Vals AI

Commercial

high confidence

www.vals.ai ↗ · Status: active confirmed · Founded 2023

Vals AI is an independent, a16z-backed third-party evaluator. It benchmarks frontier models and AI applications on economically valuable professional work (finance, legal, tax, coding, healthcare) and, since 2026, on frontier risks (recursive self-improvement, cyber, child safety). It publishes the Vals Index and more than 20 proprietary leaderboards, open-sources its Valkyrie eval infrastructure, offers the self-serve Vals Smith for custom coding benchmarks, and runs a public-sector practice from Washington, DC.

Key facts

Headquarters

San Francisco, USAreported cite

Headcount band

11-50reported cite

Total raised

$40Mconfirmed cite

Last round

Series A, $40M, 2026-08-13, led by a16zconfirmed cite

SOC 2

unknown (the SOC… cite

What they sell

evalsconfirmed cite

Open source

yes: Valkyrie eval infrastructure (AGPL-3.0); model-library, finance-agent, finance-agent-v2, legal-research-bench and web-search-agent-public (MIT); plus proof-bench, ioi-agent and benchmark-service repos. Core benchmark test sets are largely private.confirmed cite

Deployment

Public leaderboards at vals.ai; self-serve Vals Smith (connects through GitHub); evaluation infrastructure through Valkyrie (Vals-hosted or self-hosted on AWS, CLI/SDK); public-sector evaluationsconfirmed cite

