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TensorOps Tech Stack
AI and ML services for AdTech, publishing, and cybersecurity
TensorOps is a 11–50 person AI consulting and deployment shop founded in 2022, operating across AdTech, digital publishing, cybersecurity, and cloud hosting. The stack reveals a production-focused engineering culture: PyTorch, Hugging Face, LangChain, and LangGraph sit alongside MLflow and Langfuse (experiment tracking and observability), paired with Kubernetes and cloud-native deployment (AWS, GCP, Azure, SageMaker, Bedrock, Vertex AI). They're adopting LoRA for parameter-efficient fine-tuning—a tactical move that aligns with their active projects around domain-specific LLM customization and cost-optimized inference.
Tech Stack 32 technologies
Core StackPython FastAPI Docker Kubernetes PyTorch Hugging Face Pandas LangChain MLflow AWS Elasticsearch SageMaker Vertex AI TensorFlow Kubeflow scikit-learn LightGBM CatBoost Polars LangGraph Langfuse GCP OpenSearch Solr Bedrock LlamaIndex Azure LLaMA Mistral Hugging Face Transformers+1 more
AdoptingLoRA
What TensorOps Is Building
◆Challenges
- Domain-specific accuracy
- Self-hosted deployments
- Performance beyond out-of-the-box
- Building first dedicated marketing function
- Defining go-to-market strategy
▲Active Projects
- Conversational copilots
- Autonomous agentic systems
- High-performance search & recommendation
- Generative ai chatbots
- Time series forecasting
- Mlops pipeline improvement
- Fine-tuning pre-trained llms for domain-specific use cases
- Optimising training for cost and performance
- Deploying fine-tuned models for inference
- Building marketing engine
Hiring Activity
6 roles · 3 in 30d
Department
Seniority
Company intelligence
