FountAI

Marketing & Sales AI · AI Agents

Overview

Fount unifies your insurance customer data with AI and actuarial science to drive profitable acquisition. Turn customer data into profitable policies, fast.

Funding and backers

Backers
1
Link Ventures
Momentum
0/100
no fresh signals
Last sign of life
1 mo ago
a posting or a news item
Tractionpublic signals, read monthly
Web presence
top 6%
of 133.2M domains by links, Common Crawl
Backed byfrom the funds' portfolios and accelerator catalogs
Investors in similar startupsfunds that back the companies most like this one
Similar startupsby what they do, their industry and backers
StratosVenture round $5.8M · 12 yr ago · Founded 2022 · 51-200 employees · 4 roles
Stratos builds an AI-powered Commercial Digital Twin for global B2B leaders. Unlock your fullmarket potential in 8 weeks. Start driving…
SilkChart11-50 employees · 1 role
SilkChart analyzes sales calls and measures how well playbooks are executed. It proactively surfaces coaching opportunities to managers…
BaseVenture round $5M · 6 mo ago · 51-200 employees · 3 roles
Base is the AI Engagement OS that drives adoption, advocacy, and expansion across the entire post-sale lifecycle. Turn customers into your…
StatfloSeries A $12M · 8 yr ago · 11-50 employees · 2 roles
Discover personalized business text messaging for engaging client conversations & building profitable relationships with Statflo's top…
CoraSeries B $116M · 5 yr ago · 201-500 employees
AI agents that actually do the manual work to serve and grow your customers. So your teams can focus on the human, relationship-driven work…
AI marketing that gets smarter with every campaign. Rawa unifies planning, content creation, and performance with cultural precision for…

Connections

List
Graph
Found in company registers, site code, DNS and hiring. Each connection shows how sure we are and the evidence, with its source and date.
Shared investors1
Link VenturesVia a fund
82 portfolio companies: Darwin, Conifer, Link Studio Cambridge and 79 more

News

Blog 5 months ago
Causal AI and governed action
The structure, the rails and the verification add up to one thing: an agent that can reason from cause to effect and then act on it, under governance, when a single budget move swings millions. Where the Marketer Graph is taking us, and where it still fal
Read more
Report
Blog 5 months ago
The evolution of Fount's agent harness
Quinley, our marketing chief-of-staff agent, has run on three significant versions: Quinley Base, Quinley Prime and Quinley Graph. The road from one to the next, and what the internal insurance marketing evals show. Part 2 of the Marketer Graph series.
Read more
Report
Blog 5 months ago
The Marketer Graph for Insurance
How Fount turns the mess of insurance marketing and customer data into a single connected graph agents can reason over, to measure cause and effect and take trusted, governed actions. The overview of a five-part series.
Read more
Report
Blog 5 months ago
Trust, rails and how we know it's right
A connected graph is only useful if the numbers coming off it can be trusted. How Quinley produces answers on governed rails, keeps every figure traceable, proves it is right by re-running reference logic against the warehouse, and gets sharper every week
Read more
Report
Blog 5 months ago
Turning marketing into a graph you can search
The structure underneath Quinley Graph: three simple tables of nodes, edges and events, confidence levels on every fact, and a four-lane hybrid search that surfaces the right knowledge from a question asked in plain language. Part 3 of the Marketer Graph
Read more
Report
Blog 5 months ago
Why are the leads down? The causal growth marketing problem
A simple Monday-morning question - why are the leads down? - still costs an insurance marketer most of their week, because the answer is scattered across systems that were never wired together to show cause and effect. Part 1 of the Marketer Graph series.
Read more
Report
Blog 6 months ago
Pricing a customer the way an actuary prices a policy
Customer lifetime value in insurance is premium times expected policy lifetime times underwriting margin. Treating CLTV as a pricing problem, with vintages, credibility, and margins for error.
Read more
Report
Blog 7 months ago
UTM hygiene at 80 campaigns: a field report
What it actually takes to impose a UTM taxonomy on dozens of live campaigns across multiple platforms: the failure modes, the naming convention that survived contact, the validator, and the unglamorous backfill that made CRM joins possible.
Read more
Report
Blog 8 months ago
Why your ad platform numbers will never match your CRM
Ad platforms and your CRM count conversions with different windows, identity models, and clocks, so they will never reconcile to the dollar. How to read the gap, pick a system of record, and stop chasing a match that cannot exist.
Read more
Report
Press release 10 months ago
The Seduction of CPL as a Metric
Cost per lead optimizes for cheap leads, not profitable policyholders. A unit-economics framework for insurance acquisition that prices leads off lifetime underwriting profit instead.
Read more
Report
Show more news