AI as a method, not a feature
At Univerce, artificial intelligence is not a module added at the end of a project. It is the way we think, design and integrate every solution in our ecosystem, from commerce to enterprise knowledge. It is a structural choice that brings real value to our customers on three levels: productivity, governance, and decision-making.
Our approach
We believe in AI that enters processes, not sits alongside them. That's why we natively integrate it into the products that already govern our clients' business: e-commerce platforms, document systems, development environments, CRM, ERP. The goal is one: to transform every piece of business data, from transactional to tacit, into concrete, measurable actions.
We do not sell "AI." We build ecosystems where AI is a natural part of the value chain.
Where AI lives in our stack
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Highstreet.io
On the unified commerce platform, AI works below the surface: contextual recommendation engine, semantic search, catalog personalization, merchandising automation. Every customer interaction becomes a signal, every signal becomes a more relevant experience.
Shopify with Sidekick
For native Shopify projects we pair Sidekick, the AI assistant built into the platform, with our methodology. The merchant gets natural language insights into sales, products, and operations, while the Univerce team orchestrates upstream and downstream flows to make them effectively actionable in the customer's context.
Amaltia
Our proprietary tool. A generative AI platform that connects documents, databases and project tools into a private knowledge graph with dedicated cloud and native governance. It is the layer that transforms a company's distributed knowledge into operational, secure and traceable answers.
Custom Integrations
When the context requires it, we develop vertical AI agents: co-pilots for sales teams, automations for technical documentation, classifiers for customer care, assistants for compliance. Always within the customer's security perimeter, always with auditable audit logic.
Key benefits
Compositive productivity AI distributed across multiple levels of the system produces a cumulative effect: each department reclaims time in its repetitive tasks, and data generated at one point in the supply chain becomes fuel for others.
Faster, traceable decisions Contextualized and versioned insights reduce approval cycles, eliminate incomplete requirement errors, shorten time-to-market.
Governance by design End-to-end encryption, granular access policies, comprehensive audit trails. No data leakage to public models, no ambiguity about who saw what.
Scalability without rewriting Our solutions are born modular. They start with a use case, scale, extend to adjacent departments without having to rebuild the infrastructure.
Who we work for
Mid-market and enterprise companies that want to move from episodic experimentation with AI to a structured adoption strategy with observable results on business KPIs. We work with IT, operations, marketing, and commerce departments looking for a partner who can combine technical expertise, process knowledge, and accountability on releases.