Responsible by default
We prioritize projects where AI improves safety, access, service quality, productivity, or risk control. Capability is evaluated against business value, operational risk, and social impact before build work begins.
Ordinexis designs and deploys private, secure, multilingual AI for banks, insurers, public agencies, and enterprises that cannot afford fragile prototypes. Strategy, model engineering, GPU infrastructure, controls, and production operations are delivered as one accountable practice.
We prioritize projects where AI improves safety, access, service quality, productivity, or risk control. Capability is evaluated against business value, operational risk, and social impact before build work begins.
Systems are designed for the channels people already use, including WhatsApp, Telegram, web, voice, Bahasa Malaysia, English, and Chinese.
Production deployments use verified knowledge sources, observability, human oversight, security review, and practical evaluation instead of demo-only claims.
We build AI to strengthen human judgment, not replace accountability. Every system is designed around people: customers, operators, compliance teams, analysts, and leaders who remain responsible for the final decision.
Users must know when AI is involved, what it used, and when a human can review or override it.
Outputs are explainable enough for managers, risk owners, and auditors to challenge them.
Language, channel, accessibility, and cultural context are treated as production requirements, not optional extras.
When confidence is low, consequences are high, or policy requires review, the workflow escalates to a person.
Enterprise knowledge made available through WhatsApp, Telegram, Messenger, and web interfaces. Designed for multilingual access and governed answers.
Open demoDetect and trigger operational events from any camera, then report through any channel, including WhatsApp. Built for surveillance, safety, facilities, and field operations that need real-time escalation.
Real-time translation across 70+ languages with native-accent speech output. Designed for service teams, multilingual operations, public counters, and cross-border customer support.
Voice bots, real-time transcription, sentiment detection, agent copilot support, and after-call automation for modern service operations.
Enterprise voice AI that connects to SIP-compatible phone systems and existing PABX infrastructure for inbound calls, routing, escalation, and customer enquiry handling.
Visit siteA free community tool that analyzes suspicious messages, phone numbers, and links for fraud indicators.
Open toolAI media detection for images and videos, with confidence scoring and analysis designed to help teams evaluate whether content is generated or authentic.
Try betaA real-time public mission tracker for NASA's Artemis 2 journey, viewed roughly 150,000 times worldwide and referenced by NASA staff.
Open trackerA private daily briefing product with no accounts, no tracking, and no ads. Built around controlled personalization and disposable browser identity.
Read briefingsWorkflow automation, decision support, knowledge assistants, predictive analytics, and production application integration.
VAI turns ordinary camera feeds into monitored operational events with controlled escalation to WhatsApp, dashboards, or service teams.
SalamAI enables speech translation across 70+ languages with native-accent delivery for multilingual customer and field operations.
Voice bots, call transcription, sentiment analysis, agent copilots, SIP/PABX integration, and omnichannel customer support.
Object detection, document AI, safety monitoring, quality inspection, visual verification, and live video analytics.
We combine software engineering, applied AI research, controls thinking, and hardware operations so enterprise teams can move from advisory decks to working systems without stitching together multiple vendors.
Private and on-premise patterns for workloads that cannot be sent to public services.
Independent security support, including code review, LLM security review, and penetration testing.
Evaluation, monitoring, model governance, and support practices are built into delivery.
AI recommendations are designed with approval paths, exception handling, and accountable human decision points.
Bring the workflow, risk, customer experience, or infrastructure constraint. We will map the practical path from evaluation to production.