Enter your key for Vault access. Inside: how we model 100% of the service experience — and why every other tool can't.
serviceMob is the world's first data ontology and experiential analytics platform for service and support. We sit on top of the Franken-Stack, quantify 100% of behavioral experience, and feed enterprise intelligence back to the business units causing the contact demand. Model the experience. Not the contact.
Ticketing, CRM, CCaaS, WFM, BI, AI support agents — each one an island with its own data ontology. No one is modeling the full experience. That's why contact demand never changes.
serviceMob ingests the dark data across every service system — including your AI solutions — engineers and synthesizes it into a single ontology, and pushes enterprise intelligence back to the business units causing contact demand.
Proprietary Multivalent Ontological Blocks feed Large Ontological Models, which in turn feed LLMs — turning fragmented service data into proactive, experiential intelligence.
Capture what happens. Interaction data plus behavioral dimensions — effort, repeat frequency, resolution steps, churn likelihood — synthesized into a holistic, actionable framework. Beyond transactional, beyond AHT.
CaptureConnect the insights across every system into a unified knowledge graph. This is how service stops being a siloed function and becomes a feedback loop that drives change throughout the organization.
ConnectContextually rich, predictive outputs that service agents, managers, and bots can use in real time. The chatbot stops being reactive — it becomes proactive. Demand gets reduced at the source, not absorbed downstream.
ActNot AHT. Not CSAT. These are the measurements that actually correlate with business outcome — and we compute them on 100% of behavioral data, not 5% surveys.
Not "up to 40%." Audited, repeatable economic impact across industries.
The axis nobody else occupies: experience modeling × contact-demand prevention. Every category above is measured on what it actually does, not what its marketing claims.
An honest read of the Franken-Stack. We're not replacing any of these. We're the layer that makes them mean something.
| Category | What They Do | What They Can't | serviceMob |
|---|---|---|---|
|
CCaaS
Talkdesk · Genesys · Five9 · NICE CXone
|
Route & measure call efficiency | Measures efficiency, not experience | Models 100% of experience |
|
CRM
Salesforce · ServiceNow · Dynamics 365
|
Manage cases and accounts | Manages cases, not customer journeys | Ontological journey model |
|
Sentiment / NPS
Medallia · Qualtrics · Pendo
|
Survey perception | 5% perception, not 100% behavior | 100% behavioral data |
|
WFM / QA
Assembled · Calabrio · Verint · Observe.AI
|
Forecast volume, schedule staff | Forecasts volume, ignores repeat contacts | Experiential forecasting @ 98.3% |
|
AI Support Agents
Fin · Decagon · Forethought · Sierra
|
Deflect tickets with LLMs | Optimizes tickets, not customer effort | Prevents contact demand at source |
|
BI / Data Viz
Tableau · Looker · Domo · Sisense
|
Visualize whatever you load in | Reports outputs, not inputs | Ontology-grounded inputs |
serviceMob is the engineered intelligence layer between service data and business outcomes. We transform service from a reactive cost center into a predictive economic lever. We measure 100% of experiences. We quantify effort. We forecast experientially. We prevent repeat demand. We deliver measurable impact.
If this made sense, the next step is a working session — 45 minutes on your data, your Franken-Stack, your experiential gaps.
Book a Working Session