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Easy button to use data for your daily operations
Easy button to use data for your daily operations. Power your business workflows with quality data. Logarithm Labs helps you turn manual data wrangling and ad-hoc scripts into repeatable pipelines for your operational workflows. Power your workflows with quality data. Our product and team of experts do the heavy lifting so that can focus on the business logic that drives your organization. To learn more, contact us at hello@logarithmlabs.com.
Logarithm Labs provides managed data engineering services that set up and run end-to-end data pipelines, delivering clean, usable data without requiring a dedicated in-house data team. They offer a fully managed infrastructure with onboarding and ongoing maintenance to enable data-driven workflows.
They design and operate end-to-end data pipelines and workflows, ingesting data from spreadsheets, internal databases, and SaaS apps, and delivering ready-to-use data for business decisions. The service includes a managed data infrastructure with UIs, scheduling, RBAC, and integrations, plus templates and support to define business logic in Python, SQL, or Shell scripts. Clients provide core business logic or use predefined templates, and Logarithm Labs handles onboarding, data wrangling, automation, and continuous operation to keep pipelines up and running within weeks.
Who it’s for: Organizations starting or scaling data-driven operations who lack a dedicated data engineering team and need managed data pipelines and workflows.
Hiring/traction hints not explicit; mentions free consultation, onboarding and rapid time-to-value (2 weeks to setup), customer testimonials imply traction.
Ex-Product Manager; Led solutions & GTM at Google Cloud for compute, storage, analytics, and vertical solutions, M&A and strategy at LSI CTO's office
I have ~20 years of experience in chip design, compute/data infrastructure, and CAD/automation working at Google, Xilinx, Samsung MIPS. At Logarithm Labs, we accelerate complex engineering development by making engineering data usable and actionable. We're starting with chip design.
AI agents for customer support.
Observability for Data Engineering Teams
