Core Technologies & Frameworks
What We Build
Production-grade AI systems designed for scale, security, and measurable business impact
Large Language Models
Custom LLM implementations, fine-tuning, RAG systems, and agentic workflows. From GPT-4 to open-source alternatives.
- Custom fine-tuning
- RAG architectures
- Multi-agent systems
- Prompt engineering
Computer Vision
Object detection, image classification, semantic segmentation, and video analysis at scale.
- Real-time detection
- Custom model training
- Edge deployment
- Video analytics
Predictive Analytics
Time series forecasting, anomaly detection, and predictive modeling for business intelligence.
- Demand forecasting
- Anomaly detection
- Churn prediction
- Risk modeling
Recommendation Systems
Personalization engines that drive engagement and revenue through intelligent content delivery.
- Collaborative filtering
- Content-based recs
- Hybrid approaches
- Real-time updates
MLOps & Infrastructure
End-to-end ML pipelines, model monitoring, and automated retraining systems.
- CI/CD for ML
- Model versioning
- Drift detection
- A/B testing
AI Governance & Safety
Bias detection, explainability, and safety measures for responsible AI deployment.
- Bias mitigation
- Model interpretability
- Safety guardrails
- Compliance frameworks
Our Approach
Rigorous, iterative, and always focused on production readiness
Discovery & Data Audit
We start by understanding your data landscape, business objectives, and technical constraints.
Rapid Prototyping
Quick iteration cycles to validate hypotheses and demonstrate value before full-scale development.
Production Deployment
Robust, scalable systems with monitoring, observability, and automated retraining pipelines.
Continuous Optimization
Ongoing model refinement, performance monitoring, and adaptation to changing data patterns.
Recent Work
Production AI systems delivering measurable impact
Clinical Decision Support System
Built an LLM-powered diagnostic assistant that processes medical literature and patient data to provide evidence-based treatment recommendations. Deployed across 15+ hospitals.
Fraud Detection Engine
Real-time anomaly detection system processing millions of transactions per day. Adaptive ML models that evolve with emerging fraud patterns.