Our founding team has spent decades on every side of the table: delivering advisory services, buying them, and building the technology behind them.
Interiu AI S.L. was founded in Spain in 2024.
Member of NVIDIA Inception, AWS Activate, Microsoft Azure, Google Cloud, and OVH Cloud programs.
500k EUR deployed for R&D and development of Interiu technologies.
Co-founder & Head of Advisory
An ex-Partner at KPMG Deal Advisory and head of its restructuring practice, Andrei led international corporate debt restructuring projects totalling €50bn. He came up to that from assistant, across 25 years in professional services.
He knows where the hours go, what makes the money, which parts of the job can be automated and which cannot, and the risk management and data protection rules.
Co-founder & Chief Executive Officer
Yan ran a distressed corporate-asset portfolio of over €12bn at a €500bn-asset bank, where he engaged consultants on due diligence, valuation and debt restructuring. A banking executive for 14 years, he knows what a demanding client looks for in those reports.
Co-founder & Chief AI Officer
At the same bank Valerii led the AI engineers on one of its business lines, putting their systems into daily operations where they cut cost, lowered risk and raised what the line earned. Thirteen years of data science and artificial intelligence in production taught him how to automate a complex workflow.
Every team includes a senior subject matter expert from the advisory industry, at Partner or Director level, someone who has run these engagements.
With that person we take the process apart before anything is built: how each step is actually performed, and what it has to produce.
Your methodology and your proprietary data are the firm's core assets.
Both stay inside your own infrastructure, and neither trains a model nor moves into anyone else's environment.
These commitments are contractual, set out in the Master Services Agreement we publish in full, so you can hold us to them.
We choose a separate way of solving the tasks of every element of the process. Where it is needed we use code, classical machine learning models, and for tasks that require reasoning, large language models.
We give particular attention to security, the control of what AI agents learn from your work, memory systems, their correct use of tools, and preventing hallucination and deception.
Each finding carries a clear audit trail down to the underlying documents, transactions or records, and the logic behind it can be examined step by step. When a figure is corrected, the trail moves with it and nothing is left pointing at the old number.
The system does the work that supports a judgment. The decision itself stays with the professional, who reviews and challenges it before signing it off.
You deal directly with the people above. All three of us are in the detail of the matter, alongside the team, from scoping through to the review. Your own practice keeps a Partner on the file for the same reason, and we hold ourselves to it.
Bring us one workflow, the one that costs the most time. We will tell you whether it is worth automating, and if it is not, we will say so.