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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

MicroservicesMessageQueueDirectRouterMessageQueueDownstreamEnterpriseMulti-tenantEvent SourcesHTTPIngressWebhookReceiverKafkaConsumergRPCStreamScheduledCron JobsS3 EventTriggerCDCDebeziumTransactionOrchestratorSaga Pattern CoordinatorDistributed Transaction Manager• Compensation Handling• Idempotency Keys• Retry with Backoff• Circuit BreakerTransaction state persistedwith event sourcingTenant ContextDownstream MicroservicesBillingServiceNotificationServiceInventoryServiceFulfillmentServiceAnalyticsServiceAuditLoggerSaga StepsWorkflowEngineTemporal.ioWorkflowDefinitionExecutionStateWorkflow definitionas code (DSL)Durable executionwith replayEventStorePostgreSQLTenantConfigRedisAuditTrailElasticsearchAPIGatewayKong / EnvoyExternal ProtocolREST / GraphQLClientsArchitectureSOC 2Type IICompliantTECH STACK:GoReactPostgreSQLRabbitMQTerraform
Enterprise SaaSSOC 2Multi-Tenant

Enterprise Workflow Orchestration

The Hard Part:

Building a zero-downtime multi-tenant system handling 10M+ daily transactions with tenant-level data isolation and audit trails.

Transactions

10M+/day

Tenants

340

Uptime

99.98%

TECH STACK

GoReactPostgreSQLRabbitMQTerraform
Adaptive Learning Analytics PlatformReal-time behavioral data processing with FERPA complianceStudentEndpoints(180K devices)LMSIntegrationCanvas / BlackboardClickstream events,session data, andinteraction logsEventStreamApache KafkaStudentDataPipelineStudentBISEvent MindPlatformReal-Time AnalyticsLive threat detection,cohort behavioral analysisIKIStatusPredictorPace TimeAnalytics FlowReal TimeFilterNormalizationData ValidationStudentProcessingPlatformTensorFlow MLAdaptive ResponseInterventionNotificationsFERPA COMPLIANCE LAYERData De-identificationPII tokenization withreversible encryptionAES-256-GCMAccess ControlRole-based permissionswith consent verificationOAuth 2.0 + RBACAudit TrailImmutable access logswith tamper detectionSHA-256 Chain§99.31FERPAComplianceAuditDatabaseWrite-protectedPass PredicateData sent forde-identificationPass-throughonly de-identifiedTypeScriptNext.jsSupabaseKafkaTensorFlow
EducationFERPAScale

Adaptive Learning Analytics Platform

The Hard Part:

Processing real-time behavioral data from 180K students while ensuring FERPA compliance and millisecond response times.

Students

180K

Query Time

45ms

Data Points/Day

8.2M

TECH STACK

TypeScriptNext.jsSupabaseKafkaTensorFlow

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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FAQ

Frequently Asked Questions

Find answers to common questions about our services, compliance expertise, technical capabilities, and engagement process.

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