For GTM & Venture Studios

Everything a partner needs, in 1 deck.

PROBLEMS SOLVED @launch
  • Within 2 points of Claude Opus 5 in accuracy, at 1/40th the cost.
    i95% against its 97%, on the same questions.
  • Wrong answers on $M decisions are expensive. We fix your questions
    iExplained below in the YOU ASK section.
     & route them to 1 or multiple AIs that we know are best in 1 of 448 topics
    iCreated originally from market research, then by internal testing, then updated in real time by our user-created, platform-owned, topic accuracy data.
     We then run a proprietary blend of math + statistical analysis across their answers to resolve most of the disagreements. Fewer tokens, higher accuracy.
  • AI is moving faster than its creators & fixers can control - Mass Multi-modal crowdsourcing, is the only fix.
    iWe want to fix all kinds of problems. RAG Has Context Limits, Model Collapse exists in RLAIF, Synthetic Data "Blind Spots”, Sybil & LLM-Farming Spoofing (Annotators frequently use underlying LLMs), Synthetic Data "Blind Spots”, Poisoning & Collusion in Decentralized Attestation (Annotator rings can collude to gaming the attestation logic), Data Provenance and "Licensing Laundering”(Massive dataset scraping and multi-stage transformations break the chain of custody.) Watermarking attestations are extremely fragile., Consensus & Inter-Annotator Disagreement (queries are deeply subjective or complex), etc.
  • Humans enjoy playing an unprecedented 9 self-reinforcing viral games that recruit hobbyists up to attestation pros to correct what's still not 100% resolved & get paid for what only frustrates them today.
    iTop 3 AI models said no other company in the world has more than 3 self-reinforcing flywheel loops, We run at least 9! (then again...our whole premise is you can't trust what AI tells you until a human checks it)
  • Excluded from our forecast to be ultra conservative: $100M's expected from AI labs buying human-corrected data.
    i~$30B spent on human data so far in 2026. Scale AI was selling it at $2B/yr before Meta investment, Mercor $614M in 6 months
     Current solutions pay by the hour. We GET PAID by providing very low cost high quality AI plans, while allowing hobbyists & professionals, a way to effortlessly monetize their specialized knowledge as instant consultants & an outlet for their frustration when they type a short correction, on the spot & at the moment they see a mistake, & get paid their share of human corrected data they would never be able to sell.
  • AI answers go stale everyday, & AI doesn't tell you when it's out of date.
  • With the AI staff we provide, we make it easier for members to do things with the knowledge base they build &/or import like; record, find, sell, promote, organize, remember, post, send, & more.
  • Even expensive AI models are confidently wrong, I (Bob, founder) learned this the hard way many times. AI is amazing, but when you don't know which answer is really correct, you are still really guessing. We fix that in several ways.
  • People don't want to read a book every time AI answers. We summarize the answers & point to the disagreements so members can quickly see where they may have been misled.
LOW RISK
  • VC founder, fully funded.
  • Patent pending, reviewed by a top 10 patent firm.
  • 92-96% margins.
  • The AI labs already pay people by the hour for this work.
    iWidely reported figures, not our own measurement: Scale was said to sell about $2B a year of it & Mercor about $614M in 6 months.
     Ours arrives free or as revenue, as a by-product of people using the product (depends on plan).
  • We turn everyday people, who never realized their oddly granular knowledge of trivial things is valuable, into instant consultants. Their credentials come from paying customers' feedback, not self-posted & buddy-endorsed claims.
  • Built, running & tested today. Not a plan.
  • History proves the consumer angle is less risky than trying to capture a few large companies (counterintuitive)
    iHistory has proven a buyer you depend on can be taken away by somebody else's regulator, somebody else's election, or somebody else's change of mind. Consumer subscriptions are the only money in this category that no single institution can withdraw.

    A studio's first instinct is 3 big logos. Every company that tried this before us died when 1 of those logos walked, so we build on many small payers first.

