Table of Contents

NOAN Investment Report

NOAN Investment Report

Category: A system for storing a company’s approved facts (pricing, positioning, policies) and serving them to AI agents through an API, an MCP server, and Slack

Company Stage: Pre-seed. The company reportedly plans to raise a $4M seed round

Founders: Neal Mann (CEO and co-founder). Markham Nolan is reported as a co-founder. Other co-founders have not been identified

Headquarters: New York per LinkedIn and PitchBook. The CEO lives near Lisbon (Applied Comms AI)

Funding: A reported $1.1M pre-seed from angels. PitchBook lists Unicorn Factory Lisboa as an accelerator investor

Business Model: Seat- and plan-based B2B SaaS subscriptions, plus Enterprise contracts and a consultant revenue-share channel

Product Hunt Launch Date: September 24, 2026 (relaunch). The first launch was in 2025

Report Date: September 29, 2026

Investment Metric	Assessment
Venture Potential	49/100
Unicorn Path	Conditional
Valuation Attractiveness	Not Assessable
Evidence Confidence	38/100
Final Decision	Watch

Executive Summary

NOAN stores a company’s approved facts, such as pricing, the ideal customer profile (ICP), brand tone and refund policy, as separate “blocks.” Each block is verified by a person and versioned. People and AI agents read the same blocks through an app, an API, an MCP server, and a Slack agent called “Verity” (Product Hunt). The relaunch also released an MIT-licensed agent pack for customer support, sales decks, market research and newsletters, which runs on the customer’s own GitHub account and model API keys.

By the company’s own account, its core customers are non-technical founders and small teams (Blue Earth; Applied Comms AI). The CEO says, “we started and will always design for one person running a global company.” Enterprise pricing is published, but no enterprise customers have been verified.

The idea behind the product is sound: governed, version-controlled facts do reduce the risk of agents contradicting each other. The engineering shown publicly is careful. The agent pack defaults to safe mode, records its own actions, and supports several model providers.

The strongest positive signal is reported revenue. A partner publication says NOAN has about $130K ARR growing 10–20% month on month. That number is company-reported, it is undated, and it could not be verified.

The biggest concern is that this idea is being attacked from many directions at once. Knowledge platforms (Glean, Guru, Notion AI), memory-layer startups, and the model providers’ own project and memory features all compete for it. NOAN has also changed its positioning several times. It moved from a 2025 “superhuman business partner” for entrepreneurs, to a consultant program, to WhatsApp and CRM features, and now to a “fact layer for agentic business.” It is not yet clear who its core customer is.

Decision: Watch. The product is credible and some revenue is reported. The low ARR, a small audience, an unclear team structure and weak defensibility do not yet justify formal due diligence.

Product Overview

The customer problem is that AI tools pulled from scattered documents give different versions of the same company. NOAN’s answer is to treat each fact as a unit with an owner, an approval, a version history, and a list of everything that reads it (Facts page). Features include:

A company graph linking facts, contacts, tasks and assets.
“Time Travel,” which shows the fact base as it stood on any date.
Agent API keys with per-feature permissions (LinkedIn changelog).
Fact extraction from uploaded documents.
A compliance checker.
An activity feed covering both human and agent actions.

Pricing (pricing page):

Plan	Price	Notes
Free	$0	1 project, 40 facts, 150 contacts
Starter	Not shown on the page as retrieved	Extra seats $79/month
Team	$249 or $299/month (sources conflict)	5 seats included, up to 15
Enterprise	$3,500/month base (search snippet of the pricing page)	Up to 20 seats, then $125/seat; $7,500 onboarding

The Team price conflict is between the Facts page example ($249) and an indexed version of the same page ($299). This analysis uses about $250–300 a month. That the price example on NOAN’s own “verified facts” page has changed is not important in itself, but it is worth noting.

The product runs on the web, through the API and MCP (Claude, Claude Code, Cursor, Codex), in Slack, and on WhatsApp. It replaces:

Wikis and shared drives.
Prompt files and “markdown brain” repositories.
Some of what a CRM or CMS does. NOAN says its own website runs with neither.

Founder and Team Assessment

Neal Mann’s background (personal site), as he reports it:

Field producer at Sky News.
Social and editorial innovation at the Wall Street Journal.
Digital strategy at News Corp Australia, 2014–15.
About seven years building a consulting division at the agency Anomaly, with clients including Microsoft, Google and Expedia.

This is credible, publicly visible experience in media and transformation consulting. It fits a product about company knowledge and messaging. He has no verified prior startup exit and describes himself as non-technical.

Markham Nolan was reported as a co-founder in early 2025. His LinkedIn headline, as indexed, appears to reference another employer (“Fin”), so whether he is still involved is unverified. The CEO mentions “two technical co-founders” who are not named in any retrieved source.

