AI engineering and software across sectors.

Customer and digital platforms

1. Website and product experience

   Website and product experience

   A clearer website and customer journey for the markets you want to reach.

   Available by engagement

   Refresh your company website and digital product around what customers need to understand and do. We design clear product explanations, onboarding and mobile customer journeys for the markets you plan to serve.

   Scope multilingual content and localization, accessible responsive implementation and a CMS your team can manage. Prototype account and customer-portal flows, connect the required systems and define analytics to guide improvements.

   • Company websites
   • Product UX and UI
   • Multilingual content
   • Mobile and accessible design
   • CMS and content governance
   • Onboarding and customer portals
   • Analytics and improvement
   • Implementation and handover

   Related project experience

   • LoanQuest websiteFinancial-product communication, eligibility information and an application journey for a lending website.
   • RQ Opsian Hotels guest websiteThe guest-facing website and direct booking experience described in the hospitality programme's case study.

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2. Secure communication platforms

   Secure communication platforms

   Messaging and customer experiences designed around privacy and access.

   Available by engagement

   Develop communication and customer platforms around the people and information allowed to use them. We scope identity, onboarding, access controls, retention and integrations for each product.

   Explore a new messaging, community or customer experience through research and prototypes. Encryption design, key management and security review follow the requirements of the production system.

   • Private messaging
   • Identity and access
   • Encryption design
   • Customer portals
   • Community and engagement
   • Product prototypes

   Related project experience

   • Digital currency and payment systems experienceResearch, system design and prototype work across digital-currency payments, private messaging and product experience.

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3. Digital asset applications

   Digital asset applications

   Application software for wallets and tokenized asset workflows.

   Available by engagement

   We design customer interfaces and operating tools for digital asset and Web3 products, including wallets and tokenized assets. Connect blockchain data and transaction histories to the systems your teams already use.

   An engagement can cover noncustodial wallet interfaces, stablecoin payment connections, tokenized asset administration, redemption requests and governance tools. Provider and token support, custody responsibilities and permissions are agreed for each integration.

   • Stablecoin and token-economy design
   • Wallet interfaces
   • Blockchain data
   • Token and stablecoin workflows
   • Payment provider adapters
   • Redemption requests
   • Governance and reporting
   • Transaction automation

   Related project experience

   • Digital currency and payment systems experienceResearch, system design and prototype work across digital-currency payments, private messaging and product experience.

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4. Software Development

   Software Development

   Web platforms, mobile apps and internal tools, built by the team that builds the AI behind them.

   Design and build web and mobile applications, customer portals, marketplaces and internal business systems. We develop new products or improve the platforms your teams already use.

   Start with product discovery and a prototype, or commission a defined implementation. Delivery can include experience design, APIs, integrations, migration, testing, documentation and ongoing support.

   • Web platforms and portals
   • Mobile applications
   • Internal tools and dashboards
   • Product design
   • Multilingual interfaces
   • Quality and delivery
   • Review and approval interfaces

   Related project experience

   • LoanQuest websiteFinancial-product communication and application experience for a lending website.
   • RetroKickz and Retro LoanzSpecialty asset records and transaction workflows, with the project scope described in the case study.

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5. Automation and Integration

   Automation and Integration

   Systems that talk to each other, so work moves without re-keying.

   In most operations, the same information is typed into several systems by hand. A booking is keyed into one system and again into accounting, a new employee is set up in several places, and a spreadsheet sits between two systems that were never connected. Automation and Integration removes that work.

   We connect systems through adapters behind one stable interface, so replacing a vendor means writing a new adapter rather than rebuilding every connection that depended on the old one. Every integration is built to fail safely: a message received twice is applied once, failed messages are retried and can be replayed, and someone is alerted when a sync stops.

   • PMS, ERP and CRM integration
   • APIs and middleware
   • Process automation
   • Reliable sync
   • Legacy system modernisation
   • Audit and reversibility
   • Small-business AI automation

   Related project experience

   • Finance, HR and operations suitesMulti-entity records, approvals and reporting across business functions.
   • Guest Inbox and LINE ConciergeGuest messaging, staff handoffs and hotel operations in the RQ Opsian Hotels programme.

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AI and data

1. AI assistants and language models

   AI assistants and language models

   AI assistants that help customers and staff complete the work.

   Build AI assistants for customer support, guest services and internal operations. Connect voice or chat to approved company knowledge and the systems that hold the records.

   An engagement can include document extraction, case summaries, staff knowledge tools and task routing. We define permissions, evaluation and handoffs so people can review consequential actions.

   • Private LLM deployment
   • Retrieval over company knowledge
   • Fine-tuning
   • Evaluation
   • Guardrails and usage policy
   • Model routing

   Related project experience

   • BrowQueen voice agent and academyCustomer conversations, appointment workflows and an education platform.
   • Guest Inbox and LINE ConciergeGuest messaging, staff handoffs and hotel operations in the RQ Opsian Hotels programme.

   Discuss this service

   Technical detail on opsiantechnologies.com

2. Data Intelligence

   Data Intelligence

   One live picture of the operation, built from the data it already produces.

   Most operations already produce the data they need. It is spread across operational systems, finance software, spreadsheets, booking channels and devices, each with its own definition of a customer, a unit or a sale, and much of it arrives as last night's export. Data Intelligence brings it together into one live picture.

   We build pipelines that capture changes as they happen, a canonical model that gives every system the same definition of the things that matter, and a warehouse where history is kept and each metric is defined once. Events carry identifiers rather than personal details wherever possible, so analysis does not become a privacy problem.

