QueSee AI
QueSee AI is an AI-powered call center analytics platform that scores 100% of customer calls, predicts subscriber-level churn risk, and writes insights back to existing CRM/billing systems for ISPs, WISPs, and broadband operators.
- Company typePrivate
- Founded2025
- HeadquartersDover, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What QueSee AI does
QueSee AI is a Delaware-incorporated, remote-first software company that sells an AI-powered call center analytics platform purpose-built for ISPs, WISPs, and broadband operators. The platform ingests call recordings from existing telephony infrastructure (VoIP.ms, Atheral, RingCentral), transcribes and analyzes 100% of customer calls via third-party AI services (speech-to-text, NLP, Anthropic for analysis), and scores every interaction against configurable SOPs in real time. Beyond call scoring, the system produces subscriber-level churn risk scores with specific reasons and recommended retention plays, an on-demand natural language research engine (Ask Q) that returns answers with citations to source calls, and a Tower Intelligence view (via the Preseem integration) that aggregates churn risk by infrastructure site. Outputs are written back to operator CRMs, billing systems, and helpdesks via 140+ Paragon-mediated connectors, with real-time alerts pushed to Teams/Slack.
The product is delivered as multi-tenant cloud SaaS hosted on AWS/GCP with VPC isolation, AES-256 encryption at rest, TLS 1.3 in transit, and zero retention of call audio after analysis. QueSee generates revenue through a per-agent, per-month subscription model — Essential at $70/agent/month, Pro at $120/agent/month, and Enterprise at custom pricing — distributed via self-serve 14-day free trial, sales-assisted enterprise engagement, and a partner/reseller program. Go-to-market is heavily concentrated in the WISP community through WISPA membership, the WISPA Emerging Tech Competition win at WISPAPALOOZA 2025, and exhibiting/speaking at ISP trade events (ISPAmerica 2026, Fiber Connect OKC 2026, WISPAPALOOZA 2025, Broadband Nation Expo 2025). The company is small (1-10 employees, founder-owned, no disclosed institutional funding) and counts roughly 15 named ISP customers including 360Broadband (the lead case study with verified 4.2% monthly churn reduction and $9,352/month in protected MRR), ASI Network, Metronet, Dobson Fiber, and others spanning 2,000 to 200,000+ subscriber footprints.
QueSee AI firmographics
Firmographics- Name
- QueSee AI
- Legal name
- QueSee AI Inc
- Website
- https://quesee.ai
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- QueSee AI is an AI-powered call center analytics platform that scores 100% of customer calls, predicts subscriber-level churn risk, and writes insights back to existing CRM/billing systems for ISPs, WISPs, and broadband operators.
- Ownership category
- akta.pro rank
QueSee AI industry classification
Industry- Product category
- Call Center Analytics Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design Services (541512)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Contact Center Speech AI (agent assist, IVR automation) (HDAAAFAL)
- akta.pro secondary industry
- Question Answering & Retrieval-Augmented Generation (RAG) (HDAAADAC)
Keywords
Where QueSee AI is headquartered
LocationHeadquarters
- HQ city
- Dover
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
QueSee AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- Subscription SaaS (Per-Agent): QueSee is sold as a SaaS subscription on a per-agent, per-month basis. Pricing tiers are Essential ($70/agent/month), Pro ($120/agent/month), and Enterprise (custom pricing). Subscriptions auto-renew monthly or annually and are billed in advance. The subscription model includes platform access, AI call scoring, analytics, CRM integrations, and support aligned to the plan tier.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Per seat | Monthly | Essential Plan — $70/agent/month |
| Per seat | Monthly | Pro Plan — $120/agent/month |
| Per seat | Multi-year contract | Enterprise Plan — Custom Pricing |
Go-to-market motion4 records
Distribution channels4 records
Marketing channels8 records
QueSee AI product offering
Product offeringCore offering
QueSee AI is a SaaS call center analytics platform built specifically for ISPs and broadband operators that analyzes 100% of customer calls via speech-to-text transcription, scores every interaction against configurable SOPs in real time, assigns subscriber-level churn risk scores with recommended retention plays, and pushes auto-generated call notes and tasks directly into existing CRM, billing, and helpdesk systems. The platform functions as an add-on layer to existing VoIP, CRM, and OSS infrastructure with no replacement required, and includes a natural-language research engine (Ask Q) for ad-hoc strategic queries across the call database.
