Beyond the Hype: Applied AI
Artificial Intelligence is transformative — but only if applied correctly.
We move beyond generic “AI wrappers” to build proprietary Deep Tech solutions that solve your specific business challenges.
We make AI work for you — not the other way around.
R&D as a Service
Deep Tech requires experimentation. But businesses need predictability.
We bridge that gap.
1. Feasibility Study
Before you spend a dime on compute, we analyze:
- Data quality and availability
- Technical feasibility assessment
- Expected ROI modeling
- Build vs. buy recommendations
2. Data Engineering
AI is only as good as the data it feeds on.
- ETL pipeline development
- Data cleaning and normalization
- Feature engineering
- Privacy-preserving techniques
3. Model Selection & Training
We choose the right tool for the job:
| Use Case | Technology |
|---|---|
| Conversational AI | GPT-4, Claude, Llama 3 |
| Custom Domain Models | Fine-tuned SLMs |
| Document Analysis | RAG pipelines |
| Vision | YOLO, SAM, custom CNNs |
4. Production Deployment
MLOps that scales:
- Model versioning and A/B testing
- Real-time inference optimization
- Cost monitoring and management
- Continuous retraining pipelines
Use Cases
- Intelligent Search (RAG) — Chatbots that understand your business documents
- Predictive Maintenance — Using IoT data to predict equipment failure
- Automated Content — Scaling marketing with generative AI
- Process Automation — Intelligent document processing and workflows
The Bottom Line
Innovate harder. Innovate smarter.
