Technology
For operators and engineers who want the actual surface area—models, languages, runtimes, data, cloud, agent harnesses, and the enterprise systems we connect into. Not a vendor checklist. The stack we audit, architect, and execute with.
Multi-model by design. Harnessed for production.
We architect against model APIs and open weights—routing, evaluation, memory, tool use, and human-in-the-loop controls so intelligence compounds instead of becoming another brittle demo.
Systems languages where it matters. Scripting where it ships.
TypeScript and Python for product and agent surfaces. Rust and C++ when latency or native edges demand it. Bash and Linux for the glue that keeps pipelines honest.
Modern web stacks, not framework religion.
React and Next.js as the default commercial surface. Tailwind and HTML5 for interfaces that stay fast under real operating load.
Operational truth lives in the data plane.
Postgres as the backbone. Redis for hot paths. Managed SQL when velocity matters. Structured access layers where the estate needs them.
Shipable infrastructure with explicit failure modes.
Vercel and Cloudflare for edge delivery. AWS when the estate is already there. Docker, Kubernetes, Terraform, and GitHub Actions for the path from commit to production.
Intelligence that attaches to systems of record.
CRM, ERP, comms, and knowledge layers are usually the constraint. We map Salesforce, SAP, Slack, Notion, and adjacent suites into the architecture with permissions and auditability intact.
Have a stack already? We map it before we prescribe.
Bring the repo, the CRM, the model bills, and the friction. We will tell you what to keep, cut, and rebuild—then sequence the intelligence layer around what already works.
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