Some missions run above the cloud line.
Purpose-built federal AI on your own high-performance computing. On premise, air-gap ready, no cloud dependency, no data egress.
Five operations workflows, running in production today.
BIG-OPS is not a pilot. These use cases are live inside federal customer enclaves, on the same on-premise model, measured against the ticket queues they were deployed to reduce.
AGovX and CHAZAK.AI built for the other case.
BIG-BUILD and BIG-OPS run on a purpose-built large language model deployed on the agency’s own high-performance computing. No cloud service, no external inference call, no telemetry leaving the boundary — and no new accreditation surface introduced by a vendor’s SaaS. The models sit where your data already sits.
Legacy Oracle Forms, rebuilt as production Oracle APEX.
Agencies are carrying Forms applications written decades ago, with the institutional knowledge to maintain them retiring faster than the systems are being replaced. BIG-BUILD closes that gap without a multi-year rewrite.
Point it at the source
An existing Forms module, or a written specification when the source is gone. BIG-BUILD parses the blocks, triggers and PL/SQL logic in place
Translation and mapping
Forms blocks become APEX regions; triggers become page processes and dynamic actions; business logic is preserved rather than re-interpreted.
USWDS applied from the start
The generated application ships against the U.S. Web Design System component set with a Section 508 contrast and focus audit run before hand-off
Developer review gate
Nothing merges automatically. Your developer reviews a working application and the flagged findings — first draft done, judgment still human.
The summit takes the light while the valley is still dark.
Agencies that move first on on-premise AI are not waiting on a cloud authorization that may never come.
Five operations workflows, running in production today.
BIG-OPS is not a pilot. These use cases are live inside federal customer enclaves, on the same on-premise model, measured against the ticket queues they were deployed to reduce.
| Use case | What it does | Result | Status |
|---|---|---|---|
| Critical CVE triage | Reads the advisory against the actual estate, ranks exposure, and drafts the remediation ticket with affected assets already attached. |
Hours → minutes | Live |
| ServiceNow workflow code | Generates business rules, client scripts and flow logic from a plain-language description of the desired workflow. |
~30 sec | Live |
| Incident summarization | Collapses a long ticket thread into a factual timeline and a current-state summary for the next shift or the after-action report. |
68% MTTR ↓ | Live |
| Knowledge-base authoring | Turns resolved incidents into reviewed knowledge articles so the same problem is answered once rather than re-diagnosed. |
Queue deflection | Live |
| Change-request drafting | Assembles the change record, risk statement and back-out plan from the technical detail already in the ticket. |
First-pass draft | Live |
The boundary is the product.
Everything above is a consequence of one decision: run the model where the data already lives, on hardware the agency already accredits.
Compute
Agency HPC, on premise
Inference runs on the customer’s own high-performance computing. No shared tenancy, no vendor-hosted endpoint, no dependency on a commercial availability zone.
Network
Air-gap ready
The platform is designed to operate with no outbound path at all. Model updates arrive as reviewed artifacts through the customer’s existing media process.
Compliance
No new accreditation surface
Because nothing crosses the boundary, the assessment question is about software on accredited hardware — not a third-party service handling government data.
Delivered by a CMMC Level 2 prime, not a startup.
The AI practice is delivered under the same quality system, certifications and contract vehicles as every other AGovX program.
- Oracle ISV Partner
- Oracle APEX
- CMMC Level 2
- CMMI Level III
- ISO 9001:2015
- ISO 20000-1:2018
- ISO 27001:2013
- Section 508
- USWDS
- SBA 8(a)
- EDWOSB
- 8(a) STARS III · directed task orders
Bring us one Forms application, or one ticket queue.
The fastest way to evaluate BIG-BUILD or BIG-OPS is a bounded pilot on a single real workload inside your environment. Directed task orders under 8(a) STARS III make that a short path from conversation to kickoff.