Software platforms
Custom platforms, internal tools and deployment pipelines your team can rely on every day. Our own product, deploy-hub, ships Django and Node applications with human sign-off on every sensitive change.
How we build →Most software is tested by its users. Ours is tested before you ever see it. Dynamic Tech & Design designs, builds and verifies trading algorithms, AI models, secure infrastructure and the software that ties them together.
Founded in 2013 in Taichung, Taiwan, Dynamic Tech & Design is a software engineering studio. We work where mistakes are expensive: money moving through a trading strategy, decisions made by an AI model, data leaving a network. In those places, "it worked in the demo" is not good enough.
So we work the way safety-critical teams do. Every system is designed on paper before it is coded, built in isolated containers under version control from the first commit, and checked by someone who did not write it. Only then does it ship, with monitoring already watching.
You get one team across the whole stack: the software platform, the AI inside it, the trading logic on top of it and the security around it. No hand-offs between agencies, and no gaps between them.
Independent review and automated checks on every release, not only the first one.
Built to run on your servers or private cloud. No lock-in and no black boxes.
Design, build, verification and support from the engineers who know your system best.
Each discipline stands on its own, and they are stronger together. An AI model needs secure deployment, a trading strategy needs reliable software, and all of it needs to be verified.
Custom platforms, internal tools and deployment pipelines your team can rely on every day. Our own product, deploy-hub, ships Django and Node applications with human sign-off on every sensitive change.
How we build →Systematic strategies designed from your idea or ours, backtested on point-in-time data, and run with risk limits enforced in code.
Trading algorithms →Models trained and fine-tuned on your data, evaluated before release, and built into real products: assistants, agents, search and automation.
AI engineering →Hardening, egress control and audits for infrastructure and AI systems. We find out what your systems really send out, and make sure only approved traffic leaves.
Cybersecurity →For traders, prop desks and funds. Bring an idea, a rule set or an existing strategy. We turn it into precise, testable code, prove it on history without hindsight, and run it with limits it cannot break.
Describe a strategy in plain language or hand us existing code. We turn it into logic that can be tested line by line.
Point-in-time data and no lookahead, so results reflect only what was knowable at the time.
Position size, drawdown and loss limits are enforced by the system, not by willpower.
Alerts are replayed against history before they go live, so false alarms are caught before they reach you.
For companies that want AI working inside the business, not only in a demo. We train and fine-tune models on your data, measure them honestly, and build the software that puts them in front of your users.
Models adapted to your domain and your data, with every experiment tracked and reproducible.
Each model is tested on held-out data and real tasks before launch, and monitored after.
Assistants, agents, retrieval and automation designed as dependable software with clear limits.
Self-hosted or private-cloud deployment, with tight control over what data the model sees and where it goes.
For teams running sensitive systems, including AI agents that can reach the internet. We find out what your systems really send out, then lock it down at the network level.
Outbound traffic is restricted to an approved list and enforced at the packet layer, where applications cannot route around it.
Containers, networks, secrets and access are configured to deny by default.
We trace real network behavior, including telemetry and endpoints that the documentation leaves out.
Agents get only the tools and network access their job needs, and every call is logged.
Four stages, separate roles for building and checking, and the same discipline on every project, large or small.
We map the system, the risks and the decisions before writing code, and record why each decision was made.
Developed in isolated Docker containers under git from the first commit, so every change is traceable.
A reviewer who did not write the code tries to break it, and automated checks run on every change.
Released with a rollback plan and monitoring in place. We stay on to maintain and improve it.
A defined scope with clear deliverables, milestones and a fixed review at each stage.
Our engineers join your team for an ongoing product, AI or trading-systems effort.
A security audit, an AI readiness review or an independent review of a trading strategy.
Tell us what you need to build, train, trade or secure. We read every message and reply with a clear next step, not a sales deck.