Data Infrastructure Solutions That End the Vendor Sprawl.

Both — and we don't apologize for it. Logiciel builds with our own platform where it materially accelerates outcomes (ingestion, observability, cost, governance), and we use best-of-breed where it makes sense (Snowflake, Databricks, dbt, Iceberg). You get the result, not a vendor lock-in. Most pure-services data infrastructure firms re-implement the same primitives every engagement, so you pay for tribal knowledge and get inconsistent quality. Most pure-tool vendors hand you the platform and walk away. Logiciel covers the full lifecycle — strategy, architecture, build, run — under one accountable team, with software where it speeds delivery.

Foundational architecture engagements run 8-12 weeks and produce a costed, board-defensible roadmap. Full implementation engagements run 3-6 months for a mid-market scope (one warehouse, 50-100 pipelines, governance bootstrap) and 9-15 months for enterprise rollouts (multi-domain, regulated industries, parity testing). Managed operations are ongoing, contracted in 12-month cycles. Most US customers start with the 8-12 week diagnostic before committing to implementation — it surfaces the real gaps, builds shared understanding with your team, and gives finance a realistic budget envelope rather than a vendor-pitch number.

PropTech, FinTech, B2B SaaS, eCommerce, Healthcare/Life Sciences, and Construction Tech — all weighted toward US-based data teams. Our deepest references are in regulated industries (financial services with SOX/GLBA, healthcare with HIPAA) and high-growth scale-ups (SaaS unicorns, marketplaces with sub-second latency demands, PropTech firms consolidating after acquisition sprees). We avoid industries where we don't have references — gaming, ad-tech, and pure-consumer-content — because data infrastructure work is judgment-heavy, and judgment without industry context produces bad outcomes.

Yes — and compliance is designed into the architecture, not retrofitted. We have active engagements covering SOC 2 Type II, HIPAA, SOX (BCBS 239 for cross-border financial reporting), GDPR, CCPA and other state privacy laws, and the EU AI Act for AI-adjacent workloads. For US customers, we handle the full evidence-collection workflow (auto-collected lineage, access logs, masking enforcement records) so audits move from a 4-week scramble to a 1-day export. We've co-delivered with Big Four auditors and can provide auditor-aligned reference architectures on request.

Yes — about 70% of our engagements are partnership models where Logiciel augments rather than replaces the in-house team. Common shapes: (1) embedded pod where 3-6 Logiciel engineers slot into your sprint cadence under a US-based lead, (2) staff augmentation where named seniors fill specific gaps (data architect, DataOps lead, ML infra), (3) co-delivery where Logiciel owns specific workstreams while your team owns others. We deliberately structure for knowledge transfer — your team should be able to run what we build after handoff. Pure-staff-aug-only relationships exist but are not our preferred model.

An 8-week architecture diagnostic, fixed-fee, that produces a concrete remediation plan defensible to your CFO and board. Output includes: current-state map of your data infrastructure (often more sprawl than leaders realize), top 3-5 cost or risk gaps with quantified impact, target-state architecture with capacity model, phased migration plan with milestone-by-milestone cost, and a TCO comparison across realistic vendor scenarios. About 60% of diagnostic customers continue into implementation; the other 40% take the plan in-house or to a different SI — we're fine with that, the diagnostic stands alone.

Yes — US-based leadership, US time-zone aligned program management, with global engineering scale. Every named engagement has a US-based principal architect and a US-based customer success lead; sprint ceremonies (planning, demos, retros) run during US business hours regardless of where engineers are physically located. For customers with US-citizen or US-cleared requirements (federal, regulated defense, sensitive healthcare), we maintain a US-only engineer pool. Our US footprint includes Chicago, NYC, and West Coast hubs plus distributed remote senior staff across the continental US.