TranslateMyCall

Flux Interpreting is an AI interpreting solution designed to modernize language services for LSPs. It combines on-prem/offline models with configurable per-job customization to deliver secure, fast, and accurate interpretation across multiple languages. Led by a collaboration of Stanford AI Lab & YC Alumni, and guided by Alex Kolchinski, Flux Interpreting aims to help you offer cutting-edge AI interpreting to your customers while staying ahead of the curve.

Pricing starts at $.10 to $.30 per minute depending on use case. The platform supports 32 languages out of the box, with more available upon request. HIPAA-compliant workflows and offline/off-prem models are available to meet strict privacy and data-security requirements.

Key Capabilities

• AI interpreting for real-time and contextual language transmission
• 32 languages supported by default; additional languages available on request
• HIPAA-compliant data handling and on-prem/offline model options for sensitive environments
• Per-job customization: glossaries, style guides, and domain-specific configurations
• Team-led development and support from Stanford AI Lab & YC Alumni, led by Alex Kolchinski
• Easy deployment: select language, interpret with Flux AI, or contact for more information

How to Use Flux Interpreting

1. Select your language. Choose the source/target languages from the language selector.
2. Choose interpretation mode. Use Flux AI for interpretation or reach out to customize workflows.
3. Per-job customization (optional). Apply glossaries, style guides, and domain-specific configurations to tailor interpretation to your needs.
4. Proceed with interpretation. Start interpreting in real-time or for recorded content as supported.
5. Contact for enterprise options. For larger deployments, on-prem/offline models and advanced customization are available.

Safety and Compliance

• HIPAA-compliant workflows and offline/on-prem options to meet privacy and security requirements.
• Appropriate usage aligned with your privacy policies and regulatory obligations.

Core Features

• On-premise/offline AI interpreting options for sensitive deployments
• Per-job customization: glossaries, style guides, and domain-specific configurations
• 32 languages supported with scalable language expansion on request
• HIPAA-compliant data handling and secure processing
• Quick access language selection and interpretation workflow
• Leadership and support from Stanford AI Lab & YC Alumni (Alex Kolchinski)