AI Observability and security platform for ML and GenAI applications
Fiddler AI builds observability and guardrailing infrastructure for production AI systems. The stack spans Python, Kafka, Snowflake, Databricks, and LangChain—a production-grade foundation for monitoring and securing ML pipelines. The hiring mix is heavily weighted toward sales (14 roles) relative to engineering (7), with a disproportionate number of senior and staff positions—indicating a late-stage go-to-market push into enterprises managing AI risk at scale.
Fiddler AI provides an all-in-one platform for monitoring, explaining, and securing AI applications in production. The product encompasses model observability (visibility into ML and GenAI behavior), AI Security (the Trust Service, which includes guardrails and content moderation controls), and audit/compliance tooling. The company operates across two geographies (United States and India) and targets Fortune 500 organizations deploying AI agents, large language models, and ML systems. Active projects center on cloud partnerships, enterprise sales motions, and audit readiness—signaling a focus on regulated industries and organizations with strict AI governance requirements.
Python, Kafka, Snowflake, Databricks, Apache Airflow, LangChain, LlamaIndex, AWS, GCP, NVIDIA, and JavaScript. The stack reflects a production ML monitoring and GenAI orchestration foundation.
AI Observability (monitoring and explaining ML/GenAI applications), the Trust Service (guardrails and content moderation for AI agents), and audit/compliance tools. The platform targets Fortune 500 organizations managing AI risk and responsible deployment.
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