About us

Buyer teams can’t tell which “agent” products actually match the pitch, whether you’re reading vendor sites or keeping up with multi-agent AI news. The gap shows up fast once you ask what each agent in AI operations is actually allowed to do after go-live. Demos look turnkey; production hides handoffs. SLAs slip. Data handling diverges from what legal reviewed.

Regulators and the trade press have both drawn lines between hype and proof. FTC matters include AI sold as a substitute for professional judgment, conversational tools tied to overstated earnings stories, and assistants that made fake reviews easy. Separately, reporters have scrutinized how some “AI-native” vendors represented automation and traction. The pattern is the same: claims outran verification.

• DoNotPay - FTC action (Operation AI Comply, 2024) over marketing an “AI lawyer” and related claims the agency said were not substantiated.
• Air AI - FTC settlement (2025–2026) over alleged deceptive business-opportunity and performance claims tied to its conversational AI offering.
• Rytr - FTC action over an AI writing feature marketed for reviews and testimonials the agency said could mislead consumers and competitors.
• Builder.ai - The Wall Street Journal reported that much of the work was done by human engineers rather than AI as marketing implied; Bloomberg and others later reported financial scrutiny (the company later entered insolvency proceedings).
• 11x.ai - TechCrunch and other outlets reported disputes over customer logos and revenue representation versus what the company presented to the market (2025).

Examples combine public FTC complaints and orders with widely cited press reporting, Signal does not independently verify. Not exhaustive; FTC matters may settle without admissions.

Honest vendors drown in the same noise as bad actors. Buyers need workflow-grounded evidence for intelligent agents in real operations, not another logo wall.

Signal helps buyers shortlist with proof tied to how work actually runs, and gives serious teams building an AI a way to show capability instead of only saying it.

We’re ex-founders who’ve shipped, sold, and learned the hard way that “trust us” does not ship on a sprint. We’ve earned our stripes everywhere from Amazon (big-company muscle) to AngelList (startup caffeine), so we’re allergic to vapor and fond of receipts.

Signal is the tool we wish we’d had in the room: validation that still makes sense on a random Tuesday, not just in the deck.