End-to-End AI Product Development
- UI/UX for AI SystemsDesign intuitive interfaces that make complex AI outputs actionable for end-users, with explainability features and interactive visualizations.
- Data Annotation & LabelingManaged labeling services with quality control pipelines for computer vision (image/video), NLP (text/audio), and sensor data with 99.5% accuracy SLA.
- Model Training & OptimizationCustom model development using TensorFlow, PyTorch, and proprietary frameworks with hyperparameter optimization and quantization for deployment.
- Edge AI DeploymentOptimize models for edge devices (Jetson, Coral, Raspberry Pi) with pruning, distillation, and hardware-aware architecture search.
Generative AI Services
- Custom LLM DevelopmentFine-tune foundation models (GPT-4, Claude, Llama 2) on your proprietary data with RAG architectures for domain-specific knowledge.
- Conversational AI SystemsMulti-modal assistants with voice, text, and visual interfaces supporting 100+ languages with contextual memory and emotional intelligence.
- Small Language ModelsSpecialized models under 1B parameters for cost-sensitive applications with comparable performance to larger models in narrow domains.
- RAG ImplementationsBuild knowledge retrieval systems with vector databases (Pinecone, Weaviate) and semantic search augmented generation pipelines.
- Content TransformationAutomate document processing (OCR+NLU), video summarization, meeting transcription with speaker diarization and action item extraction.
- Autonomous AgentsMulti-agent systems with planning, tool use, and self-correction capabilities for supply chain, customer service, and IT operations.
AI Operationalization
- MLOps PlatformEnd-to-end pipeline management from experiment tracking (MLflow) to model serving (Triton) with canary deployments and A/B testing.
- AI GovernanceModel cards, bias detection, explainability dashboards, and compliance frameworks for regulated industries (HIPAA, GDPR).
