Who this is for: engineering teams choosing where to run open and proprietary models in production, and what's changed in the category since inference became a venture-funded arms race in its own right.
A practical, sourced comparison for data and ML teams evaluating synthetic data tools in 2026, the year the category's best-known startup, Gretel, stopped existing as an independent company.
A market bigger than the number is theoretical, and that's exactly the point — Anthropic isn't pitching a revenue forecast, it's pitching what kind of company it wants to be priced as.
Cisco AI Defense, Palo Alto Networks Prisma AIRS, Lakera, HiddenLayer, TrueFoundry, NVIDIA NeMo Guardrails, and Guardrails AI compared after a year of acquisitions reshaped the category.
LangGraph, CrewAI, Microsoft Agent Framework, OpenAI Agents SDK, Google ADK, LlamaIndex Workflows, and AG2 compared on control model, deployment, and real production cost.
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