GetProfile vs Presto Voice

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-10-30
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GetProfile or Presto Voice: which should you choose?

DimensionGetProfilePresto Voice
PricingFreeCustom pricing
Best forDevelopers building AI agents that need persistent per-user memory, Teams that want structured user profiling for personalization on their own infrastructureMulti-location QSR chains rolling drive-thru voice AI across dozens of stores, Franchise networks that want one vendor accountable for the speaker post
Standout featuresDrop-in proxy for the OpenAI API · GetProfile SDK plus OpenAI and AI-SDK proxy compatibility · Structured user profile extraction from interactionsAutomated drive-thru order taking via voice AI at the speaker post · Continuous upselling of add-ons and specials to raise average order value · Spectrum of Voice AI approaches rather than a single model
Viability score66/10075/100
APIYesYes

GetProfile is the stronger pick for developers building ai agents that need persistent per-user memory; Presto Voice fits better for multi-location qsr chains rolling drive-thru voice ai across dozens of stores.

Built from live tool data, last verified 2026-10-30.

GetProfile
GetProfile

GetProfile gives your AI agent persistent user memory through an OpenAI-compatible proxy with structured user profiles.

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Presto Voice
Presto Voice

Presto Voice AI automates drive-thru order taking and upselling at the speaker post

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Pricing
Free
Contact Sales
Plans
Open SourceFree
—
Popularity
2 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
API
API
Categories
🧠 Agent Memory & Runtimes📦 LLM App Frameworks & SDKs
🍽️ Restaurant & Hospitality☎️ Voice AI Agents & Phone Automation
Features
Drop-in proxy for the OpenAI API
GetProfile SDK plus OpenAI and AI-SDK proxy compatibility
Structured user profile extraction from interactions
Natural-language profile summaries
Typed user traits with confidence scores
Relevant memories with importance levels
Customizable trait extraction schema
Configurable prompt injection format
Automatic system message injection per request
Background profile and memory updates after responses
Self-hosted deployment via Docker
PostgreSQL persistence for profiles
Lightweight Hono proxy with minimal dependencies
Docker Compose scaling
Apache 2.0 open-source license
Automated drive-thru order taking via voice AI at the speaker post
Continuous upselling of add-ons and specials to raise average order value
Spectrum of Voice AI approaches rather than a single model
Up to 95% non-intervention rate on drive-thru orders (vendor-published)
Up to 88% upsell offer rate (vendor-published)
Up to 6% monthly incremental revenue increase (vendor-published)
24/7 drive-thru ordering availability
POS and headset provider integration handled by Presto
Install at scale without disrupting live drive-thru operations
Toast POS integration via the Toast Partner Ecosystem (Sept. 21, 2026)
Managed deployment with ongoing vendor support
ROI reporting on non-intervention, upsell offer, and revenue lift
Nationwide Voice AI rollout at Wienerschnitzel, Taco John's, and Dairy Queen
15+ years of restaurant drive-thru automation since 2008
$10M raise (Sept. 28, 2026) funding Voice AI deployments and product
Integrations
OpenAI
PostgreSQL
Docker
Toast

What do real users say about GetProfile vs Presto Voice?

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

GetProfile

Discussed by users across 2 sources · 65% positive (averaged across 2 sources)

Hacker News, Product Hunt

What users praise

  • • Structured typed traits with confidence scores instead of raw blobs
  • • Self-hosted, open-source, Apache 2.0—full data control
  • • Drop-in OpenAI-compatible proxy, no code rewrite needed
  • • PostgreSQL storage integrates with existing stack

What frustrates them

  • • Cloud version not available yet, so no managed option
  • • No public benchmarks on accuracy, latency, or scale
  • • PII handling and export unanswered in community discussions
  • • Nuanced language (sarcasm) extraction untested and uncertain

Researched Aug 30, 2026

Presto Voice

25 mentions across 2 sources · 46% positive — mixed (weighted across 2 sources)

App Store, Lemmy

What users praise

  • • Turnkey installation handles POS and headset provider work so the lane stays live
  • • Continuous upselling at the speaker targets average order value on every transaction
  • • 15+ years of drive-thru automation since 2008 gives real operational experience
  • • Named rollouts at Wienerschnitzel, Taco John's, and Dairy Queen show chain-scale credibility

What frustrates them

  • • No independent operator reviews exist in the scraped data to verify vendor claims
  • • Up to 95% non-intervention and 88% upsell are vendor-published, not audited results
  • • Pricing is contact-only, making budget comparison difficult for buyers
  • • Product is a managed partner play, not a voice stack operators can tune

Researched Oct 22, 2026

Frequently Asked Questions

Which is better, GetProfile or Presto Voice?

The best choice between GetProfile and Presto Voice depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between GetProfile and Presto Voice?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of GetProfile or Presto Voice?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

What else are GetProfile and Presto Voice compared with?

Where can you read more about GetProfile and Presto Voice?

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Analysis generated by our model pipeline from live data: