# enliteAI > enliteAI is a reviewed AI agency in Vienna, Austria, listed in the AIAgencies.eu register and last assessed 2026-09-07. Canonical page: https://www.aiagencies.eu/agency/enliteai Generated: 2026-09-21 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold. ## Facts - Location: Vienna, Austria - Website: https://enlite.ai - Hourly rate: not published - Team size: 10-49 - Founded: 2017 - Services: AI Development, AI Agents, AI Consulting - Industries: Public Sector, Manufacturing - LinkedIn: https://www.linkedin.com/company/enliteai ## About enliteAI is a Vienna deep-tech AI consultancy and venture studio focused on reinforcement learning, working on power-grid optimization and industrial decision problems for energy and public-sector clients. ## Documented clients Documented engagements: TenneT, City of Vienna, Audi, Erste Group, and voestalpine. All 5 carry a source URL on file. ## Curator assessment Reviewed 2026-09-07 by Gabor Kiss against published evidence. The published evidence is research and product, not client delivery: enliteAI maintains Maze, an open-source applied reinforcement-learning framework, co-authored a 2025 paper with grid operator TenneT on power-grid topology control, and spun out Detekt, a GeoAI road-asset platform acquired by Cyclomedia in August 2025. Fifteen client logos are published—A1, Andritz, Audi, Boehringer Ingelheim, EY, Erste Group, voestalpine and the City of Vienna among them—but no engagement is described anywhere on the site, so what was built for whom stays unstated apart from the 2019 municipal AI strategy for Vienna. The energy work is presented as a methodology and a maturity model—a seven-step path toward autonomous digital twins for distribution grids—with integration claimed for Schneider Electric, Hitachi, Siemens and GE Vernova systems. Best for grid operators and optimization problems where reinforcement learning is genuinely the method; a buyer who needs to read what a comparable engagement delivered will have to ask for it directly. ### Key strengths - The method is checkable in public: a 2025 paper co-authored with grid operator TenneT on multi-objective grid topology control, plus first place in the 2022 L2RPN power-grid competition - Maze, their applied reinforcement-learning framework, is on GitHub—you can read how they build agents before hiring them - Detekt, the GeoAI platform they built and spun out, was acquired by Cyclomedia in 2025, which is shipped-product evidence even though it was their own venture ### Good to know - No client case study is published anywhere on the site—ask for a written engagement summary with outcomes before shortlisting - The energy work reads as a methodology and pilot framework rather than a live deployment—ask which grid operator is running it and at which maturity step - Computer vision is still listed as a capability, but Detekt, the team behind it, was sold in August 2025—confirm what vision capacity remains in-house ## Compared head-to-head - enliteAI vs craftworks: https://www.aiagencies.eu/compare/craftworks-vs-enliteai - enliteAI vs Waterglass: https://www.aiagencies.eu/compare/enliteai-vs-waterglass --- 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