   • Data pipelines and integration
   • Canonical data model
   • Warehousing and modelling
   • Dashboards and reporting
   • Forecasting and anomaly detection
   • Data quality and lineage

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   Technical detail on opsiantechnologies.com

3. Data Centers

   Data Centers

   Compute for AI workloads, planned, built and operated where the data has to stay.

   Some workloads cannot go to a public cloud. The data is regulated, residency rules keep it in the country, responses have to be local, or running models at volume costs less on owned capacity than on rented. This service is for those cases.

   We plan capacity from the workload rather than from a catalogue: which models, of what size, serving how many requests, with what failover. Then we design and build the compute, GPU, networking and storage to match, whether it sits on premise, in a colocation facility or across a hybrid cloud.

   • Capacity and GPU planning
   • Colocation and hybrid cloud
   • Networking
   • Storage
   • Monitoring and operations
   • Resilience and recovery

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   Technical detail on opsiantechnologies.com

Security and compliance

1. AI Defense

   AI Defense

   Protection for the AI systems you run, and AI that helps find the threats against everything else.

   Once a language model can read company documents and call tools, it becomes part of the attack surface. A crafted message can steer it, a loose permission can let it reveal data it should never show, and an unwatched endpoint can be put to uses nobody approved. AI Defense closes those gaps before launch and keeps them closed after it.

   We design AI systems so that every model call passes through one governed layer: scoped to the user and the task, with writes gated, sensitive data redacted and every call logged. Then we test them the way an attacker would, and monitor them in production for injection attempts, unusual usage and departures from policy.

   • Prompt injection protection
   • Data leakage prevention
   • Model abuse controls
   • Red teaming
   • AI governance and monitoring
   • AI-assisted threat detection

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2. Cyber Security

   Cyber Security

   Security for the systems that hold identities, payments and operational data.

   Operations that handle passports, patient records, card payments and door access are worth attacking. Cyber Security covers the systems that hold that data, from the architecture they are built on to the people who can reach them and the response when something goes wrong.

   We start by finding out what is actually there: which systems hold sensitive data, who has access and why, where credentials are kept and what is logged. Findings are ranked by risk and fixed in order, with least-privilege access, managed secrets, separation of duties and audit logging built into the systems rather than documented beside them.

   • Security assessments
   • Identity and access control
   • Secrets and encryption
   • Monitoring and incident response
   • Secure architecture review
   • Vendor and supply chain security

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3. PDPA Compliance

   PDPA Compliance

   Compliance with Thailand's Personal Data Protection Act that can be proven, not only documented.

   Thailand's Personal Data Protection Act applies to organisations in Thailand, and to many outside it that offer goods or services to people in Thailand or monitor their behaviour there. For operations that handle passports, faces, health records or payment details, a privacy policy is where compliance starts, not how it is proven.

   PDPA Compliance treats data protection as a property of the systems rather than a document beside them. We map where personal data enters, where it is stored, who can reach it and where it goes, then build the controls that close the gaps: consent captured before collection, retention enforced, requests from individuals handled and every access logged.

   • Data mapping and gap analysis
   • Consent management
   • Retention and deletion
   • Data subject requests
   • Audit trails and access logging
   • DPO support

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Advisory and operations

1. Consulting

   Consulting

   Advice for leadership teams on what to build, what to buy and what not to automate yet.

   Most AI programmes stall for reasons that have little to do with models. The data only exists as a nightly export, nobody has written down what the system may decide, or no one can explain a decision once it is challenged. Consulting helps leadership teams find those gaps before they commit budget to a build.

   Every engagement starts with an audit. It asks four questions, none of them about AI: where the data originates, what decisions are made and on what evidence, where the operation fails today, and what must be reconstructable if a decision is challenged. The answers are delivered as a document you own and are free to take to another builder.

   • AI strategy and architecture
   • Build or buy decisions
   • Governance and risk
   • Executive workshops
   • Engagement scoping

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2. Auditing

   Auditing

   A structured examination of the operation, delivered as a document you own.

   Every Opsian engagement starts with an audit, and an audit can also stand on its own. It is a structured examination of how the operation actually runs: where its data comes from, who makes which decisions, where it fails and what it must be able to explain.

   It is built on four questions, none of them about AI. Where does the data originate, and is it reachable in real time or only as an export? What decisions are being made, by whom, on what evidence and how long does each take? Where does the operation fail today, how is failure detected and who absorbs it? What must be reconstructable if a decision is challenged?

   • Operations and AI readiness audits
   • Data audits
   • Security audits
   • Vendor and system reviews
   • Reconstructability review
   • Roadmap and business case

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3. Managed AI Operations

   Managed AI Operations

   We run what we ship, and keep it running after launch.

   An AI system is not finished when it launches. Its behaviour shifts as the data around it changes, providers release new model versions, costs move with usage, and the operation keeps changing what it asks of the system. Managed AI Operations keeps it working after the launch date.

   We run what we ship. Every system under management is monitored for availability, errors, response times and cost, and every model call is logged with the model used, its cost, its confidence and the outcome. Evaluation sets are re-run on a schedule and after every change, so drift is caught by a test rather than reported by a customer.

   • Monitoring and on-call
   • Model evaluation and drift
   • Updates and patching
   • Cost management
   • Incident management
   • Service level agreements
   • Audit reviews

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   Technical detail on opsiantechnologies.com