Solidroad Secures $25M Series A to Automate Quality Assurance for Customer Support with AI

3 Sources

Share

Dublin and San Francisco-based Solidroad has raised $25 million in Series A funding led by Hedosophia to automate quality assurance for customer support teams. The AI-powered platform reviews 100% of customer interactions versus the industry standard of 1-3%, serving clients like Ryanair, Crypto.com, and Oura while delivering up to 90% reduction in manual review time.

Solidroad Raises $25M Series A Funding to Transform Customer Support Quality Assurance

Solidroad, a Dublin and San Francisco-based startup, has secured $25 million in Series A funding led by UK investment firm Hedosophia to scale its AI-powered platform that automates quality assurance for customer support teams

1

2

. The round follows a $6.5 million seed led by First Round Capital with participation from Y Combinator, bringing the company's total funding to $31.5 million

1

. Founded in 2023 by Mark Hughes and Patrick Finlay, both former Intercom employees, Solidroad currently employs 20 staff and counts Ryanair, Crypto.com, and Oura among its growing customer base

1

3

.

Source: Silicon Republic

Source: Silicon Republic

AI Tackles the 1-3% Problem in Enterprise Customer Service

Most customer support operations review between 1% and 3% of their interactions for quality assurance, a process that is slow, inconsistent, and statistically meaningless

1

. Traditional manual approaches involve team leads listening to a handful of calls or reading chat transcripts and scoring them against a rubric, providing almost no insight into the remaining 98% of customer support interactions

1

. Solidroad's platform addresses this gap by applying AI to evaluate 100% of customer interactions across voice, chat, and email, scoring every conversation against company-defined quality criteria

1

2

. The system identifies patterns in agent performance, flags coaching opportunities, and generates comprehensive visibility that manual review cannot provide at any practical scale

1

.

Source: SiliconANGLE

Source: SiliconANGLE

How the Platform Supports Human Agents Rather Than Replacing Them

Unlike AI customer support companies pursuing full automation, Solidroad positions itself as a tool to enhance human agents through better training, feedback, and quality oversight

1

. Mark Hughes emphasized that traditional people-based quality assurance teams are inherently subjective, with different reviewers interpreting standards differently

2

. The platform uses AI that adheres to a customized rubric, evaluating everything at the same standard with consistent guidelines

2

. Critically, the system doesn't apply a generic rubric across all companies—each organization defines its own quality standards, including tone, policy compliance, and interaction standards that fit their brand

2

. One customer is running more than 800,000 conversations monthly through Solidroad, with each scored against company-defined standards—a level of uniformity impossible with manual reviews

2

.

Training Simulations Close the Loop Between Evaluation and Improvement

A key differentiator in Solidroad's technology is its ability to translate evaluation data directly into training interventions

2

. Most tools stop at the scorecard, putting the burden on companies to figure out what to do about identified issues

2

. Solidroad integrates evaluation and training into a single workflow, automatically generating realistic training simulations tied to specific skill gaps when the platform identifies a problem

2

3

. Instead of simply flagging that an agent needs work on billing disputes, the agent receives a targeted exercise mirroring the exact type of conversation they struggled with, enabling them to practice before engaging with customers

2

. This approach delivers personalized coaching at scale, addressing the rising complexity of escalated conversations that reach human agents as AI handles routine requests

3

.

Early Results Show Measurable Impact Across Contact Centres

Customers have reported significant improvements after deploying the platform. Crypto.com improved its go-live CSAT score by three percentage points, with customer satisfaction now above 90%

1

. At PartnerHero and Tech Mahindra, two of the world's largest outsourced contact centres, onboarding times for new agents dropped by 50%

1

. Lead management vendor Podium started resolving customer issues 33% faster after going through Solidroad's training simulations, with new hires reaching performance benchmarks in half the time

2

. Across all customers, Solidroad typically sees a 20% increase in quality assurance coverage and 90% reduction in manual review time

3

. These metrics matter to contact centres operating on tight margins and high turnover, where efficiency gains translate directly to cost savings

1

.

Enterprise Readiness and Market Positioning

The company holds SOC 2 and ISO 27001 certifications, which are table stakes for selling into enterprise contact centres but represent a meaningful barrier for early-stage startups

1

. Achieving these certifications at 20 employees suggests the founders prioritized enterprise readiness from the beginning, trading speed for credibility with large BPO operators who represent the biggest potential contracts

1

. The founders' background at Intercom, one of the companies that defined the modern customer support software category, provides both domain credibility and a network of potential customers who understand the pain points Solidroad addresses

1

. 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

1

3

.

Expansion Plans as Demand Accelerates

Solidroad plans to use the Series A funding to expand its product capabilities and workforce across its Dublin and San Francisco offices

2

3

. Hiring has already begun and will continue over the coming months, according to Mark Hughes

3

. In 2025, the then two-year-old startup had around 50 customers, a number that has since grown significantly

3

. As enterprises seek better visibility and control over both human and AI-led customer interactions, expanding the team is critical to meeting that need and raising the quality bar across the industry, Hughes noted

3

. The platform creates a single, consistent view of quality across human and AI interactions, allowing teams to identify issues early and close gaps before they reach customers

2

. This unified approach matters as many organizations currently monitor human agents with one process and AI agents with another, creating gaps in visibility across the system

2

.

Today's Top Stories

TheOutpost.ai

Don’t drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Spend less time searching for the latest in AI and get straight to action.

Instagram logo
LinkedIn logo
Youtube logo
© 2026 TheOutpost.AI All rights reserved