Forward-deployed strike teams. We design and build your critical software and agentic systems, from architecture to deployment. With taste and rigor.
Faster than traditional agencies
Capital to engineering
Talent floor
First deployment
Decades of tenure at platforms the world runs on. Now deployed in the most regulated stacks in the world.
Most enterprises run on 100+ disconnected tools. Fragmented data. Retrofitted AI. Workflows frozen by what each vendor will permit. The architecture is the bottleneck.
The Solution
Semantics, reasoning, surface. Each composable, each yours.
Every source: EHRs, claims, transactions, SKUs. One queryable graph modeled the way your domain actually works.
Agents that use recursive, code-based reasoning. A harness that is predictive, real-time, replayable. Built to be audited.
A unified workspace that adapts to the signal. Most cases auto-route in milliseconds. Edge cases route to humans with the audit chain attached. One surface, every decision.
Forward-deployed strike teams shipping AI-native, composable platforms to production. Healthcare, finance, and the public sector.
12 tools collapsed into one. Trial timelines cut 36%.
Six modules on a unified, AI-native control plane across the trial lifecycle. Authoring, review, and analytics with humans in the loop at every step that matters.
12 wk to first deployment · 36 wk to Phase 1 live
Digital phenotyping infrastructure.
Hardened mobile data collection, high-speed ingestion, and an Auto-ML baseline. Production-grade infrastructure for behavioral signals at scale.
13 wk to MVP · 4 milestones · ready to scale
Forward-deployed work needs its own stack, so we built one. Helios runs our agents. Sail provisions our dev environments. MIT-licensed, from the first commit.
Secure, sandboxed agentic runtime. Recursive language models that write code, run it in a live interpreter, then call themselves.
View on GitHubProvisions bare-metal servers and isolates AI coding agents in declarative dev environments. Blast radius: one container. Recovery: ninety seconds from a YAML file.
View on GitHubField Intelligence
Engineering notes, research commentary, and lessons from production deployments.
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Compare AI-assisted delivery proposals through accepted scope, engineering experience, reusable software and total cost. A white paper from Standard Applied.
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How SAIL runs isolated, multi-project AI coding agent environments on one $50/month bare-metal server with system containers, rootless Podman, and YAML.
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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