SAIL is a strike team. We design and build critical software and AI systems with two or three senior engineers per engagement, from architecture to deployment. Every dollar is engineering. Every engagement is on the keyboard.
Engagement shape
Weeks to first deploy
Technical debt
Capital to engineering
Validated outcomes
We used to spend months manually reconciling data. Now it happens instantly. In three months, this team built a clinical intelligence platform that cut our trial timelines by 36% . The clarity of AI insights is game-changing.
I've been in deep tech for 15 years, and this team is in a different league. Their precision and mastery were world-class. I almost want to gatekeep them for ourselves.
The strike team
Every seat is senior, IC7 and up. The engineers on your scoping call are the engineers who write the code.
Writes the architecture decision records and the data model in week two, then stays on the keyboard through handoff.
Builds the agent harness, the evaluation suite, and the verification loop that keeps model output grounded and auditable.
Owns the cloud, the CI that signs every artifact, the software bill of materials, and the on-call runbook you inherit.
What we believe
AI is a tool.
Trust is the discipline.
The work is the byline.
Production code.
Day one.
Critical systems.
Cool heads.
Field Intelligence
Engineering notes, research commentary, and lessons from production deployments.
View all logs
Compare AI-assisted delivery proposals through accepted scope, engineering experience, reusable software and total cost. A white paper from Standard Applied.
Read white paper
How SAIL runs isolated, multi-project AI coding agent environments on one $50/month bare-metal server with system containers, rootless Podman, and YAML.
Read log
Study notes on why LLMs give different outputs for the same prompt, even at temperature 0, and the batch-invariance fixes that make inference reproducible.
Read log