    4 companies in this exact business found out the hard way. Logically lost 2 platform contracts, went into administration in July 2025 & was sold for parts. Full Fact lost 1 contract worth over £1M a year & cut about a quarter of its staff. Factmata sold cheaply & was folded into somebody else's product. NewsGuard won every legal fight it faced, & still lost most of its business. A $13M defamation suit against it was dismissed. It sued the FTC over a documents demand & the FTC withdrew. A congressional inquiry produced nothing. Meanwhile 2 of its 3 kinds of buyer went away anyway: government contracts gone, & regulators barred the big ad groups from buying ratings like its own, as a condition of somebody else's merger. 1 large customer is left. It last claimed to be profitable in January 2022 & has disclosed nothing since.
  • We need you to grow it. We have plenty of zero-cost outreach strategies that need your experienced review.
  • Take 100% of quick ramp-up revenues until you've recouped 3x your time & costs + equity with ongoing profit sharing.
MOAT
  • We automatically improve the question & intelligently route to the best AIs on 448 (& growing) Accuracy & Safety Topics based on market research, internal testing, & real time at launch. We know which specific or multiple AIs in each topic to ask, & especially which AIs not to ask.
    iJust in our internal testing alone, AI accuracy data changed within days.
  • Human correction data far more detailed than the labs collect.
    iit isn't worth it for Attestation companies like Scale or Surge to get as granular. We get the byproduct of people doing exactly what they do today while becoming instant consultants for information they just give away free today, & simultaneously, effortlessly, build up a corpus of human corrections the AI labs will find valuable (some, not all). Google gave Wikipedia 3 billion facts, only 1% got in because there were not enough humans to check it. We also keep every AI's original answer permanently next to the correction, so our grading can always be checked, which almost no AI benchmark does.
  • Accuracy & safety, from the same crowd.
    iA wrong answer splits 2 ways: inaccurate, & unsafe. The same correction that fixes 1 measures the other, so safety costs us nothing extra. We map 245 safety topics across 22 categories, from the scams & deepfakes an ordinary person meets to prompt injection & agent tool use. Nobody has measured most of them.
  • 9 self-reinforcing viral games vs a best-in-world 3.
    iAccording to the 3 smartest AIs, no other company in the world runs more than 3 self-reinforcing flywheel loops. We run 9! Of course AI is trained to tell you what you want to hear, so, open to being corrected.
THE DECK THE MACHINE, DRAWN Contact us →
Our sites AImultisearch.ai Certainize.ai FixTruth.com FixAI.group Ucheck.ai
ReallySolved™Patent Pending🚧 Founding Era · Pre-launch

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    Which AI wins each topic

    This scoreboard is the brain behind Auto-Route: each question goes to the AIs with the best record on that topic. Simulated preview during pre-launch. Full analytics unlock at Pro ($19/mo)+.

    These scores are simulated, modeled on our own extensive testing of the Plus & Pro engines, the same testing that proved the Certainizer™ accuracy lift. The live version refreshes every day from real member searches.

    These score 1 AI on 1 topic. The odds below are for a whole question, including the fast-moving ones where every AI struggles.

    We don’t ask every AI. We ask the ones that are actually good at your topic. That’s what makes it both more accurate & less expensive than paying for these AIs separately.

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    3 popular AIs + the Certainizer™ verdict on every search.

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    AI answers keep changing, sometimes dramatically, in a single day. $19 buys you more accurate answers, less noise, less wasted time & embarrassment. Most importantly, we keep watching. When the models change their answer, we tell you, and hand you the receipts, so everyone knows AI got it wrong, not you. Being wrong is expensive. (proof in FAQ before launch)

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    *Measured, not estimated: we ran real questions whose correct answer was already known, then graded the answer Certainizer™ produced …

    Your advisor
    1Vote when the AIs disagree. Every 👍/👎 becomes human-corrected data AI companies pay to learn from. We split it 50/50 with you.*
    2Sell what you already know. Reading X-rays, crocheting action figures, spotting counterfeits: if you know random specific things most people don’t, we find companies that need an instant consultant (way better for them than how they do it today). Your free private notebook organizes it automatically. Stay anonymous, or get credited. Your call.
    *No income promised: payouts depend on real sales actually happening, & amounts vary.
    💰 Asking 3 AIs here already costs less than one subscription. Pro saves up to ~$7,000/yr vs. three $200/mo pro plans.

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