Beside

Name: Beside
Brand: Beside
Rating: 3.2 (1 reviews)

AI Native

Beside is a business phone service that provides a US phone number, an automated AI receptionist for inbound calls and texts, and generates searchable call artifacts (transcripts, summaries, daily recaps) across iOS, Android, macOS, and web.

Est 2023|Valuation $90M|Raised $31.9M|27 Ref Customers

LinkedIn 3K|Website|Web traffic 45K|FTEs 43|HQ richmond

MarketsInteractive Voice Response (IVR)

Published Oct 15, 2026

01Common complaints

- Regulated healthcare use cases - Beside is not HIPAA compliant. For workflows involving protected health information, select a HIPAA-compliant vendor or a human answering service that will sign a Business Associate Agreement (BAA). - If the top requirement is carrier-grade call delivery and absolute reliability - Reviews include reports of calls not ringing and dropped connections. Even if these reports represent a minority of users, they are critical failure modes for businesses that rely on inbound calls for revenue. - If advanced transfer/forwarding, queueing, or contact-center operations are required - At least one reviewer reported lack of forwarding/transfer as a deal-breaker. Larger UCaaS/contact-center vendors typically provide more mature routing capabilities. - If the customer base strongly rejects automated reception - Certain customer segments may respond poorly to automated reception, increasing hang-ups and potential churn. - If enterprise procurement or compliance artifacts are required - If the organization requires publicly documented ISO certifications, detailed security whitepapers, or formal data residency guarantees, Beside’s public documentation (as reviewed here) may be insufficient without a formal vendor security review. - Vendor-acknowledged / help-center implied limitations - The product is not end-to-end encrypted; encryption in transit and at rest is documented, but end-to-end encryption is not provided due to processing needs for transcription/summarization. - The product is not HIPAA compliant. - AI performance depends on the quality of configured knowledge; the vendor provides guidance for optimization and troubleshooting. - User-reported limitations and issues - Reports of call-handling reliability problems (incoming calls not ringing, dropped calls) appear in some reviews and represent high-impact failures for inbound-lead-driven businesses. - Advanced screening and transfer needs may not be met by the current feature set in all cases. - Roadmap / future features - No public roadmap with dates was found in the accessible sources.

Deal disqualifiers: what makes a POOR fit

Workflows that require HIPAA compliance or frequent handling of PHI
Environments where callers consistently reject automated reception and one error is costly
Use cases requiring guaranteed call delivery, complex transfers/queues, or enterprise telephony governance that Beside cannot demonstrate

02Why they buy

- Mobile-first combination of business phone, automated receptionist, and call intelligence - The product bundles a business phone number, automated answering, and generated call artifacts (transcripts, summaries, daily recap) intended to reduce manual note-taking. - Reported conversational quality and voice customization - Some reviewers report the conversational agent sounds natural and can be customized; these are user perceptions rather than independently validated claims. - 24/7 automated answering with structured artifacts - The product is oriented to provide continuous inbound-call coverage and to generate structured call artifacts suitable for intake and follow-up workflows. - Comparative considerations - UCaaS providers such as RingCentral, Nextiva, and Dialpad may provide broader telephony governance, more advanced routing/queues, and enterprise procurement readiness. - Human answering services can provide higher reliability for nuanced conversations and complex exception handling.

