Voiceops, Inc.

Name: Voiceops, Inc.
Brand: Voiceops, Inc.
Rating: 5 (3 reviews)

We help B2C companies listen to their customers at scale.

Est 2016|Valuation $26M|Raised $23.7M|12 Ref Customers

LinkedIn 5K|Website|FTEs 13|HQ New York, New York, US

MarketsCS Quality Management & Coaching Conversation Intelligence

Published Oct 11, 2026

01Common complaints

- If you require large volumes of recent, independent peer reviews before purchase - Voiceops has a limited independent public review footprint in the sources reviewed. If procurement requires many recent peer reviews (G2/TrustRadius/Gartner Peer Insights), consider vendors with larger public review datasets. - If your procurement requires publicly documented security posture before discussions - If an organization’s security process requires a public trust center, published SOC 2/ISO attestations, and clear data residency statements before sales engagement, expect additional friction unless the vendor provides these documents under NDA. - If you are a small business seeking transparent self-serve pricing - The vendor appears sales-led with contact-sales pricing; teams seeking published tiers and low-commitment trials may prefer alternatives. - If you require an all-in-one CCaaS platform - Voiceops integrates with CCaaS providers but is not a telephony/WFM provider; organizations seeking a single vendor for telephony, WFM, QA, and analytics may prefer NICE/Genesys. - If your primary need is B2B SaaS deal intelligence - Vendors specialized in B2B sales intelligence may provide more focused feature sets and integrations for that use case. - Limited public review data (major evaluation limitation) - The lack of recent, high-volume independent reviews is a significant evaluation limitation; buyers should rely on pilots and reference checks. - Vendor-published outcomes without independent methodology - Case study metrics and impact statements are vendor-published and lack independent verification. Buyers should ask for baseline definitions, measurement windows, attribution methodology, and any negative or neutral results. - Security/compliance documentation not easily discoverable publicly - Certifications, data residency, and detailed enterprise security features were not clearly documented in publicly accessible sources. - Roadmap / future features - No public product roadmap with dates was available in the sources reviewed.

Deal disqualifiers: what makes a POOR fit

Very small teams without sufficient call volume to justify an enterprise setup
Organizations unable to record calls due to legal/consent constraints or lacking outcome instrumentation
Buyers that require published security attestations and a public trust center before engaging in any sales process

Why some customers left for competitors (churn reasons)

No consistent, public churn narratives were located; this is a research gap. Buyers should request references and ask why any former customers replaced the product.

02Why they buy

- Vendor-stated potential advantages (framed as vendor claims) - Vendor describes an "agent-like" model that adapts and updates tracking as new signals are required, intended to reduce manual rule management. - Emphasis on producing structured data and workflow outputs (CRM updates, alerts) rather than only dashboards. - Vendor messaging emphasizes the ability to provide QA coverage across large volumes of calls. - Counterbalance (where competitors may have clearer advantages) - Competitors such as CallMiner may provide clearer public guidance on pricing structure and pilots. - Larger incumbents may have more publicly visible compliance artifacts and a larger public review footprint.

Why customers chose this product over alternatives (inferred)

Buyers seeking broader coverage of QA and more nuanced analysis than simple keyword spotting selected the product based on vendor case studies and messaging that emphasize rapid creation of custom extractors/"skills" and integration into operational workflows.

03Field reports

Review platform coverage snapshot (availability issues)

- Gartner Peer Insights - Automated access did not return VoiceOps-specific reviews; the vendor does not appear to have a visible profile with accessible peer reviews in the sources checked. - G2 - G2 showed no visible peer reviews for VoiceOps at the time of this research, limiting independent review-based validation via that platform. - Capterra - Capterra lists VoiceOps with a small number of historical reviews dating from 2017; these are legacy and may not reflect the current product iteration. - TrustRadius - No VoiceOps-specific TrustRadius review page was accessible from searches.

Direct quotes (vendor-supplied and historical)

- Capterra (2017; legacy VoiceOps coaching/analytics framing) — historical customer quote: - "We had zero insight into the difference between our top performers and bottom performers… VoiceOps solved both of those issues." - Reported pros: "Accurate transcription, team-wide rollups, breakdowns by skill but easy to drill into calls and see context." (2017) - Vendor-selected testimonials on the official site (vendor-published) - "It's so much easier. And the accuracy is incredible. I was very impressed." — QA Lead (Truehold) (vendor-selected) - "VoiceOps gives us call evaluation at scale without losing the precision of our own coaching standards… create new skills in hours…" — Director, QA & Insights (KIN) (vendor-selected) Note: these quotes are provided by the vendor or are historical reviews; they should be treated as vendor-selected content and historic signals rather than independent, current peer reviews.

