GR
Grover Righter
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Work Experience
N/A
Present
LANDING AI
N/A
Present
N/A
Present
Company Details
11-50 Employees
Plan9 delivers on AI enhanced data flows and solutions for Sales-Ops, Revenue-Ops, Marketing-Ops and Product-Ops professionals (We call this a variant of X-Ops), creating fast flowing, enhanced data to core platforms. Unlike last-generation ETL solutions, Plan9 AI is built from the ground up to use AI to perform advanced data transformations and move data between your business platforms within minutes. Problem: - Sales-Ops, Rev-Ops, Marketing-Ops and Product-Ops professionals need data alignment and visibility (better reporting) - All companies now need to connect data between multiple, non-aligned systems - They need ‘off the shelf’ solutions, but they need their own business rules - The current generation of ETL is strong on E-extract and strong on L-load, but have a weak soltuion for T-transform. The current solutions simply lack power to Transform and aggregate complex data Solution: - Plan9 AI provides software robots, driven by machine learning and related AI to enhance data flows, provide data augmentation and aggregate fine grained, low level data into higher level, actional results - The software robots are delivered as affordable SaaS offerings that require zero customer infrastructure - Robots are self-learning and exhand their coverage of customer data using AI and ML dynamic agents Until now, artificial intelligence and machine learning were available primarily to large enterprises that could invest many millions of dollars. The benefits are real, but the cost has been too high. The new family of Software Robots from Plan9™ are changing the AI/ML landscape. Now Sales-Ops, Rev-Ops, Marketing-Ops and Prodict-Ops professionals at small companies, medium enterprises and startups can benefit from advances in AI tools for data. Our software robots can capture data from multiple sources and databases, including Segment CDP data. Our AI/ML driven robots can transform data using complex, self-learning rule sets.
Year Founded
2020
Social Media
Linkedin
Industry
Technology, Information and Internet
HQ Location
954 Lexington Ave Suite 2129 New York, New York 10021, US
Keywords
Machine LearningArtificial IntelligenceETLSales OpsMarketing OpsProduct Ops
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