Services
AI/ML & LLMs
Plenty of teams can demo a chatbot. The hard part is the day after - keeping it accurate, watching what it does, and paying a sane bill. That's the part we're good at: RAG, agents and ML models, with the MLOps to keep them honest.
What we do
Generative AI & RAG
Embeddings, vector search, dynamic prompting and AI-judge evaluation - chat and analytics over your own data.
Multi-agent systems
LangGraph / Google ADK agents with tool orchestration (MCP) for scheduling, retrieval and operations workflows.
Machine learning
Forecasting, risk, churn, segmentation and classification models built with rigorous validation.
MLOps
Model versioning, automated retraining and PR-triggered promotion across workspaces with MLflow and CI/CD.
Conversational analytics
Natural-language querying of business data, turning questions into SQL, charts and summaries.
Outcomes
- 300% average ROI documented on AI deployments
- 60% reduction in support resolution time via intelligent routing
- 200K+ interactions/month handled in production
- ~40% less manual model-retraining effort
Stack
Questions
Do you build production AI or just prototypes?+
Production. Every engagement targets a system with monitoring, evaluation and retraining - we measure ROI, not demo wow.
Can you work with our existing data?+
Yes. RAG and analytics sit on top of your data; we handle ingestion, governance and the retrieval layer.