An enterprise AI platform that ships software, not suggestions.
Most enterprise AI software helps someone work faster. CORE takes responsibility for the deliverable itself — the working, tested, compliant enterprise software solution — and puts a human signature on every gate along the way.
The problem with most enterprise AI software
Enterprise AI budgets have grown quickly and delivery backlogs have not shrunk. The reason is that most enterprise AI software optimizes an activity rather than an outcome. A copilot makes a developer faster at writing a function; it does not make the project ship. A chatbot deflects tickets; it does not build the system that would have prevented them.
CORE is aimed at the outcome. The unit of work is a delivered system, not an accelerated keystroke, and the measure is whether the thing your business asked for is running in production with an approval trail behind it.
Four products, one platform
CORE is a single platform with four modes. Which one you start in depends on where your problem already sits.
Evaluate
Test the software you already run, check it against SOC 2, HIPAA, FedRAMP 20x and more, and let self-heal fix what it finds. Evaluate →
Optimize
Extend, change or fix a live system. Every change arrives with the list of files it touches and regression proof. Optimize →
Re-engineer
Rewrite a legacy application on a modern stack or rebuild its architecture, with every business rule preserved. Re-engineer →
Create
Build new enterprise software from a business requirement, approved by your team stage by stage. Create →
Built to sit inside the stack you already run
CORE does not ask you to move your systems of record. It builds software that talks to them. Where a platform exposes a documented API — Salesforce, SharePoint, Stripe, DocuSign, SAP, Adobe Experience Manager, or an internal service — CORE generates and tests the integration layer against it as part of the build, not as a follow-on project.
Generated systems deploy into your own cloud account on AWS, Azure, or Google Cloud, or into your own data center. The code is standard, the frameworks are mainstream, and your engineers can read every line. See the integration model →
Why an unknown vendor should have to prove more
SSDB Tech Services is an enterprise software delivery company in Dallas. CORE is the engine we built for our own work, and we ran it on ourselves before we sold it to anyone. That is a smaller claim than a logo wall, and it is a verifiable one.
Read the code
Three reference builds constructed with CORE are published open source. Not screenshots — repositories you can clone and read before you speak to us. Open-source builds →
Watch a build
A worked example takes a real enterprise requirement from document to running system, gate by gate, with the approval artifacts shown. See it work →
Test the claim
Send one real requirement. We return a scoped blueprint in 48 hours, free. If it is not good, you have lost nothing. Send a requirement →
Frequently asked questions
An enterprise AI platform is software that applies AI to a core business function under the governance conditions a large organization requires: access control, auditability, data residency, and a documented review process. The term is used loosely. It covers everything from model-hosting infrastructure to conversational agents to delivery platforms like CORE. The useful question is not whether a product is an enterprise AI platform, but which business function it takes responsibility for.
Software delivery. CORE takes a business requirement and produces the working, tested, documented enterprise software solution that satisfies it — across four products: Evaluate for testing and compliance readiness, Optimize for changing live systems safely, Re-engineer for legacy rewrites and re-architecture, and Create for new builds.
The difference is what happens when the AI is wrong. In a consumer tool, you regenerate. In an enterprise system, a wrong output can breach a control, corrupt a system of record, or fail an audit. Enterprise AI software has to be designed around that asymmetry — which in CORE's case means mandatory human approval gates, zero data retention, and an audit trail produced as a first-class artifact rather than reconstructed afterwards.
Yes. CORE generates standard source code that deploys into infrastructure you control. Systems built with CORE run in your own cloud account — AWS, Azure, or Google Cloud — or your own data center. There is no runtime dependency on CORE and no proprietary runtime to license.
CORE builds against SOC 2, ISO 27001, HIPAA, GDPR, India's DPDP Act, and PCI-DSS control requirements. Controls are specified at the blueprint stage rather than retrofitted, and each generated system includes evidence-collection tooling for auditors.
Organizations with a delivery backlog they cannot staff their way out of, and a compliance obligation that rules out unaudited AI-generated code. In practice that means CIOs, VPs of Engineering, and Heads of Delivery at mid-market and enterprise companies — typically 200 employees and up, in regulated or operationally complex sectors.
Send us one real requirement.
We will return a blueprint within 48 hours — the list of use cases, a mock website and the database design — free, and yours to keep whether or not you work with us.