Titan AI &
Orchestration
Titan: models, context and workflows in one platform.
Titan brings chat, planning, project information and controlled actions into application work. It connects model capabilities with the software, data and execution environment needed to turn a request into useful work.
Bring your own keys. Connect supported model providers using customer-owned keys. Select the providers and access appropriate to the deployment, with model charges and included services defined in the commercial scope.
Context that stays useful. Retrieve relevant project information, plan tasks and record results so developers can follow the work across a longer project.
Automation with defined authority. Connect actions to permissions, review and deployment controls. DESIGNA builds the platform and integrations around the models; customer-affecting work follows the controls agreed for that environment.
Our focus is innovative kernels, integrated software and useful execution. We do not need to train a frontier foundation model from scratch to deliver customer value.
01 // CHAT WITH APPLICATION CONTEXT
Titan connects AI chat, task planning, and project information with application development. Andrew used advanced AI models extensively to build the Antigravity Kernel as a solo architect. He directed code generation, tested debugging hypotheses, reviewed changes, and verified the integrated system. That experience shapes how Titan brings AI assistance into software work.
02 // PLANS AND REVIEW
Planning breaks a request into tasks a developer can inspect. Specialized agents can contribute research, code, or media work. Tests and review connect those contributions to a release decision. The aim is to increase the amount of useful work a developer can direct while retaining control over changes.
03 // AI AND GPU RESEARCH
Andrew’s GPU software work includes JAX and Pallas, JAX’s language for custom GPU and TPU kernels. His independent R&D connects cloud model training with local GPU inference. A media prototype combines image generation, upscaling, speech recognition, OCR, and PyTorch orchestration. This work connects hardware experience with the programming and integration demands of AI applications.
04 // RETRIEVE RELEVANT INFORMATION
Document retrieval brings selected project information into an AI conversation. Developers can reference material beyond the current message and connect an answer to its source. Maintaining that context is central to useful assistance over a longer project. Important decisions still need review against the underlying records.
05 // TASKS WITH DEFINED ACCESS
Titan’s task tools connect requests with execution records and access controls. The intended use includes development, research, and media work. DESIGNA develops the application software and integrations; connected AI models may come from third-party providers. Each integration requires its own permissions and validation. Confirm supported models, included usage, provider charges and any customer-owned API-key requirements for your deployment. A product demonstration should show the request, the permitted action, the result, and how failures are handled.
