Q

Qontext

AI context layer with unified data

Founders Associate Intern

Fall 2026
No salary listed
Internship
Berlin, Germany
In Person
Business & Strategy

About the job

Requirements
  • The candidate should have raw drive and be willing to work hard because they want to.
  • The candidate should be hands-on and able to get things done through messy problems.
  • The candidate should switch fluently between big-picture strategy and detailed execution.
  • The candidate should bring energy and optimism when things become difficult.
  • The candidate should want to learn how to build and scale an early-stage startup, potentially to start one in the future.
Responsibilities
  • Drive go-to-market activities, including sales, positioning, product marketing, and experiments that bring Qontext to market.
  • Build partnerships with artificial intelligence tools and consultancies, and run channels that grow the company's reach.
  • Set up revenue operations to make the funnel measurable and improve team speed.
  • Grow the company's presence in the artificial intelligence ecosystem through events, partnerships, and social media.
  • Own projects end to end, from idea to execution, and turn chaos into structure where situations are urgent or unclear.

About the company

Qontext provides an independent context layer for AI by centralizing and continuously updating business context. It ingests data from CRMs, documents, chat systems, and other sources to create Context Vaults, a live, structured graph of interconnected entities accessible via a single API. This context layer can be used by any AI model or tool, without vendor lock-in, to make AI processes context-aware from day one. By supplying a unified, up-to-date knowledge base about customers, products, and processes, Qontext enables workflows, agents, and applications to run with consistent, relevant context. The platform is GDPR compliant and designed to work across departments such as marketing, sales, and customer support, positioning the company as infrastructure for enterprise AI. Its goal is to reduce fragmentation of business knowledge, improving the reliability, scalability, and governance of AI applications through reusable context data and a data-graph approach.

Company Size

11-50

Company Stage

Seed

Total Funding

$2.7M

Headquarters

Berlin, Germany

Founded

2025

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Simplify's Take

What believers are saying

  • February 2026 funding gave Qontext $2.7 million for hiring and product expansion.
  • Tech.eu said customers already use it for sales, marketing, support automation.
  • 2026 competitors like Modus, Zaro, and Palette validate demand for context infrastructure.

What critics are saying

  • Modus, Zaro, and Palette compress Qontext's wedge with better-funded 2026 launches.
  • Large platforms can bundle context layers into CRM, helpdesk, and cloud products.
  • If enterprise renewals lag, Qontext dies before Series A funding in 2027.

What makes Qontext unique

  • Qontext centralizes company context once, then reuses it across agents and workflows.
  • Its single API and context vaults target AI-agnostic, GDPR-compliant enterprise deployments.
  • HV Capital, Zero Prime, and founders from n8n, Neo4j, Celonis back it.

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Benefits

  • Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-9%

1 year growth

-9%

2 year growth

-9%
Tech.eu
Feb 5th, 2026
Qontext closes $2.7M pre-seed round to develop a context layer for AI

Qontext addresses fragmented business context as AI adoption expands across teams, a challenge that often limits outcomes more than model capability.