AI Platform
Scaling AI in the enterprise demands more than models.
​Polynom designs cloud-native, vendor-agnostic platforms built on open-source foundations — so you own your stack, your data, and your roadmap.
AI Infrastructure Is Inherently Complex
Multiple model providers, heterogeneous data sources, fragmented toolchains, no unified control plane. The result: slow iteration cycles, ungoverned model sprawl, and zero visibility into cost, performance, or security.
Fragmented Toolchains
Ungoverned Model Sprawl
Slow Time-to-Production
Security & Compliance Gaps
Beyond Pilots. Beyond Vendor Lock-In.
Our platform approach is a strategic operational layer — not an experiment. Cloud-native serverless patterns, open-source orchestrators, and sovereign-first design give enterprises full control: from model selection to production monitoring, with no hyperscaler dependency.
Open-Source First
Sovereign by Design
Production-Grade Scalability
Continuous Optimisation
Service
Description
Agentic Workflow Orchestration
Production-ready agentic pipelines via LangGraph and Pydantic AI, backed by Temporal and DBOS. Fault-tolerant, observable, built for long-running multi-step reasoning.
Model Serving & API Management
Unified access to any LLM — open-weight or proprietary — via LiteLLM and OpenRouter. One governed API layer with rate limiting, cost control, and full lifecycle management.
Governance, Security & Observability
Trace-level LLM observability, prompt lifecycle version control, secure code sandboxes (E2B), and end-to-end cybersecurity governance across the entire AI supply chain.
