Introducing Aedeon
The system of record for how your software actually works, and the engine that evolves it.
Aedeon maps every application, database and business rule you run into one living graph — then evolves them from a sentence of intent, verified against your production traffic before it ships.
The cadence gap
Every quarter brings a reason your systems have to change: a new product, a new regulation, a new platform, a database license you want to leave behind. The systems themselves were written over twenty years, across millions of lines and hundreds of applications. No technology has ever given you a full view of how they actually work, or a safe way to change them from intent.
The gap widens every quarter you cannot change
Your team inherited systems it has to keep running but was never told why they work the way they do. That knowledge left with the original developers.
A pricing tier sits in a stored procedure. A compliance check runs as a database policy. Your team searches the application code and finds nothing.
It was written once, at the end of a project, by someone with a deadline. Every team has a wiki it stopped trusting years ago.
The nightly job, the finance report, the partner integration. Each reads the same table from a different codebase, and none of them are in the plan.
So every change starts with months of manual archaeology, and guesses get baked into whatever ships. You approved a roadmap. The roadmap described a system. The system had changed. Eight months in, the discovery work nobody scoped arrives as a change order, the date moves, and you are the one explaining why.
Bain’s study of more than 24,000 transformation initiatives found that 88% fall short of their original ambitions. McKinsey’s review of 5,400 IT projects with the University of Oxford found that projects above $15 million run 45% over budget and deliver 56% less value than forecast, and that 17% go badly enough to threaten the company itself.
Bain · McKinsey with the University of OxfordThe three alternatives
Vibe-coding platforms and IDE assistants generate net-new applications from prompts. They have no semantic model of the applications, databases or data platforms you already run, so they cannot read or preserve the systems running the business.
Async agents that reason inside a single repository. No model of the infrastructure, the data platform or the rules that cross systems, and no evidence the new behavior matches the old.
A thirty-year-old delivery model with accelerators bolted on, sold by the consultant-quarter. The economics do not change and neither does the failure rate, because the incentive is change orders rather than throughput.
The solution
Point an AI coding agent at the billing repo and tell it to move off Oracle. It will tell you it is done. Then run the same change against the graph.
Not seen
Each one is an outage, an audit finding, or a quarter of cleanup — discovered in production.
Evolve plan
With Aedeon the same change runs against the graph. Graph had already mapped the stored-procedure rule, the reconciliation job, the database-layer checks and the cross-system lineage — because it reads all the code, not one repo. Supervisor planned all of it from one sentence of intent. Evolve performed the change and verified the new system against the old on production traffic.
Twenty-year-old systems. AI-speed expectations. Something had to give.
The system of record for how your software actually works, and the engine that evolves it.
Aedeon reads all of your code, not one repository at a time, and builds a living map of how your applications, databases, pipelines and business rules connect. You tell it the outcome you want in a sentence. It writes the plan, your architects edit and approve it, and its agents perform the change and check the new system against the old one on your real traffic before anything ships.
The map stays afterward. Your next change starts from it.
Red links cross systems — what one-repo tools miss
How “verified” works
Nothing reaches production until the new behaves like the old
How this differs
| A modernization program | A migration project | Aedeon Evolve | |
|---|---|---|---|
| What it is | A program to rebuild aging systems |
A project to move a system somewhere else |
Something your systems do continuously |
| Where it starts | A business case and a discovery phase |
A target platform and a cutover date |
One sentence describing the outcome you want |
| Who does the work | An integrator, billed by the quarter |
A migration team, billed by the project |
Your team, with Aedeon’s agents under their approval |
| How you know it worked | User acceptance testing, after the fact |
A cutover weekend |
Verified against your production traffic before it ships |
| What you have afterwards | A new system, and a team that has left |
The same system in a different place |
A changed system, and a map that keeps updating |
| What the next change costs | A new business case |
A new project |
Less than the last one |
The product
Three products. One workspace. Two beats.
The living semantic map of how your systems actually work. Every application, database, pipeline and business rule, parsed from your code, connected across systems, and kept current as they change.
94–98% of business logic mapped automatically
Our proprietary 2.2B-parameter planning model, trained on two decades of enterprise systems-engineering best practices and never on customer code. Tell it what you want, in a sentence, and it converts that intent into a step-by-step plan and orchestrates the frontier models against your graph.
One sentence in. Eleven steps out.
The agents that perform the change: updates, upgrades, replatforms, refactors, rewrites. Your team approves every gate. Every change is verified against the old system on your real traffic and lands in your Git with its full history attached.
Humans are always in the loop
Aedeon Studio is the workspace where all of it happens: one interface for exploring the graph, expressing intent, reviewing plans and approving changes.
Say it in a sentence
Aedeon does
See it working
Drag a node · click to inspect
db/billing/*.sqlDonesp_calc_rate_tier.sqlDoneservices/billing/orm/*.tsDoneops/nightly_recon.pyRunningdb/policies/*.sqlQueuedwarehouse/dbt/models/billing.sqlQueuedtests/it/oracle_*.spec.tsQueuedOne sentence of intent becomes eleven steps your architects can edit.
Agents running the plan, one approved gate at a time.
Every change lands in your Git with its approvals and its history.
The second change costs less than the first
Today, every big change starts the same way: months spent working out how your systems actually work. When the project ends, the team moves on, and that knowledge leaves with them. So the next project starts from scratch, and costs just as much.
Aedeon keeps a living record of your systems and of every change made to them. Your first change pays to build that map. Every change after it starts from what Aedeon already knows, so there is less to work out each time, and the cost keeps coming down.
Your modernization program will end, and your people will move on to other projects. The Aedeon Graph keeps evolving as your systems change, ready for the next one.
Without Aedeon every project starts from zero
With Aedeon the graph remembers every change
Security
The six questions a CISO asks, answered on the page. Your graph, your source and your analysis stay inside your own tenant — no pooled indexes, no cross-tenant embeddings, and no training on your code.
Private VPC · sovereign region · air-gapped
No pooled indexes. No cross-tenant embeddings. Your graph, your source and your analysis stay inside your own tenant. Supervisor is trained on engineering best practices and never on customer code.
Private VPC deployment in your cloud, a sovereign region, or fully air-gapped. Bring your own keys.
WAF, IDS and IPS, real-time threat monitoring, and encryption across transport, storage and archival.
Nothing executes until a person approves it. Architects can edit any plan before it runs.
SOX, PCI and HIPAA impact diffs on every change, so the audit trail gets stronger as your systems evolve.
Source, analysis, model, approvals and verification runs, all attached to the commit in your Git.
SOC 2, PCI DSS and HIPAA certifications in progress. Models orchestrated: Anthropic, OpenAI, Google Gemini and xAI Grok, limited to the ones your organization approves.
Visit the Trust Center →Why we built Aedeon
“Software has always been easier to write than to change. Every enterprise runs on systems it can no longer safely touch — because nothing ever recorded how they actually work. Finance has a ledger. Sales has a CRM. Software needs a knowledge graph.
When frontier models made the missing system buildable, we built it: a living map of your systems, and an engine that turns your intent into verified change.”
Pricing
You pay for the platform and for the evolution credits actually used. One credit is 1,000 AI tokens, and every plan shows its estimated cost before you approve it. There are no consultant quarters and no change orders.
Route 01
Connect one repository and watch the graph build. About an hour.
Start free trial →Route 02
Get the map before you commit to any change. The honest first step for most enterprises.
Book a demo →Route 03
Ninety seconds, no form. Map, plan, verified change, landed in your Git.
Watch the demo →Answers
Start here
Connect one real system and watch the graph build. Then describe one change and see what comes back.
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