rl-list.com · Vendors · AIChamp
#21
AIChamp
Commercial medium confidence
aichamp.com ↗ · Status: active (pivoted) confirmed · Founded unknown
AIChamp, formerly a vendor of RL environments ('Virtual Gyms') and expert data for enterprise AI agents, repositioned in 2026 as a vendor-neutral factory digital-twin service. It runs a free 14-day loss check on a manufacturing line, builds a simulation of the costliest station, and invites robot-AI software teams to train and be tested in that twin against a plant-set target before a floor pilot. Under its 'Shared' option it also licenses de-identified factory scenes to robotics and AI companies. It no longer markets RL environments for LLM or software agents.
Key facts
Headquarters
San Francisco (Mission Bay), USAconfirmed cite
Headcount band
1-10estimated
Total raised
$0reported cite
Last round
nonereported cite
SOC 2
unknown
What they sell
services + data (pivoted): factory loss assessment and digital twins of manufacturing stations in which third-party robot-AI teams train and are tested, pilot coordination, and (Shared option) licensing of de-identified factory scenes to robotics/AI companies for training and testing. RL environments / Virtual Gyms for software agents and expert SFT/RLHF data are no longer marketed.confirmed cite
Open source
noestimated
Deployment
managed service (on-site camera capture at the customer's plant, simulation run by AIChamp, third-party robot-AI trials, separately contracted floor pilot), with Shared (free + scene licensing/revenue share) or Private (fixed fee) optionsconfirmed cite
What's new
- 1 Oct 2026product
New Loss Check Terms add a 'Shared' option that licenses de-identified factory scenes to robotics and AI companies
The terms took effect 2026-10-01. Plants choose 'Shared' or 'Private' before cameras go up. Under Shared, the check, report, twin and simulation trials are free, and AIChamp gets a non-exclusive license to create and license de-identified scenes (faces and marks blurred; company, brands, customers, location, recipes and prices removed; plant can review and block clips) to robotics and AI companies for training and testing. The plant receives a share of net license revenue. Under Private, the report and twin carry a fixed fee, nothing is shared, and the twin is assigned to the plant. The terms also say AIChamp does not make or sell robots and that sample reports and calculator figures on the site are illustrations, not results from a real client.
Why it matters: This makes AIChamp a potential supplier of real-world factory scene data and simulation twins for training and evaluating physical-AI/robotics models. That is the part of the new business most relevant to RL and data buyers. The terms also confirm there are no real client results behind the sample report.
- Sep 2026product
AIChamp repositions as a factory loss-report and digital-twin service for robot AI
The homepage ('Factory Digital Twin & Loss Report | AIChamp') targets plants in meat/poultry/hides, dairy, corn syrup/starch/milling, beverages, bakery/snacks, chemicals/coatings and leather/textiles/footwear. The process: losses captured in weeks 1-2, a target set in week 3, a twin built in weeks 4-6, robot-AI training in weeks 6-10, then a floor pilot. The loss check is $0, and the homepage says the plant pays only if the robot fix hits the target. 'We see every new robot first. Robot-AI teams from our San Francisco network train on your task.' The month is estimated: the newest item the page cites is dated SEP 2026, and the RL-focused site was still up in Wayback captures from May and June 2026.
Why it matters: AIChamp no longer markets RL environments for LLM/software agents. Buyers of enterprise-workflow RL gyms should treat it as having left that category. It is now a sim-to-real broker for industrial robotics.
Founding team
Vol Goloshuk
CEO
CEO of AIChamp since Feb 2024. Founder-CEO of Brightest Minds (assistants, researchers and SDRs as a service, 2018-2024) and co-founder of HyperC (neural networks for e-commerce trading, 2019-2022). Earlier he was a Senior Analyst in Global Operations at Mastercard (2013-2015) and a network/security engineer at Baker Security Networks (2007-2013). BA (Hons) in Management & Information Systems, Liverpool John Moores University. San Francisco. (Self-reported career history on Torre.)
What practitioners should know
For researchers
- No papers, benchmarks, datasets or open-source releases from AIChamp were found at any date.
- New offer: sim-to-real for industrial robotics. Stations are simulated and robot-AI policies from independent teams are trained and tested against a plant-set target. Under the 'Shared' option, de-identified real-factory scenes are licensed to robotics/AI companies for training and testing (terms effective 2026-10-01). No technical details of the simulation stack or scene format are published.
For program managers
- Pivoted between late June and October 2026 (Sep 2026 estimated) from RL environments and expert data for AI labs to factory loss assessment, robot-AI evaluation in twins, and factory scene licensing. Do not treat it as an active LLM/agent RL-environment supplier without confirming directly.
- No disclosed funding (baseline: unfunded, reported), no named customers and no frontier-lab ties. The terms say the sample report figures are illustrations. The team claim ('engineers from Microsoft, Amazon Robotics, Google, Mercor, OpenAI and NVIDIA') is self-claimed.
