Curious Thing

Name: Curious Thing
Brand: Curious Thing AI
Rating: 4 (77 reviews)

Voice AI assistants for businesses of all sizes. Leader in inbound and outbound AI call automation solutions.

Est 2018|Valuation $21M|Raised $6M|47 Ref Customers

LinkedIn 6K|Web traffic 7K|FTEs 18|HQ Sydney, New South Wales, AU

MarketsInteractive Voice Response (IVR)

Published Oct 15, 2026

01Common complaints

- If a purchase decision requires publicly documented, independently validated security and compliance evidence (for example, SOC 2 Type II or ISO 27001). - Public evidence of such certifications was not found in the sources accessed during this research pass; enterprises requiring formal certification documentation may prefer vendors with established compliance programs. - If continuity depends on a permanently available free tier - Multiple reviewers reported that a free tier was changed or removed; organisations that rely on an always-available free tier should consider the operational risk of those changes. - If a full contact center platform is required - Consider CCaaS vendors (Talkdesk, Genesys, Five9) when omnichannel routing, workforce management, advanced analytics, and enterprise support structures are required. - If a highly programmable developer platform with clear usage-based unit economics is required - Consider developer-focused voice AI platforms that publish per-minute AI rates and explicitly separate carrier costs for clearer unit economics. - Current limitations acknowledged by the vendor - No explicit vendor-maintained "known issues" page was identified in the public sources accessed during this research pass. - Roadmap features - Public roadmap details were not found in the materials accessed during this pass. - Scale limitations - Partner materials describe high-volume capability through telephony partners, but independent evidence of containment accuracy, automatic speech recognition (ASR) performance at scale, and latency behavior is limited. - Security or compliance gaps - A lack of publicly documented certifications and detailed enterprise security feature disclosures represents procurement friction for many B2B buyers. - Technical limitations - Webhook integration capabilities exist, but API-based integration requires technical setup and secure credential handling, which can be an implementation burden for non-technical SMBs.

Deal disqualifiers: what makes a POOR fit

Procurement requirements that mandate mature, independently evidenced security certifications such as SOC 2 Type II or ISO 27001.
Extremely complex call flows requiring deep customization, omnichannel routing, or agent-assist features typical of full CCaaS suites.

02Why they buy

- Positioning as a low-cost or free phone agent option for SMBs (Lucy) - The vendor has positioned Lucy as a low-cost or free voicemail-replacement option; however, customer reports indicate inconsistency in the availability and terms of the free tier. - Voicemail replacement with summaries and transcripts - Reviewers frequently cite value from receiving text or email summaries and transcripts of missed calls. - Integration capabilities via webhooks - Public documentation indicates webhook-based integration options for posting transcripts and metadata into CRMs or helpdesks, which enables basic automation for small teams. - Where competitors have advantages - CCaaS vendors generally provide broader enterprise functionality and, in many cases, clearer compliance and governance documentation. - Developer-first voice AI vendors may provide greater programmability and clearer per-minute pricing models.

03Field reports

Note on review availability: review volume is relatively low on major B2B software platforms (for example, G2 shows a very small number of reviews; Capterra shows a very small number), while Trustpilot has a larger review volume that may reflect SMB/consumer usage and includes vendor-provided profile text. - G2 (very small number of reviews; low sample size) - The vendor had a low average rating on G2 with only a few reviews; the small sample size limits the ability to generalize. - Capterra (very small sample; mixed extremes) - Negative (recent): a reviewer reported decreased support responsiveness after an ownership/operational change and stated that the free version was removed or temporarily unavailable alongside a reported price increase to published monthly pricing. - Positive (earlier review): a reviewer reported significant positive impact on hiring processes and described good service and adaptability; this likely refers to an earlier product focus prior to the voice-agent positioning. - Trustpilot (larger review volume; mixed, with recurring free-tier controversy) - Positive themes: several reviewers noted straightforward setup, helpful message-taking, and useful summaries while busy; multiple positive reviews describe the agent capturing calls and sending summaries. - Negative themes: reviewers reported setup difficulties, perceived discrepancies between marketing and product behavior, and complaints that the free offer was restricted or removed; some reviewers labeled the offering a "Scam" and alleged they were moved into a paid subscription after free-tier changes. - Product Hunt - Product Hunt has a product page and feedback history that demonstrate launch presence and positioning; the product was presented publicly as a low-cost or free AI phone agent at launch. - Why customers chose this product over alternatives (from reviews and positioning) - Reviewers and vendor positioning indicate the voicemail-replacement use case: answering missed calls and extracting lead or customer intent without hiring dedicated staff. - Convenience factors reported include receiving immediate summaries and transcripts and basic automations such as sharing booking links. - Why some customers left or expressed churn intent - Recurrent issues in reviews include dissatisfaction or distrust related to changes in the free tier and perceived mismatch between marketing and product availability. - Some reviewers have described decreased support responsiveness following operational changes.

