From Chaos
To Intelligence
We don't sell magic boxes. We sell engineered systems. Building the data infrastructure and custom models to turn AI into a reliable business asset.
Engineers, Not Wrappers.
The market is flooded with "API Wrappers" that just send prompts to ChatGPT. We build context-aware systems. We own the dirty work: ingestion, cleaning, and training.
The 80% Rule
AI is 20% model and 80% data engineering. Before we build the brain, we build the pipeline that feeds it. Garbage in, garbage out.
The XY Problem
Clients often ask for X (a chatbot) when they have problem Y (poor search). We diagnose the root cause before writing a single line of code.
Production Ready
We don't deliver Jupyter Notebooks. We deliver Docker containers, API endpoints, and dashboards capable of handling 10,000 requests/minute.
Engineers, Not Wrappers.
The market is flooded with "API Wrappers" that just send prompts to ChatGPT. We build context-aware systems. We own the dirty work: ingestion, cleaning, and training.
The 80% Rule
AI is 20% model and 80% data engineering. Before we build the brain, we build the pipeline that feeds it. Garbage in, garbage out.
The XY Problem
Clients often ask for X (a chatbot) when they have problem Y (poor search). We diagnose the root cause before writing a single line of code.
Production Ready
We don't deliver Jupyter Notebooks. We deliver Docker containers, API endpoints, and dashboards capable of handling 10,000 requests/minute.
Engineers, Not Wrappers.
The market is flooded with "API Wrappers" that just send prompts to ChatGPT. We build context-aware systems. We own the dirty work: ingestion, cleaning, and training.
The 80% Rule
AI is 20% model and 80% data engineering. Before we build the brain, we build the pipeline that feeds it. Garbage in, garbage out.
The XY Problem
Clients often ask for X (a chatbot) when they have problem Y (poor search). We diagnose the root cause before writing a single line of code.
Production Ready
We don't deliver Jupyter Notebooks. We deliver Docker containers, API endpoints, and dashboards capable of handling 10,000 requests/minute.
Targeted Solutions
We don't use a hammer for every screw. Select your industry.
Common Pain Points
- "Machine downtime"
- "Human error in quality checks"
Predictive Maintenance AI
Predict breakdown 72 hours in advance using sensor data. Fix it during lunch, not during a rush.
Computer Vision Quality Control
Automate visual inspection to catch 99.9% of defects without slowing the line.
From Passive Reporting
To Active Decarbonization.
Modern ESG isn't about scrubbing spreadsheets for a PDF report. It's about data engineering. We implement an AI-driven intelligence layer that sits on top of your ERP and IoT feeds to automate the math and find carbon leaks in real-time.
The 'Glass Box' Principle
We strictly separate AI reasoning from math. Our Deterministic Calculation Engine handles the numbers using audit-grade emission factors (eGRID, DEFRA), while AI handles the context.
The 'Watchdog' Engine
Stop reporting on emissions 6 months after they happen. Our anomaly detection engine spots 'Carbon Leaks' (e.g., HVAC spikes) in real-time, preventing compliance failures.
Strategic Scenario Planning
Don't just track history. Simulate the future. Ask the Platform: 'How does switching our APAC logistics fleet to EV impact our 2030 Net Zero trajectory?'
Reactive Reporting
Reporting on emissions 3–6 months after.
Fragile Spreadsheets
Manual data entry prone to broken formulas.
Opaque "Black Box"
"Trust us, this is the number" with no audit trail.
Proactive Intelligence
Real-time anomaly detection alerts.
Robust Pipelines
Automated ingestion with immutable audit trails.
Transparent Evidence
"Here is the number, and here is the invoice."
From Passive Reporting
To Active Decarbonization.
Modern ESG isn't about scrubbing spreadsheets for a PDF report. It's about data engineering. We implement an AI-driven intelligence layer that sits on top of your ERP and IoT feeds to automate the math and find carbon leaks in real-time.
The 'Glass Box' Principle
We strictly separate AI reasoning from math. Our Deterministic Calculation Engine handles the numbers using audit-grade emission factors (eGRID, DEFRA), while AI handles the context.
