FirstTouch vs Neuron (2026)
The decision is whether you can see what the machine decided, or only what it returned. Neuron publishes the mechanism. Its natural language layer resolves a sentence into a query across roughly thirty filter families, and the vendor publishes the filter dictionary and a prompt cheat sheet alongside it, so a buyer can read exactly what their sentence became and rebuild it by hand if they disagree with it. Strip the layer out and a filter interface remains. FirstTouch publishes the output. Research and qualification agents are central to how the product is sold, the qualification judgement decides which people are contacted at all, and no model, provider, family or version is named anywhere, with no accuracy figure, confidence treatment or fallback published for the judgement itself. The nearest thing to a disclosure is a claim about output character rather than about the system, being that the messaging is crafted to read as more human than most. A person approves every message before it sends, so the words are read. The shortlist that produced them is not auditable.
- Customer evidence has to name the counterparty and the number. A linked case study names the customer and reports forty percent more qualified opportunities in a single quarter, with two named individuals quoted inside it, and testimonials carry name, title and employer rather than initials, including representatives at three well known software companies and one quantifying three additional opportunities in a first month. A marquee reference is named with a public figure attached, describing a social first motion behind a combined thirty million dollars of recurring revenue, and the investors are named and checkable, including the founders of the two companies this team came from.
- The prerequisite should be published rather than discovered on the call. The buyer is a business to business sales team already running one specific system of record, the vendor says so plainly, and it states equally plainly that it does not support the other major platform, which is a disqualifying condition most vendors leave a prospect to find out. Within that boundary the host platform's own tiering is mapped to what a buyer actually gets, with native workflow action cards above one threshold and extension based execution below it.
- The record of what was done should live where you already keep records. Every connection request, message and reply is written into the customer's own system of record with its trigger context attached, so social activity carries the same attribution as email and the history sits in an environment whose residency and retention the buyer already controls. A departing customer keeps the thing the product was bought to produce, and a current one retains visibility of what was done on their behalf without asking the vendor for it.
- Restraint is worth something in a category this loud. The homepage never claims artificial intelligence at all, the strongest language located anywhere is an intelligent sidekick and active learning applied to verification technique, and the removal test leaves the business standing almost whole: the permutation engine that assembles work addresses, the mail infrastructure checks that test them, the multiple attribute matching and telecom confirmation behind mobile numbers, the extension, the four connectors and the unlimited export path all sit below any model. What disappears is a sentence box, and a filter interface is underneath it.
- The connectors are chosen rather than counted, and their upkeep is described. Four named integrations cover a system of record, a spreadsheet destination for teams without one, and both of the sequencers a buyer at this size already licenses rather than a replacement for them, with field mappings configurable and single sign on through two providers on every tier including the free one. The security page adds that the native integrations are official partner arrangements subject to an annual security and compliance review, which is a statement about how the attachments are maintained rather than a logo grid.
- A named region beats a residency page with nothing on it. Infrastructure runs on one cloud provider with a primary location in Oregon in the United States, across multiple availability zones for redundancy, stated plainly and without needing to be asked twice. Two qualifications belong in the same breath: the same answer adds that other regions of the provider are tapped as needed, which reopens what the primary location closed, and the corporate flow goes unaddressed, since this is a Canadian entity processing in a United States data centre with no transfer mechanism named.
Plain facts
| FirstTouch | Neuron | |
|---|---|---|
| Primary category | LinkedIn & Social Selling | Data & Enrichment |
| Founded | 2024 | 2014 |
| Headquarters | Boston, Massachusetts, United States | Waterloo, Ontario, Canada |
| Website | www.firsttouch.com | neuron.com |
Side by Side
| Axis | F FirstTouch |
N Neuron |
|---|---|---|
|
AI Capability
|
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| AI Centrality | ||
| Autonomy and Oversight Model | ||
| AI Disclosure and Model Transparency | ||
| Operational and Outcome Evidence | ||
|
Compliance and Risk
|
||
| Outreach Compliance Posture | ||
| Data Privacy Posture | ||
| Data Licensing and Provenance | ||
| Platform Terms Exposure | ||
| AI Safety and Data Stewardship | ||
| Recipient Disclosure and Authenticity | ||
|
Integration and Deployment
|
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| Ecosystem and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Security Certifications and Trust Center | ||
|
Commercial and Operational
|
||
| Commercial Transparency | ||
| Exit and Data Portability | ||
| Deliverability and Sending Discipline | ||
| Segment and Market Coverage | ||
The short version of each
FirstTouch
FirstTouch is an execution layer that makes professional network outreach a native channel inside one system of record, firing connection requests, messages and profile visits from workflow cards or lists and logging every touch back to the contact timeline. The GTM Tech Index grades it C on AI disclosure and model transparency, because research and qualification agents are central to how the product is sold and the system behind them is undisclosed: no model, provider, family or version is named anywhere located, and no accuracy figure, confidence treatment or fallback is published for the qualification judgement, which is consequential because that judgement decides which people get contacted at all. The nearest thing to a disclosure is a claim about output character rather than about the system.
