Trusted Data Foundations
Build reliable data pipelines, lakehouse layers, reusable data models and integrations that make analytics and AI production-ready.
- Lakehouse layers
- DBT and Databricks
- Source-to-target mapping
- Business system integrations
Talk to usFIDAS helps clients transform complex operational, laboratory and manufacturing data into trusted intelligence, validated analytics, scalable command centers and practical AI-enabled automation.
analyzed across the FIDAS portfolio
covering data, LIMS, MES, AI and analytics
active contributors in 2026
structured for scalable consulting offers
Clients do not just need dashboards. They need a consulting partner that can understand the process, engineer the data foundation, validate the logic and turn it into decisions that operations teams can trust.
The pillars translate FIDAS delivery experience into clear, scalable services for external clients.
Build reliable data pipelines, lakehouse layers, reusable data models and integrations that make analytics and AI production-ready.
Create executive and operational visibility across production, quality, materials, maintenance, projects and business KPIs.
Increase trust in decisions through reconciliation, validation rules, dependency tracking and readiness scorecards.
Support regulated laboratory transformation with LIMS, MDM, master data migration, testing and validation expertise.
Design and scale low-code manufacturing applications, MES/MOM workflows, eBR processes and reusable shopfloor templates.
Apply AI to practical operations use cases, including document parsing, agents, copilots, insight generation and automated reporting.
Help clients identify, prioritize and validate high-value opportunities before scaling them into production solutions.
The portfolio shows a mature foundation in data and operational systems, with AI and automation positioned as a strategic growth layer on top of trusted data.
A high-impact pillar for clients who need reliable visibility across MES, LIMS, ERP, maintenance and planning data.
It turns existing operational systems into a decision layer for executives, plant leaders, quality teams and supply chain owners. The client sees value quickly, while the data foundation remains reusable for AI, automation and multi-site scale.
Connect MES reject data, at-line inspections, LIMS release results and ERP valuation to show where quality losses originate.
Track process recovery, yield gaps and value leakage by combining production records, quality results and material valuation.
Monitor OEE, throughput, cycle times, downtime and productivity across plant, line, product and shift levels.
Expose stock availability, slow movers, demand planning signals and material constraints before they impact production.
Link inspection outcomes, rejected materials, finished goods valuation and sales impact into one cost-of-quality narrative.
Combine machine downtime, maintenance times, time-to-repair and production performance into a practical reliability view.
FIDAS can begin with one operational question, one data domain or one plant, then expand into a reusable command center and data product roadmap.
Discuss how FIDAS can shape data foundations, command centers, validation cockpits or AI-enabled services for your operations.