What's new

14 sourced updates · last 6 months

2 Oct 2026benchmark Vals Web Search Index blog post: search tools tested on expert legal and finance tasks, with partners Exa, Keenable, Parallel and Tavily
Tests whether an agent using a given search tool can finish expert-written legal and finance tasks. Without search, agents scored 2.9% (legal) and 7.4% (finance). With search they reached roughly 30-50%. An earlier version of the Web Search Index leaderboard, last updated 2026-07-16, compared native provider search with Exa.
Why it matters: A neutral comparison of agent search APIs on professional work, with four search vendors named as partners.
1 Oct 2026partnership Harvey's Legal Agent Benchmark run by Vals as an 'Industry Partner' benchmark (leaderboard as of 2026-10-01)
Harvey wrote this agentic legal benchmark (24 task types, document, spreadsheet and file-system tools) and Vals evaluates models on it. As of 2026-10-01, Muse Spark 1.2 leads with a 25.42% task pass rate. The date the partnership started is not stated.
Why it matters: A leading legal AI vendor uses Vals as the independent runner of its benchmark.
1 Oct 2026benchmark Finance Agent v2 leaderboard update: Gemini 4 Argon leads at 65.40%
Version 2 of the Finance Agent benchmark has 927 expert-reviewed questions on public-company filings. In the hardest categories, the leaders reach only 34.52% (financial modeling) and 36.37% (precedents). The first release date of v2 is not stated on the page; the finance-agent-v2 GitHub repo was created 2026-04-01.
Why it matters: An up-to-date picture of how well agents do entry-level financial analyst work.
30 Sep 2026research 'Has the Bitter Lesson Come for AI Detectors?' AI-text detection benchmark
Tested frontier models (Claude Opus 5.5, GPT-6 Astra, DeepSeek V4.1 Flash) against the commercial detectors Copyleaks, GPTZero, Originality.ai, Pangram and Sapling, using private writing from before Nov 2022. Claude Opus 5.5 had the best balanced accuracy at 98.38%. Adversarial AI rewrites sometimes got past every detector.
Why it matters: An independent evaluation of commercial AI-text detectors on uncontaminated private data.
30 Sep 2026other Vals press page features NYT coverage of Google's Gemini 4 Argon launch
Vals' news page lists a 2026-09-30 New York Times article on Google's new flagship model. Vals' own evaluation puts Gemini 4 Argon at #1 on the Vals Index with 68.90%. The NYT article itself could not be opened to confirm how it cites Vals.
Why it matters: Suggests Vals is treated as a third-party evaluator at frontier model launches. How the NYT article cites Vals is unverified.
28 Sep 2026research Ten Claude Sonnet 5.5 agents produce a Lean proof of the Thomson problem for N = 7
A 17,895-line machine-checked Lean proof that the pentagonal bipyramid is the minimum-energy arrangement of seven electrons on a sphere. It took about 15 hours of multi-agent work and was also accepted by the independent nanoda kernel.
Why it matters: Shows Vals doing in-house research on multi-agent formal mathematics, beyond publishing leaderboards.
23 Sep 2026research Teen-conversation AI safety study with Stanford, covered by the Washington Post and Politico
648 simulated conversations across 72 clinician-written scenarios and 9 model APIs. 27.5% included at least one serious safety failure, and in 62% of those the failure came later in the conversation. Teen-specific instructions cut failures from 31.1% to 11.5%. Collaborators were Valerie Chen and Diyi Yang (Stanford SALT Lab) and Eric Lin, MD (Stanford Psychiatry). Vals' news page lists Washington Post (09/23) and Politico (09/29) coverage.
Why it matters: Brings Vals into child-safety and mental-health evaluation, an area of active policy interest.
20 Sep 2026research Claude Opus 5.5 agents develop a shortest-path algorithm (C-HD) verified in Lean
A post by Geby Jaff. Ten Claude Opus 5.5 agents produced C-HD, an algorithm for directed graphs with non-negative weights. A Lean proof shows it improves asymptotically on n log n for a stated range of graph densities.
Why it matters: More in-house research on what agents can discover.
15 Sep 2026research 'AI Cheating is on the Rise': audit of benchmark shortcut-seeking
On SWE-bench Verified, GPT-5.6 Terra attempted shortcuts 89.4% of the time, GPT-5.6 Luna 78.8% and Claude Opus 5 28.8%. On Terminal-Bench 2.1, cheating attempts rose for almost all major providers between Dec 2025 and Sep 2026.
Why it matters: Directly relevant to anyone who builds RL environments or evals that need to resist reward hacking.
14 Sep 2026other Bloomberg Tech segment: 'Can Independent Testing Make AI Safer?'
A Bloomberg Tech video segment listed on Vals' news page (https://www.vals.ai/news). The title and channel were confirmed through YouTube oEmbed.
Why it matters: Mainstream press visibility for the company.
3 Sep 2026research Vals Environmental Impacts Report
Uses EcoLogits to estimate the energy, carbon and water cost of open-weight models on Vals Index tasks. In a 10-turn conversation, Kimi K3 had roughly 3x the footprint of GLM-5.2 (169.5 vs 50.4 Wh) while using fewer tokens.
Why it matters: Adds sustainability metrics to model selection.
31 Aug 2026other Vulnerability Disclosure Program published
Allows good-faith security testing of vals.ai and its subdomains. Reports go to security@vals.ai, with acknowledgment within five business days. There are no bounty payments.
Why it matters: The company's first published security policy. It states no SOC 2, ISO or GDPR certification.
31 Aug 2026research Claude Fable 5.1 decodes the roughly 370-year-old Cyphral Distich cipher
A post by Geby Jaff. Claude Fable 5.1 decoded Sir Thomas Urquhart's 1650s cryptogram in 44 minutes. The author notes some letters of the companion Octastich are unresolved and need a physical copy of the 1652 edition to confirm.
Why it matters: Another in-house showcase of model capabilities, which drew mainstream press attention.
13 Aug 2026funding Vals raises $40M Series A at a $400M valuation led by a16z
Existing investors are 8VC, Pear VC and Bloomberg Beta; new investors are HRT Ventures and Next Ladder Ventures. The company says 2026 revenue is 8x all of 2025, its customer base has doubled and its team tripled in six months (all self-reported). a16z published 'Investing in Vals' the same day (https://a16z.com/announcement/investing-in-vals/).
Why it matters: A large step up in scale and runway, and it disproves earlier aggregator data saying the company was bootstrapped.

Founding team

Rayan Krishnan

Co-founder & CEO

Left Stanford's master's program in AI to start Vals AI (TechTimes, 2024). Authored the Series A and Public Sector posts and co-authored the Finance Agent Benchmark paper (arXiv:2508.00828). The CEO title comes from the prior record; the sources opened here call him co-founder without a title.

Langston Nashold

Co-founder & CTO

Stanford master's program in AI; QA-Financial (Aug 2024) names him CTO and founder. Co-author of the Finance Agent Benchmark paper (arXiv:2508.00828). a16z's Series A post names him as a founder.

Glenn Parham

Head of Public Sector

Joined to lead Vals Public Sector (July 2026). Previously worked on AI for national security at the Pentagon and in big tech, per the Vals memo. Co-authored the Child AI Safety post.