Product overview
QueSee AI is a unified call center analytics and customer experience platform for ISPs and broadband operators, consisting of a core platform with multiple integrated modules. The platform combines conversation scoring (100% of calls analyzed automatically against configurable SOPs), churn intelligence (subscriber-level risk scoring with recommended retention plays), Ask Q (natural language research engine querying the call database), and agent performance tracking — all accessible through a real-time dashboard. The platform integrates with existing VoIP systems (VoIP.ms, Atheral, RingCentral), CRMs (Sonar, HubSpot, Salesforce), billing platforms (Stripe, Recurly, Zuora, Chargebee), network analytics tools (Calix, Preseem), helpdesk systems (Zendesk, Freshdesk, Intercom, ServiceNow, Help Scout, Kustomer), and communication tools (Microsoft Teams, Slack). Data flows from call recording capture through AI analysis (speech-to-text, NLP scoring, churn detection) to structured outputs pushed back into CRM, billing, and helpdesk systems. QueSee positions itself as an add-on layer — not a replacement for existing phone systems, CRMs, or billing platforms — with typical setup in 11 days and no IT project required.
Differentiator
Problem solved
Functional benefit
Products and services
- QueSee AI Call Center Analytics Platform Core SaaS platform that analyzes 100% of customer calls for broadband operators, automatically scores every call against configurable SOPs in real time, detects churn signals, predicts subscriber-level churn risk, and delivers coaching insights. Sold as a per-agent monthly subscription with Essential ($70/agent/month), Pro ($120/agent/month), and Enterprise (custom) tiers; 14-day free trial available; target buyers are ISP and broadband operator support, retention, and sales leaders.
- Ask Q Natural Language Research Engine Standalone research engine bundled within the QueSee platform that answers strategic questions across the call corpus on demand or on a schedule, with citations to source call audio. Designed for ISP operators, CX leaders, and retention teams who need analyst-grade insights without SQL or BI tooling.
- Preseem QoE Integration (Tower Intelligence) Integration add-on that brings real-time network Quality of Experience data from Preseem into the QueSee platform, enabling support agents to access network context during live calls and giving operators a Tower Intelligence view aggregating churn risk and revenue impact by infrastructure site. Sold as part of the QueSee platform for broadband operators.
Quantifiable outcome
- 360Broadband reduced monthly churn by 4.2% and protected $9,352/month in MRR in year one
- +6 more outcomes
Companies that use QueSee AI
Customer profileNamed customers15 records
Segments9 records
Ideal customer profiles2 records
QueSee AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration20 records
AI capability9 records
Feature6 records
QueSee AI partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered core.
- PreseemcorePreseem and QueSee AI announced a product integration connecting Preseem's Quality of Experience (QoE) network data directly into QueSee's customer experience and retention platform for broadband operators. The integration enables support agents to access real-time network context during live calls, provides network-verified call scoring, and introduces a Tower Intelligence view that aggregates churn risk and revenue impact by infrastructure site. Setup requires no changes to existing systems.
- VoIP.mscoreVoIP.ms is a VoIP platform integration — QueSee connects to VoIP.ms via direct SIP trunk integration, pulling call recordings automatically in real time without manual exports or batch uploads. Setup takes approximately 2 hours.
- SonarcoreSonar is a billing and OSS platform integration. QueSee provides bi-directional sync with subscriber data, pulling real-time billing status, plan details, and payment history into every call analysis. Usage drops and payment issues are flagged even when subscribers don't call. Setup takes approximately 4 hours.
- CalixcoreCalix is a network analytics platform integration. QueSee correlates network performance data with call patterns — outage events, speed issues, and signal quality data are layered into churn risk scoring for a complete subscriber picture. Setup takes approximately 1 day.
- AtheralcoreAtheral is a voice switching platform integration. QueSee provides native call recording capture from Atheral's voice switching infrastructure, integrating call quality and routing data for end-to-end conversation intelligence. Setup takes approximately 2 hours. QueSee co-exhibited with Atheral at WISPAPALOOZA 2025.
- Paragon (Integration Mediation)coreParagon mediates QueSee's 140+ pre-built connectors to platforms including Zendesk, Salesforce, Freshdesk, Intercom, ServiceNow, HubSpot, and others. This enables write-back of call notes, churn flags, and tasks to the customer's existing helpdesk and CRM systems.