Direct quotes (critical / negative)

Independent negative reviews about VoiceOps were scarce in the accessible sources. Capterra historical reviews had limited "Cons" content in their captured snippets. G2 did not show independent reviews, and no TrustRadius page was found. Community forums did not surface high-signal discussions about the company.

Common praise themes (from available evidence)

Historical and vendor-selected praise highlights transcription accuracy and structured analytics that support coaching at scale and reduce the need to listen to large volumes of recordings.

Common criticism themes (from available evidence)

Limited recent, independent customer reviews: the available independent review footprint is small, which complicates third-party validation of claims.
Pricing opacity: third-party references and vendor pages indicate that pricing is not publicly listed and is handled via custom arrangements, which can be a friction point for mid-market buyers.

Truehold (vendor case study)

- Vendor claims - Vendor-published materials describe automated QA coverage of all calls and a reported increase in first-connection conversion, with a claimed short implementation period to reach full coverage. - Problem framing: manual spot-checking covered a small portion of calls; keyword-based approaches missed nuance; ad hoc analysis required technical resources. - Implementation detail signals - The vendor describes a workflow for defining a question, labeling a small set of calls, and deploying a model to answer the question across additional conversations in a short timeframe. - Critical evaluation - Metrics are vendor-published and lack independently verified methodology. Buyers should request baseline definitions, measurement windows, attribution methodology, and any supporting data.

ISSA / other case studies

The vendor references additional case studies (for example, an ISSA case) on its site; the full case study content was not retrieved in the sources used for this report.

04Best fit

Company sizes: employee counts and revenue ranges (practical guidance)

Best fit appears to be mid-market to enterprise B2C organizations with substantial call volumes and measurable revenue or compliance exposure tied to call outcomes.
Practical inferred ranges:
- Mid-market to large enterprise employer sizes
- Contact centers ranging from small teams to very large agent pools
- Organizations with material revenue where conversion or compliance improvements have a meaningful business impact

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

Indicated focus areas include: insurance (examples in vendor materials), education, real estate, travel, and lending/financial services.

Roles and personas: decision makers AND end users

Decision makers: VP Sales, COOs, Head of CX / Contact Center Operations, Compliance/Risk leaders, RevOps / Sales Ops
End users: QA managers/analysts, sales managers/team leads, enablement teams, and BI/analytics teams

Pain points and challenges the product addresses

Low coverage of manual QA sampling vs the vendor goal of broader coverage
Inconsistent coaching and limited visibility into agent behavior
Ad hoc analysis workflows that require engineering support
Compliance monitoring at scale

Qualification criteria: what makes a GOOD fit

High call volumes with outcome tracking in CRM
Willingness to operationalize structured outputs (scorecards, coaching workflows)
Potentially high cost of compliance failures or conversion leakage
Mature data stack and willingness to integrate outputs into BI/warehouse

05The pitch

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

- Voiceops presents itself as an AI-driven analytics layer for high-volume customer conversations (primarily voice calls, with messaging channels also mentioned). The product converts unstructured conversations into structured fields, supports workflows, and provides downstream actions (for example, CRM enrichment, QA scoring, compliance flags, lead scoring, and knowledge base updates). - Vendor messaging states the product focuses on: - Automated quality assurance with coverage claimed across all calls (vendor-stated). - Extracting structured data from conversations (intent, objections, outcomes, etc.). - Delivering insights into existing systems (CRM/BI/Slack/webhooks). - Ongoing model updates and adaptation rather than solely static rule sets (vendor-stated).

Target market and market positioning

- Primary ideal customer profile (ICP) appears to be mid-market to enterprise, consumer-facing (B2C) companies with large volumes of calls and revenue at stake. Typical buyer personas referenced include VPs of Sales and COOs. - Use cases include sales, contact center / CX, QA, compliance/risk, and product/marketing voice-of-customer intelligence. - Historically, the company (previously branded as VoiceOps) focused on coaching enablement for call centers and sales teams; current vendor materials describe an expanded scope toward conversation intelligence and adaptive analytics.

Get a comprehensive analysis of Voiceops, Inc. including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →