Expertise
We work on two domains. Industrial operations, where value is built. Cross-functional teams, who keep the business standing. Same rigor, same agnosticism, same skills transfer.
Domain 1
Five families, twenty-one concrete use cases.
Near-real-time optimization of production order sequencing based on capacity, material constraints and commercial priorities. Accounts for changeovers, warm-up times and shared resources.
Typical ROI+5 to +12 percent capacity utilization, minus 15 to 30 percent late deliveries
Automatic detection of surface and dimensional defects at line exit. Vision models trained on your real defects, deployed at the edge (industrial cameras + local GPU). Integrated with machine stop and MES feedback.
Typical ROIMinus 60 to 90 percent customer non-conformities, minus 40 percent end-control cost
OEE loss prediction at 24 to 72 hours from machine data, with automatic root-cause identification (micro-stops, speed degradation, quality defects). Supervisor dashboard with action suggestions.
Typical ROI+3 to +8 OEE points on pilot lines
Continuous monitoring of dozens to hundreds of process signals (temperature, pressure, flow, motor current). Early alert on drift before non-conformity is produced. Statistical or deep-learning models per process nature.
Typical ROIMinus 20 to 50 percent scrap from process drift
Executable model of your line, used to simulate setting changes, test industrialization scenarios, train operators. Fed by your real data, continuously updated.
Typical ROIMinus 30 to 60 percent industrialization time on new product
Automatic identification of visible defects on finished or in-process parts. Models trained on your specific defects, capable of running at the edge with no cloud connection.
Typical ROIMinus 70 to 90 percent customer defects, control reliability above 95 percent
Classic control charts enriched with algorithms that catch complex patterns invisible to Western Electric rules. Earlier alerts, fewer false positives.
Typical ROIMinus 30 to 50 percent time between drift onset and reaction
Automatic reconstruction of a part or batch history from heterogeneous sources (ERP, MES, LIMS, scanned paper documents). Natural-language querying.
Typical ROIMinus 80 percent quality investigation time, customer report in hours rather than days
Model that, during manufacturing, estimates the probability that the in-process part will end up non-conforming, based on process, material and environmental parameters. Allows correction before it is too late.
Typical ROIMinus 25 to 50 percent internal non-conformities
Analysis of vibration, thermal, motor-current or process signals to anticipate failures at 24 to 72 hours. Models trained on your equipment fleet, continuously retrained.
Typical ROIMinus 40 to 70 percent unplanned stops, +10 to +20 percent MTBF
Assistant that exploits your failure history, work orders, field returns and technical documentation to help build and maintain your FMECA. Suggests criticality scores, root causes and corrective actions on a factual basis.
Typical ROIMinus 50 percent FMECA build time, better failure-mode coverage
Optimization of preventive and corrective intervention scheduling, accounting for production constraints, technician availability, parts inventory and criticality.
Typical ROIMinus 15 to 25 percent total maintenance cost, +5 percent line availability
Quantified evidence of failures avoided thanks to predictive models. Reconciliation between alerts emitted, interventions performed and avoided cost.
Typical ROIProject ROI visible at month 6 with accounting traceability
Statistical and deep-learning models for short, medium and long-term forecasting. Integrates external signals (seasonality, weather, macro indicators) and internal events.
Typical ROIMinus 20 to 40 percent MAPE error vs. Excel, minus 15 percent average stock
Dynamic calculation of reorder points, safety stocks and economic quantities, accounting for real demand variability and supplier lead times. No flat-rate rules.
Typical ROIMinus 10 to 25 percent total stock, maintained or improved service rate
Route planning and multi-modal choice to reduce cost and footprint. Accounts for delivery windows, vehicle capacity and customer constraints.
Typical ROIMinus 8 to 15 percent transport cost
Automatic mapping of supplier chain beyond tier 1, from public data, invoices and technical documents. Identification of hidden disruption risks.
Typical ROIEarly detection of critical disruptions, shift from yearly to continuous mapping
Automatic construction of experimental plans (factorial, response surface, D-optimal) accounting for real lab or workshop constraints. ANOVA analysis, predictive models and next-experiment suggestion.
Typical ROIMinus 40 to 70 percent number of trials to optimize a formulation or process
Search for candidate compositions, formulations or process parameters from public and internal databases. Useful in chemistry, metallurgy, composites, plastics.
Typical ROISignificant reduction in initial exploration time, better physical-trial prioritization
Assistant exploiting your test reports, patents, papers, theses and internal notes to answer technical questions while citing sources. Role-based access, full traceability.
Typical ROIMinus 60 percent internal bibliographic review time
Assisted drafting of process sheets, manuals, validation files, from structured project data. Human in the loop, never without review.
