Streem
AR collaboration tools
Augmented reality (AR) SDK software
Video conferencing software
Augmented reality software
Augmented reality (AR) development software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Streem and its alternatives fit your requirements.
Contact the product provider
Free Trial
Free version unavailable
Small
Medium
Large
- Real estate and property management
- Accommodation and food services
- Retail and wholesale
What is Streem
Streem is a remote visual assistance and AR collaboration product used to connect a field worker or customer with an expert over live video. It supports real-time annotations and guidance layered on the camera feed to help with troubleshooting, inspections, and service workflows. Streem is typically used in field service, insurance claims, and customer support scenarios where visual context reduces repeat visits and call time. It is delivered as a software platform that can be deployed across mobile devices and integrated into service processes.
Remote visual guidance workflow
Streem centers on live video sessions where an expert can guide a remote user through a task with visual context. This fits common remote-assist use cases such as triage, troubleshooting, and step-by-step repair. The AR-style overlays and annotations help reduce ambiguity compared with voice-only support. It aligns with how similar tools in this category are deployed for frontline and customer-facing assistance.
Supports service and claims use
The product is positioned for operational workflows where capturing what happened and what was done matters, such as inspections and claims-related interactions. In these scenarios, the ability to share visuals and guide actions in real time can shorten cycle times. This focus maps to typical enterprise adoption patterns for AR remote assistance. It is relevant for teams that need consistent processes across distributed locations.
Mobile-first participation model
Streem is designed around the reality that the person on site often uses a smartphone or tablet rather than specialized hardware. This lowers the barrier to participation for customers and field staff. It also makes deployments easier when compared with solutions that require dedicated headsets. The approach is consistent with the most common rollouts in the AR collaboration segment.
Limited public SDK clarity
Although Streem is used for AR-enabled collaboration, publicly available information about a standalone AR SDK and developer tooling is limited compared with products that lead with an SDK-first strategy. Organizations seeking to embed AR capabilities deeply into custom apps may need to validate API/SDK coverage during evaluation. This can affect build-versus-buy decisions for product teams. It may also influence how quickly bespoke workflows can be implemented.
Hardware ecosystem dependencies
As with most AR collaboration tools, the quality of the experience depends on device camera performance, connectivity, and user handling in the field. Poor lighting, bandwidth constraints, or unstable networks can reduce the effectiveness of annotations and guidance. These constraints are common across the category but still impact real-world outcomes. Buyers often need operational readiness planning and connectivity standards.
Enterprise fit varies by workflow
Remote assist platforms can require process change management to deliver consistent value, especially when used across multiple service lines. If teams do not standardize intake, escalation, and documentation practices, usage can remain ad hoc. This can limit measurable ROI and adoption at scale. Prospective customers typically need to confirm how well the product supports their specific compliance, reporting, and integration requirements.