- Engagement: free loss check, a written target, twin-based trials, then a separately contracted pilot. The homepage says 'pay only if it hits the target'. Under the terms, the Private option has a fixed fee for the report and twin, and pilot economics are agreed in writing.
For data ops
- No security/trust page and no SOC 2 or other certifications published. The homepage's Privacy Policy link (/privacy-policy/) returns 404, so data terms live in aichamp.com/terms.html (effective 2026-10-01; Delaware law, San Francisco courts).
- Stated data handling: NDA before cameras go up, cameras on their own network not connected to plant systems, faces blurred, no biometric identifiers, no individual worker rating, data deleted within 30 days of project end (except scenes already licensed under Shared). Under Shared, scenes are stripped of company name, brands, customers, location, recipes and prices, and the plant can review and block clips.
- No APIs, docs or integration formats (Harbor/MCP/Docker etc.) published.
Products
Free Loss Check (factory loss report) ↗
A 14-day camera capture of a production line with no shutdown and an NDA signed first. Losses (scrap, rework, bad batches, mis-grades, yield loss) are priced in dollars, and fixes are ranked by payback. The check is free. The site's sample report and calculator are illustrations, not client results (per the terms).launched Sep 2026
Factory digital twin + robot-AI trials and pilot ↗
A simulation of one or more stations in which independent robot-AI software companies train and are tested against a target the plant sets, followed by a floor pilot coordinated with a robot maker and installer under a separate agreement. The homepage claims 'pay only if it hits the target'. The terms say the Private option carries a fixed fee for the report and twin, and pilot economics are agreed separately in writing. Vendor-neutral; does not sell robots. Launch month estimated.launched Sep 2026
Shared option: de-identified factory scene licensing ↗
Under the Shared option, AIChamp licenses de-identified scenes from participating plants to robotics and AI companies for training and testing, and pays the plant a revenue share. Terms effective 2026-10-01.launched 1 Oct 2026
Plant referral program ↗
Pays 3% of the fees a referred, new-to-AIChamp company pays in its first 12 months as a client, within 30 days of each payment clearing. The page is undated; the launch date is unknown and probably came with the redesign.
Expert application portal ↗
Legacy talent/expert application portal, still linked from the homepage as 'Join us'.
Scale & velocity
Current headcount
~2-10 (as of 2026-06-07)estimated cite
Headcount growth
unknown
Open roles
unknown
Other locations
unknown
Distributed / remote
yesreported cite
Research depth
Has researchers
unknown
Researcher count
unknown
Backgrounds
Self-claimed: 'Built by engineers from Microsoft, Amazon Robotics, Google, Mercor, OpenAI and NVIDIA' (vendor site, unverified; the earlier site claimed 'alumni of OpenAI and xAI'), CEO Vol Goloshuk: previously founder-CEO of Brightest Minds (outsourced assistants/SDRs), co-founder of HyperC, ex-Mastercard analyst, earlier network/security engineer (self-reported on Torre)reported cite
Papers / benchmarks
unknown
Capital
Total raised
$0 / no funding raisedreported cite
Last round
nonereported cite
Investors
unknown
Valuation
unknown
Revenue signals
unknown
Security & compliance
SOC 2
unknown
Other certifications
unknown
Security page
No security/trust page. The homepage's Privacy Policy link (aichamp.com/privacy-policy/) returns HTTP 404. Data-handling commitments are in the Loss Check Terms (aichamp.com/terms.html, effective 2026-10-01).confirmed cite
Product
What they sell
services + data (pivoted): factory loss assessment and digital twins of manufacturing stations in which third-party robot-AI teams train and are tested, pilot coordination, and (Shared option) licensing of de-identified factory scenes to robotics/AI companies for training and testing. RL environments / Virtual Gyms for software agents and expert SFT/RLHF data are no longer marketed.confirmed cite
Open source
noestimated
License
unknown
Deployment model
managed service (on-site camera capture at the customer's plant, simulation run by AIChamp, third-party robot-AI trials, separately contracted floor pilot), with Shared (free + scene licensing/revenue share) or Private (fixed fee) optionsconfirmed cite
Maturity
early-stage / newly pivoted (new offering launched around 2026-09; terms effective 2026-10-01; no named customers, and sample report figures are illustrations per the terms)estimated cite
Notable customers
unknown
Buyer analysis
Best fit: Manufacturing plants (food, beverage, chemicals, leather/textiles) that want losses priced and robot/vision fixes tested in simulation before capex. Possibly robotics/physical-AI teams seeking factory twins or de-identified real-world factory scenes for training and evaluation. Not a current fit for buyers of LLM/agent RL environments.
