Resolve AI (RZLV) Q2 2026: Revenue Surges Nearly 21x as Infrastructure Licensing Gains Traction
Resolve AI delivered a transformational first half with revenue soaring nearly 21 times year-over-year, driven by expanded enterprise adoption and strategic partnerships with global technology leaders. The recent infrastructure licensing deal with Google validates a scalable long-term growth avenue beyond core commerce applications. Execution against a broadening product suite and partner-led distribution underpins confidence in achieving $360 million full-year revenue and $500 million ARR exit targets.
Summary
- Accelerated Enterprise Adoption: Customer base expanded to over 1,640, enhancing platform scale and recurring revenue potential.
- Strategic Partner Ecosystem: Alliances with Microsoft, Google, TCS, and Tech Mahindra provide global reach and deployment capacity.
- Emerging Infrastructure Licensing: Google’s adoption of proprietary data infrastructure signals a material new revenue stream.
Business Overview
Resolve AI develops agentic commerce technology that integrates AI-driven customer engagement, transaction execution, loyalty, and payments capabilities. The company generates revenue primarily through enterprise software deployments, professional services, and recently expanded infrastructure licensing. Its business model leverages strategic partnerships with global cloud and IT services providers to scale distribution and implementation across diverse industries.
Performance Analysis
Resolve AI’s first half 2026 revenue reached $130.8 million, a remarkable 1970% increase from $6.3 million in the prior year period, reflecting rapid adoption of its agentic commerce platform and associated services. Gross profit rose to $63.9 million with a gross margin of 48.9%, impacted by the integration of a loyalty business and professional services deployment costs. The latter supports customer onboarding and data readiness, essential for scaling AI-driven commerce solutions.
Operating loss widened to $128.1 million, primarily due to $41.5 million in share-based compensation and $20.4 million in depreciation and amortization, alongside continued investments in sales, R&D, and infrastructure capacity. Adjusted EBITDA loss narrowed to $32.6 million, signaling improving underlying operating economics as the company scales. Cash used in operations and investing totaled $244.4 million, offset by $232.5 million raised in equity capital, underpinning growth initiatives and strategic acquisitions.
- Revenue Scale-Up: Nearly tripled H1 2025 full-year revenue in six months, showcasing rapid market penetration.
- Margin Dynamics: Current gross margin compressed by loyalty and professional services mix but core software margin exceeds 90%.
- Capital Deployment: Raised $250 million gross equity capital to fund technology development and global expansion.
Overall, the financial performance reflects a business transitioning from early-stage growth to enterprise-scale operations with a clear path to improved margins and profitability.
Executive Commentary
"H1 2026 was a breakout period for Resolve AI. We generated nearly three times the revenue that we reported for the whole of 2025 and expanded our customer base to over 1,640 enterprises. Our partnerships with Microsoft, Google, Tata Consultancy Services, and Tech Mahindra provide global routes to market and enterprise deployment capabilities that are difficult to replicate independently."
Dan Wagner, Founder, Chairman and Chief Executive Officer
"Our gross margin for the first half was 48.9%, reflecting the integration of our loyalty business and professional services deployment costs. Our core software margin is over 90%, and we expect continued margin improvement as our higher-margin agentic commerce platform adoption grows. We have a strong cash position with nearly $100 million including restricted cash, supporting our growth without immediate capital needs."
Arthur, Chief Financial Officer
Strategic Positioning
1. Expanding Agentic Commerce Product Suite
Resolve AI has developed a comprehensive platform encompassing Brain Commerce for intelligent product discovery, Brain Checkout for transaction execution, Brain Power large language models for commerce intelligence, and Traceware for auditable AI workflows. This integrated suite addresses the full commerce journey, enhancing customer engagement and operational efficiency for enterprise clients.
2. Leveraging Global Partner Ecosystem
Strategic alliances with Microsoft, Google, Tata Consultancy Services (TCS), and Tech Mahindra provide Resolve with unparalleled access to global enterprise customers and cloud marketplaces. These partners contribute sales infrastructure, implementation expertise, and credibility, accelerating customer acquisition and deployment while reducing Resolve’s direct cost and geographic footprint.
