Open for design partners and pilots

Enterprise AI that knows
what it is doing

Anything can produce an answer. Enterprise AI has to understand how your systems, code, policies and people connect — then act inside the controls that already govern your business. Understanding you can rely on, action you can account for.

Run it on your estate Follow one incident end to end

An incident, end to end

Illustrative scenario

A pager goes off at 2 a.m.
Orders have stopped going out.

One bad night, two different jobs: answered at 02:19, fixed the next morning.

Take one ordinary bad night, end to end. 02:14 — the queue pushing orders to warehouses and carriers stops moving. Nobody yet knows whether it was yesterday’s release, a config change or the carrier API, and the two people who would know are asleep. This is the moment both platforms exist for.

The night, hour by hour

02:14

Paged awake

Three teams, three theories, no shared picture

Backlog climbing, nothing dispatching, a carrier cut-off at 06:00. The runbook is eighteen months old. The engineer who wrote the retry logic left in March. Everything needed to answer this is written down somewhere — just not anywhere you can ask.
02:19

SydeKx

Asked in plain language, answered with evidence

Which service owns this queue. What changed this week. Which policy governs its retries. Who is on call. The documented estate and the running one are read together, and every line names the file and version it came from.
02:26

SydeKx

The split: what needs an operation, what needs engineering

A retry setting changed three days ago; two downstream services still expect the old behaviour. Two of the three symptoms can be resolved now, inside existing permissions. The third is a real defect in code — and pretending otherwise is how incidents come back.
02:31

SydeKx

Orders are moving again seventeen minutes in

Drain the backlog. Restart the stuck consumer. Confirm dispatch recovered before the cut-off. Each action proposed by the agent, permitted by policy, and written down in a form that survives the post-mortem. No engineering cycle, because none was needed.
09:00

Vortex

Next morning

The defect becomes delivered work, not a backlog item

The finding enters as an idea. A plan is written and you approve it. Agents implement in isolated containers and review each other. You approve the result. It merges to the development branch with its release notes already on it — never to main.
Next time

The return leg

Nobody investigates this from scratch again

The finding, the operation, the change and the outcome all return to the knowledge layer. Whoever gets paged next starts from what actually happened tonight — not an eighteen-month-old runbook.

SydeKx · the product itself

Let “Zhi” — our CogniBot
walk you through the real screens

The real console, walked screen by screen — not a feature list.

The actual console, in the order you would meet it: a question answered with citations, diagrams rendered inline, the knowledge graph, a code review, a devnet01 incident traced to a line of code — then ingestion, Sentinel and the audit trail. It plays on its own; take a step yourself from the rail, or scroll the chat and click into the screens.

SydeKx — your estate, answering01 / 32

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searchnotifications50dark_modeDLDana Lim

SydeKx

{side·kick}

Always on. Always contextual.

▍

SydekxFacilitatorexpand_moreattach_filesend

SydeKx is AI and can make mistakes. Always validate the response.

Zhi

One box, the whole estate. SydeKx answers from your code, your documents and your compiled wiki in the same turn — and the agent answering is a profile you configured, not a black box.

The console ships dark — this is the real UI, whichever theme you read the page in.

The UI is still evolving — what you see here is the product as it stands today, not the final design.

SydeKx · end to end

One question, from ingestion
to an answer you can defend

Six stages, in the order they actually happen. Synapse decides what an answer is allowed to say. Sentinel records what happened to it afterwards, and the next answer starts from that.Click any boxto open the real screen behind it.

Stage 01 / 06

Everything the organisation knows, ingested once

Code, documents, wikis, policies, tickets, live system state and the map of who owns what are pulled in by a fleet of parallel workers. Re-ingesting does not overwrite anything — the previous version stays addressable, which is the only reason an answer can name its source months later.

Nothing is replaced. Every version stays quotable.

