Mura
AI NativeInvisible AI for commercial field service back offices.
Est 2023|Valuation $26M|Raised $6M
Published Sep 20, 2026
| Starting Price | Not publicly posted (sales-led) | Not publicly posted; demo/quote model | Published plans with entry-level monthly tiers; free trial available |
| Typical Use Case | Commercial field service operators seeking back-office order-to-cash automation that integrates with existing FSM | Larger trades/service organizations seeking an end-to-end operating system (dispatch, CRM, pricing, reporting) | Small-to-midsize service businesses needing scheduling, quoting, and invoicing capabilities |
| Differentiator | Integration-first approach that focuses on automating back-office dispatch and billing tasks without replacing FSM | Broad module ecosystem and deep operational features for trades | Simpler feature set, faster adoption for SMBs, more transparent entry pricing |
| Key Concerns | Limited third-party review coverage; security/compliance posture not fully documented publicly; integration risk | Can be complex and costly for some customers; additional modules may increase TCO | May be limited for complex enterprise workflows; functionality may be gated by plan tier |
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Mura versus full FSMs (ServiceTitan, Salesforce Field Service, Dynamics 365 Field Service, ServiceMax): Mura's integration-focused approach is intended to reduce migration effort by automating tasks on top of an existing FSM. This reduces the scope of system replacement but also means any limitations of the underlying FSM remain in place. Full FSMs may offer more unified reporting and native workflow controls but typically require larger implementation efforts.
Mura versus custom-built automation (RPA/scripts): A vendor-provided automation layer can offer faster initial deployment and vendor support, while custom builds provide greater control but require ongoing engineering maintenance and ownership.
Adoption signals: Public signals indicate Mura is an early-stage vendor (hiring activity; vendor-published customer and volume claims). These signals suggest growth but should be validated with independent sources as part of due diligence.
Sources: Company career/profile pages and business information databases