Cortexive
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Difficult systems, taken from architecture to cutover.

Cortexive is an independent engineering practice for complex digital systems and AI-enabled products. We take responsibility across architecture, UX, implementation, migration, validation and cutover under one accountable owner.

Our deepest specialization is AI and agentic engineering. It is not the edge of what we take on.

Discuss a complex system See the evidence

Founder-led by Dan Komsky · independent practice since 2025 · engineering since 1997

  • Where we take responsibility
  1. Frame
  2. Design
  3. Build
  4. Validate
  5. Cut over
  6. Evolve

Where Cortexive fits

Some systems are too consequential to split into architecture, implementation, migration, and operational handoffs. Cortexive can own the whole span—or the part that needs one accountable engineer.

  1. 01

    Complex product or platform engineering

    The product or platform is difficult enough that architecture, UX, implementation and operational consequences cannot be separated cleanly.

    We take responsibility across the span that the system actually requires, from framing the problem through a qualified cutover, without splitting architecture from delivery.

    Capabilities
  2. 02

    AI and agentic systems

    AI is part of the operating system rather than a demo layer: durability, evaluation, governance, recovery and evidence decide whether the work holds.

    We design and implement agentic systems with bounded execution, inspectable evidence and a named owner, and we keep claims inside what the current record can support.

    Capabilities
  3. 03

    Revenue-bearing platform replacement

    The business depends on the platform, and migration, data integrity and cutover matter more than a new storefront surface.

    We own architecture, migration, validation and cutover for the replacement, and remain through the post-cutover period that the engagement itself defines.

    Capabilities
  4. 04

    Validation and cutover

    The system largely exists. The remaining risk is proving it, qualifying failure modes and taking it live without pretending uncertainty has disappeared.

    We enter at validate, qualify what can be known, and take responsibility through cutover under explicit scope and limits.

    Capabilities

What we take responsibility for

You can bring us in at any point on this line. You do not need a specification to start.

  1. Frame agree what the problem is
  2. Design shape the architecture and UX
  3. Build implement the working system
  4. Validate prove it against failure modes
  5. Cut over take it live, safely
  6. Evolve keep it correct as it changes

Evidence

Evidence is published with its scope and limits. Where confidentiality or maturity matters, we say so.

  1. Public

    Inspectable artifacts: system pages, public-safe architecture and method descriptions, and a verifiable founder chronology.

    Applied system pages · 2026-09

    Founder chronology · sourced 2026-07; rendered 2026-09-12

    Evidence page

  2. Qualified

    Evidence that requires an explicit scope, maturity and confidentiality bound.

    Major Israeli Bank portfolio · 2023-08 to 2024-12

    Evidence page

  3. Private on request

    Named evidence classes and a briefing path only. Nothing private is published by locator or contents.

    Briefing path · current

    Evidence page

Applied systems

  1. Cortex

    Operating layer

    A harness- and model-agnostic engineering environment that keeps work, memory, evidence and recovery outside any one executor.

    Implemented platform; adapter depth varies by harness

    System page

  2. Antigen

    Adversarial evaluation

    Evolutionary counterexample synthesis and detector characterization with lineage-backed evidence.

    Framework and a pinned public adapter are qualified; detector-backed evolution and causality remain in progress

    System page

  3. Kairo

    Governed decision support

    Narrow authority earned through trusted data, replay, comparison, governance and recorded refusal.

    Implemented research and decision-support system; live orders disabled

    System page

  4. Akkoniq

    Commerce platform

    Sustained ownership of a multilingual commerce and product platform, including replacement, data and operational surfaces.

    Operational long-running platform; legacy base predates the current AI-executed process

    System page

  5. Tessera

    Evidence lattice

    Keeping evidence, conclusions and dependencies connected so changed evidence can force reevaluation.

    Implemented private-domain system; architecture public, data private

    System page

AI and agentic engineering

AI and agentic engineering is Cortexive's deepest specialization: durable work, governed execution, independent evidence, recovery, and adversarial evaluation.

  • Durable work

    Workstreams, workflows and session continuity stay outside the model that happens to be executing.

    Evidence path

  • Governed execution

    Routes, authority and receipts are explicit. A completed chat is not the same as an accepted result.

    Evidence path

  • Independent evidence and review

    Acceptance binds to frozen targets, finite evidence and named assurance. Adversarial evaluation is a separate applied system.

    Evidence path

  • Recovery and evaluation

    Bounded service recovery and evaluation exist so failure is qualified rather than narrated away.

    Evidence path

How an engagement works

Start with the problem, not a specification. We first make sure we understand it, then define what must be proven and where Cortexive can take responsibility.

  1. 01

    Problem read-back

    You describe the system. Dan replies with a written read-back of the problem before any proposal.

  2. 02

    Evidence and plan

    We bound what is known, what must be proven, and where Cortexive will take responsibility.

  3. 03

    Private shared workspace

    Engagements can continue in a private, durable workspace at workspace.cortexive.com/<customer-slug>. The readable address identifies the relationship; access is still controlled by invitation and authorization.

  4. 04

    Delivery

    Architecture, implementation and migration proceed under one accountable owner, with evidence kept as work happens.

  5. 05

    Validation and cutover

    We qualify failure modes, take the system live, and stay for the post-cutover ownership the engagement defines — not a universal support duration.

Dan Komsky

Founder and accountable engagement owner. Dan sets the architecture, constraints, and acceptance criteria for Cortexive work.

  • Documented software engineering roles begin October 1997 (Mainsoft).

  • Independent architecture and delivery practice 2008–2023.

  • Regulated-enterprise AI consulting, August 2023–December 2024, published as Major Israeli Bank; client name available on request.

  • Independent Cortexive practice from January 2025.

Discuss a complex system info@cortexive.com