Ingest — once, and pinned

Retrieve & answer — per request

Govern & learn — continuously

Source code

Documents & wikis

Policies & tickets

Live systems

Who owns what

Trace
› 12,480 files ingested · 23 languages parsed · every version pinned
› feedback recorded as signal · ranking adjusted downward · case opened
› answer streamed with sources · 3 troubleshooting steps proposed

Vortex · the product itself

One idea, walked
all the way to merged

One idea, twenty-one steps, from canvas to merged — with every gate shown.

Zhi narrates here too, over a single idea travelling the full lifecycle: the canvas that drafts it, the readiness gate, the planning gate, a sprint pipeline with a terminal per agent, integration QA fixing what it finds, the completion gate, the squash-merge to dev — and what the run cost. Twenty-one steps, same controls — the last three on the sealed record.

Vortex — idea to shipped01 / 21

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Ideas Canvas

Ideation Studio·apartmentGaming-folder_openvortex-three-kingdom

lightbulbVRTX-I-0028EnhancementDraftexpand_more

descriptionDocumentgrid_viewMockups1

dashboardPipelineaddNew Idea

IDIdeationinfoink_eraserleft_panel_close

Ask Ideation anything about this idea. It reads the repository before it answers.

▍

attach_fileauto_awesomePromptssend

Start a new idea

Pick a work type to create a canvas document.

rocket_launch

Bootstrap Greenfield

New product or service from zero.

auto_awesome

Enhancement

Feature or improvement to an existing product.

pest_control

Bugfix

Raised as a defect ticket once inputs are captured.

Resume a draft

VRTX-I-0031Untitled idea

Zhi

Vortex starts where the work does: one sentence in the Ideas Canvas. Pick a work type — Bootstrap, Enhancement, Bugfix — and the Ideation agent opens a canvas document for it.

The UI is still evolving — what you see here is the product as it stands today, not the final design.

Vortex · end to end

Hand over an idea.
Get back reviewed, merged code

A delivery team, not a chat box. You are in the loop exactly twice — once to approve the plan, once to approve the result.Click any stageto open the real screen behind it — the ideas canvas replays a full session.

Stage 01 / 06

An idea, refined until it is actually buildable

You describe the outcome in plain language and an agent interrogates it with you — scope, constraints, what done means. Nothing enters delivery until the idea passes its own readiness checks, because a vague brief is how autonomous work goes quietly wrong.

Refinement is conversational. Readiness is not negotiable.

The sprint — one idea, start to finish

Human gate 1Approve the plan

Human gate 2Approve the result

container · task 04

container · task 07

Every message between agents is recorded

Where the code goes

ticket/*

sprint/*

dev

main

Human release only

Audit
› idea VRTX-I-0031 refined · readiness checks passed → ready
› run replayable end to end · cost attributed · outcome fed back
› approved · notes written onto branch · squash-merged to dev

Where we differ

Most of these tools are good. They were built to answer a different question.

Not faster search or more code — a record of how the answer was reached.

When someone asks how an answer was reached, or who authorised a change, there is a record — and it was produced by architecture rather than by discipline. Four domains, because these products do not all compete with each other, and pretending they do would be the easiest way to be wrong.

Correct as of 14 August 2026 Built in Partly, by add-on, or opt-in Not the design goal Outside that product’s domain

