Built for French CGPs & gestionnaires de patrimoine

Revenue and net new assets by advisor and household, vs target.
Just ask.

Vos outils de gestion (Manymore, Harvest, O2S), votre CRM, les assureurs-vie (Generali, Cardif, Apicil) et votre comptabilité ne se parlent pas. Pillar les unifie et répond en clair — avec un chiffre sourcé, traçable, conforme AMF. Sans équipe data.

Pillar · Ask Your Data Prod
Chiffre d’affaires et collecte nette par conseiller ce trimestre vs objectif.
Resolving question
Matching governed metrics & citations
Metric match Read-only query Citations

Your stack. Already connected.

Pennylane et Qonto sont natifs. Les assureurs-vie (Generali, Cardif, Apicil, Spirica, Suravenir) et les outils CGP (Manymore, Harvest O2S, Quantalys) se branchent via flux fichier, API ou back-office.

Connected day one Via API Via file / export Swaps with your region
WEALTH CRMSalesforce FSCHubSpotintelliflo iOIress XplanWealthboxCRMPORTFOLIO & PERFORMANCEOrionTamaracAssetmaxWealthArcWIZEPortfolio & performanceCUSTODY / PLATFORM FEEDSSchwabFidelityPershingFNZCustody / platformPLANNING & FUND DATAeMoneyMoneyGuideProQuantalysBilling & feesGL / ACCOUNTING ⇄XeroQuickBooksNetSuiteBusiness CentralPAYROLL ⇄ADPGustoRipplingDeelGLFINANCEAsk Your Dataone governed answerCLIENT

Common questions for Wealth & RIA firms

Orion and Redtail already have analytics. Why Pillar?
Those report inside one system. The hard questions cross systems: billed fees vs GL, NNA across custodians, household profitability across CRM and billing. That join is what we do.
We’re an RIA — data security and compliance are non-negotiable.
Every answer carries a grounded citation: tables, columns, filter, time window. Metric definitions are versioned. AI-proposed definitions need human approval. EU-hosted, GDPR.
Our books are messy — we’ve acquired several practices on different systems.
That’s the value. We unify mixed estates into one governed metric set. CSV export works everywhere, so even an acquired book that only exports files is in.
We don’t have a data team.
You don’t need one. Connect your systems and ask. Operations gets the answer instead of building the spreadsheet.

See it on your stack.

30 minutes on your real numbers.