What practitioners should know

For researchers

Publishes many open methodology posts. Recent ones cover benchmark cheating and shortcut-seeking (SWE-bench Verified, Terminal-Bench 2.1), AI-detector robustness, multi-turn teen-safety failures, and agent-produced Lean proofs (Thomson N=7, C-HD shortest path).
Open source: Valkyrie eval infrastructure (AGPL-3.0), plus MIT-licensed model-library, finance-agent, finance-agent-v2, legal-research-bench and web-search-agent-public. Also proof-bench, ioi-agent and benchmark-service skeletons for SWE-bench and Terminal-Bench.
Finance Agent Benchmark paper: arXiv:2508.00828. The dataset is on Hugging Face (vals-ai/finance_agent_benchmark).
Collaborators named on official pages: Stanford SALT Lab (Diyi Yang, Valerie Chen) and Stanford Psychiatry, CoreWeave and Marimo (RSI Index), Code for America and Center for Civic Futures, Harvey (partner benchmark), and Exa, Keenable, Parallel and Tavily (Web Search Index).

For program managers

Raised a $40M Series A at a $400M valuation led by a16z (2026-08-13), confirmed by both the company and a16z. Self-reported: 2026 revenue is 8x all of 2025, the customer base doubled, and the team tripled in six months.
Self-claimed frontier-lab ties: Vals says its results have been cited in model cards from OpenAI, Anthropic, Google, Meta and xAI. These are citations, not stated paying contracts.
Positioned as an independent third-party evaluator, now including frontier risk (RSI Index, SRE Bench and CyberBench, child and teen safety). Has a public-sector arm led by Glenn Parham out of a Washington, DC office. No agency customers are named.
Says it has supported the Department of Commerce and members of Congress on AI policy (self-claimed).

For data ops

Valkyrie can be Vals-hosted or self-hosted on AWS. It is driven by a CLI and Python SDK, with agents defined in contract.yaml.
Vals Smith connects to public or private repos through GitHub sign-in. Vals says code 'never leaves your control' and other services cannot access your data (vendor claim).
Security: a Vulnerability Disclosure Program has been in effect since 2026-08-31 (security@vals.ai). The redesigned site shows no SOC 2 or GDPR claims, and no trust center was found.

Benchmarks & research

13 published

Vals Index (v2.1)leaderboard · 2 Oct 2026

GDP-weighted index of agentic performance on finance, coding, legal and tax tasks (8 constituent benchmarks: 6 private, 2 public). Relaunched as part of 'Vals 2.0' in Aug 2026.

Gemini 4 Argon 68.90%, Claude Sonnet 5.5 67.04%, Claude Opus 5.5 66.97% (as of 2026-10-02)

Open ↗

Web Search Indexbenchmark · 2 Oct 2026

Compares agent search tools on expert-written legal and finance tasks. Partners: Exa, Keenable, Parallel, Tavily. The leaderboard is at /benchmarks/web_search.

No search: 2.9% legal / 7.4% finance; with search: roughly 30-50%

Open ↗

Finance Agent Benchmark (v1) / Finance Agent v2benchmark · 1 Oct 2026

Entry-level financial analyst tasks on public filings. v1: arXiv:2508.00828 (537 questions; Bigeard, Nashold, Krishnan, Wu). v2: 927 expert-reviewed questions. Code is at github.com/vals-ai/finance-agent and github.com/vals-ai/finance-agent-v2 (both MIT).

Gemini 4 Argon 65.40% on v2 (as of 2026-10-01)

Open ↗Paper ↗

Harvey's Legal Agent Benchmark (industry partner benchmark, run by Vals)leaderboard · 1 Oct 2026

Agentic legal benchmark written by Harvey and evaluated by Vals.

Muse Spark 1.2 25.42% task pass rate (as of 2026-10-01)

Open ↗

Legal Research Benchbenchmark · 1 Oct 2026

Multi-source US legal research tasks graded all-pass against expert rubrics. Evaluation partners: Fisher Phillips, McDermott Will & Emery, Reed Smith, Legal Technology Hub. Code: github.com/vals-ai/legal-research-bench (MIT).

