CENTRL provides a purpose‑built AI platform that automates manager research, due‑diligence, and questionnaire responses for institutional investors, asset managers, banks, and service providers. By ingesting data from CRMs, document repositories and market sources, its domain‑trained large language models auto‑populate RFPs, DDQs and reports, delivering centralized, audit‑ready dashboards and workflow automation to reduce manual effort, improve decision speed, and support compliance.
Funding
$5.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Financial institutions and asset managers rely on manual, fragmented due‑diligence, RFP and reporting workflows that require extensive data collection, repetitive questionnaire completion, and significant analyst time, leading to high operational costs, delayed decision‑making, and regulatory risk.
Solution
CENTRL offers a purpose‑built AI platform that automates manager research, diligence, and response processes for the investment industry. The platform ingests data from CRMs, document repositories and market sources, then uses domain‑trained large language models to auto‑populate questionnaires, evaluate risk criteria, and generate structured reports. Workflow automation and centralized dashboards provide real‑time visibility across funds, managers and third‑party relationships, while audit‑ready records support compliance. The solution is delivered as an enterprise‑grade SaaS hosted on AWS, enabling rapid onboarding and scalable usage across large organizations.
Target Audience
Primary customers are institutional asset owners and allocators, asset managers, large banks’ securities services and custody divisions, and financial‑service technology providers that need to automate due‑diligence and RFP workflows.
Features
- DD360 module that automates operational due‑diligence questionnaires with AI‑driven smart populate and auto‑evaluate functions
- Response360 tool for rapid, AI‑generated answers to RFPs, DDQs and investor requests
- BNM360 suite for banks to inventory third‑party relationships, manage cost, and monitor spending
- Vendor360 platform for service providers to oversee their own vendor risk lifecycle
- Domain‑specific AI models (CentrlGPT) trained on investment‑industry data for higher accuracy and compliance
- Integrated dashboards that consolidate fund, manager and risk data into a single, audit‑ready view
- Enterprise SaaS infrastructure on AWS supporting high‑volume data ingestion and global user access
- API and workflow connectors for seamless integration with existing CRM, document management and EHR systems