For decades we have delivered advisory work, bought it, and built the technology behind it.
Co-founder & Chief Technology Officer
A former AI and analytics lead at a technology company with over $10bn in annual revenue, Viktor led AI initiatives that added over $30m a year in revenue through e-commerce ranking improvements.
Viktor holds a PhD in Computer Science focused on structured reasoning technologies and has spent 13 years building data-driven products and applying AI to complex workflows.
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 over $50bn. He came up to that from assistant, across 25 years in professional services.
Andrei knows where the hours on an engagement go, which of them earn the fee, and which a machine could take over without breaking the firm's risk and data rules.
Co-founder & Chief Executive Officer
Over eleven years as head of corporate debt recovery at a $500bn-asset bank, Yan resolved more than $20bn of distressed corporate debt.
Yan engaged consultants on due diligence, valuation and restructuring throughout, and knows what a demanding client looks for in those reports. He holds a PhD in Law and completed executive programmes at London Business School and Imperial College Business School.
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.