Data & document analytics for financial advisory firms
Keeping pace with AI takes time, expertise and continual investment. Moby is your analytics partner: you lead the client relationship and exercise professional judgement; we deliver the data and document analysis behind your advice, combining Big Four experience with software engineering.
First version within 24 hours on most engagements, once the scope is agreed and the required data received.
The challenge
Selecting AI tools, integrating them into established workflows and training people to use them well is an ongoing commitment. Your client work still needs to move forward.
Your analytics partner
We evaluate new tools, build the workflows and run the analysis. Our Big Four advisory experience helps us turn your questions into workpapers your team can review, challenge and use.
Inconsistent exports. Scanned files. Years of amendments. We specialize in bringing large volumes of heterogeneous data together, then making them useful to the people doing the analysis.
Revenue and margin analysis, customer cohorts, working-capital movements and reconciliations across financial sources.
Transaction testing, duplicate detection and exception analysis across ledgers, invoices and supporting documents.
Bespoke analysis for complex financial questions, combining large datasets and supporting documents.
Meet the founders
Dimitri and Thomas built a business analytics team together and trained financial auditors and advisers. That shared experience connects the technology we build with the work your team needs to deliver.
The startup accelerator behind Airbnb, Stripe and Dropbox.
Co-founder · Financial advisory & analytics
Big Four · Projects across Europe
Dimitri’s Big Four experience spans transaction services, internal controls, capital markets and audit. He has worked on special projects across Europe and built analytics capabilities for financial advisory teams. He brings a practitioner’s understanding of the financial questions, the evidence and the review standards behind each engagement.
Co-founder · Engineering & technology
Capgemini · Software engineering leadership
Thomas brings experience at Capgemini and in leading software development teams. His work spans software engineering, business analytics and the training of financial auditors and advisers. He translates the needs of advisory teams into analytical tools and workflows built for practical use.
Selected work
From an industrial data room to a portfolio of contracts: reconciled data and analysis ready for your team to review.
Case study 1 of 3: Financial due diligence
<24hto deliver the financial due diligence data pack
Industrial company
For a buy-side review of an industrial company, we consolidated three years of financial and operating data from the data room and reconciled them with the seller’s vendor due diligence (VDD).
Management accounts reconciled to the general ledger and statutory accounts, with payroll checked against recorded personnel costs.
Monthly revenue, costs and margins analysed alongside production tonnage, headcount and hours worked to examine productivity and under-utilisation.
A review of key events over three years and a reconciliation of the VDD’s quality-of-earnings (QoE) bridge, from the pack’s P&L to normalised EBITDA.
2,000+lease contracts and amendments
Personal services company
Contracts and amendments accumulated over decades. We extracted and consolidated the terms so the CFO and finance team could see the lease portfolio and its contractual costs.
7,000+invoices analyzed and reconciled
Spare-parts distributor
A large invoice collection needed to be reconciled with the accounts. We extracted the invoice data, matched it to accounting records and reviewed the reconciliation.
Security & confidentiality
A secure, custom-built architecture for sensitive financial work, with clear commitments on data protection, confidentiality and residency.
Our providers process your data under zero data retention terms.
A dedicated addendum formalises our professional secrecy obligations.
Your project data is hosted in the European Union.
Your project data is handled and processed in compliance with the GDPR.
Working together
A clear scope and a first deliverable give your team something concrete to review. Close collaboration keeps the analysis moving as new questions emerge.
We review a representative sample with you, then agree the deliverables, fixed fee and timeline before work begins.
On most engagements, a first version is ready within 24 hours of scope agreement and receipt of the required data. Larger or more complex requests follow an agreed timeline.
We work through your feedback, investigate findings and refine the deliverable as the engagement develops.
It means a first version for your team to review, on most engagements, once the scope is agreed and the required data received. We agree the full delivery timeline upfront, including a longer initial turnaround where the scale or complexity requires it.
Yes. Messy, heterogeneous data is a core part of our work, from accounting exports and spreadsheets to scanned documents and contract amendments. We review a representative sample before confirming the scope.
Our architecture supports up to 10 million documents and petabyte-scale datasets where required. We assess the data, processing requirements and expected output before agreeing the delivery plan.
Yes. These are scoped engagements delivered by our team. Moby for Excel is software your team can use for recurring work. Project fees are agreed separately from the software subscription.
Your next engagement
Bring us the financial questions and source files. We’ll define the analysis together, deliver a first version and refine it with your team.
A representative data sample is required for a fixed quote. Project fees are separate from the software subscription.