AI consulting and MLOps platform for enterprise transformation
Soothsayer Analytics operates as an AI consulting and solutions firm built around a proprietary GenAI platform (AuGENT). The tech stack reveals a mature, multi-cloud data science operation: AWS, Azure, GCP for infrastructure; Spark, Hadoop, and SQL for data processing; and a deep ML stack (TensorFlow, Keras, scikit-learn, pandas) paired with Azure OpenAI and GPT-4 for generative capabilities. Current hiring skews data and engineering (11 of 16 roles), with minimal velocity, suggesting either project-delivery mode or deliberate constraints on growth.
Notable leadership hires: Delivery Lead
Soothsayer Analytics helps Fortune 1000 enterprises build AI competency through consulting, platform services, and custom solutions. Founded in 2014 and headquartered in Livonia, Michigan, the firm operates across manufacturing, insurance, logistics, energy, healthcare, and retail. The company delivers a range of services from predictive analytics and plant efficiency optimization to GenAI-powered agents and autonomous decisioning systems. Their AuGENT platform-as-a-service handles no-code workflow design, retrieval-augmented generation, and reasoning for scaled enterprise deployment. Delivery spans strategy, training, and governance via a six-domain framework intended to embed lasting capability beyond pilots.
AuGENT is an enterprise GenAI platform-as-a-service offering no-code workflow design, advanced retrieval-augmented generation, and reasoning capabilities. It integrates Azure OpenAI and GPT-4 for secure, scalable AI deployment across large organizations.
Multi-cloud infrastructure (AWS, Azure, GCP), distributed processing (Spark, Hadoop, HDFS), ML frameworks (TensorFlow, Keras, scikit-learn), Azure OpenAI, GPT-4, and DALL-E 3. Currently adopting LangGraph for agentic workflows.
Hiring across United States, United Kingdom, India, and United Arab Emirates. Current open roles focus on engineering (6), data (5), and sales (2), with balanced mid and senior-level positions.
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