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Benchmarking LLMs on Enterprise-Specific Tasks1-10 Employees
  • Top 10% of responders
    Vals AI is in the top 10% of companies in terms of response time to applications
  • Responds within a week
    Based on past data, Vals AI usually responds to incoming applications within a week
  • B2B
  • Early Stage
    Startup in initial stages
  • Recently funded
    Raised funding in the past six months
Website
Location
Company size
1-10 people
Total raised
$5M
Company type
Seed
Markets
Artificial IntelligenceNatural Language Processing

Vals AI careers

Benchmarking LLMs on Enterprise-Specific Tasks
Measuring model ability is the most challenging part of creating applications that are capable of automating any given part of the economy. There are no good techniques or benchmarks for evaluating LLM performance on business-relevant tasks, so adoption for enterprise production settings has been limited (see Wittgenstein’s ruler).

This problem materializes in each place where LLMs have potential: in understanding whether the AI tool companies are building a product will satisfy a customer demand, determining how feasible models and vendors are for a given enterprise in making purchasing decisions, for researchers who need a north star to which to expand model ability.

Today, answering these questions amounts to hiring a human review team to manually evaluate model outputs. This is prohibitively expensive and slow.

Vals AI is building the enterprise benchmark of LLM and LLM apps on real-world business tasks. In doing so we are creating the infrastructure + certification to automatically audit LLM applications, verifying they are ready for consumption.

We've raised mid-seven figures from some of the top institutional investors and strategic angels in Silicon Valley. See our benchmarks and launch announcement in Bloomberg: bloomberg.com/news/newsletters/2024-04-11/this-startup-is-trying-to-test-how-…

Member of Technical Staff

In office • Palo Alto
$125k – $175k • 0.2% – 0.5%
3 months ago

Benchmarking Engineer (part-time)

In office • Austin
$40k – $120k • No equity
3 months ago

Head of AI

In office • Palo Alto
$175k – $250k • 0.5% – 1.5%
3 months ago

Founding Product Engineer

In office • Austin
$150k – $230k • 0.5% – 1.5%
3 months ago
Rayan Krishnan
Avatar for Rayan Krishnan
Total raised

$5M

Funded over

1 round

Latest round

Seed (Jul 2024)

Health insurance

Dental insurance

Substantial equity grants

Free lunch and dinner