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Codvo.ai builds AI systems for industrial and enterprise operations—integrating LLMs, RAG pipelines, and agentic workflows (LangGraph) into existing software stacks. The tech stack spans SAP, Honeywell, SCADA systems, and cloud infrastructure (AWS/Azure/GCP with Kubernetes), paired with ML inference tooling (NVIDIA, TensorRT, FAISS). Hiring is heavily skewed toward senior engineering and data talent across three continents, with acute focus on compliance, predictive maintenance, and continuous monitoring—indicating they're solving for regulated industries where AI pilots must become production workloads.
Tech Stack 200 technologies
Core StackSAP AWS Terraform CloudFormation Docker Kubernetes LangChain Prometheus OpenAI Python C++ Honeywell AVEVA OSIsoft PI SCADA Azure GCP Bicep AWS EKS Azure Kubernetes Service LangGraph Langfuse Mistral Qwen FAISS Qdrant NVIDIA Jetson DeepStream TensorRT CUDA+170 more
What Codvo.ai Is Building
◆Challenges
- Compliance with healthcare standards
- Enhancing subsurface modeling
- Implementing predictive maintenance
- Optimizing performance and cost
- Regulatory compliance for ai medical devices
- Continuous compliance
- High-volume real-time data ingestion
- Platform modernization initiatives
- Compliance testing
- Performance reliability
▲Active Projects
- Rag pipeline development
- Data lakehouse architecture design
- Automated compliance checks and sbom generation
- Secure ci/cd pipeline implementation
- Langgraph agentic workflow implementation
- Machine learning inference pipelines
- Protocol bridge configuration for bms
- Deliver predictive models for rotating and static assets
- Llm integration
- Automated test framework for secure sdlc validation
Hiring Activity
190 roles · 50 in 30d
Department
Seniority
Notable leadership hires: Delivery Lead, Technical Lead, Engagement Lead, Tech Lead Full Stack, Sales Director
Company intelligence
