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HIVE is a speech-recognition engine for European dialects and accents. A swarm of small specialist models hears what one giant model misses, and tells you how sure it is.
One customer request, spoken four ways. Pick how the caller speaks and see how much of it today's leading speech engines actually write down.
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The sentence is an illustration in English. The share of missing words matches our March 2026 evaluation: 255 Austrian dialect clips from Vienna, Tyrol and Vorarlberg, plus 120 Standard German controls.
Word error climbs from 5.6% for callers aged 20–40 to 42.5% for those over 80.
Narrow-band audio, codecs, office noise and crosstalk push dialect error from 52% to 78%.
That is how accurately today's engines capture IBANs and account numbers from Viennese callers. An agent retypes every field.
When an engine says it is 0.95 sure about dialect speech, it is right about 0.76 of the time.
HIVE, the Hierarchical Intelligent Voice Ensemble, keeps a roster of small experts, each fluent in one way of speaking. Follow one call through its four parts. Drag the scene to look around.
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Target response per audio chunk in the cloud, under 100 ms on-device. Words arrive while the caller is still speaking.
The dispatcher warms up the second expert before the switch, so nothing is lost at the boundary.
The whole engine, with no GPU. Only the two or three experts a call needs are ever active.
Route the caller to the right team, and the right experts, before an agent picks up.
Four experts first. Every new dialect or language is one more cell, with no change to the others.
HIVE is a European speech-to-text model, made for European speech. It is small enough to run inside your own walls, so call audio never has to leave them.
For dialects such as Viennese, Tyrolean and Vorarlbergerisch.
Up to 96 million parameters in use per call, against 1.5 billion in a large general-purpose model.
Hosted on European servers, or installed on your own.
Voice recordings are personal data. HIVE processes them in the EU, or on your own hardware.
Transparency and human oversight are built in: every result carries a confidence score, and uncertain ones go to a person.
For banks and insurers. An engine on your own premises is one less critical outside dependency to audit and plan an exit for.
For essential sectors such as banking and telecoms. Supply-chain security is simpler when the engine runs inside your perimeter.
Hosted on European servers, with per-minute pricing and the speech endpoints you already use.
An annual contract with maintenance and support included.
Keeps call audio inside your walls, on ordinary hardware with no GPU.
HIVE is in development. The figures are end-of-project targets, and the compliance points are design requirements, not certifications. Formal assessments will be done with pilot partners.
HIVE comes from the team behind FawksAI, the agent platform for voice, WhatsApp and chat. A customer asked us to add German. Every speech engine we tried failed on Austrian callers. That is where HIVE began.
Inbound and outbound calls that qualify leads, answer questions and book meetings.
Follow-ups, template messages and two-way chat that keep conversations alive between calls.
A website agent trained on your documents that hands over to your team with full context.
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We are looking for banks, insurers and telecoms with dialect-heavy call volumes to shape the first pilots. Bring a sample of your own audio.