Typical ROIMinus 40 to 60 percent documentation drafting time
Domain 2
Five families, seventeen use cases for the teams that keep the business running.
Intelligent extraction of invoice, expense report and bank statement data, with automatic consistency check and pre-filled allocation. Direct ERP integration.
Typical ROIMinus 70 to 90 percent data entry time, reliability above 99 percent
Automatic matching of bank entries with customer and supplier accounts. Treatment of ambiguous cases with matching suggestions.
Typical ROIMinus 80 percent monthly reconciliation time
Short and medium-term forecasting from historical data, order book, deadlines and real customer payments. Testable stress scenarios.
Typical ROIReliable anticipation at 60 to 90 days, better banking negotiation
Dashboards that auto-update, queryable in natural language. The CFO asks a question, gets the quantified answer with calculation details.
Typical ROIMinus 70 percent management committee preparation time
Targeted search for rare profiles from internal databases, CV banks and public sources. Fine-grained matching with the job description, GDPR-compliant processing.
Typical ROIMinus 40 to 60 percent sourcing time
Tailored welcome path for new hires: relevant resources, targeted training, virtual companion for routine questions.
Typical ROIMinus 30 percent time-to-autonomy, +20 percent new-hire satisfaction
Training recommendations based on real needs identified in activity. Impact tracking. Useful for workforce planning and sector regulatory obligations.
Typical ROIBetter training budget allocation, measurable performance impact
Design of a unified data foundation (data lake, data warehouse, data mesh per maturity). Multi-source ingestion, catalog, governance, security.
Typical ROIMinus 60 percent data access time, foundational for all AI use cases
Build, test, deployment and monitoring pipelines for AI models. Version management, drift monitoring, automatic retraining.
Typical ROIReliable POC-to-production transition, controlled technical debt
Access control, audit, anonymization, abuse detection. AI Act and GDPR compliance.
Typical ROIDocumented regulatory compliance, reduced legal risk
Internal assistant exploiting company documentation (procedures, manuals, project history) with fine-grained access control. Precise search, source traceability.
Typical ROIMinus 60 to 80 percent internal documentary search time
Automatic analysis of sensitive clauses, comparison to a house reference, anomaly detection. Accelerates reviews without replacing them.
Typical ROIMinus 40 to 60 percent initial review time
Continuous watch on active contracts, deadline alerts, anomalies and compliance-affecting events.
Typical ROIZero missed deadlines, better defense in case of dispute
Automatic tracking of relevant normative, regulatory and case-law developments. Weekly synthesis with impact assessment.
Typical ROIMinus 70 percent manual watch time
Consolidated spend analysis by category, identification of rationalization opportunities, supplier scoring on multiple criteria (price, quality, risk, sustainability).
Typical ROIMinus 5 to 12 percent category purchasing cost
Estimation of target cost for a part or service from technical decomposition (material, labor, energy, depreciation, margin).
Typical ROIMinus 3 to 8 percent gain on treated categories
Assisted negotiation preparation: market benchmark, supplier history, identified leverage points, scenario simulation. Human decides, AI advises.
Typical ROIBetter posture, better-documented decisions
FAQ
BCUB3 works across two domains: industrial operations (production, quality, maintenance, supply chain, R&D) and cross-functional teams (Finance, HR, IT, legal, procurement). Thirty-eight AI use cases are documented with typical field-observed ROI.
Three phases. Data & AI Diagnostic (IT mapping, identification of priority use cases, budgeted roadmap). End-to-end integration of selected use cases with full code and model handover. Team training for complete autonomy. Public pricing details on the home page.
Vision-based defect detection: large reduction in customer non-conformity. Predictive maintenance: significant drop in unplanned downtime. Process anomaly detection: less scrap from drift. AI scheduling: better capacity utilization. Specific figures per use case in the grid above.
Vendor-agnostic stack. Models: Claude, GPT, Gemini, Mistral, LLaMA, Qwen, DeepSeek. Vector DBs: Qdrant, pgvector. Orchestration: LangGraph, Temporal, MCP. Classical ML: XGBoost, scikit-learn, PyTorch. Industrial: OPC-UA, Modbus, EWMA, CUSUM. Each pick is justified case by case, never imposed.
For each brick (model, infrastructure, vector DB, edge hardware), BCUB3 documents the technical choice and keeps it replaceable. No vendor lock-in. Source code and trained models are handed over to the client at end of mission.
Both. Beyond software (LLMs, RAG, agents), BCUB3 selects and deploys the edge hardware needed for production AI: Nvidia Jetson, Raspberry Pi, Coral TPU, vibration, temperature and vision sensors, industrial gateways. A sourced edge catalogue with weekly price history is maintained.
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