Havoc was founded by senior data and AI engineers to close the gap between AI prototypes and production reality. We help enterprises design, deploy, and operate the data platforms, ML pipelines, and agentic AI systems they can actually run, govern, and trust.
Our mission is simple: make modern AI work in production. We bring the discipline of platform engineering to data and AI — so the systems we build don’t just demo well, they hold up under enterprise load, audit, and change.
Founder-led teams that pair senior engineering with the agility a new firm can offer — no offshore handoff, no junior-only delivery.
LLM deployment, fine-tuning, RAG pipelines, and Genie workspaces — designed for enterprise security, observability, and cost control.
Production-grade data pipelines on Databricks, Snowflake, and modern lakehouse stacks — built with lineage, quality, and CI/CD from day one.
Cloud-native architecture across AWS, Azure, and GCP — with infrastructure-as-code, governance, and right-sized cost from the start.
Comprehensive evaluation and monitoring strategies for ML models and data pipelines — catching drift, regressions, and quality issues before they reach production.
Co-Founder & Data/AI Engineer
Co-Founder & Platform Engineer
Co-Founder & ML Engineer
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