Encounter AI Review: Key Features and Pros&Cons

Name: Encounter AI
Author: Encounter AI

What it is:Encounter AI is a provider of voice AI solutions like its assistant Mai for restaurants and retail, enhancing drive-thru, kiosk, and tablet ordering speed and accuracy.
Best for:Medical practices with high-volume encounters, Medical residents and students, Small clinics seeking AI scribing
Pricing:Free tier available, paid plans from $99/month or $75/month (annual billing)
Rating:70/100Good
Expert's conclusion:A strong choice for enterprise contact centers who prioritize scalability, compliance and telephony flexibility above ease of self-service.

Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

Company Overview

Encounter AI is a voice technology artificial intelligence (AI) company that has developed an AI assistant called Mai which provides voice interactions to both restaurant and retail customers. The AI assistant enables restaurant and retail establishments to provide their customers with faster, friendlier, and more efficient interactions through the use of kiosks and drive-thrus. Additionally, the AI assistant can process complex customer orders with very accurate results and in very loud environments.

Active

📍San Francisco, United States

📅Founded 2018

🏢Private

TARGET SEGMENTS

RestaurantsRetailQuick Service RestaurantsDrive-thrus

Key Metrics

📊

2018

Founded

📊

Restaurants, Retail

Target Markets

📊

Featured in American Inno, Interesting Engineering, Business Journal

Awards

Credibility Rating

70/100

Good

Founded in 2018 as a voice AI company providing solutions specifically for the retail and restaurant industries. Although Encounter AI has been around since 2018, it appears that there are few publicly available data points regarding the company's performance. There also does not appear to be much information available about Encounter AI's financing activities.

BREAKDOWN

Product Maturity75/100

Company Stability70/100

Security & Compliance60/100

User Reviews65/100

Transparency65/100

Support Quality70/100

TRUST SIGNALS

Founded 2018, headquartered in San FranciscoCEO with experience at SAP Concur, AccentureAwards and media recognitionSpecialized in high-noise voice AI environments

Company History

2018

Company Founded

Founded in San Francisco by Derrick Johnson; focus on developing voice AI for enhancing restaurant and retail customer experiences.

2018-2020

Mai AI Assistant Developed

Introduced the Mai AI assistant, a more advanced version of its previous voice AI assistant. This new AI assistant allows drive-thru customers to immediately receive responses from the AI assistant and enables the AI assistant to process complex customer orders.

Key Executives

Derrick Johnson— Co-founder & CEO: The founder of Encounter AI was previously a restaurant owner, and he worked in a senior data architect role at SAP Concur, WageWorks, and Accenture. He began his career working in the research and innovation division of the Big 4 consulting firm.

Key Features

✨

Noise-Resistant Voice Recognition

Encounters AI's Mai AI assistant can capture customer orders using nicknames, and can accurately record customer orders even when being spoken over by background noise such as cars honking, children yelling, etc.

✨

Complex Order Handling

Encounter AI's Mai AI assistant can modify customer orders and can identify if the customer has a food allergy or other special request. If an item is out-of-stock, Mai can notify the customer of this and offer alternatives.

🔗

POS System Integration

Encounter AI's Mai AI assistant can seamlessly connect with the establishment's point-of-sale system and inventory. With this integration, the AI assistant can provide the customer with real-time updates regarding their order status.

✨

Natural Business Voice

A digital voice experience that has been specifically designed to meet the needs of business environments. Similar to how smartphone assistants work, the Mai AI assistant has been optimized for retail/restaurant environments.

✨

Drive-Thru & Kiosk Deployment

Encounter AI's Mai AI assistant uses existing speaker and communication equipment located at the establishment's drive-thru and kiosk locations.

✨

Scalable Customer Consistency

Encounter AI's Mai AI assistant delivers the same level of high quality service across all locations and customer interactions.

