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Flashback Enterprise AI Gateway

Secure Enterprise Gateway for AI Access and Governance

Secure AI access with full policy control and multi-provider flexibility for usage of ChatGPT, Google Gemini, and Claude.

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Capabilities

Security, compliance, and flexibility

Flashback routes every AI request, whether from internal employees or application traffic, through a secure, policy-controlled gateway. You get complete oversight, vendor independence and full control over how models are accessed and how your data is protected.

Policy and Compliance Layer

Policy and Compliance Layer

Carry out robust policy enforcement and data anonymization.

Multi-Provider AI Routing

Multi-Provider AI Routing

Switch and blend AI providers to avoid vendor lock-in and optimize for cost or performance.

Visibility and Governance

Visibility and Governance

Monitor usage, costs, and policy compliance in real-time.

Product

Two ways to use Flashback.

Bring secure and compliant AI to your company.

Private AI Chat (Enterprises)

Private AI Chat (Enterprises)

A secure employee chat interface that uses memory, anonymization and policy screening before any request reaches external models.

Explore Privacy Chat
AI Gateway (Developers)

AI Gateway (Developers)

A developer focused API that routes requests across multiple providers. Offers granular token observability, failover and governance.

Explore Gateway API

Frequently Asked Questions

No. Flashback does not replace models like OpenAI, Gemini, or Claude. Flashback acts as a secure enterprise gateway that governs, secures, and intermediates how your organisation uses those models.

Flashback sits between your applications and AI providers, enforcing policy, observability, and routing. It allows you to use LLMs with internal context while controlling what data is sent, logged, or retained, depending on your deployment and configuration.

We support leading commercial models such as OpenAI (ChatGPT), Google Gemini, and Anthropic Claude, as well as open-source and private LLMs.

You can also connect any OpenAI-compatible endpoint, including self-hosted models or third-party providers. This lets your application keep a single OpenAI-style SDK while routing requests across multiple models and providers through Flashback.

Yes. Flashback lets you use multiple AI models simultaneously or switch between them in seconds for resilience, cost optimization, and automatic failover.

You can also maintain persistent, searchable context across sessions and models, with full control over where that context is stored and how long it is retained.

Flashback does not train models on your data. Data is routed according to your configuration, and you control whether prompts, responses, or metadata are stored, encrypted, or discarded. Flashback can be deployed in your own cloud environment to keep data within your security perimeter.

Yes. Flashback is designed for enterprise deployment and can run within your cloud environment, giving you full control over networking, access policies, and data residency.

We support both real-time and periodic monitoring. Bridge Nodes continuously collect telemetry such as request counts, errors, token usage, latency, and volumes, depending on your integration.

This data is available in the management analytics dashboard, with optional weekly or monthly exports for FinOps and reporting workflows.

With minimal code changes and a familiar API interface, most teams can complete an initial setup within a day.

Production deployments, including security reviews and custom policies, typically follow your existing enterprise approval processes without requiring changes to end-user workflows or retraining.

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