Solidroad raises $25M Series A to automate customer support quality assurance with AI



In short: Solidroad, a Dublin and San Francisco startup founded by Intercom alumni, has raised $25 million in a Series A led by Hedosophia to automate customer support quality assurance using AI. The platform reviews 100% of customer interactions versus the industry standard of 1-3%, and counts Ryanair, Crypto.com, and Oura among its customers.

Solidroad, a Dublin and San Francisco-based startup that uses AI to automate quality assurance for customer support teams, has raised $25 million in a Series A round led by Hedosophia, the UK investment firm. The round follows a $6.5 million seed led by First Round Capital with participation from Y Combinator, and brings the company’s total funding to $31.5 million.

The company was founded in 2023 by Mark Hughes and Patrick Finlay, both former Intercom employees, and currently has 20 staff across its two offices. Its customers include Ryanair, Crypto.com, and Oura, alongside large outsourced contact centre operators like PartnerHero and Tech Mahindra.

The problem it solves

Most customer support operations review between 1% and 3% of their interactions for quality. A team lead listens to a handful of calls, reads a few chat transcripts, and scores them against a rubric. The process is slow, inconsistent, and statistically meaningless: reviewing 2% of conversations tells you almost nothing about the other 98%.

Solidroad automates this by applying AI-powered quality assurance to 100% of customer interactions, across voice, chat, and email. The platform scores every conversation against the company’s quality criteria, identifies patterns in agent performance, flags coaching opportunities, and generates the kind of comprehensive view that manual review cannot provide at any practical scale.

The pitch is not that AI should replace customer support agents, a proposition that companies like Wonderful AI (which raised $150 million at a $2 billion valuation in March) are pursuing more aggressively. Solidroad’s position is that human agents are not going away, and the ones who remain need better training, better feedback, and better quality oversight than the current manual approach delivers.

The Intercom connection

Hughes and Finlay’s background at Intercom is not incidental. Intercom is one of the companies that defined the modern customer support software category, and its alumni network has produced a cluster of startups building tools for support teams. The founders’ experience gives them both domain credibility and a network of potential customers who understand the pain points Solidroad is addressing.

The seed round’s angel investors reflect that network: Intercom co-founder Ciaran Lee, Wayflyer co-founder Jack Pierce, Voxpro co-founder Dan Kiely, CPL founder Anne Heraty, and former PayPal executive Louise Phelan. The Series A lead, Hedosophia, is best known for its SPAC partnerships with companies like Cazoo and Paysafe, but has been increasingly active in enterprise AI investments.

Solidroad joined Y Combinator’s Winter 2025 cohort, which gave the company the Silicon Valley distribution channel that Irish startups often struggle to access from Dublin. The combination of YC credentials, First Round Capital backing, and Intercom lineage has given a 20-person company access to enterprise customers that would normally be out of reach at this stage.

What the numbers show

Solidroad says Crypto.com improved its go-live customer satisfaction score by three percentage points after deploying the platform, with CSAT now above 90%. At PartnerHero and Tech Mahindra, two of the world’s largest outsourced contact centres, onboarding times for new agents dropped by 50%. These are the kinds of metrics that contact centre operators, who run on tight margins and high turnover, respond to.

The company holds SOC 2 and ISO 27001 certifications, which are table stakes for selling into enterprise contact centres but remain a meaningful barrier for early-stage startups. Getting certified at 20 employees suggests the founders prioritised enterprise readiness from the beginning, a decision that trades speed for credibility with the large BPO operators who represent the biggest potential contracts.

Market context

AI customer support is one of the most active categories in enterprise software. AI chatbots now handle roughly 65% of customer service interactions, up from around 30% three years ago, and every major platform is building AI features into its support tools. But the QA layer, the part that ensures quality whether the agent is human or AI, has received less attention and less funding.

That is beginning to change. As AI handles more frontline interactions, the need to monitor, evaluate, and improve those interactions scales proportionally. A chatbot that resolves 65% of tickets is only as good as the quality assurance system that catches the cases it handles poorly. Solidroad’s bet is that automated QA becomes more valuable, not less, as AI takes over more of the customer-facing workload.

The competitive landscape includes both point solutions and platform players. Established companies like NICE, Verint, and Genesys offer QA modules within broader contact centre suites. Newer entrants like MaestroQA and Klaus (acquired by Zendesk) have built dedicated QA products. Solidroad’s differentiation is its focus on AI-native QA that covers 100% of interactions by default rather than sampling, combined with training and coaching tools that close the loop between quality measurement and agent improvement.

The Dublin angle

Solidroad operates from both San Francisco and Dublin, with the company maintaining a five-day in-person presence at both locations. Dublin has a deep concentration of customer support operations, with major tech companies and BPOs running European support centres from the city. For a company selling into the contact centre industry, having engineering talent in Dublin and sales presence in San Francisco is a sensible split that plays to both ecosystems’ strengths.

At $25 million, the round is modest compared to the headline numbers dominating AI funding. Q1 2026 saw $300 billion in global venture investment, with AI accounting for roughly $242 billion of the total. But not every AI company needs to raise at a billion-dollar valuation to build a viable business. Contact centre QA is a defined market with clear buyers, measurable ROI, and the kind of recurring revenue dynamics that enterprise investors understand. Solidroad’s task is to capture enough of that market before the platform vendors build comparable features into the tools their customers already use.



Source link

Leave a Reply

Subscribe to Our Newsletter

Get our latest articles delivered straight to your inbox. No spam, we promise.

Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



Source link