03Field reports

Note on review sourcing: Beside does not appear to have widely indexed reviews on major review platforms under the “Beside” brand in accessible pages during this research. Where major review platforms were not accessible or did not show Beside results, this report relies more heavily on App Store reviews (high volume) and Trustpilot (low volume but negative), plus general community discussion about AI receptionists. - App Store (high-volume, predominantly favorable ratings) - Representative positive review summaries - An App Store review described substantial value from the app’s call recording, transcripts, and daily recap features. - An App Store review indicated the product helped manage missed calls and convert them to booked jobs; the reviewer noted the AI was generally effective but not perfect. - Representative negative/critical review summaries - An App Store review described difficulties with forwarding/transfer and reported instability that could not be resolved through troubleshooting. - A Canadian App Store review reported cancelling after incoming calls did not ring, and stated the experience negatively affected the reviewer’s business; this highlights a potentially critical failure mode in call delivery. - Trustpilot (low volume, negative example) - A single Trustpilot review alleged account access failures after signup and an inability to reach human support, describing the experience as a potential onboarding and support failure. Because only a single Trustpilot review was visible in this research, it should not be treated as representative, but it indicates a possible risk area (onboarding/access + support responsiveness) that organizations should test during a trial. - Vendor testimonials/claims (marketing) - The vendor site includes customer quotes and a testimonial that references a claimed time-savings figure for a named customer. The methodology and baseline for that claim were not disclosed and should be validated by prospective buyers. - Community discussions (Reddit, forums) - Community posts indicate awareness of the product and the broader AI receptionist category. A Reddit thread included a user stating they were preparing to test the Beside assistant, which indicates interest but not a substantive endorsement. Community feedback tends to focus on category-wide issues (call hang-ups, off-script failures, latency) rather than product-specific metrics. - Common reasons customers chose Beside (as suggested by reviews) - Coverage for missed calls and 24/7 answering for field-service style businesses - Automatic call recording, transcripts, and daily recaps to reduce manual note-taking - Perceptions in reviews that the conversational agent can be customized and may sound similar to a human in some cases - Common reasons some customers reject/churn (as suggested by reviews) - Reported reliability issues in call handling (calls not ringing, dropped calls, AI not following configured settings) - Missing or insufficient call routing/transfer workflows for more advanced use cases - Support experience concerns and potential onboarding/access failures

Vendor case study example

- Beside published a case study titled: “AI Receptionist for Security Companies: How Beside Helps GAB Security Handle a Substantial Weekly Call Volume and Win Repeat Contracts.” - What is useful - The case study provides a concrete call-volume example and an industry context. - What is missing / methodology gaps - The content is vendor-published marketing material with no independent verification of the reported results. - Baseline metrics (pre-deployment performance), measurement periods, and the proportion of calls handled fully by AI versus routed to humans are not disclosed.

Vendor ROI/whitepaper content

The vendor hosts an ROI-style PDF focused on the cost of missed calls. Such vendor ROI material typically relies on assumptions about call volumes, labor costs, and conversion rates; prospective buyers should request the underlying calculation models and sensitivity analyses.

04Best fit

Company sizes

- Likely best fit - Very small businesses / micro-teams (typical employee counts at the smallest end of the SMB spectrum) - Service SMBs with high inbound call dependency and frequent scenarios where staff cannot answer calls (in the field, after-hours) - Potential fit - Small businesses with multiple staff members and shared lines - Teams with basic routing needs, provided they validate administrative controls, reporting, and reliability during evaluation

Industries and verticals where adoption is strongest (based on vendor targeting and review signals)

Trades/home services (plumbing, HVAC, electricians, contractors)
Real estate and insurance
Small professional services that rely primarily on inbound leads

Roles and personas

Decision makers
- Owner-operator
- Operations manager
- Office manager
End users
- Field technicians
- Sales intake and administrative staff

Pain points addressed

Missed calls that result in lost leads
Inconsistent intake and missed follow-ups
Time spent taking notes and managing administrative call details

Qualification criteria: what makes a GOOD fit

Inbound calls are a major lead source
Many calls occur when the primary team is unavailable
The business can define clear intake questions and booking rules
The business accepts that the automated receptionist will handle a portion of calls and that some callers may still require human escalation

Real customer examples (from reviews/case studies)

A mobile small-engine service business owner reported value from daily recaps and call capture (app store review summary).
An IT services reviewer reported the AI-assisted conversion of missed calls into booked jobs (app store review summary).
A vendor-published case study described a security company handling several hundred calls per week after adopting the service.

05The pitch

What the product does (core value proposition in objective terms)

- Beside is a business phone service that includes an automated AI receptionist and generates call artifacts (transcripts, summaries, daily recap) across iOS, Android, macOS, and web. It provides a US phone number (with forwarding/porting support), handles inbound calls and texts using an AI receptionist, and produces searchable notes and follow-up assistance. - Core “jobs to be done” it targets - Reduce the incidence of missed inbound calls (particularly when staff are on jobs or working in the field) - Capture and standardize caller intent and details for lead intake - Automate light operational tasks (basic appointment booking, routing/transfer rules, and follow-up draft generation)

Target market and market positioning

- Beside targets small and micro businesses and individual/team users that rely on inbound calls: contractors/trades, real estate, insurance brokers, solopreneurs, and small service teams. The offering is mobile-first and focused on operational use cases (addressing missed calls and intake workflows) rather than positioning as an enterprise contact-center suite. - The vendor publishes a customer-count claim indicating a substantial user base across the US; this is a vendor-published figure and was not independently verified in the publicly accessible third-party sources consulted for this research.

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