AI without the asterisk
AI that works in your operations.
Three products solving operational bottlenecks: document processing, worker safety, multilingual customer service.
Clarion Analytics builds AI products for Asia Pacific enterprises.
Clarion Analytics builds operational AI systems for Asia Pacific enterprises, solving document processing bottlenecks, worker safety challenges, and multilingual customer service gaps. Founded by engineers from AI tech startups with successful exits, we develop systems designed specifically for regional operational environments, compliance requirements, and multilingual contexts.
THREE AI SYSTEMS:
InterPixels AI - Health Insurance Claim Intelligence API
Automate OPD and IPD claim processing 8x faster without changing your TPA platform. Classifies and extracts data from IPD and OPD claims across 40+ document types. API integration
delivers structured data with built-in validation. No portal changes, no workflow
disruption.
AegisVision AI - Compliance and Hazard Detection Systems
AI-powered safety monitoring that turns existing cameras into
continuous compliance and hazard detection systems. Identifies risks before incidents
occur, reducing liability exposure and maintaining operational continuity. Deploys
without infrastructure changes or operational disruption.
VoiceVertex AI - Conversational voice AI for lead response and qualification
Sub-300ms latency across 70+ languages. Operates continuously to engage prospects
immediately, qualify buyers automatically, and eliminate response-time delays that
lose revenue to faster competitors.
OUR APPROACH:
We define operational outcomes before engagement, deploy systems into live operations, and remain accountable after go-live. No open-ended consulting projects. No pilots that stall. Serving Insurance, Financial Services, Oil & Gas, Construction, Manufacturing, and Logistics clients across Asia Pacific.
Founded 2021. Singapore headquarters. Built. Deployed. Accountable.
Explore Products →Built. Deployed. Accountable.
We build for the specific problem — not from a generic template. Every engagement begins with understanding the environment, the constraints, and the exact outcome that needs to change. We do not begin building until we know precisely what we are building toward and why. That discipline is what makes the delivery possible.
Deployment means the system is running in a real environment — not in a sandbox, not in a controlled test, not in a proof of concept. We do not consider an engagement complete until the system is live, processing real data, and producing real outputs. That is the bar. Everything before it is preparation.
Most vendors exit at handover. We stay. We define what success looks like before we start, and we remain accountable until the system is performing as agreed. If it is not, we are still in the room. Delivery is not the finish line. The outcome is. No asterisks.
Implementation Services & Custom Solutions
Deploy our products successfully in your environment with full integration, configuration, and team training.
What's Included:
• System integration with existing infrastructure
• Custom configuration for your workflows
• Training data preparation and model fine-tuning
• Team training and knowledge transfer
• 90-day post-deployment optimization
• 24/7 technical support
For strategic problems outside our product scope, we build custom AI systems, but only when aligned with our roadmap and committed to deployment.
We Only Accept Custom Projects When:
✓ The operational problem is outside our current product capabilities
✓ The engagement aligns with our product development roadmap
✓ Both parties commit to full deployment (not experimental pilots)
✓ Clear requirements, timeline, and success criteria defined upfront
Custom Capabilities: Computer Vision & Deep Learning, Generative AI & LLMs, Agentic AI & Workflow Automation, IoT & Real-Time Systems
Explore Implementation Services & Custom Solutions →Get an AI Readiness Assessment
Most organizations know AI is relevant. Few know which problems are genuinely AI-ready, which require foundational work first, and which aren't AI problems at all. Our AI Readiness Assessment answers those questions, honestly, without a product agenda. You'll receive specific opportunities, foundational gaps, what to avoid, a 12-month roadmap, and realistic investment ranges.
Complimentary for qualifying organisations (100+ employees or $10M+ revenue).
Request your AI Readiness Assessment →
Let’s Discuss Your AI Opportunity
Three ways to engage with Clarion, choose the path that fits
your situation
Common Questions from CXOs Evaluating AI Deployment
Direct answers to questions we hear from executives considering operational AI in Asia Pacific.
AI pilots fail when organizations treat them as research projects instead of deployment commitments. Without defined success criteria, integration plans, and clear ownership, pilots produce demos that never integrate into operations.
Three failure points: vague metrics (celebrating accuracy in controlled tests without defining production thresholds), integration underestimation (pilot runs on clean data but production requires legacy system connections), and accountability gaps (vendor exits after delivery, internal team lacks maintenance expertise). Clarion Analytics' approach differs: we define operational outcomes before engagement, deploy into live operations, and remain accountable post-deployment through our Built. Deployed. Accountable. framework.
Build in-house when the capability is your competitive advantage and requires proprietary approaches. Buy products when solving operational problems that other companies have already solved at scale. Most enterprises should buy operational AI and build only strategic differentiators.