One table · four domains

Most of these tools are good. They were built to answer a different question. Correct as of 14 August 2026.
Capability	SydeKx	Vortex	Glean	Onyx	Microsoft 365 Copilot	Greptile	CodeRabbit	Qodo	Codacy	Devin	Ona	GitHub Copilot agent	Claude Code	Cursor	Lovable	Base44
	CogniZhiTwo products, one arc		Domain 01Enterprise knowledge & contextAnswers from what was written down			Domain 02Code review & code qualityJudging a change before it merges				Domain 03Agentic coding & deliveryWriting the code, or running the agents					Domain 04Prompt-to-app buildersA first version from a description
What it understands — and how far that reaches
Reach	Whole enterprise	Cross-repo	Enterprise	Enterprise	Enterprise	Cross-repo	Single repo	Cross-repo	Cross-repo	Single repo	Single repo	Single repo	Open session	Open session	Its own app	Its own app
What it indexes	Code + docs + wiki + IKL + policy + owners	No index of its own · understanding from SydeKx	Docs + apps	Docs	Docs + mail + chat	Code	Code	Code + rules	Code	Code	Code	Code	Code	Code	Its own app	Its own app
Per-asker permissions	Built in	Partly, by add-on, or opt-in	Built in	Partly, by add-on, or opt-in	Built in	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain
Durable citations	Built in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal
Non-code estate	Built in	Partly, by add-on, or opt-in	Built in	Partly, by add-on, or opt-in	Built in	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Not the design goal
Org-wide index	Built in	Built in	Built in	Partly, by add-on, or opt-in	Built in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal
Live runtime state	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain
Symbol-level code graph	Built in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Built in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal
Joined reasoning	Built in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Not the design goal
Governance and assurance
Pre-merge fact check	Built in	Built in	Not the design goal	Not the design goal	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Built in	Built in	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal
Adjudicated feedback	Built in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal
Enforced policy	Built in	Built in	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Not the design goal
Approval gates	Built in	Built in	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal
Append-only audit	Built in	Built in	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Not the design goal
How the work gets done
Role-based agent team	Partly, by add-on, or opt-in	Built in	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Not the design goal
Isolated workspaces	Outside that product’s domain	Built in	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Built in	Built in	Built in	Not the design goal	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in
Protected production	Outside that product’s domain	Built in	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Partly, by add-on, or opt-in	Not the design goal
Resumable work	Outside that product’s domain	Built in	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in
Model portability	Partly, by add-on, or opt-in	Built in	Outside that product’s domain	Outside that product’s domain	Outside that product’s domain	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Partly, by add-on, or opt-in	Not the design goal	Not the design goal
What it costs and where it runs
Cost accounting	Partly, by add-on, or opt-in	Built in	Not the design goal	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in
Air-gapped deploy	Built in	Built in	Not the design goal	Built in	Not the design goal	Built in	Partly, by add-on, or opt-in	Built in	Built in	Not the design goal	Partly, by add-on, or opt-in	Not the design goal	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Not the design goal
Closed loop	Built in	Built in	Not the design goal	Not the design goal	Not the design goal	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Partly, by add-on, or opt-in	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal	Not the design goal

14 competitors

Better together

One understanding.
Two ways to act on it.

Deciding what needs building takes the same understanding as building it.

Most of what an organisation needs is not new software. Some of it is. Answering which requires knowing how your systems, code, policies and people connect — the understanding both platforms run on.

01
Observe

Read the documented organisation and the running one together — code, policies and ownership alongside logs, configuration and deployment state.
02
Assess

Identify dependencies, risks and affected teams, then decide which path this belongs on: an operation inside existing permissions, or a change that has to be engineered.
03
Act

Where the answer is operational, carry it out under approval — no engineering cycle, no ticket queue, and a record of exactly what was done and why.
04
Plan

Where something must be built, convert the requirement into controlled engineering work with explicit gates.
05
Deliver

Specialised agents implement in isolated workspaces. Review, testing, governance checks and human approval all apply before anything reaches a shared branch.
06
Learn

Every outcome — operational or engineered — returns to the knowledge layer, so the next assessment starts from what actually happened rather than what was assumed.

The return leg is the part that compounds. A change that ships without teaching the knowledge layer anything is a change somebody investigates again next quarter.

Governance

Governed by design,
not by good intentions

Agents propose. Policy decides.

Every retrieval, transition and approval leaves a record you can replay months later.

