In Parallel

What it does

In Parallel is a shared context layer that continuously maintains an up-to-date operational picture of your organization. It captures decisions, goals, ownership, risks, and progress from meetings, chat threads (Slack, Teams), and other tools (Jira, Linear, Salesforce, etc.) and makes that context available to AI tools like Claude, ChatGPT, Copilot, and Gemini via the Model Context Protocol (MCP). Instead of relying on stale documents or personal AI memories, In Parallel provides a live, permission-scoped, and sourced memory that both humans and AI agents can trust. Features include automatically updating plans, self-writing status reports, drift detection, and cross-team dependency surfacing. The platform is EU-hosted, GDPR compliant, and certified for ISO 27001, ISO 42001, and SOC 2 Type II.

Who it is for

In Parallel is designed for enterprise teams that are deploying AI across their organization but struggling with fragmented context. It is especially relevant for CTOs, Heads of AI, COOs, Heads of Operations and PMO, as well as product, engineering, sales, and marketing teams. The pricing is per user (€69/month, with volume discounts), and the product is aimed at organizations that want to move from manual coordination and curated decks to a live, AI-readable operational memory. The startup explicitly calls out that 41% of the work week goes to coordination, and In Parallel aims to give that time back.

Why it matters

Without shared context, AI tools become disconnected and unreliable. Each AI assistant only sees what it has been taught in isolation, and static context files like CLAUDE.md quickly become outdated. In Parallel solves this by creating a single source of truth that is always current, sourced, and permission-scoped. This reduces the time managers spend chasing context (25–35 hours back per month), eliminates rework, and ensures that AI-generated answers are grounded in actual decisions and commitments. The platform also addresses security concerns by not training AI on customer data, offering transcript retention policies, and providing enterprise-grade compliance.

Launch signal

In Parallel has a dedicated landing page, pricing page, and multiple use case pages on its website. It has been featured on Product Hunt (with 125 followers) and is actively promoting its product with a 20-day free trial. The product supports integrations with major AI tools and enterprise platforms, and the company has clearly invested in security certifications. While no specific launch date or funding round is mentioned, the presence of a polished website, clear pricing, and a Product Hunt presence indicates a public launch has occurred.

Brand and naming

The name "In Parallel" suggests simultaneous, coordinated work, which aligns with the product's goal of maintaining a shared context across multiple tools and AI agents. However, the name is somewhat generic and does not immediately convey the AI focus, requiring the tagline for clarity. The domain in-parallel.com is straightforward but lengthy. The tagline "The Shared Context Layer for Enterprise AI" is precise and positions the product well in the AI infrastructure space. Overall, the brand works best when accompanied by the tagline.