New Line Design Validation
Test layout, buffer, and staffing assumptions before physical build.
We engineer digital twin platforms that mirror your production lines in real time — letting you test layout changes, simulate bottlenecks, and optimize processes on the virtual floor before touching the physical one.
Trusted by global innovators
A digital twin is only useful if it stays in sync with reality. We build twins that ingest live PLC, sensor, and MES data, update a physics-aware 3D model in real time, and expose a simulation sandbox where engineers test changes risk-free before they reach the floor.
Common friction points we hear from manufacturing teams scoping this kind of platform.
Expensive Trial-and-Error: Layout changes, new product introductions, and line balancing are tested on live production — costing downtime and scrap.
Static CAD Models: Engineering drawings don't reflect the actual state of equipment, tooling, and material flow on the floor today.
Disconnected Simulation: Standalone simulation tools require manual data entry and never stay current with the real plant.
Capacity Guesswork: Capacity planning relies on spreadsheet models that miss the interactions between stations, buffers, and changeovers.
We engineer for the operational reality — not the demo.
A real-time 3D model that reflects current machine states, WIP positions, and sensor readings — not a static CAD render.
Clone the twin, change parameters, run accelerated simulation, and compare KPIs before committing to the physical change.
Discrete-event and agent-based simulation engines that capture station cycle times, buffer dynamics, and failure distributions.
Production-grade features the platform ships with from day one.
WebGL-rendered factory twin synced to live PLC and sensor data.
Model station cycle times, buffers, conveyors, and operator movements with stochastic distributions.
Clone, modify, and run accelerated simulations to compare layout, staffing, and scheduling changes.
Automatic identification of throughput constraints with sensitivity analysis.
Optimization of task allocation across stations for mixed-model production.
Model energy consumption per scenario to find efficiency gains before investing.
Validate PLC logic and control sequences against the virtual line before physical install.
Long-horizon capacity forecasts that account for product mix, changeovers, and maintenance windows.
How data and decisions flow end-to-end.
OPC-UA, MQTT, and MES APIs feed live machine state into the twin engine.
Maintains an authoritative, time-stamped model of every asset, WIP item, and sensor.
Discrete-event and agent-based engines for scenario execution and optimization.
WebGL-based visualization with drill-down from plant overview to individual station.
KPI comparison, bottleneck heatmaps, and scenario comparison dashboards.
A pragmatic stack chosen for reliability, speed, and ease of operation.
Quantified outcomes from production deployments.
Through virtual validation before physical install.
From simulation-guided line balancing and layout changes.
What-if scenarios replace costly floor experiments.
Scenario runs in minutes instead of weeks of spreadsheets.
An automotive OEM needed to validate a new mixed-model assembly line before breaking ground on a $120M facility expansion. We built a sensor-synced digital twin of the existing line and modeled the proposed additions.
Engineers ran 200+ what-if scenarios in three weeks, identified a buffer sizing issue that would have caused a 15% throughput gap, and adjusted the design before concrete was poured — saving an estimated $8M in post-commissioning rework.
Common deployment patterns we see across customers.
Test layout, buffer, and staffing assumptions before physical build.
Model the impact of new product variants on existing line throughput.
Simulate the throughput cost of different PM scheduling strategies.
Find optimal operator counts and skill mixes across shifts.
Simulate AGV routing, fleet size, and charging strategies.
Validate PLC and robot programs against the twin before go-live.
We connect to the systems your teams already know.
We build secure, scalable products designed for privacy, interoperability, and regulatory readiness from day one across every sector we serve.
Verified controls for security, availability, and confidentiality of enterprise data systems.
Adhering to the international gold standard for managing information security risks.
Ensuring consistent quality in software delivery and operational process optimization.
We combine deep technical expertise with industry-specific knowledge to deliver solutions that aren't just functional, but transformational.
We implement rigorous security protocols and compliance standards (HIPAA, GDPR, SOC2) across all industrial solutions to protect sensitive data.
Our architectures are built to handle massive data loads and user bases, ensuring seamless performance whether you're serving ten or ten million.
Leveraging our suite of internal tools and proven frameworks, we reduce development cycles and get your product to market 40% faster.
Beyond simple wrappers, we build deep-learning integrations and predictive analytics directly into the core of your industry-specific workflows.
Predictable, structured delivery from kickoff through long-term ownership.
We map the existing systems, constraints, and stakeholders to scope a focused 8–12 week first delivery.
A working slice on a representative environment — proving the data flow end-to-end before scaling.
Hardened services, observability, access controls, and audit logging go live behind your IAM.
We stay on as the embedded engineering team — closing tickets, tuning models, and shipping new value.
We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.
"I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly."

Founder, Benchmark
"Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together."

Founder, My Lauren
"Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective."

Founder, Latimer
Explore other production-grade engineering platforms we deliver across manufacturing.
The technical patterns behind this platform translate naturally into adjacent verticals.
We engineer production-grade manufacturing platforms end-to-end. Talk to us about scoping a focused 8-week pilot.