From AI strategy to production AI
Most AI initiatives stall after the proof-of-concept. SISMOO's AI consulting practice exists to push your AI projects across that final 80% — from strategy and model design to deployment, monitoring and continuous improvement.
How we engage
- AI strategy & roadmap — workshops to identify high-ROI use cases, prioritize and sequence them.
- Data readiness assessment — audit data quality, governance, infrastructure and gaps.
- Model design & prototyping — rapid POCs to validate feasibility and business impact.
- Production deployment — MLOps pipelines, model serving, A/B testing, monitoring.
- Custom LLM applications — RAG systems, AI agents, copilots and chatbots on top of OpenAI, Anthropic or open-source models.
- Embedded AI advisory — fractional Chief AI Officer for ongoing strategic guidance.
Use cases we've delivered
- Demand forecasting for hospitality and retail
- Recommendation engines for eCommerce
- Document understanding for finance and legal back-office
- AI sales agents for outbound prospecting
- Clinical decision support for hospital networks
- Anomaly detection for ERP transactions
Tech & partners
- OpenAI, Anthropic, Google Vertex AI, AWS Bedrock
- PyTorch, TensorFlow, scikit-learn
- LangChain, LlamaIndex, vector databases (Pinecone, pgvector, Weaviate)
- Hugging Face, Together AI for open-source model hosting
- MLflow, Weights & Biases, Arize for experimentation and monitoring
