Diskarte
日本語 Apply as a Design Partner

Organizational Runtime

The Organizational
Runtime.

AI made execution fast. Diskarte keeps the organization coherent — constitutional governance, memory, and judgment, so autonomy can grow safely.

Explore the Runtime Explore the Architecture

The problem

Where AI fails inside organizations

01 · Context

Tools know tasks. They do not know the organization.

AI drafts, summarizes, and executes — without knowing why the work matters, who holds authority, or which constraints cannot be violated.

02 · Judgment

More output creates more undelegated judgment.

Without governed escalation, acceleration is noise — pushing more cognitive load onto exactly the person it was meant to relieve.

03 · Memory

Organizations keep relearning what they already knew.

Decisions lose their rationale, projects lose context, and understanding is rebuilt every time people, tools, or priorities change.

Assistants, agents, and retrieval systems each address a symptom. None owns the organization’s authority, judgment, or memory.

The missing layer

Between the organization and its execution machinery

What is missing is not a better agent. It is constitutional authority, organizational memory, judgment, delegation, and governance — a runtime between the organization and interchangeable execution machinery.

Agents and models may operate inside Diskarte. They are not Diskarte. Diskarte is the runtime around them.

Product reality

What an organization actually touches

Five surfaces, honestly labeled. Statuses follow one vocabulary across everything Diskarte publishes.

The Morning Brief

The founder’s day starts from a synthesized brief: what needs judgment now, and what can safely wait. Every line is cited — the composer refuses ungrounded items.

Implemented

Why it exists: the scarce resource in an AI-fast organization is founder attention, so the product spends machine cycles to conserve it.

Morning Brief · synthesized 06:42

Two decisions need you. Four items can safely wait.

Needs you now

Proposal awaiting adjudication — grounded in 3 canonical artifacts
WorkOrder evaluation: accept or revise — dissent preserved

Can safely wait

Fulfillment in progress — local model pulling
2 observations entered memory overnight
Blind spot named: no evidence for spend approvals
Product schematic — not a screenshot

Organizational Memory

Memory is an epistemic state, not a filing cabinet. The organization can always answer what it observes, believes, and knows — and what it cannot yet see.

Implemented

Why it exists: a memory that cannot distinguish belief from knowledge — or name its own gaps — will eventually govern from fiction.

Memory · six honesty strata

What we observe evidence, with provenance
What we cannot yet see named blind spots, above the fold
What history claims reconstructed, marked as claims
What we believe justified, confidence-carrying
What we know canon — ratified by a human
What we want to ask ranked by information gain
Product schematic — not a screenshot

Organizational Judgment

Two governed loops — over executed work and over candidate beliefs — both terminating in a human ruling. The interface never pre-selects a disposition; “accept all” does not exist.

Implemented

Why it exists: judgment is distinct from memory, and delegating it silently is how organizations drift.

Judgment · ruling required

Candidate belief: “support burden is concentrating in onboarding” grounded in 4 artifacts · standing: contested
RatifyRejectPark with trigger
Product schematic — not a screenshot

Governed Practices

Adopting a capability is hiring a profession, not installing a plugin: it arrives with standards, defers to your law, and earns standing through judged work.

Implemented

Why it exists: professional knowledge should be distributable while how your organization works remains yours alone.

Practice · install is a ruling

Capability package portable knowledge · declares abstract requirements
Your Practice the organization’s sovereign derivation — diverges freely
Precedent judged work accrues; corrections decay repeats
Product schematic — not a screenshot

Greenfield onboarding

From a setup code to a governed organization: claim, sign in, answer a few questions, review grounded recommendations, and activate. One truth owner per step, and no step trusts another’s assertion.

Implemented public deployment founder-gated

Why it exists: legitimacy, identity, and authority are three different proofs — the ceremony keeps them that way.

Onboarding · profile recommendation

Local — recommendedthis machine can serve cognition on-device
Diskarte Managed — viableorg-owned appliance, an adjudicated residency choice
Air-Gapped — not yet availableoffline fulfillment awaits a deferred ruling
Product schematic — not a screenshot

Governance enables autonomy

Nothing governs until a human ratifies it

Evidence is partial. Inference is contestable. Only ratified canon governs — and everything downstream of a ruling should be automated. Human judgment is spent exactly where judgment is genuinely required.

Intelligence proposes. Governance disposes. Humans remain the source of canonical authority.

Evidence is not truth, and evidence is not canon.

The runtime builds the strongest justified model from evidence — and nothing governs until a human ratifies it into canon.

Two ways in, one destination

Greenfield and Brownfield converge

New organizations answer questions. Existing organizations import their digital exhaust — honestly, with named blind spots. Both paths feed one advisory engine and pass through the same governed door.

The evidence source differs. The destination does not.

Substrate

Execution without infrastructure lock-in

Practices declare abstract capability requirements. Governed bindings decide what serves them. The constitution can never contain a vendor or model name — the schema refuses it.

Local Implemented

On-device only. Nothing leaves the boundary — the sovereignty default.

Diskarte Managed Implemented production deployment pending

An org-owned appliance on Diskarte-operated compute — an explicit, adjudicated residency choice.

Hybrid Architecturally Complete

Local plus cloud APIs under your own keys, split by sensitivity class.

Cloud Architecturally Complete

Your infrastructure, your endpoints, your credentials.

Air-Gapped Planned deferred by ruling

Local only, with offline fulfillment via signed bundles — deferred by a recorded ruling, shown honestly as unavailable.

Requests address capabilities, never models.

Provider and model identity are recorded as provenance on produced work — never embedded in organizational knowledge. Replacing a provider never changes what your organization knows how to do.

Built and coming next

Where Diskarte actually is

One status vocabulary, applied everywhere. Implemented means built, committed, and proven through verification — it does not imply deployment.

Built

  • Constitutional kernel & governed work loop Implemented
  • Identity, membership & sessions Implemented
  • Morning Brief & Organizational Memory Implemented
  • Deterministic Organizational Judgment Implemented
  • Brownfield bundle import & healing Implemented
  • Desktop claim ceremony & Environment Report Implemented
  • Substrate adoption path & execution provenance Implemented
  • Managed appliance control plane Implemented
  • Internal Operations Platform Deployed · Internal Dev

Next

  • Founder dogfooding as Organization #1 Planned
  • Product UX refinement & visual onboarding Planned
  • Public installation & distribution Planned
  • Production Managed deployment Planned
  • Hosted Runtime Planned
  • Broader advisory recommendations Planned
  • Catalog & Foundation library Planned

Later

  • Publisher ecosystem Vision
  • Marketplace Vision
  • Broader connectors Vision
  • The organizational operating-system evolution Vision

Zero external organizations have used Diskarte yet, and production Managed deployment has intentionally not happened. The current focus is dogfooding, UX, distribution, and first deployments.

Portrait of Margaux Flores, founder of Diskarte

Founder

Margaux Flores

Founder & Principal Engineer

I spent years building software inside growing organizations — including Mercari, bitFlyer, and Tailor — modernizing production systems and shipping product as a frontend and product engineer across international, distributed teams.

The technical systems kept getting faster and more capable. The organizational context around them stayed fragmented: decisions lost their rationale, authority lived in people’s heads, and every new tool created another partial view.

Diskarte began as an attempt to make that missing layer explicit.

Read the full story →

Help shape the first Organizational Runtime.

Diskarte is entering founder dogfooding and design-partner validation. We are looking for technically serious organizations willing to test how governance, memory, and judgment should work when AI becomes part of the operating environment.

Alpha signup opens shortly.

The list is not accepting submissions yet. We would rather show you nothing than a form that quietly drops your address.