SightCall is proud to join Google in announcing the new Gemini Live API, a major leap forward in conversational AI.
With this launch, SightCall can now connect Google’s real-time conversational engine with its own Xpert Knowledge™ platform to give field technicians something they’ve never had before: instant guidance built from real expert experience.
Gemini Live API isn’t just fast, it’s seamlessly human.
Paired with Xpert Knowledge™, it becomes a real-time expert that knows what your best technicians know—
even if that knowledge was never written down.
This is where AI turns real-world service interactions
into actionable expertise.
Why this matters for service teams
SightCall’s Xpert Knowledge™ is a system that captures and organizes tribal knowledge from visual support sessions. The result is an on-site intelligence tool that blends AI speed with the depth of a seasoned technician’s know-how.
By connecting with the more natural, real-time capabilities of Gemini Live, SightCall helps move enterprise service closer to a future where AI doesn’t just answer questions—it joins technicians on the job with guidance shaped by real human expertise.
Technicians can troubleshoot issues hands-free, ask follow-up questions, and get decision-ready steps drawn directly from the experience of seasoned experts.
For enterprise service leaders, the benefits go beyond operational efficiency. This step brings AI closer to the realities of frontline work—where unexpected failures, aging equipment, and fragmented documentation can slow down even experienced workers.
A next step in the evolution of service intelligence
Gemini Live API’s more natural, conversational way of interacting makes it possible for service organizations to embed AI directly into the technician workflow.
No searching. No flipping through manuals.
Just real-time answers grounded in actual field experience.
SightCall sees this as a major step toward the future of service operations, where expertise is no longer limited to the people who happen to be available in the moment.
A new class of AI support for enterprise service
For years, service organizations have struggled with an aging workforce, vanishing tribal knowledge, and long onboarding cycles. Many have turned to digital tools or generic AI assistants, only to find that they fall short when technicians need guidance based on actual field experience.
The combination of Gemini Live API + SightCall Xpert Knowledge™ changes that equation.
How the integration elevates on-site performance
- Real-time, conversational guidance
Gemini Live API delivers fluid, natural back-and-forth dialogue. Technicians get guidance the way they prefer: visual, conversational, and embedded in their workflow.
- Knowledge built from real experts, not generic AI
SightCall Xpert Knowledge™ transforms insights from visual support sessions into structured, technician-validated steps and explanations. No hallucinations. No scraped internet data. Just the distilled experience of an organization’s top experts.
- Instant access to “what the best tech would do”
When a technician encounters a complex or unexpected issue, SightCall Xpert Knowledge™ + Gemini Live API provides context-aware suggestions drawn from situations that experts have solved before.
- Reduced training time and faster ramp-up
New hires get support that mirrors shadowing a senior technician, complete with visual cues, decision points, and troubleshooting sequences.
- Knowledge preservation at scale
As service orgs battle workforce turnover, this integration becomes a safeguard against expertise loss. Every resolved issue becomes part of a growing, searchable network of hard-earned know-how.
SightCall’s next leap forward
SightCall has spent more than a decade powering remote visual support for global brands. SightCall Xpert Knowledge™ expands that mission by capturing expert guidance directly from live service interactions and transforming it into reusable, visual workflows.
Now, with Gemini Live API, that valuable institutional knowledge becomes accessible through a conversational AI that feels more like a colleague than a tool.