3. Infrastructure Licensing as a Growth Lever
Google’s selection of Resolve’s proprietary distributed database technology for deployment within Google Cloud marks a significant validation of the company’s infrastructure strategy. This infrastructure supports large-scale, verifiable data pipelines essential for AI agents’ reliability and scalability, opening new licensing opportunities across cloud computing and enterprise markets.
4. Scaling Professional Services to Enable Adoption
Resolve’s professional services team, numbering approximately 700, primarily based in India, supports customer data preparation and product catalog enrichment, crucial for effective deployment of AI-powered commerce solutions. Outsourcing these services through partners like TCS and Tech Mahindra enhances gross margins and accelerates implementation timelines.
5. Building Recurring Revenue and Operating Leverage
With over 1,640 enterprise customers and a growing partner-led distribution channel, Resolve is focused on converting scale into recurring revenue. The company targets at least $500 million in annual recurring revenue (ARR) by year-end 2026, emphasizing margin expansion and operational efficiency to transition towards profitability.
Key Considerations
Resolve AI’s first half performance highlights a company rapidly scaling both its customer base and technology platform. The integration of loyalty and professional services impacts near-term margins but serves as a catalyst for upselling higher-margin software solutions. Strategic partnerships are central to scaling distribution and deployment globally, mitigating the need for extensive direct sales expansion.
Key Considerations:
- Partner-Led Growth: Partnerships with hyperscalers and system integrators provide access to large enterprise accounts and reduce sales friction.
- Margin Expansion Path: Core agentic commerce platform gross margins exceed 90%, with expected improvements as professional services scale through partners.
- Infrastructure Opportunity: Google partnership validates a new licensing model for data infrastructure, potentially unlocking multi-billion dollar revenue streams.
- Capital Efficiency: Strong cash position and capital raise provide runway for growth and strategic acquisitions without near-term financing pressure.
- Seasonal Revenue Weighting: Second half of the year expected to contribute approximately 75% more revenue than first half, driven by retail seasonality and deployment ramp.
Risks
Resolve AI faces execution risks related to scaling enterprise deployments and converting a growing customer base into sustainable recurring revenue. The integration of loyalty and professional services businesses pressures margins temporarily. Competitive dynamics in AI-driven commerce remain nascent but could intensify as larger incumbents develop agentic capabilities. Additionally, monetization and scaling of infrastructure licensing beyond Google remain early-stage and subject to market adoption uncertainties.
Forward Outlook
For the second half of 2026, Resolve AI reaffirms guidance of approximately $360 million full-year revenue, implying a 75% increase in H2 revenue over H1. Management expects continued rollout of customer deployments, increased partner-led distribution, and seasonal retail strength to drive this growth. The company targets exiting 2026 with at least $500 million in ARR, emphasizing margin expansion and operational leverage.
Takeaways
Resolve AI is transitioning from a high-growth startup to an enterprise-scale AI commerce platform provider with a differentiated infrastructure licensing opportunity. The company’s strategic partnerships and broad product suite underpin rapid customer acquisition and deployment, while professional services investments enable data readiness critical for AI agentic commerce. The Google infrastructure deal signals a new, potentially lucrative revenue stream beyond traditional software licensing.
- Execution Drives Scale: Nearly 21-fold revenue growth and a 70% increase in enterprise customers demonstrate strong market traction and operational capability.
- Strategic Partnerships Amplify Reach: Alliances with global cloud and IT services leaders accelerate sales and implementation, reducing Resolve’s operational burden.
- Infrastructure Licensing Upside: Google’s adoption validates the company’s proprietary data platform, positioning Resolve to capitalize on growing AI infrastructure spend.
Conclusion
Resolve AI’s first half 2026 results reflect a company executing on ambitious growth objectives through technology innovation, strategic partnerships, and infrastructure licensing. While operating losses remain elevated due to investments and integration costs, the expanding customer base and partner ecosystem provide a strong foundation for profitable scale. Investors should monitor progress in infrastructure monetization and margin expansion as key future value drivers.
Industry Read-Through
Resolve AI’s breakthrough with Google underscores the growing importance of specialized AI infrastructure to support agentic commerce and broader AI applications. The partnership model with hyperscalers and system integrators illustrates an effective route to scale enterprise AI solutions globally. Other AI commerce and infrastructure providers should note the value of integrated platforms combined with robust data and transaction rails, as well as the accelerating shift toward partner-led distribution to overcome sales and deployment complexity in large enterprises.