Is BentoML or OutThink a better fit for DataAI?

BentoML ($20M funding, 51-200 employees) suits teams already selling into a similar ICP. OutThink ($10M funding, 51-200 employees) suits teams already selling into a similar ICP.

What do BentoML and OutThink actually do?

BentoML BentoML is an enterprise-grade AI inference platform that enables engineering and data science teams to deploy, manage, and scale any AI model—including LLMs, embeddings, and agentic pipelines—across cloud, on-prem, or hybrid environments. Now part of Modular following acquisition, it serves AI-forward organizations seeking tailored inference optimization and infrastructure control without operational complexity. OutThink OutThink is an AI-native cybersecurity human risk management SaaS platform offering adaptive security awareness training, AI-powered phishing simulation, behavioral analytics, and human risk intelligence to enterprise organizations. They serve CISOs and security teams at large enterprises across banking, industrial, and technology sectors, and are recognized by Gartner Peer Insights as the top-rated security awareness solution for three consecutive years.

Which has more funding, BentoML or OutThink?

BentoML reports $20M; OutThink reports $10M. Kustiq pulls funding from public announcements, SEC filings, and crunchbase-equivalent feeds, then attaches the most recent disclosed number to the snapshot.

How fresh is the data on BentoML vs OutThink?

BentoML was pulled fresh from the live web; OutThink was pulled fresh from the live web. Each profile is re-pulled from public sources when someone re-runs it: the live site, tech fingerprints, funding announcements, hiring activity. Nothing comes from a stale list of records sitting in a database.

How does Kustiq compare BentoML to OutThink?

Kustiq pulls a profile from each domain's site, tech fingerprints, funding mentions, and hiring data, classifies it across 22 verticals and 88 segments, then puts BentoML and OutThink on the same row for funding, headcount, customers, and stack. Free to run, no account. Each side shows its own last-verified date, and re-running a profile updates the pair.

Comparison

BentoML vs OutThink

Kustiq lines up BentoML and OutThinkon tech stack, hiring posture, funding, and customer signals in 60 seconds, stamped with each profile's last-verified date, free to compare and from $0.20 to profile your own.

Profiled by KustiqRefreshed 4 months agoFree · 1 / week no signup · 3 / week with account

BentoML

bentoml.com

BentoML is an enterprise-grade AI inference platform that enables engineering and data science teams to deploy, manage, and scale any AI model—including LLMs, embeddings, and agentic pipelines—across cloud, on-prem, or hybrid environments. Now part of Modular following acquisition, it serves AI-forward organizations seeking tailored inference optimization and infrastructure control without operational complexity.

DataAIAI/ML Platform

OutThink

outthink.io

OutThink is an AI-native cybersecurity human risk management SaaS platform offering adaptive security awareness training, AI-powered phishing simulation, behavioral analytics, and human risk intelligence to enterprise organizations. They serve CISOs and security teams at large enterprises across banking, industrial, and technology sectors, and are recognized by Gartner Peer Insights as the top-rated security awareness solution for three consecutive years.

CybersecurityMSP/MSSP

BentoML deploys AI models across cloud and on-prem; OutThink delivers phishing simulation for enterprise banking sectors.
BentoML raised $20M seed funding; OutThink secured $10M seed for cybersecurity awareness training.
BentoML serves data science teams optimizing LLM inference; OutThink ranks top-rated by Gartner for three consecutive years.

Dimension	BentoML	OutThink
Vertical	DataAI	Cybersecurity
Segment	AI/ML Platform	MSP/MSSP
Founded
Employees	51-200	51-200
Location
Funding	Seed ($20M)more funded	Seed ($10M)
G2 rating
Pricing page

Known competitors

BentoML

AnyscaleVertexAI

OutThink

KnowBe4armorpoint.com

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