What class of engineering systems does Cafronic architect and deploy?

We architect distributed AI backends, autonomous multi-agent execution meshes, high-throughput event streaming pipelines, and mission-critical cloud platforms. Every system ships with deterministic reasoning loops, strict gRPC schema contracts, automated drift telemetry, and guaranteed sub-15ms latency budgets.

What is your production deployment cadence and delivery timeline?

Our systems ship in rapid 2 to 4-week production deployment sprints (14 to 28 days). We deliver verifiable, working architecture benchmarks every week with automated CI/CD and continuous integration test suites. On-schedule delivery is backed by contractual SLAs.

Do we retain 100% unconditional ownership of our source code and IP?

Yes, unconditionally. You own 100% of every line of source code, model weights, IaC Terraform configurations, and deployment pipelines from day one. Zero vendor lock-in, zero runtime royalties, and zero ongoing agency platform dependencies.

How does your milestone-based engagement model work?

We operate strictly on transparent, deliverable-based milestone billing. Every sprint is bounded by clear architectural specifications, latency SLAs, and verified code delivery. Zero runaway hourly billing and zero surprise scope creep.

Case Studies/Microsoft Fabric Migration

Production Teardown·Fortune 1000 Supply Chain·21-Day Delivery Cycle

Migrating a 40TB Legacy Warehouse to Microsoft Fabric Delta Tables in 21 Days

How Cafronic migrated a brittle, monolithic on-premise SQL warehouse to Microsoft Fabric OneLake and Synapse Delta Tables—enforcing governed dbt data contracts, accelerating analytical queries by 14x, and slashing cloud compute costs by 68%.

Query Speedup14x FasterDirect Lake mode

Migrated Data40 TB100% data fidelity

Compute Savings-68%Annual cloud budget

Ship Velocity21 DaysCutover complete

1. The Architectural Challenge

Our client managed global logistics across 180 maritime ports and distribution centers. Their 40TB legacy SQL warehouse struggled under concurrent report generation: nighttime ETL jobs spilled into morning operating hours, and BI analysts waited up to 18 minutes for multi-table inventory join queries.

Previous attempts by traditional consultancies estimated a 9-month migration timeline with expensive ongoing monthly management fees. Cafronic committed contractually to execute the entire lakehouse migration in 21 days with 100% IP ownership.

2. Microsoft Fabric OneLake Architecture

Cafronic provisioned a unified Fabric capacity with OneLake delta tables:

Bronze/Silver/Gold Delta Lakehouse: Raw logistics event streams ingested into Bronze delta tables, standardized via dbt in Silver, and aggregated into dimensional star schemas in Gold.
Direct Lake Analytical Acceleration: By utilizing Fabric Direct Lake mode, analytical reports read directly from Parquet files on OneLake without importing data into memory caches, reducing query latency from 18 minutes to 4.2 seconds (a 14x speedup on complex joins).
Governed Data Contracts via dbt: Implemented strict schema validation tests and automated drift alerts, guaranteeing that upstream API changes never break downstream production reporting.

3. Production Outcomes

Delivered on Day 21 with full commercial IP code ownership:

Query Acceleration: 14x faster analytical joins across the entire 40TB corpus.
Cloud Cost Reduction: Annual compute spend dropped by 68% by consolidating redundant database nodes into auto-scaling Fabric compute pools.
Zero Downtime Cutover: Dual-write replication ensured the legacy warehouse and new lakehouse ran in parallel for 72 hours before seamless DNS cutover.

Modernize Your Enterprise Data Architecture

We architect and deploy production lakehouses and AI agent platforms in 14 to 28 days with 100% full commercial IP code ownership.

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