ABOUT DEVIEW
We build AI that does the work — not AI that answers questions about it.
DeView is an AI consulting and engineering firm with teams in Hong Kong, Vancouver, Edinburgh, and Stuttgart. We work with operations and finance teams at mid-market and enterprise companies to build AI systems that reduce manual work, cut operating costs, and automate repetitive workflows.
We focus on practical outcomes: specific processes that are currently costing time or money, automated and connected to the systems already in use. Not demos. Not roadmaps. Working systems, deployed in weeks.
What we are not
A large consulting firm that subcontracts to junior developers
A software vendor selling a pre-built platform
An agency that builds a demo and calls it production
A team that disappears after handover without documentation
A firm that charges retainers before proving value
An AI chatbot wrapper with a consulting label on top
How we work
WORKING SYSTEMS ONLY
We do not do slide decks, proof-of-concepts that never go live, or tools that need a separate team to maintain. Everything we build is deployed into production — connected to real data, running real workflows.
OUTCOME BEFORE ARCHITECTURE
We size the cost of the problem before we design the solution. If the ROI isn't clear before we start building, we don't start building.
YOUR DATA STAYS YOURS
Every deployment lives in the client's environment. We do not operate shared AI platforms or store client data in DeView infrastructure. You own the system we build.
HUMAN JUDGMENT STAYS IN PLACE
AI handles volume. Humans handle exceptions and high-stakes decisions. Every DeView system includes a clear escalation path — the AI flags; your team decides.
Technical expertise
LLM Integration
OpenAI, Anthropic Claude, Google Gemini, Llama 3, Mistral
Retrieval-Augmented Generation
Vector stores, semantic search, document ingestion pipelines
Document Processing
PDF extraction, OCR, classification, structured data output
Enterprise Integrations
Salesforce, HubSpot, SAP, Oracle, SQL databases, Slack, SharePoint
Data Engineering
ETL pipelines, data transformation, scheduled batch processing
MLOps
Monitoring, drift detection, evaluation pipelines, retraining workflows
Compliance Architecture
GDPR, PDPO, MAS TRM, HKMA — audit trails, data residency
Deployment
Cloud (AWS, GCP, Azure), on-premises, hybrid for regulated environments
Based in
Hong Kong · Vancouver · Edinburgh · Stuttgart
Serving clients across Asia-Pacific, North America, and Europe
Clients
Mid-market to enterprise
Operations, finance, and compliance teams
Industries
Lending · Insurance · Legal · Financial Services
Professional Services · Property
Have a workflow you want to automate?
Describe the process. We reply within 1–2 business days with a specific, scoped recommendation.