NEO vs Presto Voice

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionNEOPresto Voice
PricingFreemiumContact for pricing
Primary UseAutonomous ML engineering agentDrive-thru voice AI automation
Target UserML engineers and researchersQSR chains with drive-thrus
Key Metric34.2% on MLE-bench (top-ranked)95% non-intervention, 6% revenue lift
IntegrationVS Code, Cursor, Claude Code, GitHubPOS, headset, ElevenLabs
NEO
NEO

Autonomous AI engineering agent that runs ML experiments, LLM evals, fine-tuning and prompt optimization from a single task prompt.

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Presto Voice
Presto Voice

Presto Voice is drive-thru voice AI that takes QSR orders and upsells every car at the speaker post.

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Pricing
Freemium
Contact Sales
Plans
$29/mo
$69/mo
$199/mo
Custom
—
Popularity
4 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebPluginDesktop
API
Categories
🛠️ Autonomous Coding Agents🕸️ Agent Frameworks & Orchestration
🍽️ Restaurant & Hospitality☎️ Voice AI Agents & Phone Automation
Features
Autonomous ML engineering from a single natural-language task prompt
Multi-day autonomous runs returning versioned artifacts for review
LLM evaluation and benchmarking across 150+ real-world tasks in 10 categories
Dual-LLM prompt optimization loop with a JSON ledger tracking every iteration
RAG pipeline building, evaluation and optimization
Fine-tuning and training of ML models and LLMs
Agent-swarm framework coordinating specialized agents over an async message bus
GPU sandbox running hundreds of experiments and auto-selecting the best model
Interactive chat to steer NEO's exploration of models and approaches
VS Code extension with inline chat, plan view and file explorer
Cursor extension support
Open VSX extension support
MCP server for driving NEO from Claude Code or Codex
Bring your own LLM (BYOK) to power the agent
Bring your own compute (VPC) with CPU/GPU and no quota limits
Automated drive-thru order taking via voice AI at the speaker post
Continuous upselling of add-ons and specials to raise average order value
Runs a spectrum of Voice AI approaches rather than a single model
Vendor-published 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
24/7 drive-thru ordering availability
Installation at scale without disrupting live drive-thru lanes
POS and headset provider integration handled by Presto
Available through the Toast Partner Ecosystem (Sept. 21, 2026)
Managed deployment with ongoing vendor support
ROI reporting across non-intervention, upsell, and revenue lift
Nationwide rollout experience at Wienerschnitzel, Taco John's, and Dairy Queen
15+ years of restaurant drive-thru automation experience since 2008
$10M raise (Sept. 28, 2026) funding Voice AI deployments
Integrations
VS Code
Cursor
Open VSX
Claude Code
Codex
Toast

What real users say: NEO 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.

NEO

44 mentions across 4 sources · 0% positive — critical (averaged across 4 sources)

Hacker News, GitHub, Lemmy, Tech Press

What users praise

  • • Designed to automate end-to-end ML workflows from a single prompt.
  • • Supports self-correction and multi-step reasoning loops for iteration.
  • • Integrates with VS Code, Cursor, and popular LLMs.
  • • Offers a free trial to test capabilities before committing.

What frustrates them

  • • No real user feedback available to validate advertised features.
  • • Credit-based pricing can lead to unexpected costs if experiments run long.
  • • Limited platform support — only VS Code and Cursor plugins mentioned.
  • • No independent reviews or case studies to back up marketing claims.

Researched Jul 2, 2026

Presto Voice

37 mentions across 3 sources · 32% positive — critical (weighted across 3 sources)

YouTube, App Store, Lemmy

What users praise

  • • Handles POS and headset integration itself, so voice AI goes live in an active lane without pausing service
  • • Built specifically for multi-location QSR franchise groups, not single shops or dine-in concepts
  • • Continuous upselling of add-ons and specials on every transaction targets average-order-value lift
  • • 24/7 drive-thru ordering availability removes the labor constraint of shift coverage at the speaker post

What frustrates them

  • • Almost no independent, on-topic community reviews — the dataset is dominated by unrelated same-name products
  • • Vendor-published KPIs (95% non-intervention, 88% upsell, 6% lift) lack third-party verification
  • • Won't hand over the model to tune, which blocks teams that want to own and iterate on the voice stack
  • • Only Toast is documented as a named POS integration in the available data

Researched Oct 14, 2026

Who should pick which

  • QSR chain owner with multiple drive-thrus
    Pick: Presto Voice

    Presto Voice is built for drive-thru automation with proven upselling and high non-intervention rates. Recent partnership with Dairy Queen confirms its relevance.

  • ML engineer automating model training and evaluation
    Pick: NEO

    NEO autonomously builds, runs, and benchmarks ML experiments. Its MLE-bench top rank and integration with VS Code/Cursor make it ideal for technical users.

  • Franchise network seeking scalable voice AI
    Pick: Presto Voice

    Presto offers easy installation at scale and menu unification across locations, suitable for franchises.

  • Researcher running large-scale LLM benchmarks
    Pick: NEO

    NEO supports LLM evaluation, dual-LLM prompt optimization, and agent swarm coordination, all critical for research.

  • Small independent restaurant with limited budget
    Pick: NEO

    Presto is not for small restaurants due to enterprise pricing; NEO's freemium model is more affordable, though it does not address drive-thru needs.

Frequently Asked Questions

Can Presto Voice be used for phone ordering?

Yes, Presto Voice includes phone ordering automation in addition to drive-thru.

Does NEO support fine-tuning of LLMs?

Yes, NEO supports fine-tuning of LLMs and ML models.

What is the non-intervention rate of Presto Voice?

Presto Voice achieves up to 95% non-intervention rate on orders.

What is NEO's score on MLE-bench?

NEO scored 34.2% on MLE-bench, top-ranked as of August 2025.

Does Presto Voice integrate with ElevenLabs?

Yes, Presto Voice uses a spectrum of voice AI models including ElevenLabs.

What IDEs does NEO integrate with?

NEO integrates with VS Code, Cursor, Claude Code, and OpenVSX.

Can Presto Voice handle multiple restaurant locations?

Yes, it supports multi-location deployment with menu unification.

Is NEO suitable for beginners without ML background?

No, NEO is not for complete beginners; it requires ML engineering knowledge.

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Last reviewed: July 2, 2026