Every week, CX Network publishes the top funding news from the CX and customer service start-up space with a focus on the firms CX and service leaders need to know about.
This week's bulletin covers:
- Actionable's $10m raise for customer scoring solution
- Lightfield CRM's $47m Series A
- Resect AI's private equity boost of $25m
- Askpolly's $3m raise for platform growth
- Guickly's $4.2m Seed
Actionable raises $10m to address survey fatigue and boost NPS and revenue
Paris-based insights platform Actionable raised US$10 million in a funding round led by European B2B venture capital fund, Hi Nov. Existing investor Axeleo Capital raised its stake in the round.
Founded in 2024, Actionable addresses a gaping hole in many insights strategies: the dashboard shows a decline in satisfaction or revenue, but no action is taken. The platform assesses each customer's likelihood of quitting, complaining, or making repeat purchases, then – rather than relying on a survey response – provides explanations for its assessments.
"The measurement existed. The granularity a decision needs did not. That is the layer we built," said co-founder and co-CEO, Nicolas Rieul.
Working off raw data such as receipts, call center logs and delivery times, Actionable creates a Common Customer Data Model specific to each industry. The platform then assigns scores to all customers based on four factors: churn, satisfaction, complaint risk and repeat purchase.
Customers include major French names such as Carrefour and SNCF.
Through the platform, Carrefour discovered that six minutes and twelve seconds of waiting at a click-and-collect counter leads to a decline in Net Promoter Score. SNCF generated an additional €180,000 in revenue and a 53-point increase in NPS among customers who had previously been dissatisfied over a six-month period.
Co-founder and co-CEO Nans Thomas added: "Putting an LLM on top of a data warehouse is not enough: without business context, an AI reads raw tables very badly. The hard part is turning hundreds of tables and in-house definitions into a customer model a machine can use without getting it wrong. That is what we spent two years building, industry by industry."
Lightfield raises $47m in Series A to build its AI-ready CRM
Lightfield raised $47 million in its Series A, led by Andreessen Horowitz with participation from Maverick Capital, Coatue, Audacious, Alumni Ventures, Greylock and Lightspeed Venture Partners.
Less than a year old, Lightfield has seen more than 5,000 companies have signed up for Lightfield since its November 2025 launch. The reason is that AI is making the traditional CRM outdated. Organizations today require a new system of record designed for deep understanding, not AI features added to the old one.
This is the gap in which Lightfield now operates.
For decades, customer relationships have been translated into fields, stages and whatever someone had time to enter, stored in a structure today's AI agents can't reason from.
This means that when layered onto legacy CRMs like Salesforce or HubSpot, agents inherit incomplete fields, stale close dates, and notes written from memory after the call. As a result, they produce work companies often cannot verify or trust.
This is where the new system of record comes in.
Lightfield's CRM is what employees enter information into, not the platform agents work from. It builds a comprehensive record from every customer interaction, captured as it happens, and structured so agents can understand what is true and predict what happens next.
Every person and every agent at a company works from the same accurate, current picture of every customer: what they said, who said it, and how it changed the state of the business. Knowledge that once lived in one person's head or one team's tool becomes the context the whole company operates on.
Keith Peiris, co-founder and CEO, said: "Agents don't fail because the models aren't capable. They fail because the data they work with is incomplete, inaccurate, and missing the structure needed for comprehension."
Resect AI raises $25m from unnamed PE investors as it looks to eradicate LLM hallucinations
Resect AI launched out of stealth this month, raising $25 million from a group of unnamed private equity investors, allowing it to advance R&D, GTM initiatives and local talent acquisition in greater Seattle and Portland.
Resect AI addresses the trust gap in AI: experimentation is booming, but enterprises lack trust in AI when it comes to production and customer-facing environments. Resect says this isn't confined to regulated industries such as healthcare and finance, but is holding AI back in everything from fast-food chains to aerospace giants.
However, it's easy to see why. The press announcement states AI hallucinations cost businesses "tens of billions of dollars globally".
Resect AI develops technology to detect and correct large language model behavior before hallucinations reach users. Its technology will be open source, giving enterprise product suites the ability to look "deep inside LLMs" to observe, detect, interpret, audit and modify the behaviors of AI models to bring an accountability layer to the tools.
CEO Kevin Owens said: "AI has prematurely been put in a position of trust. Adding labels such as 'use at your own risk' flies in the face of proper governance or compliance.
"AI must be anchored in truth to be widely adopted across the enterprise," he continued. "We are building the next large enterprise AI company to bring transparency and accountability to AI for industries such as publishing, finance, healthcare, research, and education where factual accuracy is absolutely critical."
askpolly raises $3m to advance verified insights without bias
In another development from the customer listening space, Microsoft partner askpolly raised $3 million in a Seed round led by Differential Ventures, with participation from The 98 and Forum Ventures.
The AI-powered self-serve platform presents verified insights from organic social media, filtering out bots, influencers and paid content to build representative samples based on census demographics. It is used by marketing teams that need faster decisions and data leaders who must ensure those decisions rest on credible evidence. The aim is to help companies gauge what real audiences think without waiting weeks for a traditional survey.
Its customer base already includes McDonald's, Mastercard and more than 200 other companies, which utilize its audience analytics and message testing capabilities.
Co-founder and CEO Erin Kelly said: "Market research has not kept pace with the way people communicate. Consumers are already sharing what they think online, but the loudest voices are not always representative."
askpolly will use the launch funds for product development and GTM expansion.
Guickly raises $4.2m Seed to give enterprises control of AI investments
We're all familiar with the difficulties in proving a return on AI investments. In fact, McKinsey says only 39 percent of organizations can attribute any bottom-line impact to AI.
Guickly aims to solve that, answering questions such as: How much is AI costing, where is it operating within the organization, who is using it (and who is not), who is tokenmaxxing, and what is AI's return?
To do this, it allows companies use to identify and measure AI spend and its ROI, controlling and curtailing runaway AI usage without sacrificing performance and while optimizing AI usage.
It has raised $4.2 million in Seed funding, led by Engineering Capital.
"Today, organizations are already spending as much on AI as they do on cloud infrastructure, but unlike the cloud, they may have no idea where that money is going," said founder Prashant Jalan, who is the former Applied AI Lead at Google. "When I was leading an Applied AI team at Google and making products for billions of people, I traced where every cycle and every byte was going. But I realized that even the largest tech companies didn't always know what AI was doing within their walls. So I resolved to fix that!"
Guickly shows AI leaders every AI tool (including shadow AI), every AI agent, and every dollar spent on AI in one place. It integrates into enterprises' existing environments and the measurement it provides also gives leaders the foundation to rein in and get more from every AI spend.
Guickly reveals shadow usage, sets budgets per employee and per tool, and flags waste like unused licenses and overpriced models.
Quick links
- Every VC CX deal you need to know: September 4
- Every VC CX deal you need to know: August 28
- Every VC CX deal you need to know: August 21