Source: GTM Tech Index, 2026
Neuron
Neuron supplies business contact data through a browser extension rather than a fixed database, from a Waterloo company trading as Planleaf, with every paid tier unlimited so the credit arithmetic governing most of this category is absent. The GTM Tech Index grades it C on AI centrality, because stripping the model layer leaves the business standing almost whole: the permutation engine, the mail infrastructure checks, the multiple attribute matching, the telecom confirmation, the extension, the four connectors and the unlimited export path all sit below any model. What disappears is the natural language front end onto filters the vendor already publishes as a dictionary, so the fallback is a filter interface rather than a sentence box. The homepage never claims artificial intelligence at all.
Source: GTM Tech Index, 2026
Common questions
Is FirstTouch better than Neuron?
One publishes the mechanism and the other publishes the output, and that is the decision. Neuron's natural language layer resolves a sentence into a query across roughly thirty filter families, and the vendor publishes the filter dictionary and a prompt cheat sheet, so a buyer can read what their sentence became. FirstTouch sells research and qualification agents as central to the product, and the GTM Tech Index grades both C on AI disclosure because neither names a model, but at FirstTouch the qualification judgement decides who is contacted at all and carries no published accuracy, confidence treatment or fallback.
Can you see how the shortlist was built?
At Neuron, largely yes. The plain language instruction resolves into filters the vendor documents publicly, so a buyer can inspect the query, rebuild it by hand and disagree with it. The gap sits one layer along, in the dynamically scored profiles the workflow surface says the system learns from a buyer's prospecting activity, where nothing states who can inspect or switch that off. At FirstTouch, no. Qualification gating is described as ensuring only real profile fits are touched, which is a genuine targeting discipline almost nothing else in this category offers, and the judgement behind it is not exposed, measured or appealable.
Which one claims to use AI?
Only FirstTouch, which is the inversion worth noting. FirstTouch sells research and qualification agents as central to how the product works. Neuron never claims artificial intelligence on its homepage at all, and the strongest language located anywhere is an intelligent sidekick and active learning applied to verification technique. The GTM Tech Index grades both C on AI centrality and applies a convention that treats a competent product making no model claim as neither better nor worse for it, so the restraint costs Neuron nothing and the claim earns FirstTouch nothing.
How much do FirstTouch and Neuron cost?
Both publish a number, and the GTM Tech Index grades FirstTouch A on commercial transparency against B for Neuron. FirstTouch runs one price and one unit at ninety nine dollars per seat per month with five hundred credits included, a single shared credit pool, overage at two cents a credit, no tiers and no setup fee, and it publishes where self serve stops. Neuron removes the arithmetic instead, at seventy nine dollars per user per month with paid tiers unlimited on emails, mobile numbers and exports, and is held below the top band because the ladder ends at a quote only tier holding the administrative equipment a growing team needs.
Where does each one's contact data come from?
Neuron answers it mechanically and FirstTouch answers it by category. Neuron assembles work addresses as permutations verified in real time against mail infrastructure rather than served from a stored file, and attributes phone numbers to named supplier categories covering mapping providers, public listings, corporate websites and telecom providers, which earns it B on data licensing. FirstTouch is graded C for publishing a class list rather than a supplier list, naming public social profiles, professional networks, market trends and industry reports, with credits that buy work addresses and mobile numbers whose origin is unstated. Its engagement signal sourcing also turns people who liked or commented on a post into a qualified audience.
How does the GTM Tech Index grade FirstTouch and Neuron?
Both are graded on the same seventeen capability and compliance axes from public sources, at documentation depths of sixteen and seventeen respectively. The GTM Tech Index grades FirstTouch A on commercial transparency, and B on autonomy and oversight, ecosystem depth, operational evidence and segment coverage, with a single D on platform terms exposure. Neuron takes B on data licensing and provenance, deliverability discipline, deployment and residency, security certifications, commercial transparency, ecosystem depth and exit and portability, with no A and no D on any axis. The index publishes no composite score and declares no winner.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Sales Engagement & Outreach page.
The shared silence is that neither vendor names a model provider, which means neither has a third party relationship whose terms a buyer could go and read. At FirstTouch no model, provider, family or version was located anywhere, and the consequence runs further than the disclosure itself: with no provider named, there is nothing for a training or retention commitment to attach to, and nothing states whether approved message drafts, research output, enrichment records or the engagement graph feed any model, or where the boundary sits between what an operator's connected assistant sees and what the platform retains.
At Neuron the same absence covers provider, family, version, hosting arrangement, boundary and processing terms, and two laboratory products carried in the site navigation are unexplained anywhere on it. The second silence is the one that matters more to a buyer, because it concerns the layer that decides who gets contacted.
FirstTouch publishes no accuracy figure, confidence treatment or fallback for its qualification judgement, and Neuron publishes none for the scoring behind the curated leads and dynamically scored profiles its workflow surface says the system learns from a buyer's own prospecting activity, with no statement of who can inspect that scoring, correct it or switch it off. Both vendors are asking a buyer to accept a filter on their market without a measure of how often it is wrong.
One exposure is worth naming and it belongs to FirstTouch alone. The vendor markets that its messaging is crafted to bypass filters that detect machine written content, which on the kinder reading is a claim about copy quality and on the plainer one is undetectability offered as a benefit, and Article 50 of the EU AI Act, effective from August 2026, runs the other way by requiring that people be told when they are interacting with generated content.
The benign reading is available and probably correct, since a person approves every message before it sends and the claim reads as marketing about tone rather than a compliance position, and nothing here asserts that the vendor is out of compliance with anything.