Sie vs Presto Voice

The overlap is cosmetic — both use models, but the jobs have nothing in common. Presto Voice ships as a finished workflow installed at the speaker post: automated order taking, continuous upselling of add-ons and specials, 24/7 availability, and managed installation at scale without disrupting live lanes. Presto handles POS and headset integration as the integrator, and as of Sept 21, 2026, Presto Voice is available through the Toast Partner Ecosystem. It deliberately runs a spectrum of Voice AI approaches rather than one model, tuned for multi-brand menus and speech patterns, and reports non-intervention, upsell, and revenue lift. There is no documented API access and no model configuration — it is a service, not a platform.

Sie is the opposite shape. It is a Kubernetes inference cluster for the small models behind agents: dense/sparse/multi-vector embeddings, cross-encoder reranking (e.g. bge-reranker-v2-m3), entity/relation/schema-valid JSON extraction, OCR of PDFs and Office files into markdown, self-hosted open LLM generation with streaming, and safety classifiers like granite-guardian-2b. Multi-model GPU sharing via LRU eviction, a cluster-wide queue with pool-then-batch packing, hot-reloadable model profiles, zero-to-N autoscaling with Helm/Terraform/KEDA, and per-request LoRA adapters are the actual selling points. It speaks SGLang, vLLM, TensorRT-LLM, TEI, llm-d, PyTorch, and Candle, and plugs into LangGraph, CrewAI, Chroma, Qdrant, Weaviate, LlamaIndex, and DSPy. Presto optimizes a restaurant lane; Sie optimizes GPU utilization.

Presto Voice is contact-sales enterprise pricing with no published self-serve tier, and the product's own positioning says buyers who insist on published pricing before a call are not a fit. Expect a managed-deployment contract sold to multi-location brands and franchise networks, with ROI framed through non-intervention rate, upsell offer rate, and monthly incremental revenue. The cost-benefit is measured in drive-thru labor and average check, not compute.

Sie is freemium built on an Apache 2.0 stack with SOC2 Type 2 certification and 138 supported models, so the software itself is free to self-host — your cost is the Kubernetes cluster and GPUs you already or newly pay for. Superlinked's own comparisons frame the trade: bursty, low-volume workloads stay cheaper on hosted per-token pricing, while sustained inference favors self-hosting, and Managed SIE is still a waitlist rather than a purchasable tier. So Presto is a contract against labor savings; Sie is an infrastructure line item against per-token API bills. There is no price comparison to make because there is no shared unit of purchase.