Architect. Implement. Operate. One accountable team. US-aligned delivery.
You don't need 12 contractors. You need outcomes. Logiciel's data infrastructure services run the full lifecycle - strategy, architecture, implementation, and managed operations - under one accountable team with US-aligned delivery and clear SLAs.
If your data infrastructure work feels like a treadmill:
Leaders here typically need:
One accountable partner across architecture, build, and run. One accountable partner across architecture, build, and run eliminates the multi-vendor blame triangle that makes complex programs harder to deliver.
US-aligned program management with named leads. US-aligned program management with named leads is structurally different from offshore-only delivery; the difference shows up in stakeholder trust.
Knowledge transfer baked in - not optional add-on. Knowledge transfer baked in from day one means engagements end with capability transferred, not capability locked into the vendor.
Services with outcomes, not status reports.
Trading data, risk models, regulatory reporting - sub-second SLAs and audit-ready governance.
Listing data, transaction pipelines, geospatial analytics - multi-source consolidation.
EHR integration, claims pipelines, clinical analytics - HIPAA-aware infrastructure.
Product analytics, customer 360, usage-based billing - embedded and operational data.
Inventory, pricing, order, and customer pipelines - real-time and high-throughput.
IoT, project, and supply-chain data - operational analytics on hybrid stacks.
| Dedicated Pod | Staff Augmentation | Project-Based Delivery |
|---|---|---|
| Embedded data engineering pod aligned to your sprint cadence - typically 3–6 engineers + a US lead. | Senior data engineers, architects, and SMEs slotted into your team to unblock specific work. | Fixed-scope, milestone-driven engagements with clear deliverables and outcomes. |
We map your stack, workloads, team, and constraints in a working session - not an RFP response.
Reference architecture grounded in your reality, with capacity, cost, and migration plans.
Iterative implementation with weekly demos, code reviews, and your team in the loop.
Managed operations or knowledge transfer - your choice. Both with US-aligned coverage.
Continuous tuning of cost, performance, and reliability against measurable SLAs.
Multi-year data infrastructure strategy aligned to business outcomes.
Pipelines, warehouse, governance, observability - all built.
24/7 ops with US-aligned escalation.
Reference architectures, vendor selection, capacity modeling.
Cloud, warehouse, and platform migrations with parity testing.
Pod-based delivery with named US lead.
Both - and we don't apologize for it. Logiciel builds with our own platform where it materially accelerates outcomes, and we use best-of-breed where it makes sense (Snowflake, Databricks, dbt, Iceberg, Kafka). 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 across customers. Most pure-tool vendors hand you the platform and walk away, leaving operational success up to your team. Logiciel covers the full lifecycle (strategy, architecture, build, run) under one accountable team, with software where it speeds delivery and accelerates knowledge transfer.
8-week architecture diagnostic, fixed-fee, that produces a costed 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 and TCO models, phased migration plan with milestone-by-milestone cost, and a TCO comparison across realistic vendor scenarios. Diagnostic is fixed-fee at $200K-400K depending on scope. 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 as a deliverable.
US-based program leadership and SMEs; extended teams across global time zones for 24/7 operations coverage. Every named engagement has a US-based principal architect and a US-based customer success lead. Sprint ceremonies (planning, demos, retros) and executive QBRs run during US business hours regardless of where engineers are physically located. For customers with US-citizen or US-cleared requirements (federal, regulated finance, sensitive defense-adjacent, certain healthcare), we maintain a US-only engineer pool and document chain-of-custody for sensitive engagements. Our US footprint includes Chicago, NYC, and West Coast hubs plus distributed remote senior staff across the continental US.
Yes - under NDA, including Fortune 500 and high-growth scale-ups across our covered industries. References are provided during late-stage evaluation rather than first call, partly as customer protection and partly because reference quality matters more than reference quantity. We can typically provide 3-5 closely-matched references (industry, scale, regulatory profile, technology stack) before contract signing. References include both happy-path success stories and recovery scenarios (customers who came to us after failed engagements with other vendors) so you get realistic context, not just curated wins. For US Federal customers, we maintain separate cleared-engagement references.
Fixed-fee for milestones (architecture, environment build, each BU cutover); T&M or fixed-monthly for managed operations; outcome-based pricing where measurable. Architecture engagements are fixed-fee at $200K-800K depending on scope; full implementation runs $1M-8M for Fortune 500 scope; managed operations runs $40K-300K monthly depending on coverage tier and pipeline volume. Pricing is transparent - we publish ranges and benchmark against equivalent SI pricing (Accenture, Deloitte, Wipro) at evaluation. Fixed-fee structure aligns incentives with delivery, not hours. For US customers, pricing includes US-aligned program management; international scope is priced separately if needed.
Yes - we've co-delivered EDW programs and data infrastructure modernizations with Accenture, Deloitte, Wipro, TCS, Infosys, Slalom, West Monroe, Booz Allen, and others. Common patterns: SI owns business analysis and change management while Logiciel owns data engineering and platform operations; SI handles broad transformation and Logiciel runs the data infrastructure workstream as a sub-program. We sign mutual reference agreements and protocols up front to avoid the typical 'two vendors fighting' antipattern. About 30% of our enterprise engagements involve at least one other delivery partner - and we have explicit playbooks for co-delivery hygiene including escalation, decision rights, and IP sharing.
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, pure-consumer-content - because data infrastructure work is judgment-heavy, and judgment without industry context produces bad outcomes. Industry-specific reference architectures and compliance frameworks are pre-built for our covered industries.
We'll review your current data infrastructure state, your top 3 priorities, and outline how Logiciel's services would deliver - including timeline, cost, and outcomes.
