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Case Study

Quantarium AI Real Estate Valuation Case Study | SproutVest

At a glance

Client: Quantarium
Industry: Real Estate / AI / Enterprise SaaS
Engagement: 24 months (2017–2019)
Services: Chief Product Officer, Product Strategy, Team Leadership, Go-to-Market Execution
Headline result: $12M+ in AWS Marketplace sales and the top-ranked AI valuation platform covering 105M U.S. households

Context

Quantarium set out to build the most accurate AI-powered property valuation platform in the United States: an automated valuation model (AVM) covering essentially every residential property in the country, serving lenders, insurers, and government agencies at enterprise scale. The technology was strong, but the company was still an R&D-stage AI business without a commercial engine. SproutVest founder Erick Watson joined as Chief Product Officer, owning product strategy, team leadership, and go-to-market execution.

The challenge

Turning research-grade machine learning into an enterprise product meant solving four problems at once. Accurate valuations across 105 million households required massive data ingestion, normalization, and model training across wildly different real estate markets. The company needed a B2B distribution channel that could reach regulated enterprise buyers without building a large direct sales force. AVMs faced entrenched skepticism from traditional appraisal stakeholders, so the product had to prove its accuracy, transparency, and compliance. And an 8-person cross-functional team with a $10M P&L needed disciplined leadership to balance R&D investment against commercial milestones.

What we did

SproutVest defined a focused product strategy around AI-powered residential valuations, prioritizing what enterprise buyers actually evaluate: accuracy metrics, coverage breadth, API reliability, and compliance documentation. The distribution answer was the AWS Marketplace. By making Quantarium’s API procurable through buyers’ existing AWS accounts, we cut sales cycle friction dramatically and proved a self-service enterprise channel without a large sales team.

Behind the channel, we guided the transition from research-grade ML models to production APIs with SLA guarantees, monitoring, and the documentation that lending, insurance, and government buyers require. Throughout, we managed the 8-person team across data science, engineering, and business development against the $10M budget, and in the final phase led the strategic positioning, aligning product metrics, customer traction, and technology differentiation, that carried the company through its corporate spin-out and acquisition.

Results

In 24 months Quantarium went from AI research company to market-leading enterprise platform with an exit:

The work above starts with an honest read of the leadership behind it

The Trellis Leadership Diagnostic applies that discipline to how you run your company: 24 scored items across six dimensions, a written report with one 90-day priority, and a 90-minute debrief with Erick Watson. $2,500, fully creditable against coaching.

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