Sprig blog · Jul 2026
Describes practical researcher use cases for the Sprig MCP integration.
Public company, workplace, funding, and market signals
Sprig is an AI-native enterprise research platform for product, UX, and insights teams. It helps organizations design, field, and synthesize surveys and research faster, with AI agents for study design, fielding, and analysis.
Primary product
Enterprise research / survey platform powered by AI agents
Founded
2019
Headquarters
71 Stevenson St, San Francisco, California 94105, United States
Team size
50-60
Work style
Hybrid
Industry
Software Development
Sub-industry
Enterprise research and survey software
Offices
2 jobs at Sprig
Business model
Stage
Series B
Total raised
$88M
Latest round
Series B · Aug 2022
Latest amount
$30M
Leadership
Founder & CEO
Head of AI, Co-founder
Head of Engineering
Head of Revenue
Head of Research Insights
Head of Finance
Director Enterprise Marketing
Director of Sales & Customer Engineering
AI Product Lead
The company emphasizes high ownership, quality, speed, simplicity, and teamwork. Public culture language includes values such as Never Settle, Sprig Speed, End with Simplicity, and Win as a team.
Work style
Hybrid
Compensation
Public signals point to a competitive, top-tier compensation package with salary and equity, but no public salary bands were found.
Benefits
Pricing
Enterprise subscription SaaS
Differentiators
Technology
Customers
Competitors
Estimated revenue
$10M-$20M
Estimated monthly visits
194.6K
Traffic estimate as of Jun 2026
Sprig blog · Jul 2026
Describes practical researcher use cases for the Sprig MCP integration.
Sprig blog · Jul 2026
Addresses security and data-handling questions around Sprig MCP.
Sprig blog · Jun 2026
Announces Sprig MCP, a Model Context Protocol feature that connects survey datasets to AI tools.
Sprig blog · Apr 2026
Introduces Sprig Research Agents and positions the platform around AI-assisted research workflows.
ScyllaDB · Mar 2026
Details Sprig's migration from Postgres, ClickHouse, and Redis to ScyllaDB Cloud, reporting 4-8x lower latency and a simpler infrastructure.