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Visual AI

Instantly analyze and interpret visual data – enabling faster diagnosis, accurate guidance, and precise decision-making.

78%

of high-performing field service organizations utilize AI technologies

270%

Expected computer vision adoption over four years

Turn Complexity Into Actionable Data

SMART Code and Label Detection

Important service data often lives on labels, screens, and handwritten notes, making it hard to capture and use consistently. SightCall uses AI to automatically detect and match data such as text, codes, and numbers to asset and knowledge systems, giving teams instant access to accurate, searchable information.

Teams reduce manual entry and unlock more value from existing service data.

“Implementing automation in data capture processes can reduce manual data entry work by up to 80%.”

Data Entry Statistics

DocuClipper

“Technicians spend an average of 52% of their time on data capture (manual and digital).”

Consumer Research

Service Council

Diagnose Issues Faster With Visual AI

Computer Vision

When problems aren’t immediately visible, service teams lose time diagnosing issues and risk making the wrong call. SightCall’s computer vision can classify and recognize patterns, spot defects, and analyze images in real time, turning photos and snapshots into clear, useful insights.

Teams use visual AI to shorten diagnostic time and reduce re-inspections.

Put Trusted Visual Data to Work

Multimodal Generative AI

When critical knowledge is hard to access, teams rely on guesswork or escalate issues unnecessarily. SightCall turns your captured photo and video service data into visual problem-solving guides for customers, technicians, and remote experts. Instant, accurate, visual multimedia—without the risk of AI errors.

Close knowledge gaps by surfacing visual know-how at the moment of need.

Integrations

Built for Effortless Integrations

SightCall VISION connects seamlessly with leading software. Keep your current CRM, FSM or CCaaS system, create your own experience leveraging our APIs, or use SightCall VISION in standalone mode.