LinkedIn lists a company size of 2–10, with 22 people associated. Posts get very little engagement (mostly 0–10 likes). The company says an agent fleet handles sales follow-up, support and reporting (pricing page). That shows the product in use, but it also points to a very small human team.

A UK company called “NOAN Technology United Kingdom Ltd” exists on Companies House with one unrelated director. No link to NOAN is established, and the legal entity is not verified.

Founder Assessment: Strong domain storytelling and consulting background; the technical leadership, team composition and co-founder commitment are unverified.

Market Opportunity

The narrow initial segment is AI-heavy startups and small businesses with 1–25 people, especially founders raising money, that run several AI agents and need consistent company facts.

A bottom-up estimate, using analyst assumptions:

Assume 100,000–300,000 English-speaking small firms worldwide actively running agents on company knowledge by 2027.
Assume $3,000–$6,000 a year each (Team plan plus seats).
That gives an addressable pool of about $300M–$1.8B.

That could support a venture outcome only if NOAN wins a large share or moves into mid-market and enterprise, where its $42K+ a year Enterprise base price applies.

Expansion ideas the company has described include letting investors and lenders query a company’s facts directly during due diligence (Blue Earth), agencies and consultants (a 30% revenue-share program), and enterprise governance and audit. Users are claimed across the US, UK, Europe, South Africa, Saudi Arabia, Australia and South America.

Timing is favorable, since interest in agent grounding and a “company brain” is high, but it is equally favorable for much larger competitors.

Traction and Growth Signals

Launch attention: #3 Product of the Day on September 24, 2026, with 309 votes (secondary aggregator). This is the second launch; the 2025 launch targeted entrepreneurs.

Company-reported signals (Blue Earth):

About $130K ARR.
10–20% month-on-month growth.
$1.1M pre-seed raised.
Some users spending up to 6.5 hours a day in the product.
About 90% of users using voice control (Applied Comms AI).

None of these are verified, and the ARR figure’s date is not stated.

Product activity: A steady changelog runs from May to September 2026 (Company Graph, Fact Extraction, Time Travel, Activity Feed, agent keys). There are public GitHub repositories (agent-pack, skills). Integration teasers mention Clay and Lovable, but no partnership has been confirmed.

Missing: paying customer count, retention, ACV mix, pipeline conversion after the pivot, and GitHub adoption numbers.

Traction Assessment: There are early revenue claims and consistent shipping, but commercial scale is small and unverified.

Competitive Position

Direct and adjacent competitors:

Knowledge-management products. Guru emphasizes verified knowledge, which is the closest match to NOAN’s “verify gate.” Glean, Dust and Notion AI are also here.
Agent memory layers. Maximem Synap launched the same day.
CRMs adding AI context.

Free alternatives: markdown or GitHub “company brain” repositories, Claude and ChatGPT project knowledge, and Notion pages served over MCP.

Current differentiation:

Facts as atomic, versioned, permissioned API objects, rather than documents that are searched.
A human verification gate before facts change.
An audit trail across humans and agents.
Model neutrality.

Giving away the agent pack is a clever way to generate demand. It also makes the agent layer free and leaves the fact store as the only thing customers pay for.

Six-month test: if Notion, Glean or Anthropic added verified, versioned “facts” with an approval step and MCP access, NOAN’s remaining advantages would be focus and a head start on product design. Neither is durable. Switching costs grow as facts accumulate, but facts are structured text and easy to export.

Defensibility Assessment: Low.

Business Model and Economics

Revenue comes from plan subscriptions, extra seats and projects, Enterprise contracts with onboarding and premium support, and metered overage.

Gross margin should be structurally good, because the agent pack uses customers’ own model keys. NOAN’s main inference costs are Verity, fact extraction and the in-app assistant. Actual margin is not disclosed.

The main economic issues are:

Small contracts. A Team customer is worth about $3,000–3,600 a year.
Churn risk. Solo founders and small startups churn at high rates.
Consultant channel. The 30% revenue share lowers net revenue per account.

At $130K ARR, even the high end of the reported growth range (20% a month) would take roughly two years to reach $10M ARR.

Unicorn Path

The assumed multiple is 10x ARR. That is typical for a growing B2B SaaS company with good margins, discounted for small contract sizes and a crowded category.

Required ARR = $1B ÷ 10 = $100M

At a Team-level ACV of about $3,300: roughly 30,000 paying customers, before churn. That is implausible for a company selling mostly to solo founders and small startups.
At a blended $15K ACV (mix including Enterprise): about 6,700 customers.
At Enterprise ACV of about $50K+: about 2,000 customers.

