RBD Studios Inc. · Built on the RBD Forge platformStart your new system with security, tenancy, and audit already done.
RBD Forge is our application platform, and it ships with the part that normally eats the first six months: tenant isolation, permissions, audit, identity, admin screens, and a governed API over every table. Your team writes the business software instead. AI agents get a session like any user and the same enforcement, because the rules live in the data path, not in the prompt. It runs on the SQL Server you already have, on your premises or in your own cloud.
95% of enterprise AI pilots deliver zero return. Most are bolted onto systems that were never built for AI. MIT, 2025
Most of a new system is not your business.
- ·Every enterprise system needs the same foundation before it does anything useful: login, tenant isolation, permissions, audit, admin screens, integration, reporting. That is where the first six months go, and none of it is the software you asked for.
- ·Forge has that foundation built and tested already, shared by every system on the platform. Your team starts at the part that is actually yours.
- ·AI drafts the screens and rules on top of it, inside guardrails, and your people correct them. That is where the rest of the time goes away.
Two names to keep straight. RBD Studios is the company you'd be working with: the consulting and incubation arm that does the build. RBD Forge is our platform: everything we build, for clients and for ourselves, sits on it.
When a new system gets quoted, most of the number is not the thing you asked for. It is the foundation underneath it: authentication, sessions, an API tier, tenant isolation, permissions, audit trails, admin screens, integration, reporting. Every project builds it again, every project pays for it again, and every project gets its own chance to leave the tenant filter off one query.
Forge ships that foundation. Register a table and it comes back secured, scoped to the right tenant, audited, and queryable through one governed API, with admin screens for it already live. Nobody writes a filter. Your developers start on the business logic, which is the part worth paying for, and AI tooling drafts the screens and rules around it for your people to correct.
If you also have old systems to replace, the same platform does that job, and it starts with an advantage: your existing schema and rules are the requirements, so the replacement takes shape next to the old system, on the same data, with no big-bang cutover. That story is further down this page.
Pick by how much of the work you want to keep in-house.
Same platform, same result: a modern system you own. The difference is who does the work.
License Forge, we train your team
Your developers already know the legacy systems. We license the platform, train them on it and on the AI tooling, and they modernize the portfolio at their own pace. Best when you have a capable team and more than one system to move.
We generate it, you finish it
We take your requirements and your legacy schema, generate a working starter system, and prove it on your data. You get a hand-off at roughly 90 percent complete, with your developers trained during the hand-off to carry the last mile and own it from there.
We manage it end to end
We reengineer the system and run it for you inside your own cloud account. Patching, upgrades, monitoring, and operations are ours. The data, the account, and the option to take it in-house later stay yours.
A rewrite spends its first year on plumbing. A modernization on Forge doesn't.
This is the replacement case, for the systems you already run. The same arithmetic applies to a new build; there is just no old system to work from.
A typical legacy rewrite
- ×Months 1 and 2: requirements archaeology. Interviewing users to rediscover rules the old system already enforces.
- ×Months 3 and 4: authentication, sessions, an API tier, CRUD screens, audit columns, admin tooling. None of it is your business.
- ×Months 5 and 6: permissions and multi tenancy, written by hand and reviewed twice, because getting it wrong is a breach.
- ×Months 7 through 12: the actual business features, then integration and reporting, then the security review sends part of it back.
- ×Somewhere in year two: a cutover everyone dreads, from a system everyone knows to one nobody trusts yet.
The same system, reengineered on Forge
- ✓Day one: your existing schema is registered. The tables come back secured, queryable, and audited, with admin screens live.
- ✓Week one: the generated starter system takes shape over your real data. Screens, workflows, and rules drafted by AI, corrected by people.
- ✓Weeks two through six: the work is validation, not construction. Does the new system do what the old one did, minus the parts everyone hated?
- ✓Integration, reporting, and administration are configuration, not projects.
- ✓Cutover is gradual, on the same database, while the old system still runs.
That is why the assessment and pilot are fixed price and measured in weeks, not quarters. We are not estimating the risky part. The platform already built it, and your legacy system already documented the rest.
