Insynaps

Bratislava, Slovaquie

L’IA, avec le sens des affaires

INSYNAPS est une société de conseil et de mise en œuvre en IA basée à Bratislava, en Slovaquie. Nous concevons, développons et déployons des solutions d’IA sur mesure reposant sur de grands modèles de langage pour des entreprises de taille intermédiaire et de grandes entreprises en Slovaquie, en République tchèque et en Europe centrale. Nous ne revendons ni plateformes ni modèles prédéfinis. Chaque solution est conçue pour répondre aux processus, aux données et aux contraintes spécifiques du client, et fonctionne en production, où elle doit générer des résultats mesurables. Jusqu’à 70 % des données d’entreprise sont non structurées, et c’est précisément sur ce type de données que nous travaillons : e-mails, documents, notes, appels et retours clients que l’automatisation classique ne peut pas traiter. Nos services : - Traitement des données non structurées – transformation du texte libre en données structurées pour la BI, le CRM et les systèmes centraux - Automatisation des processus documentaires – lecture, extraction et traitement des documents provenant des autorités, des tribunaux et des partenaires - Analyse de la connaissance client à partir des appels, des e-mails et des avis (Feedsight) - Recherche sémantique dans des bases de connaissances fragmentées - Contenus produits personnalisés et systèmes de recommandation - Anonymisation des données sur site pour la conformité au RGPD (AI Anonymizer) Notre méthode : atelier IA → évaluation des opportunités → preuve de concept sur vos données réelles (4 à 8 semaines) → mise en œuvre avec suivi et optimisation. Résultats : évaluation des créances réduite de deux semaines à une heure et traitement automatisé à 100 % des documents d’exécution (Dôvera) ; plus de 100 KPI extraits automatiquement de rapports de portefeuille (Vestberry) ; des milliers d’avis traités chaque jour pour alimenter la BI en temps réel (Muziker). Les données des clients ne sont jamais utilisées pour entraîner des modèles de langage et ne quittent jamais l’environnement du client, ce qui nous permet de travailler dans les secteurs de la santé, de l’assurance et de la finance. Notre équipe dirigeante cumule plus de 20 ans d’expérience chez Accenture, Deloitte et Mazars.

