Built from first principles, not one fixed vertical.
Headquartered in Singapore, Inoetic builds applied AI systems around the actual operational problem, the available data, and the deployment environment. Some systems face customers, some automate internal workflows, and some interpret video or documents to generate structured operational insight. We are not tied to a single industry template; we build the right system for the job.
Applied AI across customer operations, video, and enterprise workflows.
Systems designed around the work itself
We design AI systems at the workflow level: what decisions need to be made, what data exists, where humans stay in the loop, and how the system integrates into daily operations. That approach lets us move across problem classes without pretending every deployment is the same.
Customer Operations AI
Booking, lead handling, support, payment, and follow-up workflows across messaging and web channels.
Video Intelligence Systems
CCTV and field-video analysis for monitoring, detection, reporting, and operational visibility.
Knowledge & Workflow Automation
Internal copilots, retrieval systems, approvals, data tasks, and API-driven process execution.
Start from the workflow, not a template.
Customer Operations AI
LIVEOmnichannel enquiry handling, booking flows, commercial follow-up, and service automation.
Video Intelligence
CustomComputer vision systems for CCTV, field footage, inspection workflows, and structured reporting.
Workflow Automation
CustomKnowledge systems, approvals, internal copilots, and API-driven process execution tied to real business systems.
Gretta.ai
Customer operations AI for enquiries, bookings, and commercial workflows across messaging channels.
Visit Gretta.ai →
Vision & Monitoring Systems
Custom computer-vision systems for site monitoring, inspection flows, field footage analysis, and operational reporting.
Knowledge & Workflow Systems
Task-specific AI systems for internal operations, knowledge retrieval, approvals, and process execution.
Built for the deployment, not the demo.
Our approach starts with first-principles problem framing, then selects the right mix of language models, automation, retrieval, computer vision, and integration layers for the actual operating environment.
First-Principles System Design
We map the real workflow, the available data, the decision points, and the deployment constraints before selecting models or tools. The architecture follows the operating problem.
Multimodal Systems & Integrations
We combine language models, retrieval, OCR, computer vision, APIs, and databases when the problem calls for it, rather than forcing every deployment into one modality.
Production Reliability
Guardrails, fallbacks, observability, auditability, and controlled automation keep systems reliable once they leave the prototype stage.
Need an AI system that fits the actual operation?
If the problem touches customer workflows, internal processes, or real-world video and data, Inoetic can design the right system architecture for it.
Contact Inoetic