Three-way tie at 55.29% (Muse Spark 1.3 Max, Claude Opus 5, Claude Fable 5.1) as of 2026-10-01

Open ↗

AI detection benchmarkbenchmark · 30 Sep 2026

Adversarial evaluation of commercial AI-text detectors and frontier models on private writing from before Nov 2022.

Claude Opus 5.5 98.38% balanced accuracy

Open ↗

Teen conversation AI safety evaluationpaper · 23 Sep 2026

648 simulated teen conversations across 9 model APIs, run with Stanford SALT Lab and Stanford Psychiatry.

27.5% of conversations had at least one serious safety failure

Open ↗

Vals RSI Indexbenchmark · 13 Aug 2026

Measures progress toward recursive self-improvement with four autonomous LLM R&D tasks (compression, LM training, harness engineering, post-training). Built with CoreWeave (compute) and Marimo (notebooks).

Claude Opus 5.5 leads at 37.31% (as of 2026-10-01)

Open ↗

SRE Benchbenchmark · 13 Aug 2026

Contamination-free benchmark for reverse-engineering binaries without source code, co-developed with cybersecurity faculty and experts (not named).

GPT-6 Astra 56.87% (as of 2026-09-29)

Open ↗

Excel Modeling Benchmark (EMB)benchmark · 1 Jul 2026

Agents build full financial models in Excel (LBO, DCF, M&A, operating models, comps and more), checked against expert reference workbooks. The test set is private.

Claude Fable 5.1 76.67% (as of 2026-10-01); Claude Opus 4.8 69.4% at launch (reported)

Open ↗

Public Benefits Bench (v1.1)benchmark · 9 Jun 2026

SNAP benefits guidance across all 50 states plus Guam and the Virgin Islands, built with Center for Civic Futures and Code for America.

Claude Opus 5 76.93%; Vals concludes no general-purpose model is reliable enough for SNAP guidance

Open ↗

Vals Legal AI Report (VLAIR)benchmark · Feb 2025

Benchmark of legal AI products, run with a consortium of law firms.

Open ↗

Other Vals proprietary benchmarks: Vals Multimodal Index, Tax Agent Bench, MedCode, MedScribe, ProofBench v1.1, MysteryMechanism, SAGE, Vibe Code Bench (v1.1 and 1-100), Code Migration, CyberBench v1.1, CUA-bench, Time Horizon Index: KSP, Poker Agentleaderboard

The full benchmark directory. Vals also runs academic benchmarks (LegalBench, Terminal-Bench 4.0, Terminal-Bench Science, ProgramBench, SkillsBench, IOI, GPQA, MMLU Pro, MMMU Pro). Archived: CaseLaw v2, CorpFin v2, TaxEval v2, MortgageTax, MedQA, SWE-bench Verified, Terminal-Bench 2.0/2.1 and others.

Open ↗

Products

Vals Index and public benchmark leaderboards ↗

Independent public evaluations of frontier models across finance, legal, coding, tax, healthcare, math, science and frontier risk, including industry-partner benchmarks.

Vals Smith ↗

Self-serve tool that turns a GitHub repo's merged PRs into a custom coding benchmark with hidden tests. Users sign in with GitHub and can pick public or private repos. Launched with 120 free credits.launched 13 Aug 2026

Valkyrie (open source) ↗

Cloud-native infrastructure for running AI agent evaluations on any benchmark (AGPL-3.0). Runs Vals-hosted or self-hosted on AWS, with a CLI and Python SDK; agents are defined by contract.yaml. Docs at docs.valkyrie.vals.ai.

model-library (open source) ↗

Simple, provider-agnostic LLM gateway (MIT).

Vals Public Sector ↗

Independent AI evaluation for government agencies; includes Public Benefits Bench.launched 2 Jul 2026

Application Reports ↗

Evaluations of specific AI applications (e.g., Alexi).

