Regulated Data & AI Engineering

Forward-Deployed Engineering & Strategic Consulting

Senior engineering collaboration remotely or on-site by agreement, and standalone strategic consulting for AI, data and regulated workflows.

Discuss your workflow

A defined path to production

Fixed-price diagnostics and implementation projects, with scope, deliverables and acceptance criteria agreed before work begins.

Forward-Deployed Engineering

Senior engineers working directly with your teams—from discovery to production. We collaborate with domain experts on architecture, integrations and implementation against agreed acceptance criteria, remotely or on-site by agreement.

Agree the workflow, collaboration cadence, access arrangements, responsibilities and acceptance criteria before delivery. Remote or on-site working arrangements are agreed for each engagement.

Hands-on architecture and implementation
Workflow integration and technical evidence
Agreed deployment, acceptance and handover

Strategic Consulting

Technical strategy grounded in implementation experience: prioritize AI and data initiatives, assess existing systems, evaluate build-versus-buy options and define practical architectures and roadmaps.

Available as a standalone engagement or preparation for implementation. Recommendations account for data quality, regulatory constraints, integration effort and operational ownership.

Prioritized use-case and investment roadmap
Architecture and modernization strategy
Build-versus-buy and technology-selection recommendations
Technical governance and implementation plan

Diagnostic

Understand the workflow, establish a baseline and assess risks.

An agreed architecture, implementation plan and acceptance criteria.Discuss your workflow

Fixed-scope implementation

Build the agreed functionality, integrations, tests and technical controls.

A working system with documented evidence and agreed deployment outcomes.Discuss your workflow

Acceptance & handover

Review results with domain experts and complete the agreed deployment.

Documentation, operating guidance and transfer of operational knowledge.Discuss your workflow

Inputs and discovery

Bring a workflow description, system inventory, representative non-sensitive examples and the relevant technical and quality stakeholders. Agree access arrangements before sharing project data.

Scope and boundaries

Define deliverables, dependencies and responsibilities together. Production rollout, migration and customer validation are included only when explicitly agreed. Dates and pricing follow the scoped proposal.

Review and handover

Agree acceptance criteria and review owners at the outset. Review the architecture, implementation and test evidence, then hand over documentation and operating guidance appropriate to the engagement.

Agreed engineering deliverables

Workflow and architecture specification
Documented implementation and test evidence
Review, deployment and handover plan

Designed to support validation under the customer’s quality system. Validation responsibilities, acceptance criteria and human review are agreed explicitly; automation does not replace accountable quality review.

Case Studies

Selected engineering projects

Anonymized project experience in Financial Services, Life Sciences and self-hosted AI automation, with concrete approaches, results and lessons learned.

Banking & Financial Services

Enterprise Analytics & Data Engineering for a Major European Financial Institution

Project period: 2022–2024

Team-member experience combining R/Python analytics, data pipelines, database-backed applications and technical coordination in a regulated financial institution.

Read the case study

Technologies and standards chosen for the workflow

Statistical computing

R · Python · SAS · SQL

Clinical workflows

CDISC · SDTM · ADaM · Pinnacle 21 · TLF

Private AI

LLMs · RAG · on-premise · private cloud

Applications

Shiny · APIs · dashboards

Contact

Discuss your workflow

Senior engineering collaboration remotely or on-site by agreement, and standalone strategic consulting for AI, data and regulated workflows.

info@leap-dynamics.com +49 (0) 30 62939513Scharnhorststraße 24, 10115 Berlin