Operator-grade AI systems for high-stakes operations.
We build instrumented production AI systems for critical operations, risk, and decision support. Every release ships with metrics, evals, and a human override.
KPIs, eval harnesses, and telemetry ship with the first slice.
Circuit breakers, human-in-the-loop fallbacks, and audit trails baked in.
Principals stay on the project; no handoff to a shadow team.
circuit breakers, canaries, replay
one primary action, always overridable
evals, dashboards, and alerts land with the first release—not version two.
We are a hands-on group of physicists, computer scientists, AI researchers, software engineers, and mathematicians who ship working systems, not slideware. We model the core of your process, instrument it end to end, then deliver production AI that moves the P&L.
- Physicists: first-principles modeling and measurement so decisions rest on signal, not vibe.
- Software and systems engineers: robust, scalable services that integrate cleanly with your stack.
- AI researchers and mathematicians: modern retrieval, optimization, and learning methods tuned for your data and constraints.
- Single mission: convert deep theory into practical leverage that compounds.
Operator-grade results need principals who can model, build, and harden end to end—no handoffs, no slideware.
AI should produce measurable advantage, not maintenance burden. Our vision is simple: make intelligent systems that cut cycle times, reduce unit costs, improve quality, and unlock new products. If a tool does not achieve a proven business delta, we do not ship it.
Everything stays anchored to cycle time, unit cost, and quality so effort turns into business delta, not theater.
We run a fast, testable loop so value shows up early and grows.
- Diagnose: map the value stream, pick the KPIs, set baselines.
- Design: choose the minimal architecture that can win—observable and simple.
- Deploy: ship a production slice with evals and human-in-the-loop controls.
- Compound: iterate on real data, expand automation, retire complexity that does not pay.
Short loops prove lift early and surface fat-tail failure modes before they become incidents.
We build with proven primitives: retrieval over your private data, compact fine-tunes where justified, differentiable programs for simulation-grade tasks, and strict observability. Everything is vendor-aware but vendor-agnostic, with security, privacy, and governance designed in. Integration uses clear APIs and message buses you already run.
- Retrieval over private data with freshness checks and lineage.
- Compact fine-tunes and differentiable programs where they beat prompts.
- Security, privacy, and governance designed in with full observability.
Observable primitives your teams know mean faster security review and a smaller blast radius in production.
Most teams leave value on the table because they lack a clear, measurable plan. We deliver one quickly.
- Streamline operations: automate repeatable workflows with auditable fallbacks.
- Enhance customer experience: faster, more accurate responses with traceability.
- Mine data for decisions: turn messy text and logs into ranked, actionable insights.
A focused, KPI-tied plan turns AI from maintenance burden into measurable P&L impact.
Our engagement model is collaborative and transparent.
- Discovery workshop: align on goals, constraints, and success metrics.
- Pilot build: ship one production workflow with evals, dashboards, and admin controls.
- Scale-up: expand coverage, harden SSO, billing, and governance, and train your team to own it.
Clear stages and shared dashboards keep stakeholders aligned and de-risk budget, governance, and rollout.
We ship in a loop that stays accountable to the P&L.
Frame the decision, data reality, and failure modes with the operators.
Select the smallest architecture that can win; prefer observable, testable parts.
Ship a production slice with evals, dashboards, and human override.
Expand coverage, prune complexity, and tune on live signals.
Clear loops you can point at.
We keep the architecture visual: observe → evaluate → act → audit. You see every handoff and safeguard.
Connectors, retrieval, freshness checks, and lineage you can inspect.
Evals, canaries, circuit breakers, and staged rollout by cohort.
SSO, roles, audit logs, privacy filters, and cost controls from day one.
You work with the principals, not a relay team.
Reliability, performance, and integration with your stack.
- SRE rigor
- APIs that stay stable
- On-call with you
Retrieval, optimization, and evaluation tuned to your data.
- Fat-tail aware models
- Red-team + test
- Safe defaults
Keeps KPIs, stakeholders, and rollouts aligned.
- Decision owner on every call
- Training + adoption
- No handoffs
Book a strategy session. Bring a messy workflow; leave with a plan.
We will map the decision, identify the fattest tails, and propose a first slice with KPIs, evals, and safeguards. No sales theater.
- Pick one workflow and define the primary decision + guardrails.
- Outline the first production slice, data paths, and rollout plan.
- Agree on KPIs, evals, and how we will prove lift.