Permission-aware retrieval

Agents see only what the person asking may see. Access is compiled into the search itself at the knowledge layer — never delegated to the prompt.

authz compiled into the search RPC from live scopes · row-level security on 98 of 122 tables
Access as named, versioned bundles

Repositories, document spaces, files and wiki vaults bundle into one named scope you assign as a unit — and version, so you can see what someone could reach last quarter.

access scopes · assigned as a set, not a pile of individual grants
Publishing is the only path into canon

Nothing enters the governed graph by being written to it. Raise a proposal, review it, publish — the write path does not exist anywhere else.

proposal → review → publish · enforced as a system invariant
Four eyes where it matters

Policy, ownership, compliance and anything irreversible need two different people. Being the administrator is not a shortcut around it.

four-eyes review lanes · the proposer is never the approver
Versioned canon, restorable

Every publish produces a numbered version. Compare two field by field, and restore an earlier one if a publish turns out to be wrong.

v130 → v131 diff · history and restore per published version
Adopt enforcement in stages

Governance does not arrive as a switch that breaks Monday. Run it off, observing, assisting or enforcing — and watch what it would have done before it does it.

off · observe · assist · enforce · default-off, no restart to change
Append-only audit records

Prompts, retrievals, tool calls, decisions and approvals are recorded immutably, each run keeping its own trace. Any answer can be reconstructed months later.

immutable ingestion runs · per-turn trace · admin audit log
Honest degradation

When part of the estate is unavailable, the answer says so and names what was missing. A silent gap is worse than a stated one.

coverage stated on the answer, never quietly dropped
Deploy where the data lives

Cloud, self-hosted or fully isolated, with the model provider swappable underneath. When information cannot leave the organisation, none of it has to.

cloud · self-hosted · air-gapped · bring your own model

The whole arc, stated plainly

Understanding is the hard part. Action is what it unlocks.

Each stage is only safe because the one before it exists. That order is the product.

An AI that acts without understanding is a liability. An AI that understands but cannot act is a search box. This is where we actually are.

SydeKx Six stages, in order

01

Understand
Running today

Documents, code, wikis, policies, systems and ownership in one permission-aware layer, every answer traceable to source and version.
02

Correlate
In build

Reasoning across sources rather than within them: a business rule to the code implementing it, a service to the team owning it, a change to everything downstream.
03

Observe
Next

Reaching into the running estate so what the system knows matches what the system is currently doing.
04

Act
Designed

Granted operations inside an approval boundary. The agent proposes, policy decides, the record survives the decision.
05

Extend
Continuous

Every connector widens both at once — what can be understood, and what can safely be done. We do not expect this list to finish.
06

Embody
Long horizon

Understand, verify, act within permission, record what happened. That loop is not specific to software — we think it eventually reaches systems that move in the physical world.

Vortex What runs, and what follows

The governed loop itself
Running today

Two gates, autonomous SDLC, isolated per-agent containers, live previews, role-based access and durable execution are running today.
The full recovery ladder
Partly on

The first tiers run by default and the human escalation tier can never be disabled. The middle tiers are opt-in while we finish them.
Memory across long projects
In build

Agents recall decisions and past defects across sprints rather than re-deriving them. Today the store is flat; semantic recall is next.
Deeper into the pipeline
Next

Integration testing, user acceptance and controlled deployment stages, plus enterprise sign-on and compliance-evidence export.
Your own AI software factory
Target

Elastic execution inside a customer’s own cloud, scaling to zero when idle, with traceability from a business idea to every test and approval behind it.
Both products are prototypes with real code running end to end, not slideware — and we would rather tell you which parts are unfinished than have you discover it in month two.

Who this is for

Places where the answer has to be right

Built for estates where being confidently wrong is expensive.

And the change has to be reviewable, and someone has to be accountable for both.

