Your source, your databases, decades of institutional knowledge — Orchard reads all of it and lets your teams ask, review, edit, and predict against it in plain language. GitHub-compatible, plugs into the legacy systems you already run, and never leaves infrastructure you control.
Orchard indexes every repo, database, and document behind your firewall, then hands your teams an AI that actually knows your business — not a generic model guessing at it.
Point Orchard at a monorepo or forty legacy repos and it reads them end to end — architecture, dependencies, dead code, risk. No file left unread.
"Where do we touch customer PII?" "Which service owns billing?" Ask across code and data at once and get grounded, cited answers — not hallucinations.
Forecast the blast radius of a change, surface refactors, flag the migration risk, recommend the next move — before your teams commit to it.
Your corpus becomes fuel: extract, structure, and fine-tune your own models on it — turning thirty years of code and data into a private domain expert you own outright.
GitHub makes you migrate to it. Orchard adapts to you — bridging the mainframes and legacy VCS the Fortune 500 still runs on and the modern cloud-native stack your new teams ship on, so every system comes online without a rewrite.
Import and mirror SVN, Perforce, Mercurial, and CVS — history intact — alongside git. Point a remote and go; no big-bang cutover.
Connectors for Oracle, DB2, SQL Server, and flat-file estates. Orchard reads the data where it lives instead of forcing an export to someone else's cloud.
First-class for Kubernetes, containers, Terraform, and modern data warehouses — Postgres, Snowflake, Databricks, object stores. Old and new indexed side by side.
GitHub Actions-compatible workflows run on your own runners, and the REST/git surface your tools already speak to keeps working — no rewrite, no lock-in.
LDAP / Active Directory / SAML SSO, air-gapped and self-hosted deployment, and full audit trails — dropped into the perimeter and controls you already operate.
Wikis, PDFs, Confluence exports, and ticket history ingested alongside code — so the AI answers from the whole institutional record, not just the source tree.
GitHub is a great place to host code. For a Fortune 500 that has to keep its data sovereign and put it to work, the requirements are different.
| Orchard | GitHub Enterprise | |
|---|---|---|
| Where your data lives | ✓Your hardware, always. Air-gap capable. | Microsoft cloud, or GHES you still can't fully see into. |
| AI over your whole estate | ✓Reads every repo and database; answers grounded in your data. | Copilot autocompletes files; no cross-repo, no database context. |
| Train models on your corpus | ✓Fine-tune your own models; weights stay yours. | Your code trains their model. You rent the output back. |
| Legacy system integration | ✓SVN / Perforce / Oracle / DB2 / mainframe bridges. | Git-only. Migrate first, integrate later. |
| Runs your CI | ✓Your runners, no metered minutes, no build farm. | Metered Actions minutes on shared infrastructure. |
| Own the binary | ✓Self-hosted, source-available, no phone-home. | Closed SaaS; you operate on their terms. |
| Git compatibility | ✓Same git, same API, same workflows. | ✓Yes. |
A walkthrough with your architecture, your compliance line, and your legacy stack in the room.