Capability ignition for high‑compliance enterprises

Turn every team into builders.
Break the bottleneck.

We build internal AI multipliers through focused missions that ship into production.

High‑compliance delivery Outcome‑based milestones Deployable > demos AI-First‑ready interfaces Small teams, high tempo
The engine

The Spark-to-Scale Loop

A repeatable flywheel: ignite builders → ship for real → spread the fire.

DoD 2026 alignment

Alignment with DoD 2026 AI-First Strategy

  • AI‑first doctrine → We change the operating model: capability delivery, not R&D side quests.
  • Pace‑setting projects / monthly demos → Capability boards + acceptance criteria tied to outcomes, not decks.
  • Model velocity (~30 days) → Model Velocity Pipeline: eval harness, wrappers, swap‑ready architecture, evidence packs.
  • AI-First interfaces mandatory → Interface‑first discipline: contracts, tests, explicit dependencies, replaceability.
  • Builders over administrators → Ignition cohort + mentorship diffusion engine; Pod guidance, not dependency.
Missions
Deployable Mission Briefs

Decision Copilot for Ops Floor

Why: Reduce update → decision cycle time.

Ships: Copilot embedded in the workflow with citations.

operator‑facingAI-Firstsecure delivery

Autonomy Dev Loop in Weeks

Why: Make autonomy behaviors testable and promotable.

Ships: Nightly sim CI + signed performance reports.

model velocityAI-Firstsimulation CI

Sim‑to‑Ops Feedback Bridge

Why: Convert ops telemetry into updated scenarios and tactics.

Ships: Ingestion + scenario generator + dashboard.

ISRAI-Firstsecure enclave

Repo‑to‑Release Pathway

Why: Stop tickets from being the work.

Ships: Dev box templates + approvals lane + CI patterns.

secure deliverypolicy‑as‑codemodel velocity

AI‑EVM Assistant

Why: Compress earned value reporting under audit constraints.

Ships: Explainable outputs + audit trails in PM tooling.

program opsauditoperator‑facing

30‑Day Parity Drill

Why: Prove safe model upgrades within 30 days.

Ships: Upgrade runbook + evidence pack.

model velocityAI-Firstevidence
Outcomes

Quantified. Honest.

  • Time‑to‑first deployable capability → 8–12 weeks.
  • Deployment frequency increases → weekly cadence becomes normal.
  • Adoption by real users → measured in WAU and task completion.
  • Internal multipliers created → cohort grads who mentor the next wave.
  • Blocked time reduction → access/security/approval queues shrink.
Engage

Three ways to start

See full engagement design

Ignition Cohort

8–12 weeks. One mission. Ship deployable capability. Create internal builders.

flagshipweekly demosplaybooks

Model Velocity Pipeline

Install the evaluation, wrappers, and evidence packs to upgrade models on a ~30‑day cadence.

~30 daysevidence packsswap‑ready

Wildfire Year

12 months. Multiple cohorts. Institutionalize the flywheel across programs.

multiple wavescapability boardsdiffusion

Non‑negotiables

  • 100% cohort focus for the sprint window.
  • Executive sponsor with unblock authority.
  • Secure environment with a real path to production.
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