Tesyda is a Prague-based SaaS startup building BESEGMA, an AI-powered predictive analytics platform that turns historical business data into forecasts for revenue, churn and customer behaviour. The platform combines machine learning models and behavioural segmentation to generate propensity scores, highlight high-value leads and surface risks across the customer lifecycle, all exposed through a business-friendly interface rather than raw data science tooling.
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In the demo, Monika shows how non-technical users can work with an embedded copilot inside BESEGMA: you describe what you want to predict, such as next year’s turnover or customer churn, and the system builds a model on top of your historical CRM, ERP or Excel/CSV data. Tesyda provides native connectors to common CRM systems and can add custom connectors, so data ingestion becomes a one-click part of the workflow rather than an IT project. Once trained on your own historical records, the platform outputs dashboards, graphs and exports to Excel that managers can plug directly into their planning workflow.
Beyond the interface, Tesyda emphasises data privacy and control. BESEGMA runs as a standalone cloud platform with in-house AI models, avoiding external AI APIs so that propensity models and prediction outputs never leave Tesyda’s controlled environment. The stack includes built-in encryption, data anonymisation and GDPR-compliant hosting, with a design where even Tesyda’s team cannot access raw customer data unless explicitly requested for support, which is important for regulated sectors such as pharmaceuticals and manufacturing.
Recorded at Web Summit Lisbon 2025, the conversation also touches on how the product emerged from Monika’s previous experience as CEO of a telecom and cloud software company, where large volumes of operational and sales data were collected but rarely converted into actionable forecasts. Tesyda’s team of roughly ten people, mostly developers, is now focused on extending BESEGMA’s copilot capabilities, adding more CRM and ERP integrations and refining the forecasting engine so that small and mid-sized companies can use the same techniques as larger data teams without needing in-house data scientists.
Commercially, BESEGMA is offered on a subscription basis, typically in the low hundreds of euros per month, with a built-in allowance of predictions and the option to top up usage when running more scenarios. Under the hood, the platform implements Behavioural Segmentation Analysis and custom propensity models tailored to each customer, helping users prioritise leads, shorten deal cycles and test what-if scenarios around churn or demand without pretending to be 100% certain about the future.
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