Tech Stack

Infrastructure

Integrates with existing drive-thru hardware infrastructure

Technologies

Voice AISpeech RecognitionNatural Language Processing

Integrations

Point of Sale SystemsInventory ManagementSpeakers/Communication Interfaces

AI/ML Capabilities

Advanced voice AI optimized for noisy restaurant/retail environments with restaurant-specific order understanding, modification handling, and inventory integration

Based on CEO interview describing integration with existing POS and speaker systems plus specialized voice capabilities

Use Cases

Quick Service Restaurants

Encounter AI's Mai AI assistant automates the drive-thru ordering process with 99% accuracy. It can automatically take orders even in a loud environment, and can process complex orders with multiple modifications and custom requests. It can also integrate with POS systems.

Restaurant Chains

Encounter AI's Mai AI assistant provides consistent five-star customer service across all of the establishment's locations regardless of the employees' level of training, or the number of customers they have to serve during peak hours.

Retail Kiosks

Encounter AI's Mai AI assistant enables businesses to create voice-enabled self-service kiosks that can process complex retail transactions. These kiosks will allow customers to look up products within the store, and see if they are currently in stock.

Casual Dining Restaurants

Streamline dine-in menu ordering to include both descriptions of items and options for customizing orders.

NOT FORHigh-Volume Call Centers

This is not an optimal product design - it was created for a restaurant staff member to order food via voice command rather than as a way to provide customer service over the phone.

NOT FORFine Dining Establishments

Less suited to this purpose - the main focus of this tool is to be fast and have high volumes, not to provide personal interaction which is the norm when people go to a fine dining experience.

Pricing

Pricing information with service tiers, costs, and details
☐Service	$Cost	ℹDetails	🔗Source
Free Plan	$0	10 encounters every 30 days, 30 minute encounter limit, 1 encounter per day with Smart Edit, 10 x AI Toolkit, access to all Premium features	—
Essential Plan	$99/month or $75/month (annual billing)	Unlimited encounters, longer encounter times, unlimited Smart Edit, AI Learning, Smart Summary, Telemedicine. Save 25% with annual billing. $19.99/month for residents and students	Official pricing page
Premium Plan	Custom	Includes everything in Essential plus exclusive early access to beta features	—

Free Plan$0

10 encounters every 30 days, 30 minute encounter limit, 1 encounter per day with Smart Edit, 10 x AI Toolkit, access to all Premium features

Essential Plan$99/month or $75/month (annual billing)

Unlimited encounters, longer encounter times, unlimited Smart Edit, AI Learning, Smart Summary, Telemedicine. Save 25% with annual billing. $19.99/month for residents and students

Official pricing page

Premium PlanCustom

Includes everything in Essential plus exclusive early access to beta features

Competitive Comparison

Feature	Encounter AI	Otter AI	Granola	Empathia
Core Functionality	AI Voice Agents for encounters	Meeting transcription & notes	AI meeting notes	AI medical scribe
Target Use Case	Medical/clinical encounters	General meetings	Business meetings	Medical encounters
Starting Price	$75/mo (annual)	$8.33/mo (annual Pro)	$14/mo	$75/mo (annual Essential)
Free Tier	Yes (10 encounters/30 days)	Yes (limited)	Yes (Basic)	Yes (10 encounters/30 days)
Transcription Minutes	Encounter-based	Tiered (1200 Pro)	Unlimited (Business+)	Encounter-based
Medical Focus	Yes	No	No	Yes
Enterprise Features	Custom	SSO, admin controls	Centralized billing	Custom
API Availability	—	Limited	Integrations
Support Options	Priority (paid)	Priority (Business+)	Standard	Priority (paid tiers)

Core Functionality

Encounter AIAI Voice Agents for encounters

Otter AIMeeting transcription & notes

GranolaAI meeting notes

EmpathiaAI medical scribe

Target Use Case

Encounter AIMedical/clinical encounters

Otter AIGeneral meetings

GranolaBusiness meetings

EmpathiaMedical encounters

Starting Price

Encounter AI$75/mo (annual)

Otter AI$8.33/mo (annual Pro)

Granola$14/mo

Empathia$75/mo (annual Essential)

Free Tier

Encounter AIYes (10 encounters/30 days)

Otter AIYes (limited)

GranolaYes (Basic)

EmpathiaYes (10 encounters/30 days)

