Insynaps

Bratislava, Slovakia

AI with a sense for your business

INSYNAPS is an AI consulting and delivery company based in Bratislava, Slovakia. We design, build and deploy custom AI solutions built on large language models for mid-market and enterprise clients in Slovakia, the Czech Republic and Central Europe. We do not resell platforms or templates. Every solution is architected for the client's specific processes, data and constraints – and it runs in production, where it has to deliver measurable results. Up to 70% of enterprise data is unstructured, and that is where we work: emails, documents, notes, calls and customer feedback that classic automation cannot process. What we do: - Unstructured data processing – free text turned into structured output for BI, CRM and core systems - Document workflow automation – reading, extracting and responding to documents from authorities, courts and partners - Customer intelligence from calls, emails and reviews (Feedsight) - Semantic search across fragmented knowledge bases - Personalised product content and recommendation systems - On-premise data anonymisation for GDPR compliance (AI Anonymizer) How we work: AI Workshop → Opportunity Assessment → Proof of Concept on your real data (4–8 weeks) → Implementation with monitoring and optimisation. Results: write-off evaluation cut from two weeks to one hour and 100% automated processing of enforcement documents (Dôvera); 100+ KPIs extracted automatically from portfolio reports (Vestberry); thousands of reviews processed daily into real-time BI (Muziker). Client data is never used to train language models and never leaves the client's environment – which is why we work in healthcare, insurance and finance. Our leadership brings 20+ years of experience from Accenture, Deloitte and Mazars.

10 people in their team

Speaks English, German, Slovak, Czech

6 projects in their portfolio

Works remotely across the globe

Sortlist member since 2026

Founded in 2023

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Services

4 services offered by 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.
Skills in Artificial Intelligence (8)
AI DevelopmentChatbot DevelopmentMachine LearningArtificial IntelligenceAI ExpertiseCognitive ComputingAI StrategyAI Agents
Works in Artificial Intelligence (6)
Clients in Artificial Intelligence (2)
DôveraInsurance | 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.
Skills in Innovation (9)
InnovationBusiness IntelligenceDigital InnovationDigital TransformationNatural Language ProcessingPredictive AnalyticsRobotic Process AutomationInnovation ConsultingInnovation Management
Works in Innovation (6)
Clients in Innovation (2)
DôveraInsurance | 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).
Skills in Data Consulting (10)
Data ConsultingBig Data AnalyticsData AnalyticsData DiscoveryData ReportingData VisualizationData Analysis ConsultingData Science ConsultingData scienceData engineering
Works in Data Consulting (6)
Clients in Data Consulting (2)
DôveraInsurance | national
MuzikerE-commerce | international
Learn more about Data Consulting
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).
Skills in Software Development (7)
IntegrationSoftware ArchitectureSoftware DevelopmentSoftware EngineeringCustom Software DevelopmentSoftware ConsultingEnterprise Software Development
Learn more about Software Development