SECURE PLATFORM

On-Premise Meeting Capture for

Regulated Industries

Secure meeting notes and transcription without the cloud

In regulated environments, cloud meeting assistants are often blocked before they reach production. Data sovereignty, security policy, and audit requirements demand full control over sensitive conversations.

This platform delivers meeting capture, transcription, translation, and structured notes entirely inside your environment - deployed in a private cloud (your VPC) or fully on-premise. No external processing. No third-party data exposure. No compliance trade-offs.

Built for when control matters

Modern teams expect searchable transcripts, summaries, and AI-generated insights. Regulated organisations need those capabilities without sending meeting data to shared cloud infrastructure. This solution is designed for both.

Core capabilities

Secure meeting capture

Capture meeting audio and metadata without relying on third-party SaaS pipelines or unauthorised bots joining calls.
On-prem transcription and translation

Speech-to-text and multilingual translation run fully within your perimeter, including restricted and air-gapped environments.
Private meeting notes and outputs

Generate summaries, action items, decisions, risks, and key topics. All outputs are stored, governed, and audited inside your environment.
Enterprise-grade security controls

Encryption at rest and in transit, RBAC, SSO/SAML, configurable retention, consent handling, logging, and audit trails aligned to regulated security reviews.

Deployment that fits your security posture

Private cloud: AWS, Azure, or GCP (VPC-only, no public endpoints)
On-premise: data centre, sovereign cloud, restricted or isolated networks
Hybrid: central governance with local processing where required

You choose where processing happens and where data lives.

Power your own on-prem AI models

Most meeting tools lock you into a vendor controlled AI stack. This platform is model agnostic by design.

Run your own on-prem LLMs for summarisation, extraction, or reasoning
Use private speech-to-text and translation models, including domain-tuned variants
Swap or upgrade models without re-architecting the platform
Keep proprietary terminology, client data, and IP fully internal

Your data is never used to train third-party models. You decide if and how data is used, including internal fine-tuning under your governance.