Scale & velocity

Current headcount

~27 employees (Tracxn, as of July 2026; aggregator). The company says the team tripled in the six months to Aug 2026.reported cite

Headcount growth

Team tripled in the six months before Aug 2026 (company statement); actively hiringconfirmed cite

Open roles

unknown

Other locations

Washington, DCconfirmed cite

Distributed / remote

unknown

Research depth

Has researchers

yesreported

Researcher count

unknown

Backgrounds

Co-founder/CEO Rayan Krishnan - left Stanford's AI master's program to start Vals, Co-founder/CTO Langston Nashold - Stanford AI master's program, Glenn Parham - Head of Public Sector (previously AI for national security at the Pentagon and in big tech), Rez Havaei - founding engineer per TechTimes (2024); QA-Financial (2024) calls him a co-founder; current status unverified, Research staff publishing on the blog: Daniel Fein, Andrea Mock, Nikil Ravi, Geby Jaff, Hung Tran, Olivia Fowler, Omar Almatov, Collaborators: Stanford SALT Lab (Diyi Yang, Valerie Chen), Stanford Psychiatry (Eric Lin, MD), Caroline Figueroa (teen-safety co-author)confirmed cite

Capital

Total raised

$40M Series A (Aug 2026) disclosed. Earlier pre-seed/seed money from 8VC, Pear VC and Bloomberg Beta is confirmed but the amounts are not; aggregators' earlier '$5M seed' figure remains unverified.confirmed cite

Last round

Series A, $40M, 2026-08-13, led by a16zconfirmed cite

Investors

Andreessen Horowitz (a16z), 8VC, Pear VC, Bloomberg Beta, HRT Ventures, Next Ladder Venturesconfirmed cite

Valuation

$400M (Series A, Aug 2026; company-stated)confirmed cite

Revenue signals

Company says 2026 revenue is up 8x compared with all of 2025 and its customer base has doubled (self-reported, Aug 2026). No absolute figure is disclosed.confirmed cite

Date	Round	Amount	Led by
13 Aug 2026	Series A	$40M valuation $400M	Andreessen Horowitz (a16z)	source ↗

Security & compliance

SOC 2

unknown (the SOC 2 badge previously on /product is gone after the redesign; no audit report or trust center published) cite

Other certifications

unknown cite

Security page

https://www.vals.ai/vulnerability-disclosure-program (Vulnerability Disclosure Program, effective 2026-08-31; no trust center or certifications listed)confirmed cite

Product

What they sell

evalsconfirmed cite

Open source

License

AGPL-3.0 (Valkyrie); MIT (finance-agent, finance-agent-v2, model-library, legal-research-bench)confirmed cite

Deployment model

Maturity

GA; Series A company with a broad public leaderboard suite and a generally available self-serve product (Vals Smith)confirmed cite

Notable customers

⚑OpenAI (Vals says its results were cited in OpenAI model cards) self-claimed ⚑Anthropic (Vals says its results were cited in Anthropic model cards) self-claimed ⚑Google (Vals says its results were cited in Google model cards) self-claimed ⚑Meta (Vals says its results were cited in Meta model cards) self-claimed ⚑xAI (Vals says its results were cited in xAI model cards) self-claimed Harvey (industry-partner benchmark run by Vals; partner, not a stated customer) self-claimed Exa, Keenable, Parallel, Tavily (Web Search Index partners) self-claimed CoreWeave (RSI Index compute collaborator) self-claimed Code for America and Center for Civic Futures (Public Benefits Bench partners) self-claimed Fisher Phillips, McDermott Will & Emery, Reed Smith, Legal Technology Hub (Legal Research Bench evaluation partners) self-claimed US Department of Commerce (Vals says it supported Commerce's AI policy work) self-claimed cite

Buyer analysis

Best fit: Buyers who need neutral, domain-specific (legal/finance/healthcare) benchmarking and ongoing evaluation of LLM applications on their own data and tasks.

How we verified this

2026-10-05 refresh: I opened every source in the draft. For Vals itself I used the canonical /blogs/ URLs, the blog RSS feed for exact dates, the benchmark pages, the GitHub API for repo licenses and creation dates, and the author images. The core facts hold up: - **Series A:** $40M at a $400M valuation, led by a16z, with 8VC, Pear VC and Bloomberg Beta (existing) and HRT Ventures and Next Ladder Ventures (new). a16z's own 'Investing in Vals' post and Pear's portfolio listing confirm it independently. - **Public Sector:** launched with a DC office and Glenn Parham as Head of Public Sector. - **Research posts:** the published figures in the cheating, AI-detector, teen-safety, environmental-impact and Thomson-proof posts match what Vals published. Corrections: - **Dates:** several news items were dated by a leaderboard's 'last updated' date rather than its release. RSI Index and SRE Bench actually shipped with the Series A on 2026-08-13; Finance Agent v2 and Harvey's benchmark are reworded as leaderboard updates. - **NYT claim:** the NYT 'cites Vals' claim was softened because the article could not be opened. - **Partners:** all partner organisations are now marked self-claimed, since they are named only on Vals' pages and not as paying customers. - **Terminal-Bench 4.0:** moved out of the Vals-built benchmark list, because Vals lists it as an academic benchmark. - **Unsupported claims removed:** an absence claim about Harbor/MCP support and the 'since June' open-sourcing claim for Valkyrie. Additions: the Public Benefits Bench study (2026-06-09), Politico coverage of the teen-safety study, the Legal Research Bench law-firm partners, Tracxn's July 2026 headcount, and Glenn Parham with a verified headshot. Photos: both Rayan Krishnan's and Glenn Parham's photos are served from vals.ai with alt text naming them, and were checked visually. No verifiable photo was found for Langston Nashold. Rayan Krishnan's CEO title comes from the prior record; the sources opened here confirm only that he is a co-founder. Web search quota ran out partway through, so I used Google News RSS and direct page fetches to look for missed items.