10 personnes dans leur équipe

Parle Anglais, Allemand, Slovaque, Tchèque

6 projets dans leur portefeuille

Travaille à distance à travers le monde

Membre Sortlist depuis 2026

Fondée en 2023

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Services

4 services offerts par Insynaps

Description
INSYNAPS designs, builds, and deploys custom AI solutions based on large language models for mid-market and enterprise clients – primarily in Slovakia and the Czech Republic. We do not sell platforms or templates: every solution is architected for the client's specific processes, data, and constraints, and runs in production, not in a slide deck. Our focus areas are unstructured data processing (emails, reports, notes and free text turned into structured output for BI, CRM and core systems), automation of document-heavy back-office workflows (reading, extracting and responding to documents from authorities, courts, enforcement officers and partners), customer intelligence from calls, emails and reviews, semantic search across fragmented knowledge bases, and hyper-personalised product content. How we work: (1) AI Workshop – we map and prioritise AI use cases in your environment; (2) Opportunity Assessment – process analysis, high-potential areas, business case and next steps; (3) Proof of Concept – functionality verified on your real data in 4–8 weeks before any full commitment; (4) Solution Implementation – deployment, integration, performance monitoring and optimisation. What clients can expect: measurable results defined upfront, transparent communication and a team that understands your business, not just the technology. Reference outcomes include a health insurer's write-off evaluation cut from two weeks to one hour, 100% automated processing of enforcement documents with 60%+ back-office time saved, and 100+ KPIs extracted automatically from portfolio company reports in any format or language. Client data is never used to train language models and never leaves the client's controlled environment – which is why we can operate in healthcare, insurance and financial services. Leadership brings 20+ years of experience from Accenture, Deloitte and Mazars.
Compétences en Intelligence Artificielle (8)
Développement IADéveloppement de chatbotMachine learningIntelligence artificielleExpertise IAInformatique cognitiveStratégie d'IAAgents IA
Projets en Intelligence Artificielle (6)
Clients en Intelligence Artificielle (2)
DôveraAssurance | national
MuzikerE-commerce | international
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Description
Our innovation work has one purpose: turning AI from a strategic ambition into working processes. We help mid-market and enterprise companies identify where large language models create real business value, validate it on their own data, and take it into production. We start with an AI Workshop that maps and prioritises use cases across the client's operations – back office, customer care, reporting, product and content. An Opportunity Assessment follows: process analysis, data readiness, business case and a concrete roadmap. Ideas that hold up move into a Proof of Concept on real client data within 4–8 weeks, so decisions are based on measured results rather than vendor promises. What proves itself, we implement – including data engineering, integrations with existing systems (CRM, ERP, BI, document management) and performance monitoring after launch. Our edge is combining 20+ years of consulting and digital transformation experience (Accenture, Deloitte, Mazars) with a sister company doing fundamental AI research. We can tell genuine innovation from hype, and we design for the client's real constraints – regulation, legacy systems, data protection. Client data never stays in language models and never leaves the client's environment. Examples: a health insurer's write-off evaluation cut from two weeks to one hour; enforcement documents processed 100% automatically with 60%+ back-office time saved; workshop recordings turned into structured requirements documentation in hours instead of weeks (O2); a recommendation engine that won a three-vendor pilot at Martinus.
Compétences en Innovation (9)
InnovationBIInnovation digitaleTransformation numériqueNLPAnalyse PrédictiveRPAInnovationgestion de l'innovation
Projets en Innovation (6)
Clients en Innovation (2)
DôveraAssurance | national
MuzikerE-commerce | international
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Description
Our data consulting focuses on the data most companies cannot use: the unstructured 70%. Emails, reports, contracts, meeting notes, call transcripts and customer feedback hold critical business information, but classic analytics and automation cannot read them. We turn this data into structured, reliable inputs for BI, CRM and core systems using large language models. Typical engagements start with data discovery – mapping which unstructured sources exist, what value they hold and how clean and accessible they are. From there we design and build the extraction and processing pipelines: classification, entity and KPI extraction, sentiment and topic analysis, semantic search across fragmented knowledge bases. Outputs land where the business works – in existing BI tools, dashboards, reports and early-warning notifications, or written directly into operational systems. The engineering side is part of the offer, not an afterthought: data pipelines, integrations with CRM, ERP and document management systems, quality monitoring and human-in-the-loop handling of edge cases. All solutions are built for regulated environments – client data never stays in language models and never leaves the client's controlled infrastructure. Examples: 100+ KPIs extracted automatically from portfolio company reports in any format or language, cutting hours of manual work to minutes (Vestberry); structured dosage and product data pulled from dozens of package leaflets without manual input (Dôvera); thousands of customer reviews a day processed into real-time BI dashboards with early-warning alerts (Muziker, Feedsight).
Compétences en Data Consulting (10)
Consulting dataAnalytique big dataData analyticsRecherche de donnéesData reportingVisualisation de donnéesConsultance en analyse de donnéesConsultance en data scienceScience des donnéesGénie des données
Projets en Data Consulting (6)
Clients en Data Consulting (2)
DôveraAssurance | national
MuzikerE-commerce | international
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Description
We build custom software where AI is the core, not a feature. Our development work covers the full path from a validated proof of concept to a production system that runs inside the client's environment: LLM-based applications, document processing pipelines, data extraction and classification services, semantic search, recommendation engines, and customer-feedback analytics. Enterprise integration is where most AI projects fail, so it is where we put the engineering effort. We connect solutions to the systems that already run the business – CRM, ERP, BI, document management, e-mail and case-handling tools – and to the regulatory infrastructure of the market, including qualified electronic signature (KEP/QES) and Slovak e-mailbox integration. Solutions are deployed on-premise, in private cloud or hybrid, with monitoring, audit trails and human-in-the-loop handling of edge cases. We work in short iterations with clear milestones: proof of concept in 4–8 weeks, then incremental delivery into production. Clients get a solution architected for their constraints – legacy systems, data protection, regulatory requirements – not a generic platform configured to fit. Client data is never used to train language models and never leaves the client's controlled environment. Beyond bespoke projects, we have productised three solutions born from client work: Feedsight (customer-feedback analytics with BI dashboards and early-warning alerts), AI Anonymizer (on-premise document anonymisation for GDPR compliance) and AI Document Automation (end-to-end processing of third-party documents from authorities and courts, with 100% automated processing and 60%+ back-office time saved at a major health insurer).
Compétences en Développement de Logiciel (7)
IntégrationArchitecture logicielleDéveloppement de logicielGénie logicielDéveloppement de logiciels personnalisésConsultation logicielleDéveloppement de logiciels d'entreprise
En savoir plus sur Développement de Logiciel