Engineering & platform leaders

Large estates, thin documentation, dependencies nobody can fully draw. You need change impact understood before a change ships — not reconstructed afterwards during an incident review.
Risk, security & governance owners

You want the leverage of AI agents without handing them unmonitored access to sensitive systems. Boundaries, provenance and an audit trail that survives scrutiny are the price of entry.
Executive sponsors

You have been asked what the AI programme actually returns. Per-run cost, delivered outcomes and a defensible record are how that question gets an answer instead of an anecdote.
Founders & small engineering teams

Moving faster than headcount allows, on systems that already matter to customers. You need delivery leverage that does not quietly trade away quality, security or control.

About CogniZhi

Who we are

Cognition and ZhiHui — wisdom. AI that reasons, not just responds.

The name CogniZhi joins Cognition with ZhiHui — the Chinese concept of wisdom, deep understanding and intellect. It embodies our conviction that the next generation of AI must go beyond speed: it must reason, adapt, and act with genuine insight.

What we are building is narrow and hard: enterprise AI that understands an organisation well enough to be trusted with its work, and that acts only inside the controls already governing it.

CogniZhi has two founders — engineers who between them have spent two decades inside complex systems — and is being built with the earliest people who joined them.

Read the whole story Where we are today, the principles, and the people — in full.

Design partners & pilots

Let’s do this on your estate,
not on a demo dataset

Two honest ways in — they are not the same thing.

Both platforms run on real code today, and we say plainly which parts are finished. Pick the track that matches what you need from us.

Design partner
3–4 at a time

You shape what gets built. We take a capability that is still forming — governed context, the arbiter, reviewed merge — and build it against your estate, your rules and your review culture, with weekly contact with the people writing it.

Right for you if you have a mandate to fix this and people who can spend real hours on it. What you give up is time; what you get is a roadmap with your problems on it. We keep the number small because it costs engineering attention, not licences.
Pilot
Bounded · timeboxed

You prove it works, on a clock. A bounded run on a real repository set — success criteria agreed up front, a fixed window, and a decision at the end. It uses the parts that are finished, which the comparison above names one by one.

Right for you if you need evidence before budget, and want to judge the product as it stands rather than as it is becoming. Convert or walk away at the end — either is a fine outcome for us.

True either way

Runs where your data does

Cloud, self-hosted or fully isolated deployment from the first conversation.
Direct line to the builders

You work with the founding team, not a support queue and a ticket number.
Roadmap shaped by real estates

What either track turns up goes straight into what gets built next, in weeks not quarters.

Enquire — pilot or design partner [email protected]

Enterprise AI that knowswhat it is doing

A pager goes off at 2 a.m.Orders have stopped going out.

Three teams, three theories, no shared picture

Asked in plain language, answered with evidence

The split: what needs an operation, what needs engineering

Orders are moving again seventeen minutes in

The defect becomes delivered work, not a backlog item

Nobody investigates this from scratch again

Let “Zhi” — our CogniBotwalk you through the real screens

One question, from ingestionto an answer you can defend

Everything the organisation knows, ingested once

One idea, walkedall the way to merged

Hand over an idea.Get back reviewed, merged code

An idea, refined until it is actually buildable

Most of these tools are good. They were built to answer a different question.

One understanding.Two ways to act on it.

Observe

Assess

Act

Plan

Deliver

Learn

Governed by design,not by good intentions

Permission-aware retrieval

Access as named, versioned bundles

Publishing is the only path into canon

Four eyes where it matters

Versioned canon, restorable

Adopt enforcement in stages

Append-only audit records

Honest degradation

Deploy where the data lives

Understanding is the hard part. Action is what it unlocks.

Understand

Correlate

Observe

Act

Extend

Embody

The governed loop itself

The full recovery ladder

Memory across long projects

Deeper into the pipeline

Your own AI software factory

Places where the answer has to be right

Engineering & platform leaders

Risk, security & governance owners

Executive sponsors

Founders & small engineering teams

Who we are

Let’s do this on your estate,not on a demo dataset

Design partner

Pilot

Runs where your data does

Direct line to the builders

Roadmap shaped by real estates