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Adveritas Posts $4.9M Revenue, Narrows Loss by 40% in HY Dec 2025

Technology By Sophie Babbage 3 min read

Adveritas Limited reported a robust 54% increase in half-year revenue to $4.91 million, alongside a significant narrowing of losses, driven by its TrafficGuard SaaS platform and strategic AI integration. The company is expanding its footprint in the US and deepening agency partnerships to fuel future growth.

  • 54% half-year revenue growth to $4.91 million
  • 82% increase in annual recurring revenue to approximately $14.2 million
  • Loss after tax reduced to $2.65 million from $4.42 million
  • Strategic AI integration to enhance fraud detection capabilities
  • Expansion into US market and growth in media agency partnerships

Strong Financial Momentum

Adveritas Limited (ASX: AV1) has delivered a compelling half-year performance for the period ending 31 December 2025, posting a 54% increase in revenue to $4.91 million. This growth was underpinned by the continued adoption of its TrafficGuard software-as-a-service (SaaS) platform, which provides comprehensive fraud prevention and measurement solutions for digital advertising.

Annual recurring revenue (ARR), a key metric for SaaS companies, surged 82% to approximately $14.2 million, reflecting strong customer retention and new contract wins. The company’s loss after tax narrowed significantly to $2.65 million, down from $4.42 million in the prior corresponding period, helped by the settlement of convertible loan notes earlier in the year.

Strategic Focus on AI and Market Expansion

Adveritas is actively leveraging artificial intelligence and machine learning to enhance its TrafficGuard platform. The company emphasises continuous model advancement, using proprietary data accumulated over a decade to stay ahead of evolving digital ad fraud tactics. This data advantage is difficult for competitors to replicate and positions Adveritas uniquely as AI reshapes the digital advertising landscape.

In addition to technology development, Adveritas is expanding its global footprint, particularly in the United States. The presence of sales personnel in the US has generated a strong pipeline of trial clients across e-commerce, retail, and luxury sectors, indicating diversified growth opportunities beyond its traditional sports betting and online gaming verticals.

Growing Agency Partnerships and Product Innovation

The company is also focusing on its media agency channel, a core pillar of its go-to-market strategy. By pursuing white-label and co-branded partnerships, Adveritas aims to embed its technology within agency offerings, enabling scalable distribution and deeper market penetration. Early traction with its Meta product, including advanced API access approval, has led to accelerated trial conversions and enhanced product scalability.

Further product expansion includes strengthening its affiliate product line, initially targeting sports betting but now gaining ground in retail, banking, and travel verticals. Investments in data science capabilities are accelerating the development of advanced AI systems, improving detection accuracy and operational efficiency.

Financial Position and Outlook

Despite the loss, Adveritas maintains a solid cash position of $6.85 million and a positive net current asset position, supported by deferred revenue from prepaid contracts. The directors acknowledge inherent uncertainties in revenue growth and capital raising but remain confident in the company’s ability to continue as a going concern.

Looking ahead, Adveritas plans to launch a new self-serve portal to provide clients with real-time advertising performance insights and invalid traffic metrics across major platforms. The company will also continue to invest in product management to swiftly capitalise on market opportunities.

Bottom Line?

Adveritas’ blend of strong revenue growth, AI-driven innovation, and strategic expansion sets the stage for a pivotal next phase in its digital advertising fraud prevention journey.

Questions in the middle?

  • How will Adveritas sustain its competitive edge as AI technologies evolve rapidly?
  • What is the timeline and expected impact of the new self-serve portal on customer acquisition?
  • How effectively can the company convert its US trial pipeline into long-term contracts?