LLM Reference
Unbox AI

Unbox AI

Research profile; release coverage pending verification

Researched 19d agoFlagship Q/$ unavailable — link an active model with benchmark and list pricing.

Predicting behavior with AI

Unbox AI does not have active models tracked in LLMReference yet — browse families below or jump to a model index when you already know which model you need.

Covers 0 workload areas across 0 active tracked models; last verified 2026-06-29.

Use it for

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  • Production picks until at least one active model is linked

Active models

0

Current models from this lab, excluding deprecated ones

Active families

0

Current model families from this lab

Open catalog

0 open

0 open source / 0 open weights

Lowest output price

Not tracked

No provider output pricing linked yet

Latest dated release

None

No confirmed release dates yet

Freshness

2026-06-29

Researched 19d ago

fresh

Information

Founded2022
Palo Alto, California, United States

Release cadence

No confirmed release dates yet — browse families for roadmap context.

Where this lab wins

Not enough capability or benchmark coverage yet to call strengths for this lab.

Flagship quality / price signal

No flagship economics yet — this lab needs at least one active tracked model.

Unbox AI is an American AI research organization founded in 2022. Predicting behavior with AI. Unbox AI's model catalog is being expanded as public releases are verified and linked to stable pages. This page tracks the lab's public profile, known focus, related organizations, and catalog coverage status. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added.

About

Unbox AI, established in 2022 and located in Palo Alto, California, specializes in creating advanced AI models designed to understand and predict human behavior and transactions. Their methodology incorporates state-of-the-art natural language understanding (NLU) and generative AI techniques, with the goal of developing a 'master AI model' to unlock synergies within various business sectors. The company aims to apply these models across diverse industries, enhancing decision-making processes and improving user experiences. At the heart of Unbox AI's technology is the development of state-of-the-art AI models built upon transformers and unsupervised learning. These models are used to create applications such as BehaviorGPT, which anticipates future actions based on past behaviors, personalized search and recommendation systems tailored to individual user preferences, and tools for cross-selling and SEO optimization based on predicted search trends. Additionally, they provide master data optimization solutions to enhance data integrity and usability. Unbox AI received $125,000 in pre-seed funding from Y Combinator on August 31, 2021. The company has presented its work at events like the MIT AI Conference, and their co-founder, Rickard Brüel Gabrielsson, is actively involved in discussions and presentations about AI advancements and applications. While the total funding amount remains undisclosed, their participation in notable events and partnerships indicates significant progress and impact in the AI field.

Model families

No model families are linked to this researcher yet. Browse all models.

Recent releases

No dated model releases are linked yet. Review the changelog.

FAQ

Who founded Unbox AI and when?

Unbox AI was founded in 2022 and is associated with Palo Alto, California, United States.

What models has Unbox AI released?

Unbox AI does not yet have linked model pages in LLMReference; this profile tracks the lab while model entries are verified.

Is Unbox AI's technology open source?

LLMReference does not yet have enough model license data to classify Unbox AI's releases.

Where is Unbox AI headquartered?

Unbox AI is headquartered in Palo Alto, California, United States.

What is Unbox AI known for?

Predicting behavior with AI.

How can I access Unbox AI's models?

Unbox AI's provider availability is tracked on model pages as API and hosting data is verified.

Explore related pages

Last reviewed: 2026-06-29. Data sourced from public lab announcements and provider documentation.