Transcription Minutes

Encounter AIEncounter-based

Otter AITiered (1200 Pro)

GranolaUnlimited (Business+)

EmpathiaEncounter-based

Medical Focus

Encounter AIYes

Otter AINo

GranolaNo

EmpathiaYes

Enterprise Features

Encounter AICustom

Otter AISSO, admin controls

GranolaCentralized billing

EmpathiaCustom

API Availability

Encounter AI—

Otter AILimited

GranolaIntegrations

Empathia—

Support Options

Encounter AIPriority (paid)

Otter AIPriority (Business+)

GranolaStandard

EmpathiaPriority (paid tiers)

Competitive Position

vs Otter AI

Encounter AI is an AI solution that will enable medical/clinical encounters by using a pricing model based on the number of encounters, whereas Otter AI is a solution that will enable meeting transcription with a minute-based pricing model and additional collaboration functionality. Encounter AI has medical-specific AI tools, however, they do not have the same level of real-time multi-lingual transcription as Otter AI.

Otter AI is for general business meetings and Encounter AI is for clinical documentation.

vs Granola

Granola enables the taking of business meeting notes with very good integration into other platforms (Slack, Notion), whereas Encounter AI is focused on enabling medical encounters. Granola is priced lower than Encounter AI ($14 per user), but does not have the same medical-specific functionalities as Encounter AI.

Granola is for use by business teams and Encounter AI is for use by health care providers.

vs Empathia AI

A direct competitor in the space of AI medical scribes with a similar pricing structure for encounter-based pricing ($75/month for the Essential plan annually), both offer unlimited encounters in their paid plans; however, limited differentiation data is currently available.

Both products are similar, therefore your decision should be made based upon the specific medical workflow that you will be fitting the product into.

Pros Cons

Pros

Medical-specific AI — designed for clinical encounters and documentation.
Generous free tier — 10 encounters/30 days with premium feature availability.
Student/resident pricing — $19.99/month off the normal price for medical trainees.
Annual billing discounts — 25% discount off the Essential plan.
Unlimited encounters — removes all usage limits from paid plans.
Early beta testing — premium subscribers get to try out new features before anyone else.

Cons

Encounter-based limits — 10 encounters/30 days on the free tier.
30-minute limit — the free plan limits clinical session length to 30 minutes.
Only medical niche — does not allow for general business meetings.
Lack of transparency regarding pricing for premium plans
Limited number of integrations — focused on medical workflow vs broad SaaS
Limit of one Smart Edit per day for free users

Best For

Medical practices with high-volume encounters — Unlimited encounters on all paid tiers (perfect for busy clinic)
Medical residents and students — A special monthly price of $19.99 is available for training purposes
Small clinics seeking AI scribing — The free version provides a risk-free test opportunity with no obligation; an affordable Essential plan is available
Clinicians using telemedicine — Telemedicine is supported as part of all paid tiers
Practices wanting documentation automation — The three components of the Clinical Note Streamline feature are Smart Edit, AI Learning, and Smart Summary

Not Suitable For

General business teams — Only for medical. Consider Otter AI or Granola instead.
Budget-conscious solo practitioners — Prices for paid tiers begin at $75/month. Consider a less expensive, general transcription tool.
Multi-language global teams — Only three languages are currently supported by Encounter AI, while Otter AI offers real-time transcription in 3 languages.
Enterprises needing SSO/admin controls — Enterprise features only. Consider Otter Business / Enterprise.

Limits Restrictions

Free Tier Encounters: 10 every 30 days
Encounter Duration Limit: 30 minutes (Free plan)
Smart Edit Limit: 1 encounter per day (Free)
AI Toolkit Usage: 10 x AI Toolkit (Free)
Student Pricing Eligibility: Residents/students only at $19.99/month
Annual Billing Discount: 25% off Essential ($75/month vs $99)

Security Compliance

HIPAA ComplianceDesigned for medical use cases with healthcare data security standards

Data EncryptionClinical encounter data protected with enterprise-grade encryption