Building in-house requires sustained investment: recruiting ML engineers, maintaining training infrastructure, handling model drift, ensuring compliance, and supporting systems after initial deployment. These conditions rarely exist outside technology companies. For operational problems (document processing, safety monitoring, customer service), buying proven products delivers faster deployment, lower total cost, and vendor accountability post-deployment.
APAC requires native multilingual support, regional compliance understanding, and adaptation to varied operational contexts. English-first AI systems fail on Chinese documents, Bahasa Indonesia inquiries, and local regulatory requirements. Systems must be built for regional languages and frameworks from inception, not retrofitted.
Document processing systems trained on US forms fail on Malaysian claims: different formats, mixed English-Malay text, handwritten sections, varied document quality. Translation layers add latency and reduce accuracy. Clarion Analytics develops InterPixels AI, AegisVision AI, and VoiceVertex AI specifically for APAC: native multilingual support, compliance built around MAS/BNM/OJK frameworks, training data from actual regional documents.
Clarion Analytics operates product-first, not consulting-first. We build production AI systems as products (InterPixels AI, AegisVision AI, VoiceVertex AI), then offer custom development only for problems outside our product scope. Global consultancies sell custom development by default. Different business model, different accountability.
Our products originated in real deployments: InterPixels AI from health insurance claims processing, AegisVision AI from Oil & Gas construction safety, VoiceVertex AI from banking and hospitality revenue automation. APAC-first architecture, not retrofitted. Singapore-based for data residency and local responsiveness. Our Built. Deployed. Accountable. framework means we remain engaged post-deployment until success metrics are achieved.
InterPixels AI deployed at leading TPA (India) processing health insurance claims: 15,000+ claims processed, processing time reduced from 40 minutes to 5 minutes per claim (8x faster), 95%+ extraction accuracy across 40+ document types. AegisVision AI deployed at Oil & Gas construction sites: 400,000+ safety compliance images analyzed across 9 cameras, zero new hardware required.
InterPixels AI handles IPD and OPD claims (25 and 15 document classes), integrates with Salesforce, SAP, and custom claims systems. AegisVision AI monitors PPE compliance, zone violations, working-at-heights risks, forklift near-misses on existing Hikvision, Axis, and Dahua cameras. VoiceVertex AI operates across banking, hospitality, retail for lead qualification, customer support with sub-200ms latency in 70+ languages.
Request our AI Readiness Assessment (complimentary for organizations with 100+ employees or $10M+ revenue). You receive a 90-minute evaluation session plus detailed written report delivered within 5 business days identifying where AI creates operational leverage, foundational gaps, what to avoid, 12-month roadmap, and realistic investment ranges.
The assessment determines which problems are AI-ready, which require foundational work, and which are not AI problems. We evaluate without product agenda. If our products do not fit, we say so. If they do, we specify exact deployment scope, integration requirements, expected outcomes, and timeline before any commitment.
InterPixels AI: Salesforce, SAP, custom claims management systems via REST APIs. Outputs structured JSON. AegisVision AI: Hikvision, Axis, Dahua, standard IP cameras with existing video management systems. VoiceVertex AI: CRM integration via REST APIs for banking, hospitality, retail platforms.
All products built API-first for integration flexibility. We do not require replacing existing systems. InterPixels AI extracts data and delivers to your systems in required format. AegisVision AI operates on existing camera infrastructure. VoiceVertex AI connects to existing CRM and communication platforms. On-premise deployment options available for data residency requirements.
Investment depends on deployment scope: product implementation versus custom development, integration complexity, and operational scale. Product deployments (InterPixels AI, AegisVision AI, VoiceVertex AI) have defined scope and transparent pricing. Custom development requires scoping before cost estimation.
Product deployment includes: system configuration, integration with existing infrastructure, training data preparation, team training, 90-day post-deployment optimization, and technical support. We provide detailed cost breakdown during scoping phase before engagement commitment. Our AI Readiness Assessment includes investment range estimates based on your specific environment.
We define success metrics before engagement begins and remain accountable until achieved. This is the Accountable component of Built. Deployed. Accountable. We do not exit at handover. If the system does not meet defined performance criteria, we continue optimization until it does or determine that a different approach is needed.
Risk mitigation built into deployment: staged implementation with validation gates, pilot phase on subset of operations before full rollout, defined performance thresholds that must be met before expansion, human-in-the-loop workflows during transition. Post-deployment: continuous performance monitoring, periodic retraining as operational environment evolves, technical support, optimization to maintain accuracy.
Timeline depends on organizational readiness, integration complexity, and deployment scope. Product deployments move faster than custom development. ROI begins when system processes real operational volume, not when pilot completes.
Deployment phases: scoping and requirements definition, system configuration and training data preparation, integration and testing in production environment, staged rollout with validation. Organizations with executive sponsor, defined success metrics, technical team availability, and realistic expectations about AI capabilities deploy efficiently. InterPixels AI reducing claims processing from 40 to 5 minutes shows immediate labor cost impact at scale. Specific ROI projections provided during AI Readiness Assessment.
