Probe
We read the problem until it stops being vague: constraints, data, users, and the failure modes nobody mentioned.
Spec: constraint matrix · failure modes · schema boundaryWe build software across whatever domain the problem lives in: agents, real-time 3D, data systems, products, automation. Everything you see behind this text is running live on your GPU, made of the same thing we ship.
The lines of code you just scrolled past have been compiled into the object on the right. Its shape is set by the parameters in this editor. Drag any orange number (or focus it and use the arrow keys) and roughly fifty thousand vertices re-form on the GPU in the same frame.
import { compile } from "@hdt/forge";const artifact = compile(source, {frequency: 1.60,amplitude: 0.34,twist: 0.80,turbulence: 0.22,heat: 0.65,});artifact.render(world); // you are looking at it
Beautiful is easy for a week. We engineer for what happens next: traffic spikes, dead nodes, slow dependencies. Below is a small distributed system simulated in your browser. Surge the traffic, click any node to kill it, and watch it reroute, queue and scale.
Simulation. Time is compressed; numbers describe this model, not a client system.
We don't pick a niche and wait for it to fit the problem. We go where the problem is. Recently, that has been here:
Multi-agent systems with memory, tools and guardrails that do real work, not demos. Deployed orchestrations managing automated research, triage, and multi-model synthesis pipelines.
WebGL, shaders and 3D experiences, like the one under this page. High-density GPU particle systems, custom post-processing pipelines, and 60 FPS interactive visualizers.
Pipelines, APIs and back-ends sized for the load they will actually see. Sub-10ms transactional endpoints, resilient queue fabrics, and zero-loss streaming architectures.
Web and mobile applications with a studio's craft and a platform team's discipline. Full-lifecycle systems with automated regression test gates and sub-second cold starts.
Internal tools and workflows that turn hours of manual operations into a scheduled job. Resilient headless scrapers, sync jobs, and webhook-driven event engines.
Code indexes, CLIs and registries that make other engineers faster. AST symbol graphs, capability catalogs, and CI linting harnesses deployed across client codebases.
We read the problem until it stops being vague: constraints, data, users, and the failure modes nobody mentioned.
Spec: constraint matrix · failure modes · schema boundarySomething real, fast. A working spike settles arguments a slide deck can only start.
Artifact: vertical spike in production runtimeTypes, tests, load, observability. The unglamorous part, done on purpose and early.
Verification: invariant fuzzing · chaos checks · p99 SLAsAutomated pipelines, staged rollouts, deploys you can reverse in one command.
Delivery: progressive canary · single-command rollbackSoftware is alive after launch. We instrument it, watch it, and keep it evolving.
Telemetry: distributed tracing · SLO alarms · auto-healingTell us what you want to exist. We'll reply with how we would build it.