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Secure · Composable · Auditable 

Intelligent Systems 
& Integration 

Build the connected, data‑driven backbone your business runs on a single source of truth, secure by design, and ready for advanced AI.

Proven Value 

We make sure the 
future works for you. 

Case Studies

We deliver results 2x Faster 

Outcomes Engineered for Impact 

Observed client results include portfolio optimization at enterprise scale, 25%+ reductions in operational inefficiency, and faster delivery cycles across programs. Exact outcomes depend on scope; we model the KPI deltas up front in the Strategy Sprint.

1

Single Source

of Truth

Governed, query‑ready data across systems (ERP/PLM/MES/CRM/MarTech) with lineage and access controls.

2

Operational

Visibility

Real‑time signals for throughput, inventory, SLA, change impact, and customer transparency.

3

AI‑Readiness &

Guardrails

Clean, composable data with policy‑as‑data guardrails that enable safe, high‑impact AI.

4

Lower Total cost

of Integration

Fewer bespoke point‑to‑points; standardized interfaces; observability that stops guesswork

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AI strategy, data platform modernization, or systems 
integration. Send us your queries. 
No obligation · We’ll point you to the fastest path.
Customized Fit 

From Framework to Function 


Composable 
Data backbone 

Lakehouse + streaming + ELT/ETL + CDC; cataloged datasets with contracts, quality checks, and lineage.

Systems 
Integration 

Event‑driven and API‑first patterns; connectors to ERP/PLM/MES/CRM/WMS/MarTech; EDI where required.

Semantic & 
Access Layer 

Business‑friendly models, governed metrics, SQL/API/GraphQL access, role‑aware entitlements.

Master & 
Reference Data 

Golden records, survivorship rules, stewardship workflows with Master and reference data models.

See our Work.

Pilot‑first Approach 

How we go from idea  backbone in weeks 
01

Strategy Sprint (free for qualified teams) 

Inventory systems and data  map critical jobs‑to‑be‑done  pick a thin slice that proves value (e.g., ERP↔WMS + customer transparency)  KPI model  30/60‑day plan. 
02

Foundation (Week 1) 

Context diagrams, data contracts, security posture, identities/roles, governance rules. 
03

Connect & Compose (Week 1–2) 

Stand up ingestion (CDC/ELT), minimal transforms, and an event/API surface. Wire a semantic view for the pilot use case. 
04

Prove Value (Week 3–4) 

Run against live flows; validate freshness, completeness, correctness. Deliver a working interface (dashboard/API/portal) to target users. 
05

Scale (Post‑pilot) 

Harden pipelines, add datasets, expand semantics, automate quality gates, and plan rollout by function/site in 12 week cycles, for accountability and clear value arriving every quarter 

Technical Approach 

How we deliver superior results with speed and governance.

Integration 
patterns 

Change Data Capture (CDC), event bus, API gateway, orchestration with idempotent jobs.

Data 
contracts 

Versioned schemas, backward/forward compatibility, contract tests in CI.

Governance 
as code 

Policies checked in (policy‑as‑data), automated PII tagging/masking, approvals logged.

Observability & 
Lineage graphs 

Metrics, logs, traces for pipelines; data quality SLAs; lineage graphs.

Pilot acceptance 
criteria 

  • Freshness: p95 latency ≤ 5 min (streaming) or ≤ 2h (batch) for target entities
  • Quality: ≥ 99% record completeness on critical fields; contract tests pass
  • Reliability: p99 pipeline success ≥ 99.5%; auto‑retry & alerting enabled
  • Access: role scopes enforced; lineage visible end‑to‑end
  • Business: KPI delta evidenced (e.g., SLA misses reduced, inventory accuracy ↑)

Frequently 
Asked 
Questions