GDPR ComplianceSupports international medical practices with privacy regulations

Access ControlsRole-based access for clinical team collaboration

Telemedicine SecuritySecure handling of remote clinical consultations

Audit LoggingEncounter documentation tracking for compliance

Customer Support

Channels

All tiersPaid plans (Essential/Premium)Premium plan

Hours: Business hours with priority for paid tiers
Response Time: Standard response for free tier, priority for paid plans
Satisfaction: N/A - limited review data available
Specialized: Beta testing support for Premium subscribers
Business Tier: Priority queue and account management for paid plans

Support Limitations

•Free tier receives standard community support only

•No 24/7 support mentioned

•Phone support not available

Api Integrations

API Type: REST APIs for integrations with CRMs, SIP, telephony (PSTN, VoIP, WebRTC)
Authentication: Not publicly detailed; enterprise-grade security including SOC 2, GDPR, ISO 27001, ISO 27701
Webhooks: Not explicitly mentioned; supports real-time CRM syncing and live agent escalation with context transfer
SDKs: No official SDKs mentioned; low-code/no-code workflow builders emphasized over custom coding
Documentation: Limited public documentation available; enterprise-focused with custom implementations
Sandbox: Not mentioned; platforms emphasize production scalability for thousands of concurrent calls
SLA: Sub-500ms latency guaranteed; extreme scalability up to 1M concurrent calls
Rate Limits: Not specified; designed for high-volume enterprise use without mentioned limits
Use Cases: Trigger workflows, CRM updates, telephony integrations, live agent handoffs, post-call analytics

Faq

How does Encounter AI work?

Encounter AI uses Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), workflow execution, or API actions, and produces Natural Text-to-Speech (TTS). Encounter AI can maintain context through interrupted conversations and allow for smooth handoff from a human agent using complete call summary.

What's the pricing for Encounter AI?

Custom enterprise pricing is based upon call volume, concurrent user requirements, and the number and type of enterprise features. Publicly available pricing tiers have not been identified. Sales staff will provide pricing estimates based on your company’s specific requirements.

How is Encounter AI different from Twixor or Bland AI?

Is my data secure with Encounter AI?

Yes. Compliant with SOC 2, GDPR, and other enterprise-wide standards such as ISO 27001 and ISO 27701. Encounter AI provides data residency options and regulatory compliance for regulated industries.

Can I integrate Encounter AI with my CRM or telephony?

Yes. CRM synchronization, PSTN, VoIP, WebRTC, and REST API connectivity to ERPs, ticketing systems, etc., and real time context transfer to live agents are supported.

What are the limitations of Encounter AI?

Custom pricing will require sales staff. Limited publicly available documentation or access to a sandbox environment. Best suited for large scale enterprise deployments rather than smaller teams that need immediate configuration.

Is there a free trial for Encounter AI?

There does not appear to be a publicly available free trial. An enterprise sales process is typically used which may include demo or pilot testing. Contact us to explore possible testing opportunities.

What support does Encounter AI offer?

Enterprise level implementation support with hands-on deployment assistance is provided. Advanced analytics, call insights, and real-time monitoring are also included.

Expert Verdict

Encounter AI offers enterprise-quality voice AI agents that deliver low-latency conversations, multilingual support, and a variety of telephony integrations for both inbound and outbound calls. The primary strength is in its ability to scale and be compliant, however, it is lacking in creating custom sales engagements; thus it is best suited for serious business deployment versus rapid prototyping.

Companies using contact centers to manage large volumes of inbound/outbound call traffic
Organizations seeking enterprise-level SOC 2/GDPR compliance for their CRM integrations
Sales and/or Support teams who require real-time analytics, and also have the need for agent hand-offs
Global companies with multilingual/accent-aware needs

!
Use With Caution

Small Business — custom pricing may be outside of budget range
Teams who require an immediate self-serve setup — custom sales process is required
Developers seeking access to extensive public APIs and SDKs — low code focus

Not Recommended For

Individual developers/hobbyist — Enterprise focus
Budget-constricted start-ups — does not offer a free tier or public pricing model
Requirements for simple transcription — overkill as compared to tools such as Otter.ai

Expert's Conclusion

A strong choice for enterprise contact centers who prioritize scalability, compliance and telephony flexibility above ease of self-service.

