01 — Studio at the edge of physical & digitalINSILICO Digital LLC · Est. 2024
Transformingdata intodigital intelligence.
We engineer the connective tissue between machinery and meaning — digital twins, full-stack systems, advanced analytics and LLM-native workflows for the operations of tomorrow.
One world, two states — the physical & its instrumented twin.
We don’t bolt software onto factories. We rewrite the relationship between matter & model.
I.Principle
Twin first
Every system we build mirrors a real one — closing the loop between sensor, model and actuator.
II.Principle
Production-grade
If it can’t survive a 3am page, it doesn’t ship. Reliability is the only honest metric.
III.Principle
Human in the loop
AI assists; operators decide. Our interfaces are calibrated for the people who keep the lights on.
03 — Services
Four practices, one operating system.
Each service stands on its own; assembled together, they form a continuous loop from sensor to insight to action. Most of our engagements draw on two or three at once.
01
Digital Twin Development
Sophisticated, real-time replicas of physical systems — the substrate for every other capability we build.
01Real-time monitoring and visualization
02Predictive maintenance and failure prevention
03Process simulation and what-if scenarios
04Performance analytics and KPI tracking
05Integration with existing IIoT infrastructure
06Custom dashboards and reporting interfaces
02
Full-Stack Software
End-to-end platforms engineered for scale — from the database row to the pixel a plant manager taps at 2am.
01Custom web and mobile applications
02Responsive, system-grade frontend design
03Scalable backend architecture and APIs
04Database design and optimization
05Cloud infrastructure setup and management
06Continuous integration and deployment
03
Data Analytics
Statistics and machine learning that turn telemetry into decisions — and decisions into measurable lift.
01Advanced statistical analysis and modeling
02Machine learning model development
03Automated pattern recognition
04Predictive analytics and forecasting
05Custom metrics and KPI development
06Interactive data visualization dashboards
04
LLM Integration
Language models embedded into the workflows that already run your business — not parlour tricks, production.
01Custom LLM application development
02Integration with existing business processes
03Automated document processing and analysis
04Natural language interfaces and chatbots
05Content generation and summarization
06Intelligent search and recommendation systems
04 — Capabilities
The tech sheet. No filler.
A practical inventory. We pick the simplest stack that holds — and replace it the moment the workload outgrows it.
Twin Technology
01
Real-time simulation
Predictive maintenance
Process optimization
Virtual commissioning
PLM & IIoT integration
MindSphere-class loops
AI / Machine Learning
02
Computer vision
Natural language processing
Predictive modeling
AutoML pipelines
MLOps & monitoring
Edge inference
Engineering
03
Distributed systems
Event streaming (Kafka, Queues)
Postgres, Neon, Redis
Next.js · TypeScript · Python
Kubernetes & Fluid Compute
Observability by default
Digital Twins✦Predictive Maintenance✦Computer Vision✦MLOps✦LLM Integration✦IIoT✦Process Simulation✦Edge Inference✦Closed-loop Optimization✦AutoML✦Forecasting✦Natural Language Interfaces✦Digital Twins✦Predictive Maintenance✦Computer Vision✦MLOps✦LLM Integration✦IIoT✦Process Simulation✦Edge Inference✦Closed-loop Optimization✦AutoML✦Forecasting✦Natural Language Interfaces✦
05 — Studio
Three practices. One studio.
Founded by industry leaders who’d worked the same problem from three sides — operations, intelligence, software. INSILICO is the seam where those disciplines meet.
M
01 / 03
Manufacturing Operations
Operations.
Twenty years on the factory floor and in the cloud — pioneered MindSphere closed-loop digital twins, led digitalization across Fortune 500 plants, deep PLM and IIoT.
Industrial automation
PLM
IIoT
Closed-loop twins
A
02 / 03
ML / AI Research
Intelligence.
Computer vision and ML applied where the stakes are real — high-accuracy medical diagnostics, MLOps, AutoML — translated into industrial-grade systems.
Computer vision
MLOps
AutoML
Diagnostics
S
03 / 03
Software Engineering
Substrate.
Enterprise platforms built to last — scalable application architecture, cloud infrastructure, fintech-grade reliability across years of production load.
Architecture
Cloud-native
Fintech-grade
Reliability
06 — Begin
Let’s build something real.
Tell us what you’re trying to make true. We’ll come back with a sketch, a stack, and a number.