The 'Watchdog' Engine
Stop reporting on emissions 6 months after they happen. Our anomaly detection engine spots 'Carbon Leaks' (e.g., HVAC spikes) in real-time, preventing compliance failures.
Strategic Scenario Planning
Don't just track history. Simulate the future. Ask the Platform: 'How does switching our APAC logistics fleet to EV impact our 2030 Net Zero trajectory?'
Reactive Reporting
Reporting on emissions 3–6 months after.
Fragile Spreadsheets
Manual data entry prone to broken formulas.
Opaque "Black Box"
"Trust us, this is the number" with no audit trail.
Proactive Intelligence
Real-time anomaly detection alerts.
Robust Pipelines
Automated ingestion with immutable audit trails.
Transparent Evidence
"Here is the number, and here is the invoice."
From Passive Reporting
To Active Decarbonization.
Modern ESG isn't about scrubbing spreadsheets for a PDF report. It's about data engineering. We implement an AI-driven intelligence layer that sits on top of your ERP and IoT feeds to automate the math and find carbon leaks in real-time.
The 'Glass Box' Principle
We strictly separate AI reasoning from math. Our Deterministic Calculation Engine handles the numbers using audit-grade emission factors (eGRID, DEFRA), while AI handles the context.
The 'Watchdog' Engine
Stop reporting on emissions 6 months after they happen. Our anomaly detection engine spots 'Carbon Leaks' (e.g., HVAC spikes) in real-time, preventing compliance failures.
Strategic Scenario Planning
Don't just track history. Simulate the future. Ask the Platform: 'How does switching our APAC logistics fleet to EV impact our 2030 Net Zero trajectory?'
Reactive Reporting
Reporting on emissions 3–6 months after.
Fragile Spreadsheets
Manual data entry prone to broken formulas.
Opaque "Black Box"
"Trust us, this is the number" with no audit trail.
Proactive Intelligence
Real-time anomaly detection alerts.
Robust Pipelines
Automated ingestion with immutable audit trails.
Transparent Evidence
"Here is the number, and here is the invoice."
The Upstatiq Lifecycle
We eliminate the "Black Box" fear with a transparent, pilot-first approach. We transition you from Hype AI to Production AI.
The Blueprint
Discovery & Spec. We define Inputs, Outputs, and Success Metrics (Accuracy/Latency). No ambiguity.
The Pilot (MVP)
We take a data slice and build a functional prototype to validate results with your experts.
Production Engineering
Containerization, API Wrappers, Queue Management, and Security. The "Iceberg" beneath the model.
Scale & Maintenance
Active monitoring for Model Drift and automated retraining pipelines.
The Upstatiq Lifecycle
We eliminate the "Black Box" fear with a transparent, pilot-first approach. We transition you from Hype AI to Production AI.
The Blueprint
Discovery & Spec. We define Inputs, Outputs, and Success Metrics (Accuracy/Latency). No ambiguity.
The Pilot (MVP)
We take a data slice and build a functional prototype to validate results with your experts.
Production Engineering
Containerization, API Wrappers, Queue Management, and Security. The "Iceberg" beneath the model.
Scale & Maintenance
Active monitoring for Model Drift and automated retraining pipelines.
The Upstatiq Lifecycle
We eliminate the "Black Box" fear with a transparent, pilot-first approach. We transition you from Hype AI to Production AI.
The Blueprint
Discovery & Spec. We define Inputs, Outputs, and Success Metrics (Accuracy/Latency). No ambiguity.
The Pilot (MVP)
We take a data slice and build a functional prototype to validate results with your experts.
Production Engineering
Containerization, API Wrappers, Queue Management, and Security. The "Iceberg" beneath the model.
Scale & Maintenance
Active monitoring for Model Drift and automated retraining pipelines.
Engineer Your
Competitive Edge.
Stop analyzing. Start building. Book a technical discovery session to map your data infrastructure to real-world AI capabilities.
Data Audit
We assess your data readiness before suggesting a model.
Model Selection
We choose the right architecture for your specific KPI.