Brexy
AI financial research platform
brexy.aiEnterprise evidence
Insufficient enterprise evidencePublic information covers security assurance, auditability, reliability & support. Still unresolved: sso & provisioning, access controls, data handling.
1 official source · Fresh page review · Not independently tested
Sources reviewed 2026-10-24
4 / 7 areas with published evidence · 0 independently verified
Evidence & checks
Security assuranceCompany-published
SOC 2 Type I AttestedReviewed 2026-10-24View source
Before relying on it
Request the current audit report, scope, exceptions and expiry; confirm the vendor entity.
SSO & provisioningNot found
Before relying on it
Test SSO enforcement, user removal and privileged-account recovery.
Access controlsNot found
Before relying on it
Test least-privilege roles and cross-tenant access with separate test accounts.
AuditabilityCompany-published
- Tess, Audit Reviewer: Audit trails, Evidence packs, Disclosure reviewReviewed 2026-10-24View source
Before relying on it
Verify administrative and data-access events, retention and export.
Data handlingNot found
Before relying on it
Review DPA, subprocessors, retention, deletion, residency and AI training use.
Reliability & supportCompany-published
- Ivy, Operations Lead: Workflow design, SLA tracking, HandoffsReviewed 2026-10-24View source
Before relying on it
Request SLA, incident history, recovery targets and support escalation terms.
Product effectivenessCompany-published
- Jonah, Feedback Analyst: Investor feedback, Perception studies, IR benchmarkingReviewed 2026-10-24View source
Before relying on it
Run a representative pilot against your current workflow; measure errors, missed cases, time saved and human review cost.
Published claims are not verified controls. No hands-on performance or security testing has been performed.
What we know
Brexy is positioned as an AI financial research platform for deal and investment teams that generates company profiles, market analysis, comparable analysis, diligence research, and investment memos while preserving source context for review. The investment-banking workflow map frames research-stage AI products as those that combine filings, research, private data, and internal materials into banker-consumable outputs.
Worth asking
Would a unified “research to memos/diligence” workflow (with source context preserved) replace parts of your current toolchain, and which memo types would you pilot to validate quality and reviewability?
Sources
Evidence details
Enterprise controls
Enterprise claims found; security controls are unconfirmed.
Developer access
API availability has not been verified.
Last checked Oct 24, 2026
Company-published evidence, not an independent audit. Unknown means unverified.