BentoML
NewOpen-source framework for building, shipping, and scaling AI applications
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- BentoML ranks #17 of 61 in MLOps Platforms with an AI visibility score of 5.4 (SlateIndex, Nov 2, 2026).
- BentoML is most visible on Google AI Mode (10.6) and least on Perplexity (2.8).
- AI engines name BentoML in 12 of the 30 MLOps Platforms buyer prompts SlateIndex tracks.
- databricks.com is the source AI engines cite most in answers about BentoML, with 5 citations.
About
Company details for BentoML
BentoML is an open-source framework for building, shipping, and scaling AI applications. It standardizes model packaging, model management, and inference APIs across major ML frameworks. Version 1.4 lets developers call deployed models whether they run on BentoCloud or on the customer's own infrastructure. It ranks #17 of 61 in MLOps Platforms on SlateIndex and has a visibility score of 5.4 in the latest weekly run.
It has raised about $9M. Its differentiator: automated containerization and traffic handling reduce manual Dockerfile work.
- Website
- bentoml.com
- Categories
- MLOps Platforms
- Founded
- 2019
- Company type
- Division of Modular AI
- Funding
- Series A · $9M raised
- Deployment
- Self-hosted or on BentoCloud
Read from techcrunch.com, g2.com, rfp.wiki, bentoml.com, cbinsights.com, appmaster.io · refreshed Nov 2, 2026.
AI visibility
Latest weekly run · Nov 2 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in MLOps Platforms. MLflow leads the category at 50.9%.
AI mentions & citations
Recent answers that name BentoML
What is the difference between an MLOps platform and a data science platform?
Typical Tools: MLflow, Kubeflow, BentoML, Airflow, Docker, Kubernetes, and enterprise cloud monitoring services.
How much does an MLOps platform cost per month?
Examples: MLflow, Kubeflow, ZenML (open-source core), and BentoML.
Which MLOps platform offers a free trial?
Open Source Options (Free indefinitely) : Tools like MLflow and BentoML are entirely open-source and free to self-host for complete control over your MLOps stack without expiration…
Which MLOps platform has transparent pricing?
Open-Source Tools (MLflow, ZenML, BentoML) — Pure open-source options are completely transparent because they are free ($0) to self-host.
How do I choose an MLOps platform for a mid-market team?
Velocity : Weigh the speed of deployment using a proprietary, all-in-one platform against the flexibility of open standards (like MLflow, Kubeflow, or BentoML) that allow you to migrate if your needs change down the…
What is the typical pricing model for MLOps Platforms software?
How it works: The core orchestration or tracking software is free and open-source (e.g., MLflow, Kubeflow, BentoML, ClearML Community).
Best MLOps platform for startups
BentoML · Docker · Cloud infrastructure
Top MLOps platform options for B2B SaaS companies
Early Stage / Small Team (<5 ML engineers): Lean toward MLflow for tracking and simple containerized deployments (like FastAPI or BentoML) to avoid a heavy operational tax.[](https://kodekloud.com/blog/top-mlops-tools/)
Products & features
What BentoML sells
BentoML
Open-source framework for building, shipping, and scaling AI applications, with model packaging, model management, and inference APIs.
BentoCloud
Platform where deployed BentoML models can run, alongside deployment on the customer's own infrastructure.
BentoML Codespaces
Development environment introduced in version 1.4, aimed at faster development cycles.
Strengths engines cite
- free and open-source, with no licence cost to self-host
- full control and transparency over the MLOps stack
- simple containerized deployment without heavy operational overhead
- open standards that allow migration if needs change
- suited to replacing MLflow's model-serving layer
Target market & buyers
Notable customers include LINE, Naver.
Funding & recent developments
Funding
| Round | Year | Amount |
|---|---|---|
| Seed | 2023 | $9M |
| Series A | — | — |
| Latest known round | Total raised |
|---|---|
| Series A | $9M |
Recent developments
- Feb 2026CompanyAcquired by Modular AI
CB Insights reports BentoML was acquired by Modular AI in February 2026.
- Dec 2025ProductAWS post on LLM inference with BentoML LLM-Optimizer
An AWS post covers optimizing LLM inference on SageMaker with BentoML's LLM-Optimizer.
- Sep 2025ProductMarkTechPost reports open-source llm-optimizer tool
MarkTechPost reported the open-source llm-optimizer tool.
Competitive landscape
How BentoML compares with its top three alternatives
BentoML most often appears alongside MLflow, Amazon SageMaker AI, Databricks in AI answers.
| Brand | Visibility | Share of voice | vs last week | Starting price |
|---|---|---|---|---|
| BentoML | 5.4% | 2% | New | Pricing not available |
| MLflow | 50.9% | 9.7% | New | Pricing not available |
| Amazon SageMaker AI | 44.4% | 8% | New | Pricing not available |
| Databricks | 46.2% | 7.6% | New | Pricing not available |
| Google Vertex AI | 33.1% | 7.2% | New | Pricing not available |
What AI answers say
Sentiment and themes from the answers that mention this brand
Positive 23% · Neutral 77% · Mixed 0% of 13 engine answers that mention BentoML
Praised for
- free and open-source, with no licence cost to self-host
- full control and transparency over the MLOps stack
- simple containerized deployment without heavy operational overhead
- open standards that allow migration if needs change
- suited to replacing MLflow's model-serving layer
Criticised for
Cite as: SlateIndex, “BentoML AI visibility profile”, https://slateindex.ai/brand/bentoml, data of Nov 2, 2026. Licence: CC BY 4.0.