EmpirioLabs AI vs Presto Voice

Presto Voice does one job narrowly: answer the speaker post, take the order, upsell add-ons and specials, keep the lane live 24/7, and report the lift. Everything else — install at scale, POS and headset provider integration, ongoing support — is Presto's responsibility, and the Toast integration announced Sept. 21, 2026 gives Toast restaurant groups the shortest documented path to order-data flow. The vendor publishes its own benchmarks (up to 95% non-intervention, up to 88% upsell offer rate, up to 6% monthly incremental revenue), and its Spectrum of Voice AI approaches means the model choice is Presto's, not yours. There is nothing to configure.

EmpirioLabs is the opposite shape: a toolkit. Text runs across a 42-model standard pool and 61-model premium pool; image generation and editing use Qwen Image 2.1 and MOSS-Image Turbo with up to ten reference images and transparent PNG; video spans 480p to 4K tiers; audio covers Stable Audio 3 Medium music, Qwen Audio 3.1 TTS Next with up to three cloned voices, and live transcription over WebSocket. On Oct. 5, 2026 it introduced Aplomb 1, its first in-house model, returning calibrated probabilities over yes/no, choice, score and tool questions with an abstain, exposed via a /v1/decisions API, and the Oct. 23 OCR API (POST /v1/ocr) turns PDFs and images into per-page Markdown. None of this takes a drive-thru order.

Presto Voice prices as a managed deployment: pricing_type is contact, so the number depends on store count, lane volume and the integration work Presto absorbs. The costs to model in a pilot are per-store install, the POS/headset integration path (Toast is documented as of Sept. 21, 2026), and whatever the vendor charges for ongoing support and ROI reporting. The value case rests on the published uplift figures — up to 6% monthly incremental revenue and up to 88% upsell offer rates — which are vendor numbers, so your pilot baseline is the only figure you should commit budget against. The Sept. 28, 2026 $10M raise is a signal that deployments are being funded, not a pricing disclosure.

EmpirioLabs is metered and self-serve. A freemium tier precedes paid plans that unlock the 61-model premium pool; credits are consumed per token, per image, per video second, per audio second, per 3D asset, per music track and per search. That granularity means spend scales with usage, and a few line items decide your bill: 4K video draws the allowance at 12x the 480p rate, and OCR bills per page up to 1,000 pages per request. There is no minimum seat or contract visible in the data, so cost control comes from choosing tiers and models per endpoint rather than negotiating a term.