The parts every rewrite rebuilds, already done.
Not a framework your team assembles. A running platform with the subsystems in place. Each card links to the deeper technical dive when you want it.
Security and multi tenancy
Every table is denied until you grant access. Which customer's rows a user can see is worked out from your own schema, not from a filter someone has to remember to write.
An API for every table
Register a table and it is immediately queryable through one governed API, permission checked and scoped to the right tenant. No code written per table.
Identity and sessions
Single sign on, strong password hashing, and sessions you can revoke on the spot. People can belong to more than one organization with different roles in each.
Audit and history
Every change is recorded with before and after values. Compliance questions get answered from data, not from archaeology.
Admin console
Users, tenants, roles, permissions, sessions, queues, connectors, and logs. It ships with the platform, and new tables you register show up in it.
Integration and background work
Scheduled connectors and an event pipeline. Background jobs run under a scoped session, so the nightly job cannot read across customers the way service accounts usually can.
Collaborative editingPilot
Several people editing the same document at the same time, with conflicts resolved per field and the whole change committed in one transaction.
Self service reporting
Business users build their own reports. Reports run in the background with limits, so a bad query cannot take production down.
The reason old systems became untouchable, engineered out.
Most legacy systems didn't start as problems. They became unupgradeable because customizations grew into the core until nobody dared touch either. Forge is built so the next twenty years don't repeat that.
- ·Feature and security updates to the core platform ship for as long as the license is active.
- ·An upgrade installs into what you already have. It does not fork your application code or trigger a re implementation project.
- ·Your team regression tests the business rules they wrote, not the platform underneath them.
We maintain the core
The security engine, the data path, the API, identity, audit, background services, and the admin console are ours to keep current. Those are the parts you did not write and should not have to babysit.
Updates install, they do not rebuild
An upgrade fits into what you already have. The systems you built on the platform keep running while the foundation under them moves forward.
Customizations live above the core
Your customizations sit in a layer built for them, held as plain language intent plus generated code, so they can be regenerated and re tested instead of re researched. Fork the core and you own the fork, the same as anywhere else.
That is a promise every vendor makes, so here is the record instead: 475 updates have shipped since March 2026, and every one is published on the progress log — what changed, when, and for a bug fix, the problem it actually solved. The quiet months are on the same page as the good ones.
AI is in how the system gets rebuilt, and in how it runs.
Most vendors mean a chat window when they say AI. We mean the two places where it actually changes the economics of modernization.
AI that rebuilds the system
The platform exposes your live database to AI coding assistants: real schema, real relationships, real conventions, checked by a structural audit. That is what makes the generated starter system possible, and it is why the generated code follows the platform's rules instead of plausibly violating them. The next step is business rules written in plain language by an analyst, generated, sandboxed, and blocked from publishing until their tests pass. Rule engine designed
AI that can safely use the system
Once modernized, your system is one AI agents can work in safely. An agent gets a session the same way a person does, and everything it reads or writes goes through the same enforcement: tenant scoping, permission checks, audit. A prompt injection can change what an agent asks for. It cannot change what the data path allows it to see, because the enforcement sits below the model.
Fast is only worth anything if it is also correct.
Three properties make it reasonable to compress years into months.
Governed by construction
Access control is derived from your schema and enforced in one data path. There is no query that skips the rules, not from a developer and not from an AI agent.
Go deeper →Tested before you inherit it
Security, audit, sessions, integration, and reporting are platform code, exercised by every system on the platform rather than written fresh per project. Generated business rules are gated by their own tests.
Go deeper →Your data, your deployment
Runs over your SQL Server, on your premises or in your cloud. No proprietary data store, no rip and replace, no SaaS lock in. Platform upgrades come with the license.
Go deeper →AI bolted onto aging systems is failing, and the failures share a cause.
It isn't the models. It's ungoverned data and chatbots bolted onto systems of record that were never built for them. Modernizing the system is how you fix the cause instead of the symptom. The full argument, with every source, is on the Why page.
Put one system on the table.
A fixed-price assessment on the system you need built, or the one you need replaced. You leave knowing the scope, the price, and which of the three paths fits.