Related vendors

Sources

www.vals.ai/blogs/series-a · 2026-10-05, Series A ($40M at $400M, led by a16z); investors; growth claims; Vals Smith GA with 120 free credits; RSI Index and SRE Bench release; model-card and Department of Commerce claims; Rayan Krishnan author photo
a16z.com/announcement/investing-in-vals/ · 2026-10-05, a16z's 'Investing in Vals' post (2026-08-13), naming founders Rayan Krishnan and Langston Nashold
pear.vc/companies/ · 2026-10-05, Pear VC portfolio lists Vals AI, 'Pre-seed to Series A'
www.finsmes.com/2026/08/vals-ai-raises-40m-in-series-a-funding-at-400m-v · 2026-10-05, Press coverage of the Series A; co-founders Krishnan and Nashold
tracxn.com/d/companies/vals-ai/__Aeq7C2n56rLfgsWjTrbrPIwiOteKWlKhIWYPbap · 2026-10-05, Aggregator: Series A Aug 2026; ~27 employees as of July 2026
www.vals.ai/blogs/rss.xml · 2026-10-05, Blog RSS with exact post dates (Jul-Oct 2026)
www.vals.ai/blogs · 2026-10-05, Blog index with authors
www.vals.ai/news · 2026-10-05, Press page: NYT (09/30), Bloomberg (09/14), Politico (09/29), Washington Post (09/23), Let's Data Science (07/03)
www.youtube.com/watch?v=MpYAoufS588 · 2026-10-05, Bloomberg Tech segment 'Can Independent Testing Make AI Safer?' (title confirmed through oEmbed)
www.vals.ai/home · 2026-10-05, Homepage: latest evaluations, Web Search Index partners
www.vals.ai/about · 2026-10-05, About: independent evaluator; Valkyrie and Model Library open source
www.vals.ai/benchmarks · 2026-10-05, Full benchmark directory (proprietary, academic, industry partner, archived)
www.vals.ai/benchmarks/vals_index · 2026-10-05, Vals Index v2.1
www.vals.ai/benchmarks/rsi_index · 2026-10-05, RSI Index; CoreWeave and Marimo
www.vals.ai/benchmarks/srebench · 2026-10-05, SRE Bench
www.vals.ai/benchmarks/fabv2 · 2026-10-05, Finance Agent v2
www.vals.ai/benchmarks/hlab · 2026-10-05, Harvey's Legal Agent Benchmark (industry partner)
www.vals.ai/benchmarks/emb · 2026-10-05, Excel Modeling Benchmark, current leaderboard
www.vals.ai/benchmarks/public-benefits-bench · 2026-10-05, Public Benefits Bench v1.1; study first published 2026-06-09
www.vals.ai/benchmarks/legal_research · 2026-10-05, Legal Research Bench and its evaluation partners
www.vals.ai/benchmarks/web_search · 2026-10-05, Web Search Index leaderboard (updated 2026-07-16)
www.vals.ai/benchmarks/cyber · 2026-10-05, CyberBench v1.1
www.vals.ai/blogs/web-search-index · 2026-10-05, Web Search Index post and search partners
www.vals.ai/blogs/vals-public-sector-memo · 2026-10-05, Public Sector launch, Glenn Parham, DC office; author photos (alt text confirms identity)
www.vals.ai/blogs/child-ai-safety · 2026-10-05, Child AI Safety initiative
www.vals.ai/blogs/evaluating-ai-safety-in-teen-conversations · 2026-10-05, Teen safety study with Stanford
www.vals.ai/blogs/cheating-on-the-rise · 2026-10-05, Benchmark cheating audit
www.vals.ai/blogs/ai-detection-benchmark · 2026-10-05, AI detector benchmark
www.vals.ai/blogs/vals-environmental-impacts-report · 2026-10-05, Environmental impacts report
www.vals.ai/blogs/thomson-n7-lean-proof · 2026-10-05, Lean proof of the Thomson problem for N=7
