Your MES Talks to the Line. Your ERP Talks to Finance. We Make Them Talk to Each Other.

No. We are not a platform vendor competing with SAP, Siemens, or Rockwell. We are the engineering team that builds around, on top of, and between those platforms. Your SAP S/4HANA stays. Your Siemens Opcenter stays. We build the integration middleware, the AI layers, and the custom applications that make your existing investments work together. Think of us as the connective tissue between your enterprise systems.

Large IT services firms are excellent at staffing large teams and running multi-year programs. But if you need a focused, outcome-driven squad that can go from architecture to production AI in 10 to 20 weeks, you will find their model too slow and their bench too generalist. We are a consulting plus engineering partner. We advise, architect, and build with the same team. No "strategy-to-implementation" handoff. No rotating benches. Your project lead on day one is your project lead on go-live day.

This is our core strength. Most AI pilots fail not because the model is bad, but because nobody built the engineering infrastructure around it: the edge inference layer, the data pipeline, the integration with CMMS or MES, the operator interface, the MLOps pipeline for retraining. We take your existing models (or build new ones) and wrap them in production-grade infrastructure. Our IFB deployment handles 80,000+ real calls every month. That is production, not a pilot.

That is exactly what Tier 1 is designed for. Our 4 to 6 week Factory AI Readiness Assessment maps your current IT/OT architecture, evaluates data quality across plant sites, and delivers a prioritized set of AI use cases ranked by ROI and implementation complexity. You get a clear roadmap, not a vague strategy deck. Many of our Tier 2 engagements start this way, because the assessment reveals quick wins that fund the larger transformation.

Yes. Discrete manufacturing (automotive, electronics, consumer durables) and process manufacturing (chemicals, F&B, pharma) have different data signatures, different quality requirements, and different regulatory constraints. Our IFB work sits firmly in the discrete world (consumer durables). Our supply chain and logistics platforms serve both. We staff teams with engineers who understand the specific domain, not generalists who need three months to learn your terminology.

We respect the OT/IT boundary. Our architecture designs use DMZ-based data diode patterns, edge processing (so raw telemetry never leaves the plant network), and comply with IEC 62443 industrial cybersecurity standards. For highly regulated environments, we deploy models on local edge hardware with no cloud dependency. We work with your OT security team, not around them. Our Unilever deployment operates within their global IT security framework.