded in 2025 with fewer than ten people—ask what happens to support and maintenance as the client list grows
  • Several references are recent builds—ask which systems have been running longest and what broke
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 7 Sept 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.


How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

Documented engagements: Polfin, Bent, SYYNCH, AI Convert It, and Lupit Pole. All 5 carry a source URL on file.

PolfinSales intelligence over ten years of client-interaction data in a 35,000-lead CRM: a three-score model (fit, engagement and a language-model-derived intent score) plus a cooling and risk layer for early churn detection, feeding a scoring-driven workflow engine that turns outcomes into tiered sales tasksSource
BentBent Asistent, a customer-support agent for a wholesale supplier of industrial cleaning products that gives deterministic product recommendations by linking to real catalog entries through the ERP rather than generating answersSource
SYYNCHFull-stack platform for high-end watch collectors, taken from zero to the App Store in under six monthsSource
AI Convert ItSales-focused AI assistant that engages e-commerce visitors who would otherwise leave without buying, built after research interviews with e-commerce operatorsSource
Lupit PoleIoT data integration and analytics giving the manufacturer real-time visibility of production productivitySource

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