GTM tools give advice that was current the day they shipped.

AI engines cite different sources.

Context layers remember one company, while Fraktal tracks results across the market.

Y Combinator has funded 53 context and memory layers since 2024. We read all 53 descriptions, and none says it sells data on what works across companies.

• Mem0
• Zep AI
• Hyperspell
• Airweave
• Onyx
• Wordware
• Ergo
• Octave

See the 18 companies in our comparison table

Company	Whose data	Pooled outcomes	Why-labels	Sold to other tools	Neutral	Raised
Remember one companyContext and memory layers. They know your docs, calls, email and CRM. They answer: what do we know about us?
Mem0 YC S24"An intelligent memory layer" for AI assistants and agents that "remembers user preferences" (YC page).	One user's or company's					$24M
Zep AI YC W24"Unifies business data, documents, and conversations into shared, governed context so agents can complete tasks" (YC page).	One company's					$500K
Hyperspell YC F25"Your Company Brain." A live context graph of one company's tools that "any agent can read from" (YC page).	One company's					$1.0M
Airweave YC S25Open-source context retrieval that turns a company's private sources into knowledge bases for agents (YC page).	One company's					$6M
Onyx YC W24Open-source chat connected to "your company's docs, apps, and people" (YC page).	One company's					$10M
Wordware YC S24Sauna: "one shared brain" that "holds your context" and builds software on it (YC page).	One person's or team's					$30.5M
Ergo YC W25"The context layer that helps revenue teams close more deals": ingests one team's calls, email and Slack (YC page).	One sales team's					$2.8M
Octave"Grow revenue with a context layer that learns" (home page). Learns one company's messaging.	One company's					$8.4M
Fetch the public webFresh web pages for agents. Raw pages, not results.
Context.dev YC S26"Gives AI agents structured data from any website through a single API" (YC page). Pages, not results.	The public web					$9M
Hold GTM results, keep themThey measure what works across their own customers, then use it inside their own product or give it away as reports.
Imagine AI YC F25"Reverse engineering modern B2B growth, starting with LinkedIn" (YC page). Its benchmark counts reactions, not replies or revenue; exact numbers are for its customers.	Public LinkedIn posts					$500,000
Gojiberry AI YC Sp26An AI sales team that "uses what works across similar companies". The pooled data stays inside its own agent.	Its customers' campaigns					not found
GongFree research from "billions of sales interactions across 5,000+ companies". Benchmarks "coming soon". Not sold as data.	5,000+ companies' sales calls					$584M
SmartleadA free report on "more than 850 million emails". Its API returns your own account's numbers only.	850M+ cold emails					not found
MotionBenchmarks from 578,750 ads. The measure is spend, "not ROAS, CPA, revenue, or conversion". No API for the benchmark.	$1.29B of Meta ad spend					$42M
AtriaAn API over "25M+ ads" tagged by hook and angle. Spend and ROAS only from your own ad accounts.	25M+ public ads					not found
Sell who to sell toContacts, companies and buying signals.
ZoomInfo"The headless GTM context layer" (GTM.AI). Contacts, companies and buying signals through an API and MCP.	500M contacts					Public company
ClayValued at $7.1B. Its new Skills Marketplace of community GTM playbooks shows copy counts, not results.	Contacts and companies					$325M
AutoboundLicenses "700+ signals across 35 feeds" to other platforms. Company and contact events, not results.	700+ buying signals					$5.0M
FraktalWhat we are building. Not done.	The market's results

Yes Partly No, or not on its public pages

Pooled outcomes

Results of GTM work (replies, meetings, revenue, citations) measured across many companies.

Why-labels

Each result tagged with why it worked: the hook, angle, format or buyer.

Sold to other tools

An API, feed or licence another product can build on.

Neutral

Competes with none of the tools that would buy from it.

Ratings are our reading of each company's public pages and YC profile on 27 Oct 2026 (Gong, Smartlead, Motion, Atria, Imagine AI, Gojiberry, ZoomInfo, Clay, Autobound and Octave also from Bojan's research page, 26 Oct). A company can hold data it does not publish.

Imagine AI (YC Fall 2025) says it is “reverse engineering modern B2B growth, starting with LinkedIn.” Its public benchmark counts reactions, not replies or revenue, and it uses what it learns in its own content product. Fraktal sells to the tools, competes with none of them, and measures results, not reactions.

Founders never see Fraktal.

1. 01ResultsThe public web, plus agencies and tools that share theirs
2. 02FraktalLabels them, refreshes every two weeks
3. 03GTM toolsAsk through an API
4. 04Your foundersGet current advice

ExampleA tool asks for LinkedIn, US tire shop owners, booked calls. Fraktal returns the posts that work for that buyer now and the ones that stopped working.

The data exists, and its owners give it away as reports.

• Gongdata from5,000+companies
• Smartlead850 millioncold emails
• Motion$1.29 billionof ad spend

Selling that data to other tools would help their competitors. Fraktal competes with none of its customers.