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InfiniteWatch.ai secured $4 million in pre-seed funding, led by Base10 Partners, with participation from Sequoia and A16Z scouts, Kfund, Kibo, LifeX, and four unnamed unicorn founders. This marks the company’s first public funding round since its founding in October 2025. The platform provides AI-native observability for customer interactions, monitoring and deploying AI agents across web and voice channels to predict issues, ensure compliance, and optimize performance.
InfiniteWatch.ai, based in New York, emerged from stealth in December 2025. It positions itself as an observability layer for the “agentic internet,” where AI agents handle customer negotiations, purchases, and support autonomously. Core products include the Session Replay Agent for web interaction analysis and the Voice Agent for testing and monitoring voice AI systems. Setup is quick, with web monitoring requiring one line of code and voice integrations (e.g., Twilio, AWS Connect) taking under an hour. The platform emphasizes data privacy through PII masking, encryption, and compliance with SOC 2 and GDPR.
The $4 million pre-seed round supports development of AI-driven customer interaction intelligence. Base10 Partners, known for investing in automation-focused startups solving real-world problems, led the round. Other backers bring expertise in early-stage tech, with scouts from prominent VCs like Sequoia and A16Z signaling confidence in the team’s vision. While specific use of funds wasn’t detailed, it likely fuels product expansion and team growth.
This funding could accelerate InfiniteWatch’s role in addressing visibility gaps in AI agents, potentially improving enterprise adoption of AI in customer service. Early results, like a reported increase in conversion rates for client TheGuarantors, highlight practical benefits. However, the space is competitive, and success may depend on differentiating through predictive analytics amid debates over AI reliability.
InfiniteWatch.ai’s $4 million pre-seed funding round represents a significant entry point for the startup into the burgeoning field of AI observability, particularly tailored to customer interactions in an increasingly agent-driven digital economy. Founded just two months earlier in October 2025 by Pablo Molina and Iñaki Berenguer—veterans of the insurtech world—the company draws on their prior success at CoverWallet to tackle transparency challenges in AI systems. CoverWallet, a digital insurance platform for small and medium-sized businesses, achieved over $1 billion in premium revenue and was acquired by global professional services firm Aon in early 2020 following a definitive agreement in late 2019. This acquisition underscored the value of scalable, tech-driven solutions in traditional sectors, a playbook Molina and Berenguer appear to be adapting for AI observability.
At its core, InfiniteWatch positions itself as the essential observability platform for the “agentic internet,” a term describing a future where AI agents autonomously manage trillions of interactions in areas like sales, support, and operations. The platform’s AI engine learns from thousands of daily interactions, providing real-time monitoring, predictive issue detection, and optimization recommendations. Its flagship products include the Session Replay Agent, which analyzes web sessions to identify user experience issues impacting conversions, and the Voice Agent, which uses synthetic personas to simulate diverse scenarios (e.g., accents, latencies, moods) for testing and ongoing monitoring. Unlike traditional tools that offer retrospective data, InfiniteWatch emphasizes proactive insights, forecasting problems and suggesting fixes. It integrates seamlessly with tools like Salesforce, HubSpot, and Jira, and supports compliance through features like client-side PII masking and AES-256 encryption. Currently serving enterprises in financial services, e-commerce, and healthcare, the company processes over 2 million customer interactions monthly, demonstrating early traction.
The funding round was led by Base10 Partners, an early-stage venture capital firm focused on automation in traditional sectors, with a mission-driven approach that includes donating 50% of profits from major investments to support underrepresented communities. As the world’s largest Black-led VC fund, Base10 emphasizes purpose-aligned founders solving problems for the broader population, aligning with InfiniteWatch’s goal of making AI agents trustworthy at scale. Participating investors include scouts from Sequoia and A16Z—firms renowned for backing transformative tech companies—alongside European VCs Kfund and Kibo, Danish fund LifeX, and four anonymous unicorn founders. This diverse syndicate suggests strong belief in the team’s execution capabilities and the market opportunity.
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Looking ahead, InfiniteWatch plans expansions in 2026, including Messaging Agent, Email Agent, and AI Co-Browsing features, all interconnected for a unified view of customer journeys. As AI browsing agents from players like OpenAI and Anthropic gain traction, the platform aims to monitor agent-website interactions, extending its utility beyond human users. Founders’ quotes emphasize this vision: Molina highlights the need for visibility in AI-powered operations, while Berenguer notes the platform’s ability to transition insights into live AI deployments efficiently. Customer testimonials, such as from TheGuarantors’ VP Aitor Gumiel, report rapid visibility gains and conversion improvements, underscoring real-world impact.
This investment arrives amid explosive growth in related markets. The AI for customer service market, valued at approximately $13 billion in 2024, is projected to reach $84 billion by 2033, growing at a CAGR of around 26%. Similarly, the broader AI agents market is expected to expand from $3.7 billion in 2023 to $139 billion by 2033, with a CAGR of 44%. AI observability, a niche addressing monitoring needs for these systems, shows even steeper trajectories: estimates range from $1.4 billion in 2023 to $10.7 billion by 2033 (CAGR 22.5%), with some forecasts predicting up to $12.5 billion by 2034 for AI observability solutions. Data observability, a related segment, is set to grow from $2.1 billion in 2023 to $4.7 billion by 2030. These figures reflect increasing enterprise reliance on AI for customer-facing roles, where observability mitigates risks like compliance failures or revenue leaks.
However, InfiniteWatch enters a competitive landscape. Key players in AI agent monitoring and observability include:
| Platform | Key Features | Focus Area | Notable Differentiation |
| Maxim AI | Simulation, evaluation, observability for LLM-powered apps and agents | End-to-end AI workflows | Adaptive testing for agentic systems |
| Arize | Monitoring AI outputs, bias detection, performance tracking | LLM and agent observability | Real-time drift detection |
| LangSmith (by LangChain) | Tracing, debugging, prompt behavior monitoring | AI agent development | Integration with LangChain ecosystem |
| Braintrust | Evaluation frameworks, data-driven insights | AI model and agent testing | Collaborative debugging tools |
| LangFuse | Open-source tracing and metrics | Cost-effective agent monitoring | Customizable for production environments |
| Helicone | API monitoring, cost optimization | LLM-specific observability | Focus on usage analytics |
| Comet | Experiment tracking, model monitoring | ML/AI workflows | Visualization of agent performance |
| Fiddler | Explainability, fairness monitoring | Enterprise AI governance | Compliance-focused features |
| Monte Carlo | Data and AI output monitoring | Agent observability with data lineage | Handles large-scale LLM feeds |
InfiniteWatch differentiates through its customer interaction specificity, combining web/voice monitoring with deployment capabilities, but it must navigate challenges like integrating with evolving AI frameworks (e.g., LangChain, CrewAI). Broader market dynamics, including debates over AI ethics and scalability, add complexity—research suggests observability tools enhance trust, yet adoption lags in sensitive sectors. Overall, this funding positions InfiniteWatch to capitalize on market momentum, potentially driving innovation in AI reliability while balancing growth with emerging regulatory pressures.
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