Clarion Analytics builds operational AI systems for Asia Pacific enterprises. We solve three specific bottlenecks: document processing, worker safety monitoring, and multilingual customer service, through three production-deployed products: InterPixels AI, AegisVision AI, and VoiceVertex AI.

Beyond products, we deliver custom AI engineering for problems outside our product scope, covering Computer Vision, Generative AI and LLMs, Agentic AI, and IoT and Real-Time Systems. Every engagement is committed to full deployment in a live operational environment, not a controlled demo or an open-ended consulting project. Founded in Singapore in 2021. Serving Insurance, Financial Services, Oil and Gas, Construction, Manufacturing, and Logistics clients across Asia Pacific.

Built. Deployed. Accountable. is how every Clarion engagement runs. Built means we define the exact operational outcome before any scoping, pricing, or development begins. We do not start building until we know precisely what we are building toward. Deployed means the system is running in a real environment processing real data. A sandbox or proof of concept is not a deployment.

Accountable means we stay after go-live. Most vendors exit at handover. We define what success looks like before we start and remain accountable until the system performs as agreed. If it is not performing, we are still in the room. The outcome is the finish line, not delivery. No asterisks.

Most enterprise AI deployments come with hidden qualifiers: results achieved in controlled conditions, accuracy measured on curated test data, performance subject to further investment, or outcomes valid only within limited scope. These are the asterisks. They are why compelling demos rarely translate into operational value.

AI without asterisks means every outcome Clarion commits to is achievable in your real operational environment, under your actual conditions, with your existing infrastructure where possible. No caveats about data quality assumptions. No fine print about what counts as success. What we agree to deliver is what gets delivered, and we stay accountable until it does.

Clarion Analytics is a product company first. We build and deploy three production AI products: InterPixels AI for document intelligence, AegisVision AI for worker safety monitoring, and VoiceVertex AI for multilingual voice automation. Products are the primary offering; custom engineering is secondary and accepted only when the problem sits outside product scope.

This distinction matters commercially. Consulting firms bill by time and resource consumed, exit at handover, and have no stake in whether the system performs post-delivery. Our products have fixed scope, transparent outcomes, and ongoing accountability after go-live. The business model is aligned with your results, not with extending the engagement.

Three products, each solving a specific operational problem. InterPixels AI automates OPD and IPD health insurance claim processing across 40 or more document types, delivering structured data via API without requiring changes to your existing TPA platform. AegisVision AI turns existing cameras into continuous PPE compliance and hazard detection systems for Oil and Gas, Construction, and Manufacturing sites, with zero new hardware required.

VoiceVertex AI is a conversational voice system operating across 70 or more languages with sub-300ms latency, built for lead qualification, customer service, and revenue automation in Banking, Hospitality, and Retail. All three products are deployed in production environments and integrate with existing enterprise infrastructure via API. Each originated from a real client deployment, not a lab prototype.

Yes. InterPixels AI is deployed at a leading Third Party Administrator in India processing health insurance claims: over 15,000 claims processed, extraction accuracy above 95 percent across 40 or more document types, and processing time reduced from 40 minutes to 5 minutes per claim. AegisVision AI is deployed at Oil and Gas construction sites with over 400,000 safety compliance images analysed across 9 cameras, using zero new hardware.

Custom engineering deployments include an AI car damage assessment system for the insurance and automotive sector, an end-to-end IoT sensor platform delivering real-time alerts across SMS, WhatsApp, and voice, and a full legacy CRM migration for a healthcare provider with zero operational disruption. All are paid client engagements running in live operational environments.

Most AI companies in Singapore offer consulting services that produce strategy documents and pilots, or generic platforms adapted from Western-market products. Clarion operates differently on both counts. We are product-first with systems built specifically for Asia Pacific operational environments, document formats, and regulatory frameworks from the ground up, not retrofitted from US or European baselines.

The accountability model is also structurally different. We commit to operational outcomes before scope is defined, deploy into live environments rather than staging, and remain accountable post-go-live. We do not accept open-ended engagements, time-and-materials billing, or pilot projects without a deployment commitment. That model is uncommon in the Singapore AI market and reflects a deliberate choice to align our commercial incentive with client outcomes.

Primary sectors are Insurance, Financial Services, Oil and Gas, Construction, Manufacturing, and Logistics. These reflect the operational problems our products are built to solve: document-heavy claims and KYC workflows in Insurance and Financial Services, PPE compliance and hazard detection in Oil and Gas and Construction, and multilingual customer service automation in Banking, Hospitality, and Retail.

Custom engineering engagements extend this further into Healthcare, Automotive, and industrial IoT applications where the problem requires purpose-built capability. The common thread across all sectors is operational AI deployed in live environments under real conditions, rather than analytical or advisory AI that produces reports without changing how the operation runs.

The AI Readiness Assessment is a structured evaluation of where AI can genuinely deliver operational value in your organisation and where it cannot. It identifies which problems are AI-ready now, which require foundational work first, and which are not AI problems regardless of how they are framed. The output includes specific opportunities, foundational gaps, what to avoid, a 12-month roadmap, and realistic investment ranges.

It is conducted without a product agenda. If a Clarion product fits a prioritised use case, we say so and specify scope precisely. If it does not fit, we say that too. The assessment is complimentary for qualifying organisations with 100 or more employees or USD 10 million or more in revenue. It is the right starting point for any organisation that knows AI is relevant but has not yet established where it creates the most leverage.

Three entry points depending on where you are. If you want to see a product running in a live environment, book a walkthrough. This is a real system demonstration with real outputs, not a controlled sales demo. If you have a specific operational problem, describe it to us directly. We scope what needs to be built and confirm whether a product already covers it before any engagement begins.

If you are not yet sure where to start, request the AI Readiness Assessment. It produces a structured evaluation of your AI opportunity without a product agenda, and qualifies as the starting point for any subsequent product deployment or custom engineering engagement. All three paths lead to the same standard: outcome defined upfront, deployment into your live operation, accountability beyond handover.