Infer

Infer, founded in 2012, is a predictive analytics company that helps businesses identify and prioritize sales leads.

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Infer provides predictive analytics software that helps businesses identify and prioritize sales leads.

Infer, founded in 2012, is a predictive analytics company that helps businesses identify and prioritize sales leads. The company was established by a team of data scientists and engineers with backgrounds in machine learning and big data. Infer's core product, Infer Predict, uses machine learning algorithms to analyze vast amounts of data and predict which leads are most likely to convert into customers.

This allows sales teams to focus their efforts on high-potential opportunities, improving efficiency and closing rates. Infer has raised significant funding over the years, including a $10 million Series B round led by Redpoint Ventures in 2014. The company has also attracted notable clients such as Tableau, New Relic, and Zendesk, which have integrated Infer's predictive analytics into their sales processes.

Infer's market position is strong, particularly in the SaaS and tech sectors, where its predictive capabilities are highly valued. Financially, Infer has shown steady growth, with revenues increasing year-over-year, although specific figures are not publicly disclosed. The company has also expanded its product offerings to include Infer Insights, which provides deeper analytics and reporting capabilities.

Recently, Infer has been focusing on enhancing its AI-driven predictive models to stay competitive in the rapidly evolving tech landscape. The company's ability to adapt and innovate continues to be a key driver of its success.

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Who buys this

  • SaaS companies
  • Tech startups
  • Enterprise sales teams
  • Marketing departments
  • E-commerce businesses

Publicly disclosed clients

  • Tableau
  • New Relic
  • Zendesk

Strengths and what to watch

Strengths

  • Strong machine learning algorithms
  • Proven track record with notable clients
  • Continuous product innovation

Watch for

  • Increasing competition in predictive analytics
  • Dependence on SaaS and tech sectors
  • Potential challenges in scaling AI models

Key Information

Founded
2012

Frequently Asked Questions

What does Infer do?

Infer provides predictive analytics software that helps businesses identify and prioritize sales leads. Their core product, Infer Predict, uses machine learning to analyze data and predict which leads are most likely to convert, enabling sales teams to focus on high-potential opportunities. Founded in 2012, they serve SaaS and tech companies primarily.

How does Infer's predictive lead scoring work?

Infer's machine learning algorithms analyze historical and real-time data to score leads based on conversion likelihood. Factors include firmographics, engagement patterns, and past deal outcomes. The system continuously learns from new data, helping sales teams prioritize outreach to the most promising opportunities automatically.

Which companies use Infer's predictive analytics?

Notable Infer clients include Tableau, New Relic, and Zendesk. These tech companies use Infer to enhance their sales processes. The platform is particularly popular among SaaS businesses and enterprise sales teams looking to improve lead conversion rates through data-driven prioritization.

What makes Infer different from other lead scoring tools?

Infer specializes in AI-driven predictive models refined since 2012, with strong machine learning capabilities. Their focus on continuous innovation and proven results with major tech clients sets them apart. The platform offers both predictive scoring and deeper analytics through Infer Insights for comprehensive sales intelligence.

Is Infer good for SaaS companies?

Yes, Infer is particularly effective for SaaS businesses, as evidenced by clients like New Relic and Zendesk. Their predictive models excel with subscription-based sales cycles and recurring revenue models. The platform helps identify high-value leads likely to convert and retain, crucial for SaaS growth metrics.

What are Infer's future challenges?

Infer faces increasing competition in predictive analytics and must continually advance its AI models. While strong in tech/SaaS, diversifying beyond these sectors presents growth opportunities. Scaling machine learning capabilities while maintaining accuracy and adapting to evolving sales methodologies remain key challenges for long-term success.

Sources

  1. www.reuters.com — Nvidia's profit triples as Jensen Huang predicts further revenue growth
  2. www.sec.gov — SEC filing for financial data
  3. techcrunch.com — TechCrunch article on tech layoffs and startups
  4. edge.prnewswire.com — Cognizant report on AI and the future of work