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Mission-critical software for organizations that can't afford to get it wrong.

Senior engineers shipping production code, not clickable prototypes.

Live operations dashboard
LIVE OPERATIONS
System Uptime99.999%
Last Commit2h ago
Commits Today
42
Team Capacity
Total38
12 Available

01 / THE PROCESS

The Proof Sprint

4 weeks. Working software. Bug-free guarantee. Then you decide.

Week 0

Discovery Together

We map your architecture, identify risks, and align on what "done" means.

Weeks 1-3

Build in Public

Daily commits. Weekly demos. Full transparency into our process and progress.

Week 4

Ship & Decide

Production-ready code. Complete documentation. Now you choose: continue or part ways.

After

Your Choice

Keep the code regardless. No pressure. No hard feelings. Just proof.

02 / THE WORK

Our Kind of Work

Clinical Decision Support SystemInference orchestration driving clinical decisions at point-of-careCLINICAL WORKFLOWPhysicianNurseDeviceROUNDTABLEML INFERENCE AI ENGINEFilters low-confidence alerts to avoid alert fatigueAlert sent to physician manuallyFeedbackLoopProvider initiates real-time inferencePATIENT CHARTEHR retrieves relevant patientdata from live sessionData validated & PII-strippedFEATURE VALIDATIONSchema conformance checkPREPROCESSINGObservation values normalizedDataQuality?FAILRESOURCE FAILUREEHR sends alert to ops teamGraceful degradationactivatedPASSANALYSIS CHAINModel inference executionEVALUATEEnsemble prediction consolidatedCLINICIAN OVERRIDETrue/false feedback loggedfor model retrainingDownstream retraining feedback loopSend toEHRSendAlertML INFRASTRUCTUREPrediction ServiceModel ADiagnosisModel BRisk ScoreModel CTreatmentREST APIFeature Store + Inference PipelineFEATURECACHERedisMODELREGISTRYMLflowBATCHSCORERAirflowgRPC streamingHIPAA-Compliant Data LayerPATIENTDATA STOREPostgreSQLAUDITLOGImmutableMODELARTIFACTSS3 / MinIOContainerizedDockerOrchestrationExplainability ModuleSHAP values returned with each predictionAudit trail captures full inference context for clinical reviewInference RequestPrediction ResponseLEGENDProcessing StepDecision PointData StoreAlert/FailureTECH STACKPythonPyTorchFastAPIPostgreSQLDocker
HealthcareHIPAAML/AI

Clinical Decision Support Engine

The Hard Part:

Integrating ML models into clinical workflows with explainable AI requirements and strict HIPAA audit logging.

Predictions/Day

12K

Accuracy

94.7%

Response Time

180ms

TECH STACK

PythonPyTorchFastAPIPostgreSQLDocker
LINK UPSATCOMTactical OperationsData UplinkData ProcessingStore-and-ForwardCompression: LZ4BGAN/IridiumUplinkTACTICAL OPERATIONS LAYERIntermittent Connectivity ZoneNODENODEEDGEGATEWAYK3s MasterNODENODETactical Operations Layer(Disconnected Ops)Edge ProcessingLocal inference72hr offline capabilityMQTT mesh syncMQTT Mesh NetworkINTERMEDIATE PROCESSING LEVELMESSAGEBROKERMosquittoSYNCENGINECRDTsPRIORITYQUEUEBandwidth MgmtSync & BufferingConflict ResolutionCRDT-based mergeVector clock orderingCOMMAND & CONTROL BACKBONEOPS DATASTORECONFIGREGISTRYAUDITLOGC2 BackboneFACILITY INFRASTRUCTUREPOWERMGMTCOOLINGSYSTEMUPSBACKUPBase FacilityRadio/WireFilterNormXformRouteTECH STACK:RustK3sSQLiteMQTTAnsible
DefenseCMMCEdge Computing

Tactical Edge Computing System

The Hard Part:

Processing intelligence data at the tactical edge with intermittent connectivity and hardware constraints.

Edge Nodes

87

Sync Latency

210ms

Offline Cap.

72hrs

TECH STACK

RustK3sSQLiteMQTTAnsible

03 / COMPLIANCE LAB

We don't just check boxes

Click any framework to explore →

Skeptical? Good.

Let's start with proof.

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