How we verified this
2026-10-05 refresh: I re-opened every primary source. The live homepage (HTTP 200) and the 2026-05-26 Wayback snapshot ('Engineering RL Environments with Deep Industry Authority', with Virtual Gym, Sniper Sourcing, RLHF and xAI copy) confirm the pivot. A domain-wide CDX query shows the old WordPress site's assets still captured on 2026-06-19 and 2026-06-22, and the new homepage cites an item dated SEP 2026. The pivot window is therefore late June to October 2026, with Sep 2026 kept as an estimate. The draft missed the new Loss Check Terms (aichamp.com/terms.html, effective 2026-10-01). They add a 'Shared' option under which AIChamp licenses de-identified factory scenes to robotics and AI companies for training and testing, with a revenue share to the plant. They also say the Private option carries a fixed fee and that the site's sample reports are illustrations, not client results. I added this as news, a product and field updates. The draft's founder photo from TheOrg turned out to be the AIChamp logo when downloaded and viewed. I replaced it with Goloshuk's self-uploaded Torre profile photo, which I verified as a single-person headshot. I softened his role to CEO, with founder status 'reported' via LinkedIn. I dropped two news items with invented dates (the undated referral page and the blog removal) and kept them as a product and an outdated claim. The privacy-policy link 404s. The referral terms (3%, 12 months, 30 days), the blog 404, the live apply portal, the TheOrg roster (no Mati Roy) and the Torre career history all check out. Limitation: the web-search quota was exhausted, so no independent press or aggregator sweep for funding or acquisitions was possible. Funding stays empty, consistent with the baseline 'unfunded (reported)'.
Related vendors
Sources
- aichamp.com/ · 2026-10-05, Live homepage, 'Factory Digital Twin & Loss Report | AIChamp'. Free loss check, twin, robot-AI teams, pay-on-target claim, 'San Francisco · Mission Bay', self-claimed engineer alumni list, 'Why now' items dated APR 16 to SEP 2026, schema.org (founders@aichamp.com, X @askaichamp, LinkedIn /company/aichamp).
- aichamp.com/terms.html · 2026-10-05, Loss Check Terms, effective 2026-10-01. Shared vs Private options, licensing of de-identified scenes to robotics/AI companies with revenue share, data handling, sample reports are illustrations, Delaware law, footer 'Mission Bay, San Francisco'.
- aichamp.com/referrals.html · 2026-10-05, Referral program: 3% of a referred company's first-12-month fees. Undated.
- web.archive.org/web/20260526200648/https://aichamp.com/ · 2026-10-05, Wayback snapshot 2026-05-26: 'Engineering RL Environments with Deep Industry Authority - AIChamp'. Contains Virtual Gym, Sniper Sourcing, RLHF and xAI copy.
- web.archive.org/cdx/search/cdx?url=aichamp.com/&from=2026 · 2026-10-05, Wayback index for the homepage: 2026 snapshots on 2026-04-22 and 2026-05-26 only. A domain-wide index also shows old WordPress/Elementor assets captured 2026-06-19 and 2026-06-22.
- aichamp.com/blog/ · 2026-10-05, HTTP 404; blog removed.
- aichamp.com/privacy-policy/ · 2026-10-05, Linked from the homepage footer but returns HTTP 404.
- app.aichamp.com/apply/ · 2026-10-05, Application portal still live (HTTP 200, JS app).
- theorg.com/org/aichamp · 2026-10-05, Roster: Vol Goloshuk (CEO), Vera Banko (AI Hiring Director), Alexandra Leu (People Systems Director), Pavlo Kosenko (Partnership and Sales). Mati Roy no longer listed. Still hiring-marketplace description; headcount 15 (directory figure). The photo shown for Goloshuk is the AIChamp logo, not a headshot.
- torre.ai/volgoloshuk · 2026-10-05, Goloshuk's self-reported career history (CEO AIChamp since Feb 2024, Brightest Minds, HyperC, Mastercard, Baker Security Networks, Liverpool John Moores BA) and his profile photo.
- www.rl-list.com/vendors/aichamp · 2026-10-05, Current RL List profile (baseline).
- aichamp.com/security/ · 2026-06-07, HTTP 404, no security/trust page
- www.linkedin.com/company/aichamp-finds-a-players · 2026-06-07, Public snippet: ~14 employees, founded 2025, IT Services; MCP-style environments for tool-using agents
- www.linkedin.com/in/goloshuk/ · 2026-06-07, Vol Goloshuk, Founder/CEO; prior BrightestMinds lead-gen agency
- www.linkedin.com/in/matiroy/ · 2026-06-07, Mati Roy, listed CTO at AIChamp (long-horizon agents); current role shows Netholabs
- torre.ai/teams/AIChamp · 2026-06-07, 11 members, remote roles, company description
- app.aichamp.com/apply/jobs · 2026-06-07, Recruiting/expert-trainer application portal
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.