The Data Quality Crisis Facing Modern Enterprises

As data becomes the backbone of every strategic business decision, a critical challenge persists: data quality. Enterprises generate massive volumes of data every day, but ensuring that data is accurate, complete, and actionable remains a struggle. Poor data quality can lead to flawed insights, costly mistakes, and lost revenue opportunities.

Addressing this fundamental issue is Foresight, a New York-based startup dedicated to transforming data quality using AI. Foresight recently announced a $5.5 million seed funding round led by New Enterprise Associates (NEA) and KDX Ventures. This funding marks a major step forward for Foresight as it accelerates its mission to help businesses trust their data and make smarter decisions.

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A Mission to Build Trustworthy Data at Scale

Founded by Jason Miller and Adam Devine, Foresight was created with a clear vision: to turn enterprise data into a fully trusted asset. Many organizations spend millions on data infrastructure, analytics tools, and dashboards. Yet without clean, reliable data as a foundation, these investments often fall short and create false confidence in the business's most important metrics.

Foresight’s AI-powered data quality platform focuses on proactive observability and real-time monitoring rather than traditional reactive fixes. The system identifies anomalies and quality issues as they occur, allowing teams to address problems before they impact analytics, operational processes, or customer experiences.

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Intelligent, Adaptive Data Quality

Unlike legacy data quality solutions that depend on static rules and periodic checks, Foresight uses machine learning to continuously learn data patterns and predict issues before they escalate. This adaptive approach significantly reduces manual intervention and maintenance, freeing engineering and analytics teams to focus on more strategic initiatives.

The platform also offers intuitive dashboards and automated alerts that help both technical and business stakeholders stay aligned. By moving from reactive problem-solving to proactive prevention, companies can operate with greater confidence, reduce costs, and unlock faster growth.

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The Hidden Cost of Poor Data

What many founders overlook is that poor data quality isn’t just about broken dashboards - it silently erodes decision-making and future growth. Misleading or incomplete data can cause leadership to double down on failing initiatives, misallocate budgets, or misread customer behavior.

When expansion plans, product strategies, or investor updates are based on data riddled with hidden errors, companies risk costly missteps that can take years to correct. Foresight’s approach is designed to tackle these invisible risks head-on by making data quality an active, continuous process rather than a one-time cleanup project.

For startups and scaling companies, investing early in proactive data observability becomes a strategic differentiator. Rather than accumulating data debt that hampers growth later, companies can build a foundation of trust and accuracy from day one - enabling faster pivots, more confident launches, and stronger investor relationships.

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Early Adoption and Industry Validation

Foresight’s innovative approach is already gaining traction among data-driven companies in industries like finance, healthcare, and e-commerce. Early customers have reported dramatically faster identification and resolution of data issues, increased confidence in analytics, and measurable reductions in engineering effort devoted to manual data troubleshooting.

By providing deep visibility into data pipelines and catching anomalies in real time, Foresight helps teams focus on delivering insights and value instead of constantly putting out fires.

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Fueling Growth with New Funding

With $5.5 million in fresh seed funding, Foresight plans to accelerate its product roadmap, deepen AI capabilities, and expand its go-to-market initiatives. The new capital will also support hiring across engineering, customer success, and sales to meet growing demand.

Lead investor NEA emphasized Foresight’s forward-thinking focus on continuous data observability as a critical differentiator in today’s enterprise landscape. Rather than patching data problems after they become visible, Foresight empowers organizations to maintain data integrity proactively and continuously - a paradigm shift in modern data infrastructure.

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The Team Shaping Data’s Future

Founders Jason Miller and Adam Devine bring deep expertise in data, infrastructure, and enterprise growth strategies. Their vision is to make data reliability as foundational and frictionless as possible, empowering businesses to innovate rapidly without fear of hidden data pitfalls.

Their leadership positions Foresight as a pivotal player in the emerging category of AI-driven data observability and reliability.

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The Future of Trusted Data

As more companies rely on data to power automation, AI, and hyper-personalization, trust and accuracy are becoming non-negotiable. Leaders who prioritize data quality from the start position their organizations to scale confidently, make smarter decisions, and stay ahead of competitors.

Foresight’s $5.5 million seed round signals strong investor confidence in its mission to make real-time, intelligent data quality monitoring the new enterprise standard. By preventing silent data failures and enabling faster, bolder decision-making, Foresight is set to become an essential partner for data-driven enterprises worldwide.