Security & Trust

Security & Trust

At Reml, trust is foundational. We design our technology to protect client data, respect professional judgment, and operate with the rigor expected by institutional investors.

At Reml, trust is foundational. We design our technology to protect client data, respect professional judgment, and operate with the rigor expected by institutional investors.

At Reml, trust is foundational. We design our technology to protect client data, respect professional judgment, and operate with the rigor expected by institutional investors.

Our Commitment

Our Commitment

Reml is built to serve long-term, institutional use cases. We take a principled approach to security, privacy, and responsible AI—because durable intelligence systems require durable trust.
Reml is built to serve long-term, institutional use cases. We take a principled approach to security, privacy, and responsible AI—because durable intelligence systems require durable trust.

Responsible AI Statement

Responsible AI Statement

At Reml, we build AI to augment professional judgment, not replace it. Our systems are purpose-built for institutional workflows, operate within strict data boundaries, and are governed by human oversight at every critical step. Client data is never sold, shared, or used to train public AI models. We believe responsible AI is defined by discipline, transparency, and accountability—so intelligence remains trustworthy, explainable, and aligned with real-world decision-making.
At Reml, we build AI to augment professional judgment, not replace it. Our systems are purpose-built for institutional workflows, operate within strict data boundaries, and are governed by human oversight at every critical step. Client data is never sold, shared, or used to train public AI models. We believe responsible AI is defined by discipline, transparency, and accountability—so intelligence remains trustworthy, explainable, and aligned with real-world decision-making.
01
Data Security
Data Security

All customer data is encrypted in transit and at rest using industry-standard protocols

All customer data is encrypted in transit and at rest using industry-standard protocols

Reml is hosted on enterprise-grade cloud infrastructure with built-in security controls

Reml is hosted on enterprise-grade cloud infrastructure with built-in security controls

Production and development environments are strictly separated

Production and development environments are strictly separated

Production and development environments are strictly separated

02
Data Isolation & Ownership
Data Isolation & Ownership

Customer data is logically isolated by tenant

Customer data is logically isolated by tenant

Customer data is logically isolated by tenant

No cross-client data access or visibility

No cross-client data access or visibility

No cross-client data access or visibility

Clients retain full ownership of their data at all times

Clients retain full ownership of their data at all times

Clients retain full ownership of their data at all times

03
Access Control
Access Control

Role-based access control with least-privilege principles

Role-based access control with least-privilege principles

Role-based access control with least-privilege principles

Multi-factor authentication for administrative and production access

Multi-factor authentication for administrative and production access

Multi-factor authentication for administrative and production access

Access is regularly reviewed and promptly revoked when no longer required

Access is regularly reviewed and promptly revoked when no longer required

Access is regularly reviewed and promptly revoked when no longer required

04
AI & Responsible Data Use
AI & Responsible Data Use

Client data is never sold or shared with third parties

Client data is never sold or shared with third parties

Client data is never sold or shared with third parties

Client data is not used to train public or third-party AI models

Client data is not used to train public or third-party AI models

Client data is not used to train public or third-party AI models

AI systems operate strictly within customer-specific data boundaries

AI systems operate strictly within customer-specific data boundaries

AI systems operate strictly within customer-specific data boundaries

Reml’s AI is designed to support—not replace—professional judgment, with

human-in-the-loop workflows at the core

Reml’s AI is designed to support—not replace—professional judgment, withhuman-in-the-loop workflows at the core

Reml’s AI is designed to support—not replace—professional judgment, with

human-in-the-loop workflows at the core

05
Operational Security
Operational Security

Continuous system monitoring and audit logging

Continuous system monitoring and audit logging

Continuous system monitoring and audit logging

Encrypted backups and disaster recovery processes

Encrypted backups and disaster recovery processes

Encrypted backups and disaster recovery processes

Incident response procedures in place to address security events promptly

and responsibly

Incident response procedures in place to address security events promptly and responsibly

Incident response procedures in place to address security events promptly

and responsibly

06
Compliance & Security Roadmap
Compliance & Security Roadmap

Security controls aligned with SOC 2 Trust Services Criteria

Security controls aligned with SOC 2 Trust Services Criteria

Security controls aligned with SOC 2 Trust Services Criteria

SOC 2 Type I certification planned as part of our enterprise readiness

roadmap

SOC 2 Type I certification planned as part of our enterprise readiness roadmap

SOC 2 Type I certification planned as part of our enterprise readiness

roadmap