Sprig Tech Stack

AI-powered enterprise survey platform replacing legacy research tools

Software Development San Francisco, California 51–200 employees Founded 2019 Privately Held

Sprig is an enterprise survey platform that embeds AI agents across the research workflow—from survey design through insights synthesis. The stack reveals a data-intensive architecture (Kafka, ClickHouse, Redis, PostgreSQL, ScyllaDB) paired with modern frontend tooling (React, React Native, TypeScript), and the company is explicitly replacing Qualtrics, Medallia, and SurveyMonkey. Active hiring skews heavily toward engineering (7 of 12 roles, mostly senior-level), with distributed data pipelines and AI inference operationalization dominating the project backlog—indicating they're building out infrastructure to handle the computational load of real-time agent-driven analysis at scale.

Tech Stack 28 technologies

Core StackReact JavaScript Gong Salesforce React Native Flutter AWS Redis PostgreSQL ScyllaDB ClickHouse Kafka gRPC Figma TypeScript Node.js Qualtrics Medallia SurveyMonkey Outreach LinkedIn Sales Navigator Android iOS Android SDK iOS SDK WebSocket Notion Coinbase

ReplacingQualtrics Medallia SurveyMonkey

What Sprig Is Building

◆Challenges

Manual setup fragmented workflows
Insights arrive too late
Scaling high-throughput data pipelines
Operationalizing ai inference
Integration and configuration challenges
Scaling platform adoption
Technical onboarding complexity
Research lag behind product speed
Scaling sdks to billions of users
Maintaining minimal footprint

▲Active Projects

Inference workflows
Core backend systems for ai insights
Dashboard experience for study management
React dashboard
Technical onboarding and implementation support
Technical demos and solution consultations
Distributed data pipelines
Backend apis for ai flows
Scalable data pipelines for ai inference
Sdk development

Hiring Activity

Accelerating10 roles · 8 in 30d

Department

Engineering

Support

Research

Sales

Seniority

Senior

Mid

Junior

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About Sprig

Sprig delivers an AI-powered survey and research platform for enterprise teams, positioning itself as a faster, agent-assisted alternative to traditional survey tools. The product lets research, product, and UX teams design studies, capture user feedback across the experience, and synthesize insights within a single system. Founded in 2019 and based in San Francisco with 51–200 employees, the company is privately held and U.S.-focused in hiring. The technical roadmap centers on operationalizing AI inference, scaling data pipelines to handle high-throughput ingest, and reducing friction in onboarding and integration for customers migrating from legacy platforms.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2019

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Sprig use?

React, TypeScript, Node.js, and React Native on the frontend; PostgreSQL, Redis, ScyllaDB, and ClickHouse for storage; Kafka and gRPC for data pipelines; AWS for infrastructure. Also integrates with Salesforce, Gong, and Outreach.

What companies use Sprig?

According to the company, Sprig is trusted by leading teams at Notion, Robinhood, DoorDash, Microsoft, Harvey, and Figma.

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How this profile is built

Sprig's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.