Legal
How matching, rationale, and in-product assistance use machine learning — written for the EU AI Act, UK transparency expectations, and US state automated-decision notices.
AllocatIN uses rules and machine-learning models to help professional users find counterparties and understand fit. This page is our transparency notice, including for EU AI Act Article 50 where it applies to AI-generated or AI-assisted content that people interact with.
AI output can be incomplete or wrong. Treat it as a workflow aid. Independent diligence is always required. AI output is not investment advice and is not a suitability determination.
You decide whether to connect, save, skip, message, or meet. We do not automatically allocate capital, rank managers by performance, or send outreach without a human approval step. We do not use solely automated processing to make a legal or similarly significant decision about you.
Models may receive profile fields, mandate text, and prompts needed to generate the feature you invoked. We do not send another tenant’s confidential workspace data to a model to answer your question. We do not use Customer Content to train public foundation models. Vendors are listed on Subprocessors. Customers may request tighter model-region routing.
We design these features as limited-risk / transparency-duty tools for professional workflow, not as a high-risk AI system that determines access to essential private services or that makes credit or insurance decisions. If a regulator takes a different view of a specific feature, we will update this notice and the product labels.
You can ignore or override any suggestion. You can tighten visibility so fewer fields enter matching. You can ask us how a particular explanation was produced by writing to privacy@allocatin.com. Rights to object to profiling are in the Privacy Policy.