Seeq Corporation Tech Stack

Time-series analytics platform for industrial process manufacturing

Software Development Seattle, Washington 51–200 employees Founded 2013 Privately Held

Seeq builds analytics software for industrial process data—time-series streams, events, and signals from refineries, pharma plants, and energy facilities. The tech stack reveals a dual-layer product: a data-heavy backend (Python, Java, GraphQL, Databricks, Azure ML) paired with a modern frontend (React, TypeScript, shadcn/ui). Active pain points around platform scalability, low adoption, and slow renewals suggest Seeq is mid-transition—moving beyond point analytics toward embedded workflows while fighting customer churn and support overhead.

Tech Stack 45 technologies

Core StackSalesforce AWS MATLAB Java Python TypeScript Go Kotlin React Tailwind CSS Figma JavaScript Apex NetSuite Workato Node.js GraphQL Databricks Azure GCP shadcn/ui Salesforce CPQ Lightning Web Components Sage Intacct LinkSquares LinkedIn Recruiter Stack Overflow OPC UA OPC HDA Azure Machine Learning+14 more

ReplacingMATLAB

What Seeq Corporation Is Building

◆Challenges

Platform scalability
Inadequate analytics tools for time-series data
Identifying friction in batch analytics workflows
Retaining high-value customers
Expanding usage of analytics platform
Enterprise readiness
Scaling support effectiveness
Slow renewal cycles
High churn
Low adoption of analytics platform

▲Active Projects

Value proposition development
Ci/cd automation
Customer-facing platform capabilities
Ai-assisted ticket triage system
Knowledge retrieval workflow for support engineers
Building reusable application patterns for data-dense workflows
Developer tools and sdks development
Global pharma & life sciences go-to-market strategy
Demo asset development
Structured onboarding program

Hiring Activity

Accelerating35 roles · 30 in 30d

Department

Sales

Engineering

Support

Product

Design

Ops

Seniority

Senior

Principal

Staff

Mid

Junior

Manager

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About Seeq Corporation

Seeq develops analytics software tailored to industrial and manufacturing organizations that generate massive volumes of time-series operational data. The platform accelerates insight discovery on data streams, events, and contextual signals from production systems, targeting verticals like oil & gas, pharmaceuticals, and energy. Founded in 2013 by veterans from OSIsoft, Honeywell, and Microsoft, the company operates from Seattle with satellite offices in western North America. Sales and support form the largest hiring vectors, paired with active engineering investment in platform capabilities, CI/CD, and developer tooling—indicating a push toward customer retention and self-service adoption.

HeadquartersSeattle, Washington

Company Size51–200 employees

Founded2013

Hiring MarketsUnited States, United Kingdom, Germany, France, Ireland

Frequently Asked Questions

What technology does Seeq use to process time-series data?

Seeq's stack includes Python, Java, GraphQL, Databricks, and Azure Machine Learning for backend analytics; React and TypeScript for frontend. The platform integrates with OPC UA and OPC HDA protocols for industrial data historian connectivity.

What industries does Seeq serve?

Seeq focuses on oil refineries, pharmaceuticals, and energy production. Recent project work signals expansion into global pharma and life sciences go-to-market strategy.

How this profile is built

Seeq Corporation'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.