A Sovereign Bifrost Alternative
Bifrost made the gateway fast. Speed is now table stakes: the Scrydon AI Gateway adds single-digit milliseconds too, and spends them on the thing a model-only gateway cannot do — every call running as a person, under one policy that also governs tools and egress.
Bifrost is an open-source LLM gateway built for throughput: one unified API across providers, virtual keys and budgets, caching and observability, with very low overhead per request. The Scrydon AI Gateway starts from a different question — not how fast can we route, but who is this, what may they reach, and what did their agent do next — and answers it inside your own perimeter. It stands alone and can be deployed on its own.
Read this if you're an engineering lead choosing a gateway who has been told performance is the deciding factor, and suspects the auditor will ask about something else.
Deploy the AI Gateway Starts at €500 / month on a yearly commitment, deployed on its own in a day.
The Scrydon AI Gateway is a sovereign alternative to Bifrost: a single governed endpoint that speaks the standard model APIs so existing tools reach any model unchanged, where every call runs under the caller's own federated identity rather than a virtual key, against a clearance-gated model allowlist, with data loss prevention, a spend cap and an immutable audit trail — at single-digit millisecond gateway overhead. It shares one policy and one audit chain with governed tool calls and sandbox egress, and runs air-gapped, on-premises or on a European sovereign cloud.
Bifrost, from Maxim AI, is a well-engineered open-source gateway: written for throughput, with a unified OpenAI-compatible API across providers, virtual keys and budgets, semantic caching, observability and a governance layer, and a serious claim to the lowest per-request overhead in the category. On latency the two are not far apart — the Scrydon AI Gateway's own time to first byte is a few milliseconds at the median, less than a cold TLS handshake to a vendor — so the choice does not turn on speed. It turns on identity and scope. A model-only gateway attributes a call to a key; the AI Gateway attributes it to a person in your own identity provider, and the same identity governs the tools the agent calls over MCP and the network its sandbox may reach. That is the difference between a compliance story and a security boundary.
Runs as a Person, Not a Key
Every call resolves through your identity provider to the human who made it. Per-developer cost, clearance-gated models and revocation on the next turn follow from that.
Fast, and Governed on Every Call
Allowlist, DLP, moderation, metering and audit add single-digit milliseconds of gateway time, with prompt caching preserved end to end.
Sovereign by Deployment
Air-gapped, on-premises or a European sovereign cloud, with open-weight models on your own hardware behind the same endpoint.
Bifrost Alternative in the Scrydon platform
One integrated, sovereign architecture. Here is where Bifrost Alternative sits — highlighted against the full stack it works with.
The AI OS for Humans & AI Agents
Ontology & Semantic Layer, one connected model for your data, knowledge & processes
Combining the best of data lakes, data warehouses and search
Governed access to every model, and the agents & workflows that execute across your systems
Integrate across A2A, MCP, legacy systems and data sources
Secure domain federation, trusted data sharing, and cross-boundary intelligence
Sovereign Foundations
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What Bifrost optimises for, and what the AI Gateway adds behind the same address
Bifrost's strength is engineering: a gateway written for throughput, one unified API across providers, virtual keys with budgets, caching and observability, and very little overhead per request. The Scrydon AI Gateway is fast too — single-digit milliseconds of gateway time at the median — and spends them differently: the call runs as a named person from your identity provider, the model allowlist follows that person's clearance, data loss prevention screens what leaves, and the audit record settles before the stream finishes. The vendor key is never issued to anyone.
The standard APIs, unchanged tools — Both speak the APIs your tools already speak, so coding agents and applications on a standard completions API run through either without modification.
Identity from your provider — Bifrost attributes a call to the virtual key that made it. The AI Gateway mints keys against a named person in your identity provider, with that person's delegated grants used when the agent goes on to call a tool.
Governance that costs milliseconds — Clearance-gated allowlist, data loss prevention, moderation, metering and audit run inline on streaming and non-streaming calls — measured, not estimated, against a real database.
One chain for tools and egress — The same policy snapshot and audit trail cover the tools the agent calls over MCP and the egress of the sandbox those tools run in, which no model-only gateway is positioned to see.
When the deciding factor turns out not to be latency
Bifrost is a fair choice where the gateway is judged on throughput and the estate is already governed elsewhere. The gap opens when someone asks who made a call, what their agent did after the model answered, and where the vendor key is — and finds that the answer is a key, a blind spot and a configuration file. Watch a developer work with an agent for an afternoon and only a minority of the calls are model calls; the rest reach systems that hold your data, and no model-only gateway is in that path. The Scrydon AI Gateway is built for that afternoon: every call attributable to a person, one policy and one audit chain across the model call, the tools the agent calls and the sandbox it runs in, deployed where your production runs — and deployable on its own before anything else is.
Scrydon AI Gateway vs Bifrost
Both are fast, both put every model behind one address, and both meter spend. The difference is who the call runs as, and whether governance stops at the model call.
| Capability | Scrydon | Bifrost |
|---|---|---|
| Who the call runs as | The person, resolved through your identity provider, with their own delegated grants | A virtual key, standing for a team or an application |
| Gateway overhead | Single-digit milliseconds at the median, measured against a real database, prompt caching preserved | Very low per-request overhead; built for throughput |
| Model calls governed | Clearance-gated allowlist, DLP, moderation, cap and immutable audit on every call | Model access per key, budgets and rate limits, a governance layer, logging |
| Tool calls governed | Same identity, policy and audit chain as the model call | Partly, where it also fronts MCP; not the caller's delegated grants |
| Network egress from the sandbox | Enforced outside the workload, which cannot reconfigure it | Out of scope |
| Where the vendor key lives | On the platform; never issued to a developer | In the gateway's configuration |
| Cost attribution | Per person, per team or unit, and per turn, by model, capability and workflow, with an on-pace projection and a cap | Per key and per team, with budgets |
| Deployment | Sovereign — air-gapped, on-premises or European cloud | Self-hosted binary or container, or the vendor's hosted offering |
| Pricing model | Fixed monthly fee for the cluster that carries your people, excluding hosting | Open source, with paid options from the vendor |
A category comparison, written to orient: Bifrost is a well-built gateway and we would not pretend otherwise. Bifrost is a product of Maxim AI; capabilities evolve — verify current details with the vendor.
Frequently asked questions
What is the best alternative to Bifrost for a regulated organisation?+
Is the Scrydon AI Gateway as fast as Bifrost?+
How is the AI Gateway different from Bifrost?+
Does the AI Gateway silently route to a cheaper model?+
Can we start with just the AI Gateway?+
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