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Vals competitors & alternatives
The 12 closest competitors and alternatives to Vals among ai/ml companies — ranked by similarity to what Vals actually does, not by market-cap band.
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About Vals
Vals provides independent evaluation and benchmarking services for artificial intelligence models, testing them on economically valuable and real-world tasks such as finance, software engineering, and frontier risks. The company develops in-house benchmarks and issues regular performance reports and indexes to compare leading AI systems.
Vals at a glance
Vals is an ai/ml company. Its most recent funding round, Series A, raised $40M in September 2026. Xcout tracks 1 named person at Vals, including Rayan Krishnan (Co-founder). Xcout recorded 6 job postings from Vals in the last 90 days, naming tools such as DeepSeek, OpenAI API.
Vals leadership
- Rayan KrishnanCo-founder
Vals funding rounds
Every round on record:
| Date | Round | Amount | Investors |
|---|---|---|---|
| Series A | $40M | 1 named |
Who invested in each round, lead investors, valuations and the co-investor graph — open the full funding history →
Hiring at Vals
Xcout recorded 6 job postings from Vals in the last 90 days, from a hiring record Xcout has kept since August 2026.
Tools named in Vals's job postings
The weekly hiring trend, the roles and locations behind it — see Vals's hiring signals →
Recent Vals news
Top 12 Vals competitors
Ranked by semantic similarity — how close each company is to Vals by what it does, using Xcout's live company graph. Click any company for its full profile, or its competitor set.
Similar ai/ml company
Valgo is a public benefit corporation that builds a risk quantification layer for physical AI systems, focusing on validation, deployment, and insurance. The company develops tools and research-backed methodologies to compute human crash-rate baselines and evaluate safety-critical autonomous systems like robotaxis and robotrucks.
Artificial Intelligence
Arena AI provides a benchmarking platform and leaderboard for evaluating large language models through crowdsourced evaluations and battle modes.
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Epoch AI is a data-first research nonprofit that investigates the trajectory, trends, and governance of artificial intelligence. The institute develops databases and hosting tools tracking AI inputs such as machine learning hardware, training compute, data centers, and investments, while also running independent model evaluations and benchmarks.
Similar ai/ml company
Artificial Analysis is a technology and information company headquartered in San Francisco, California, focused on building the future of AI benchmarking and analysis for models and API providers.
Similar ai/ml company
Snorkel AI builds specialized training data, benchmarks, and evaluation environments. These tools help frontier models and agents perform effectively in high-stakes domains.
Similar ai/ml company
METR is an organization that evaluates the capabilities and risks of advanced AI systems to help AI companies and society understand potential threats.
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LLM Stats is a platform that indexes over 601 AI and LLM benchmarks across various domains, including reasoning, coding, math, vision, and tool use. It also aggregates the latest news, updates, and releases concerning LLMs and AI models.
Similar ai/ml company
Judgment Labs provides a continuous-improvement platform designed to monitor, triage, and test AI agent behavior at scale. Its products help engineering and support teams detect production failures, investigate root causes using automated agent swarms, and verify fixes before deployment.
Similar ai/ml company
Mpathic provides expert-led red teaming and behavioral science-grounded benchmarking services to help AI developers evaluate, stress-test, and improve the safety and performance of human-facing models. The company serves AI builders and enterprises deploying models in high-stakes domains such as mental health, youth safety, and medical settings by leveraging a network of specialized domain experts.
Similar ai/ml company
Giskard develops an open-source testing and evaluation framework for machine-learning and generative-AI models, helping identify issues such as performance weaknesses, bias, and robustness problems. It serves data scientists, ML engineers, and organizations building and deploying AI systems.
Similar ai/ml company
Scale provides data, evaluations, and AI systems for enterprises, governments, and AI labs. The company offers solutions across the AI stack, including training data generation and human-in-the-loop application deployment.
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