Upside Lab
Kraków, Poland
About
Kraków consultancy building enterprise AI on top of governed data platforms — AI strategy and roadmapping, AI-ready data foundations, custom AI applications, enterprise integration and MLOps. Also publishes its own open-source agentic AI platform for e-commerce and an LLM-driven ETL tool.
Who They Work With
Teams that need governed, compliant data foundations before AI—healthcare research platforms or commerce running on real customer data.
Based on 5 client engagements with a source URL · researched 8 Sept 2026
Our Take
The Health Data Nexus is the one to read: a governed platform built with the University of Toronto's T-CAIREM so researchers can work on real clinical data, cleared through a formal Privacy Impact Assessment and Threat Risk Assessment under PHIPA and TCPS 2, with isolated cloud environments and no download path.
By May 2025 it hosted nine datasets—among them 14,000 patients across 22,000 visits, over 1,000 CT scans and a voice dataset—served researchers from five countries and carried four datathons; note where the AI sits, though: the compute story ends at Google Vertex AI access for researchers rather than at a model Upside trained.
The rest of the portfolio is e-commerce and platform engineering with commercial numbers attached—17% conversion improvement at SimOptions, 10x revenue growth after Winderen's MVP, $6.5M of automated purchases at Deltabadger—and the firm publishes Enthusiast, an open-source e-commerce assistant that runs against hosted APIs or self-hosted models.
The weaker fit is a buyer who needs a model built and evaluated; what is demonstrated here is the governed data foundation and the product around AI, which is usually what decides whether a model ever reaches users.
Key strengths
- Regulated data engineering is documented rather than claimed: PHIPA and TCPS 2 compliance, a Privacy Impact Assessment and Threat Risk Assessment, isolated environments with no download capability
- Adoption is reported, not promised—nine datasets, researchers in five countries, four datathons, and named hospital datasets behind them
- Publishes Enthusiast, an open-source e-commerce AI tool that supports self-hosted models such as LLaMA alongside SaaS APIs
Good to know
- In the flagship engagement the AI is what the platform enables; Upside's own work is governance and infrastructure—ask what modeling the team has done itself
- Outcomes elsewhere are commercial (conversion, revenue, transaction volume) rather than model metrics—ask for an evaluation you can inspect
- At 10-49 people, ask who operates the platform after launch; the €85-130/h shown here comes from third-party listings rather than from Upside
Reviewed by Gabor Kiss
Founder & Curator, AIAgencies.eu · 8 Sept 2026
Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.
Notable Clients
Documented engagements: University of Toronto (T-CAIREM), SimOptions, Winderen, Deltabadger, Artemest, and Samsung. All 6 carry a source URL on file.
Also worked with
Industries
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