Vectorview

About Vectorview

Vectorview provides custom capability evaluations for foundation models and LLM agents, utilizing automated red-teaming to assess safety, performance, and risk specific to user applications. This approach enables businesses to identify potential biases and operational risks in AI deployments before implementation.

```xml <problem> Businesses deploying foundation models and LLM agents face challenges in assessing safety, performance, and potential risks specific to their applications. General-purpose benchmarks may not accurately reflect real-world performance or uncover biases relevant to particular use cases. Identifying and mitigating these risks early is crucial to avoid operational issues and ensure responsible AI deployment. </problem> <solution> Vectorview offers custom capability evaluations for foundation models and LLM agents, employing automated red-teaming techniques to assess safety, performance, and risk tailored to specific user applications. By providing a virtual environment, Vectorview enables businesses to set up custom tasks to evaluate foundation models and LLM agents automatically. This approach allows for benchmarking capabilities and understanding risks beyond general-purpose benchmarks. Vectorview helps de-risk AI deployments by identifying biases and potential operational risks early in the implementation process. </solution> <features> - Custom evaluation tasks specific to user applications for accurate benchmarking - Automated red-teaming to identify biases, offensive content, and potential risks - Virtual environment for effortless setup and execution of evaluation tasks - Capability evaluation for LLM agents with tools and agency - AI safety evaluations to test for dangerous capabilities and prevent harm </features> <target_audience> Vectorview targets businesses deploying foundation models and LLM agents, AI researchers, and organizations seeking to evaluate and mitigate risks associated with AI systems. </target_audience> ```

What does Vectorview do?

Vectorview provides custom capability evaluations for foundation models and LLM agents, utilizing automated red-teaming to assess safety, performance, and risk specific to user applications. This approach enables businesses to identify potential biases and operational risks in AI deployments before implementation.

Where is Vectorview located?

Vectorview is based in San Francisco, United States.

When was Vectorview founded?

Vectorview was founded in 2023.

How much funding has Vectorview raised?

Vectorview has raised 500000.

Who founded Vectorview?

Vectorview was founded by Emil Fröberg.

  • Emil Fröberg - Founder
Location
San Francisco, United States
Founded
2023
Funding
500000
Employees
2 employees
Major Investors
Y Combinator
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Vectorview

Score: 72/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Vectorview provides custom capability evaluations for foundation models and LLM agents, utilizing automated red-teaming to assess safety, performance, and risk specific to user applications. This approach enables businesses to identify potential biases and operational risks in AI deployments before implementation.

vectorview.ai1K+
Founded 2023San Francisco, United States

Funding

$

Estimated Funding

$500K+

Major Investors

Y Combinator

Team (<5)

Lukas Petersson

Preparing the world for AGI

Emil Fröberg

Founder

Company Description

Problem

Businesses deploying foundation models and LLM agents face challenges in assessing safety, performance, and potential risks specific to their applications. General-purpose benchmarks may not accurately reflect real-world performance or uncover biases relevant to particular use cases. Identifying and mitigating these risks early is crucial to avoid operational issues and ensure responsible AI deployment.

Solution

Vectorview offers custom capability evaluations for foundation models and LLM agents, employing automated red-teaming techniques to assess safety, performance, and risk tailored to specific user applications. By providing a virtual environment, Vectorview enables businesses to set up custom tasks to evaluate foundation models and LLM agents automatically. This approach allows for benchmarking capabilities and understanding risks beyond general-purpose benchmarks. Vectorview helps de-risk AI deployments by identifying biases and potential operational risks early in the implementation process.

Features

Custom evaluation tasks specific to user applications for accurate benchmarking

Automated red-teaming to identify biases, offensive content, and potential risks

Virtual environment for effortless setup and execution of evaluation tasks

Capability evaluation for LLM agents with tools and agency

AI safety evaluations to test for dangerous capabilities and prevent harm

Target Audience

Vectorview targets businesses deploying foundation models and LLM agents, AI researchers, and organizations seeking to evaluate and mitigate risks associated with AI systems.