- WISPAcoreWISPA (Wireless Internet Service Providers Association) is the home of 500+ wireless ISPs — a peer-driven, operator-first community that has shaped how QueSee is built. QueSee is a proud member of WISPA and participated in the community, winning the WISPA Emerging Tech Competition at WISPAPALOOZA 2025. The ISP operators in WISPA provided honest feedback, tested early versions, and pushed QueSee to solve the problems that actually matter.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
QueSee AI competitors and assessment
Company assessmentDirect peers
- CallMiner: CallMiner is a leading conversation intelligence platform that scores 100% of customer interactions for QA, coaching, and CX analytics. It competes most directly with QueSee's core call scoring and analytics capabilities across multiple verticals including telecom.
- Observe.AI: Observe.AI provides AI-powered contact center analytics with automated QA, agent coaching, and conversation intelligence. Closely comparable to QueSee's automated call scoring, sentiment analysis, and coaching workflows in mid-market and enterprise contact centers.
- Cresta: Cresta delivers real-time AI agent assist, conversation intelligence, and coaching for contact centers. Overlaps with QueSee's agent scoring, coaching insights, and natural-language research across call data.
- Balto: Balto provides real-time agent coaching and QA automation for contact centers. Directly comparable to QueSee's agent performance scoring, coaching queue, and SOP-driven call evaluation workflows.
- Gong: Gong is a conversation analytics platform primarily for sales calls, capturing, transcribing, and analyzing interactions to surface insights. Comparable to QueSee's call analysis, scoring, and 'Ask Q' research engine, though Gong skews to sales rather than support/retention.
- Temasoft: Temasoft offers call recording, quality monitoring, and analytics for SMB and mid-market contact centers. A comparable direct peer on call recording capture, scoring, and CX reporting at the smaller end of the market where QueSee also plays.
- Avoma: Avoma provides AI-powered conversation intelligence, meeting/call recording, transcription, and coaching. Comparable to QueSee on automated call transcription, scoring, summarization, and CRM write-back workflows.
Broad incumbents
- NICE Nexidia: NICE Ltd.'s Nexidia is an established speech analytics and customer engagement analytics suite used by large enterprises including telecoms. A broader incumbent offering overlapping call scoring, sentiment, and CX analytics at enterprise scale.
- Verint: Verint provides customer engagement analytics, speech analytics, and workforce engagement management. A broad incumbent competitor with deep telecom and contact center penetration that overlaps with QueSee's QA, analytics, and coaching capabilities.
- Genesys Cloud CX: Genesys is a major CCaaS platform that bundles speech analytics, quality monitoring, and AI-driven agent assist into a broad suite. A broad incumbent whose AI features increasingly compete with QueSee's analytics and coaching layer, especially among larger telecom and BPO customers.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
QueSee AI social profiles
Digital presenceQueSee AI compliance and trust
Trust signalCompliance3 records
QueSee AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
QueSee AI leadership team
Management profileNumber of profiles
QueSee AI funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
QueSee AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about QueSee AI
What does QueSee AI do?
QueSee AI is a SaaS call center analytics platform built specifically for ISPs and broadband operators that analyzes 100% of customer calls via speech-to-text transcription, scores every interaction against configurable SOPs in real time, assigns subscriber-level churn risk scores with recommended retention plays, and pushes auto-generated call notes and tasks directly into existing CRM, billing, and helpdesk systems. The platform functions as an add-on layer to existing VoIP, CRM, and OSS infrastructure with no replacement required, and includes a natural-language research engine (Ask Q) for ad-hoc strategic queries across the call database.
Is QueSee AI a public or private company?
QueSee AI is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was QueSee AI founded?
QueSee AI was founded in 2025. It employs 1 to 10 people.
Where is QueSee AI based?
QueSee AI is headquartered in Dover, United States, in the North America region.
How does QueSee AI make money?
One revenue line is on record: subscription SaaS (Per-Agent).
Who are QueSee AI's main competitors?
Direct peers on record are CallMiner, Observe.AI, Cresta, Balto, Gong, Temasoft and Avoma. Broad incumbents are NICE Nexidia, Verint and Genesys Cloud CX.
Does QueSee AI have an API?
No public API is recorded for QueSee AI.
What industry is QueSee AI in?
QueSee AI's product category is Call Center Analytics Software. Its primary akta.pro industry code is HDAAAFAL, Contact Center Speech AI (agent assist, IVR automation), with a secondary code of HDAAADAC, Question Answering & Retrieval-Augmented Generation (RAG). Its NAICS code is 5182 and its SIC code is 7372.