Omnia Voice vs Deepgram

Deepgram is one of the most established speech providers available, with the scale and operational maturity that implies. They also ship a Voice Agent API of their own, so this is not a comparison between a transcription vendor and an agent platform.

Start with the part that is not close: for transcription alone, Deepgram is far cheaper than we are. Their streaming and batch rates run at a fraction of a cent per minute against our $0.04. If raw speech-to-text at volume is what you are buying, buy theirs — we would be a poor recommendation and an expensive one.

What follows is about everything else.

Choose Deepgram if

• You need speech-to-text and nothing beyond it — they are several times cheaper per minute than us, and that gap does not close at volume
• You are processing very large batch volumes and want a specialist
• Vendor scale and a long operating history are decisive for you
• Your audio is English or another language where their models are strongest

Choose Omnia if

• You need EU data residency by default, not as a regional configuration
• You want the option to run the whole thing on your own infrastructure
• Your callers speak Finnish, Swedish, Norwegian or Danish
• You want one per-minute rate rather than one that moves with model choice

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Where the two actually differ

Both of us will answer a phone and hold a conversation. The differences that survive a procurement review are narrower than a feature list suggests, and all three are structural rather than incremental.

Residency. EU data residency is our default rather than a region you select. For a European buyer that is usually the shortest conversation on this page.

Self-hosting. Ours runs in production on customer infrastructure today, with the same API as our cloud, so moving does not change integration code.

Nordic depth. Finnish, Swedish, Norwegian and Danish are a core focus rather than entries in a supported-languages list.

Architecture

Omnia connects audio directly to the reasoning layer. There is no speech-to-text stage in the middle, which is where the round-trip time goes and where nuance gets dropped. One design decision, two consequences worth having:

Speed. About 250 milliseconds to first response, because processing starts while the caller is still speaking rather than after a transcript is finished.

Robustness. Accents, proper nouns, and callers who switch language mid-sentence survive, because there is no transcription step to flatten them first. That is what 50+ languages means in practice — not a list on a pricing page, but comprehension over a narrowband phone line, at conversational pace.

Agents that act

An agent that talks well and cannot do anything is an answering machine. Ours call your systems mid-conversation, with credentials encrypted at rest and never returned by the API, static parameters the model never sees, read-only lookups run eagerly so they do not become dead air, and a deferred pattern for work that cannot finish inside a timeout without stranding the caller.

Language depth

Both support many languages. The depth differs by which ones.

Omnia is built with real depth in the Nordic languages — Finnish, Swedish, Norwegian, Danish — alongside English and Spanish. If your audio is Finnish, that is worth testing directly rather than comparing language counts, which measure coverage rather than quality.

Cost

One rate, billed per minute. Telephony is your own, unresold.

The first two rates are self-serve: sign up and start. The volume rate is negotiated rather than unlocked automatically, so talk to us if you are running at scale.

Where it runs

Cloud, dedicated GPU capacity, or entirely your own infrastructure — the same API across all three, so moving does not change your integration code. EU data residency is the default rather than a configuration.

Self-hosting is also an exit route, not only a deployment preference. If we were acquired, pivoted, or sunset a service, a self-hosted customer keeps running. You cannot be orphaned by us.

Side by side

The honest summary

For transcription alone, at any scale, Deepgram is cheaper and we have said so twice on this page because it is true.

Where we would argue for ourselves is narrower and more specific: European audio that has to stay in Europe, a deployment that may need to move onto your own hardware, Nordic languages spoken at conversational pace, and one rate you can forecast before launch. If none of those are live concerns for you, their maturity is a perfectly good reason to choose them.