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
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Secure meeting capture
Capture meeting audio and metadata without relying on third-party SaaS pipelines or unauthorised bots joining calls.
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On-prem transcription and translation
Speech-to-text and multilingual translation run fully within your perimeter, including restricted and air-gapped environments.
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Private meeting notes and outputs
Generate summaries, action items, decisions, risks, and key topics. All outputs are stored, governed, and audited inside your environment.
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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.
Built for regulated industries
Designed for organisations where meeting data is legally sensitive, commercially critical, or regulator-controlled:
- Financial services and insurance
- Legal firms
- Healthcare and life sciences
- Government, defence, and critical infrastructure
- Any organisation with strict data residency or vendor risk requirements
Cloud vs On-Premise
- Audio and transcripts processed in vendor-managed infrastructure
- Shared or opaque AI model stacks
- Data protection enforced via policy and contracts
- Multiple subprocessors and outbound data flows
- Frequently blocked by InfoSec or General Counsel
- Optimised for speed and convenience
- All processing contained within your network perimeter
- Bring your own AI models, tuned to your domain
- Data protection enforced by architecture, not just policy
- No subprocessors, no outbound data flows
- Designed to pass InfoSec and regulatory review
- Optimised for control, auditability, and compliance