Case Studies

- Vonage partnership / case narrative (vendor/partner authored) - A Vonage press release described a partnership use case in which the vendor processed large volumes of customer contacts over a short period; the release includes scale metrics but is partner-published material and not an independent audit of outcomes. - Vonage resource pages describe global deployment and API usage (voice/SMS/numbers/reports), which supports feasibility for high-volume delivery but do not provide independent outcome metrics such as conversion rates, containment, or customer satisfaction. - Healthcare-oriented implementation write-up (vendor-hosted document) - A vendor-hosted paper discusses using a conversational AI agent for patient management during the pandemic and references GDPR compliance; as a vendor-hosted document it requires independent validation of methodology and outcomes before being treated as rigorous evidence. - Methodology gaps to flag - Publicly cited scale metrics (for example, calls processed or customers reached) are not equivalent to business outcome metrics (for example, reduced call abandonment, increased bookings, or reduced cost per contact). Many public claims lack experimental design, baseline comparisons, or third-party verification.

04Best fit

Company sizes: specific employee counts and revenue ranges

Lucy-style: solo operators to very small teams, service businesses that frequently miss inbound calls (for example, contractors, clinics, professional services).
Mid-market: teams that run outbound engagement programs and can invest in integration and governance (mid-sized organizations), particularly in regulated or high-touch industries.

Industries and verticals where adoption is strongest (with customer examples)

Health and financial services were identified in press coverage as target verticals during the vendor's pivot to voice-agent offerings.
Telephony partner materials also describe use across ecommerce and financial services.

Roles and personas: decision makers AND end users

SMB owner/operators who need missed-call capture and rapid summaries.
CX/operations leads who require containment, routing, and quality metrics.
IT/security professionals who will evaluate call recording and transcript storage, retention, and access controls.

Pain points and challenges the product addresses

Missed inbound leads and delayed callback cycles.
After-hours coverage without hiring additional staff.
Scaling outbound engagement where initial contact can be automated.

Qualification criteria: what makes a GREAT fit

High missed-call volumes with relatively repetitive call content (common FAQs, booking requests, basic qualification questions).
Willingness to use call forwarding and accept first-contact handling by an AI agent.

05The pitch

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

- Curious Thing offers voice AI agents that handle phone conversations for businesses (inbound and outbound). The vendor provides an SMB-focused offering called Lucy, described as a voicemail replacement that answers missed calls, captures caller intent and details, and returns summaries/transcripts and suggested next steps (for example, links). - The platform is also positioned for proactive outreach and customer engagement across sectors such as healthcare, financial services, and ecommerce; the vendor describes automation of conversations while aiming to maintain conversational quality.

Target market and market positioning

SMB / solo-operator segment: Lucy is presented as a free or freemium missed-call answering/voicemail replacement for individuals and small businesses in supported countries (US/Canada/UK/Australia).
Mid-market / enterprise use cases: the vendor positions the platform for proactive outreach and inbound augmentation in sectors such as healthcare and financial services, and has described high-volume calling scenarios and global deployment through telephony partners.

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