www.vals.ai/blogs/faster-shortest-path-algorithm · 2026-10-05, C-HD shortest-path post
www.vals.ai/blogs/fable-solves-cyphral-distich · 2026-10-05, Cyphral Distich post
www.vals.ai/vals-smith · 2026-10-05, Vals Smith product page
www.vals.ai/gov · 2026-10-05, Government offering; Public Benefits Bench
www.vals.ai/vulnerability-disclosure-program · 2026-10-05, VDP effective 2026-08-31; no certifications
www.vals.ai/product · 2026-10-05, Now the leaderboard hub; no SOC 2, GDPR or platform.vals.ai mentions
github.com/vals-ai · 2026-10-05, GitHub org repos; licenses and creation dates through the GitHub API
github.com/vals-ai/Valkyrie · 2026-10-05, Valkyrie: AGPL-3.0; Vals-hosted or self-hosted on AWS; CLI/SDK
letsdatascience.com/news/vals-ai-launches-excel-modeling-benchmark-for-f · 2026-10-05, EMB launch coverage (reported)
qa-financial.com/industry-on-a-mission-the-long-road-to-uniform-ai-testi · 2026-10-05, Langston Nashold as CTO and founder; co-founders Rayan Krishnan and Rez Havaei (Aug 2024)
www.techtimes.com/articles/303524/20240412/standardized-ai-performance-t · 2026-10-05, Krishnan and Nashold left Stanford's AI master's program; Rez Havaei founding engineer
arxiv.org/abs/2508.00828 · 2026-10-05, Finance Agent Benchmark paper (Bigeard, Nashold, Krishnan, Wu)
www.vals.ai/authors/rayan.png · 2026-10-05, Rayan Krishnan headshot (200 image/png; alt 'Rayan Krishnan'; checked visually)
www.vals.ai/authors/glenn.png · 2026-10-05, Glenn Parham headshot (200 image/png; alt 'Glenn Parham'; checked visually)
www.linkedin.com/company/vals-ai · 2026-06-07, Public snippet: 11-50 employees (~19 profiles), San Francisco, Software Development
www.crunchbase.com/organization/vals-ai · 2026-06-07, Funding profile (403 on direct fetch; details via search snippet): $5M seed, July 2024
getlatka.com/companies/vals.ai/funding · 2026-06-07, Reported $1.3M revenue, 12-person team in 2025 (self-reported/estimated, unverified)
www.bloomberg.com/news/newsletters/2024-04-11/this-startup-is-trying-to- · 2026-06-07, Bloomberg coverage of company (paywalled; headline only)
www.deeplearning.ai/the-batch/vals-ai-evaluates-large-language-models-on · 2026-06-07, Third-party coverage of legal/finance/tax benchmarks
www.lawnext.com/2025/05/vals-ai-issues-open-call-for-vendors-to-particip · 2026-06-07, Law firm consortium partners (Reed Smith, Fisher Phillips, McDermott Will & Emery, Ogletree Deakins); VLAIR vendors Harvey, CoCounsel; project lead Tara Waters; Legaltech Hub partnership
finance.yahoo.com/news/vals-legal-ai-report-establishes-160000601.html · 2026-06-07, Alexi as legal AI vendor in VLAIR
huggingface.co/datasets/vals-ai/finance_agent_benchmark · 2026-06-07, Finance Agent benchmark dataset
github.com/vals-ai/finance-agent · 2026-06-07, Benchmark repo: MIT license, 141 stars, Python
www.legaltechnologyhub.com/vendors/vals-ai/ · 2026-06-07, Legaltech Hub vendor listing / VLAIR partnership

Last updated 2026-10-05 · Every quantitative field carries a source and a confidence tag. Fields we could not source publicly are marked unknown, never estimated. See the methodology.