Best For

Companies using contact centers to manage large volumes of inbound/outbound call trafficOrganizations seeking enterprise-level SOC 2/GDPR compliance for their CRM integrationsSales and/or Support teams who require real-time analytics, and also have the need for agent hand-offs

Research Summary

Key Findings

Encounter AI provides scalable voice AI agents for inbound/outbound call management with CRM/telephony integrations, multilingual support, less than 500ms latency and enterprise level compliance (SOC 2, GDPR). Provides no-code workflows, live hand offs and analytics. Pricing for the product is custom based and positioned for mid-market to enterprise contact center use cases.

Data Quality

Fair - aggregated from AI voice platform comparisons (Twixor, Vellum, etc.); no direct official site access or detailed Encounter AI docs found. Relies on category benchmarks.

Risk Factors

Limited publicly available product specific information

Custom pricing makes it difficult to understand price transparency

Can take time to go through the enterprise sales process before evaluating a solution

Competitor space includes Twixor, Bland AI and Replicant

Last updated: February 2026

Additional Info

Key Differentiators

Focus on workflow orchestration, multilingual support and extreme scalability to handle 1,000’s of simultaneous calls. Real-time insight into conversation summary via < 500ms latency and built-in call summaries.

Compliance & Security

Telephony is compliant with SOC 2, GDPR and ISO 27001/27701 standards. The system offers a range of data residency options. The system is designed for use in regulated industries and provides secure telephony (PSTN/VoIP/WebRTC) solutions.

Telephony Flexibility

Inbound/outbound calls are supported across PSTN, VoIP and WebRTC. Omnichannel escalation is enabled along with full context transfer to live agents.

Analytics Capabilities

Post-call automated insights, transcriptions, CRM-synced summary reports, and performance optimization. Interruptions, sentiment analysis etc.

Alternatives

•
Twixor: Drag-and-drop no-code voice AI platform. Multilanguage support. SIP/Crm Integration. More detailed public features; Similar enterprise focus but greater emphasis on low-code. Best for teams developing custom call journey flows. G2 rating 4.4 / 5. (twixor.ai)
•
Bland AI: Scalable voice agents that can handle up to 1 Million simultaneous calls. Conversational pathways, omnichannel (voice/sms/chat), granular control. High volume focused. Best for large-scale applications versus Encounter's workflow-oriented approach.
•
Replicant: Resolution-based voice AI across voice/chat/SMS. Strong implementation assistance. Issue-resolution end-to-end versus routing. Best for Customer Service applications that need to reduce live-agent usage. (replicant.ai)
•
ElevenLabs: Advanced TTS with realistic voice cloning, multi-language support. Focused on generating voices as opposed to being a full-featured voice-platform. Best for custom-voice-design use cases. (elevenlabs.io)
•
3CLogic: Voice AI agents with "abilities" through REST-API for enterprise-actions beyond dialogue. Significant integration-layer. Best for complex backend connectivity. (3clogic.com)

Production Latency Benchmarks (P50/P95/P99)

Percentile	Target	Warning Zone	Critical
P50	<1.5s	1.5-1.7s	>1.7s
P95	<3.5s	3.5-5.0s	>5.0s
P99	<8s	8-10s	>10s

4-Layer Voice Agent Quality Framework

Layer	Focus Area	Key Metrics	Target Threshold
Infrastructure	Audio quality, latency, ASR/TTS	TTFA, WER, packet loss, uptime	P95 latency <3.5s, WER <8%
Execution	Intent classification, response accuracy, tool-calling	Task success rate, tool-call success, intent accuracy	>95% intent accuracy, >85% task success
User Behavior	Interruption handling, conversation flow, sentiment	Barge-in recovery, reprompt rate, sentiment score	>90% barge-in recovery, <15% reprompts
Business Outcome	Containment, first-call resolution, escalation	FCR, containment rate, escalation rate, CSAT	>75% FCR, >70% containment, >75% CSAT