The current $130K ARR would need to grow about 770 times. Reaching that scale would require:

Moving to mid-market and enterprise governance buyers.
Winning the “system of record for agents” position against incumbents.
Building partner distribution (agencies, agent platforms).
Raising the planned seed round.
Building a real engineering and sales team.

Unicorn Path: Conditional. It depends on a move to enterprise that the founder’s stated focus on the smallest companies works against.

Valuation Assessment

Known funding: a reported $1.1M angel pre-seed, and Unicorn Factory Lisboa listed by PitchBook as an accelerator investor. No valuation, SAFE cap or instrument has been disclosed. A $4M seed is reportedly being raised, with no terms available.

Later-stage knowledge platforms like Glean are not meaningful comparables at this stage.

Valuation Attractiveness: Not Assessable. Pricing it would require:

Verified current ARR and its date
Customer count by plan
Logo and revenue retention
Gross margin
Burn and runway
Pre-seed terms and cap table
Proposed seed pre-money valuation and terms
Co-founder vesting and ownership

Key Risks

Unclear focus. Several repositionings, alongside CRM, WhatsApp, consultant and agent features, suggest the core customer is still unsettled.
Bundling by platforms. Notion, Glean, Guru and the model providers’ projects and memory features can cover most of this need.
Small, churn-prone customers. Solo and small-team customers have low ACV and short lifetimes.
Team uncertainty. A co-founder’s status is unclear, the technical co-founders are unnamed, and the human team is very small.
Unverified traction. The ARR and growth figures are company-reported, undated, and come from a partner publication.
Commoditization. Open-source agents plus MCP make the fact store easy to replicate, for example with Postgres plus an approval workflow.
Channel economics. The 30% consultant revenue share erodes margins and adds support work.
Governance and security exposure. Agents that write facts, email contacts and reply to customers create liability if safeguards fail.
Legal entity not confirmed. The corporate structure spanning the US and Portugal is unclear.

Final Assessment

Venture Potential: 49/100

Category	Score
Market Size and Expansion Potential	13/20
Traction and Growth Evidence	6/20
Founder and Team	9/15
Product Strength	6/10
Distribution Potential	6/15
Business Model and Economics	6/10
Defensibility	3/10
Total	49/100

The strongest parts of the case are a sound product idea, careful engineering and some revenue. The weakest are defensibility, team verification and distribution beyond the founder’s own network.

Evidence Confidence: 38/100

Verified: the CEO’s identity and career, the product and changelog, the GitHub repositories, partial pricing, and Product Hunt results.

Company-reported: ARR, growth, pre-seed amount, usage claims, geographic reach and fundraising status.

Conflicting or partial: the Team price ($249 vs $299), the Starter price, and the co-founder roster.

Unavailable: customer count, retention, margin, burn, valuation and the legal entity.

Final Decision: Watch

NOAN is a real product with a thoughtful design and reported early revenue. Its venture case is limited by small contract sizes, weak defensibility, uncertainty about the team, and unverified traction. It is not a Pass, because the reported growth and the enterprise option are worth following. It is not DD yet, because the evidence does not support formal diligence.

Upgrade Conditions

These would move the decision to DD:

Verified ARR of $500K or more, with growth of 10% or more a month sustained over at least six months.
At least five Enterprise or mid-market contracts at $25K+ ACV.
Twelve-month logo retention of at least 75% for Team plans.
The full team confirmed, including technical co-founders with vesting.
Measurable adoption of the agent pack and MCP (active API keys, forks) that turns into paid plans.
A seed round priced by an institutional lead.

Downgrade Conditions

Another pivot in positioning.
A major platform launching a verified-facts feature.
Flat or declining ARR.
Confirmation that a co-founder has left without replacement.
Revenue claims that turn out to be inaccurate.
An incident caused by agents acting on customer data.

Questions for Further Diligence

What is current ARR as of this month, and what share comes from Starter, Team, Enterprise and the consultant channel?
How many paying customers are there, and what are 3-, 6- and 12-month logo and revenue retention by cohort?
How many Enterprise contracts exist at the $3,500/month base price, and who buys them?
Who are the technical co-founders, what are the equity splits and vesting, and what is Markham Nolan’s current role?
How much revenue and churn came from the 2025 entrepreneur product compared with the current fact-layer positioning?
How many API keys and MCP connections are active weekly, and how many agent-pack installs have turned into paid plans?
What is gross margin after inference costs for Verity, extraction and the assistant?
Why won’t Notion, Glean or Guru make verified, versioned facts a standard feature?
What are pre-seed instruments and caps, and what are the target terms and lead for the $4M seed?
What legal entity holds the IP, and where is the company incorporated?
How many consultants have been certified, and what share of new revenue do they generate?