Trust · Enterprise Security Architecture

Security designed for firms where client trust is everything.

When dealing with client financial statements, confidential meeting deliberations, and proprietary data, security cannot be an afterthought. We build with strict isolation and zero model training by default.

The Core Question

"Who can see our client data?"

Only your authorized team. We designed our entire architecture to answer this question unequivocally.

Your client files never train external foundation models. We do not aggregate customer datasets, we do not inspect your client records without written authorization, and we enforce strict cryptographic boundaries between client accounts.

A person from your team is always in control: every low-confidence extraction is staged for your approval before reaching external systems.


Foundations

Our four security pillars

01

Tenant Data Isolation

Each client operates in an isolated environment. Databases, vector indices, and document storage are partitioned at the tenant level with strict cryptographic boundary enforcement.

02

Zero-Retention Model Agreements

Your documents, statements, and transcripts never train public or third-party AI models. We enforce zero-data-retention API contracts with enterprise AI infrastructure providers.

03

Access Controls & Encryption

All data is encrypted in transit using TLS 1.3 and at rest using AES-256. Role-based access control (RBAC) and least-privilege principles govern all operational infrastructure.

04

Audit Trails & Human Review

Every extraction, query, and generation event produces an immutable audit log. Low-confidence fields are routed to human reviewers so nothing is committed without verification.

Lifecycle

How data flows through our pipelines

IngestionEncrypted transfer

Documents and audio streams are ingested over TLS 1.3 and stored in customer-isolated, encrypted cloud buckets.

ProcessingEphemeral inference

Text extraction and model inference occur in memory without persistent intermediary caches on external model servers.

StorageAES-256 at rest

Verified structured output is stored in customer-dedicated database tables. Encryption keys can be managed via AWS KMS or Azure Key Vault.

Retention & DeletionPolicy-based purging

Data is retained strictly according to your compliance schedule and permanently purged upon contract termination or on request.

Security commitments: [Security details to be confirmed by the owner].


Governance

Legal policies and terms

Review our formal terms, policies, and commitments:

Have specific security or compliance questions?

We regularly complete vendor security assessments and partner with security review teams for wealth advisory, consulting, and legal firms.

We use analytics cookies to see which pages help visitors. They stay off unless you accept.Read the cookie policy.