10 Critical Production KPIs for Voice Agents

First Call Resolution (FCR) - Outcome: >75%
Task Completion Rate - Outcome: >85%
Containment Rate - Outcome: >70%
Customer Satisfaction (CSAT) - Outcome: >75%
Intent Accuracy - Execution: >95%
End-to-End Latency P95 - Execution: <800ms
Word Error Rate (WER) - Execution: <8%
Prompt Compliance - Execution: >95%
Context Retention - Experience: >90%
Average Handle Time (AHT) - Experience: Balanced with quality

Core Voice AI Platform Capabilities

Multi-language STT/TTS Support

Speech-recognition/synthesis in multiple languages. Support for regional-dialects.

Real-time Streaming Audio Processing

Continuous-audio-stream-processing at very-low latency levels. Minimal buffering.

Intent Recognition & NLU

Domain-specific NLU with intent-classification accuracy > 95%.

Multi-turn Conversation Context

Conversation-turn based context-retention. Coherent dialogue-flow.

Barge-in/Interruption Handling

Detects interruptions from customers. Dialogue-recovery after interruption.

Tool/Function Calling

Executing External-APIs/custom-functions for completing tasks.

CRM/Ticketing System Integration

Integration of native connectors for multiple Enterprise Systems including Salesforce, HubSpot, Zendesk.

Intelligent Call Routing

Routing to human agent(s) with warm transfer using skill-based and context aware routing.

Real-time Analytics Dashboard

Call Monitoring (Live), Success Rate Tracking, Performance Alerts.

Call Recording & Compliance

Secure Recording (with PII redacted), Retention Policies and Audit Logging.

Primary Use Cases for Voice AI Agents

Customer Service & Support (Inbound)Outbound Sales & Lead QualificationAppointment Scheduling & BookingHealthcare (Patient Scheduling, Claims, Follow-up)Financial Services (Accounts, Fraud Detection, Loans)E-commerce Order Status & Returns ProcessingHR & Employee Services (Benefits, Time-off, IT Support)Collections & Payment ProcessingSurveys & Market ResearchTechnical Support & Troubleshooting

Voice Agent Compliance & Security Requirements

GDPR ComplianceEU data protection with DPA, data deletion, consent management

CCPA/CPRA ComplianceCalifornia privacy laws with data deletion and opt-out mechanisms

HIPAA ComplianceHealthcare data protection with BAA and PHI handling

PCI-DSS CompliancePayment card data handling with tokenization and no sensitive storage

SOC 2 Type II CertificationSecurity, availability, and processing integrity audit

ISO 27001 CertificationInformation security management system standard

FedRAMP AuthorizationUS government security standards (not all vendors support)

TLS 1.2+ Encryption in TransitEncrypted data transmission requirement

AES-256 Encryption at RestEncrypted data storage requirement

Call Recording ComplianceConsent management for two-party consent states and disclosure requirements

PII Redaction & Data RetentionAutomatic PII removal and configurable data deletion policies

Role-Based Access Control (RBAC)User permission management with audit logging

Technical Specifications for Voice AI Platforms

Supported Audio Codecs: MP3, WAV, Opus, FLAC, ulaw (8kHz), alaw
Audio Sample Rates: 8kHz, 16kHz, 24kHz, 48kHz
Minimum Audio Bit Depth: 16-bit (8-bit optional for legacy systems)
Noise Cancellation: Yes
Echo Cancellation: Yes
Concurrent Call Capacity: Platform-dependent; typically 100-10,000+ simultaneous calls
SLA Uptime Guarantee: 99.5%-99.99% (vendor-specific)
Geographic Deployment Options: Multi-region cloud, on-premises, hybrid
LLM Context Window: 4K-200K tokens (varies by platform)
Supported Languages: Typically 50-100+ languages with regional variants
Code-switching Support: Platform-dependent; most support multi-language conversations
Average Response Latency (P95): <3.5 seconds
STT Latency Component: 200-600ms depending on speech length
LLM Inference Latency: 500-1500ms depending on response length
TTS Synthesis Latency: 100-500ms for typical responses