Collaboration.Ai Acquires innosabi to Build a Connected Insight-to-Execution Innovation Platform

Collaboration.Ai bought innosabi to link early insight with execution in one platform. NetworkOS and CrowdVector now reach 300+ organizations and 1.2M users.

Categorized in: AI News Management
Published on: Jan 11, 2026
Collaboration.Ai Acquires innosabi to Build a Connected Insight-to-Execution Innovation Platform

Collaboration.Ai Acquires innosabi To Expand AI-Based Innovation Management Platform

Collaboration.Ai has acquired innosabi GmbH to build a more connected platform that moves organizations from early insight through execution across the full innovation lifecycle. Terms were not disclosed.

The move adds scale to Collaboration.Ai's portfolio-especially NetworkOS and CrowdVector-by integrating innosabi's modular suite for insight discovery, idea development, collaboration, evaluation, and delivery. innosabi brings more than 300 organizations and 1.2 million active users across 30+ countries.

What's changing

Under the new ownership, innosabi will continue serving its customers while tapping Collaboration.Ai's agentic AI, graph-based intelligence, and unified workflow approach. The combined stack aims to help teams operate with more cohesion in environments where priorities shift and execution needs are high.

  • End-to-end coverage: from signal discovery to portfolio execution in one connected system.
  • Scale: 300+ organizations and 1.2M users expanding the network effects of NetworkOS and CrowdVector.
  • Intelligence layer: graph-based context and agentic AI to reduce handoffs and decision fatigue.

Why it matters to managers

This consolidation reduces tool sprawl and creates a clearer path from strategy to shipped outcomes. For leaders, it means tighter governance, faster cycle times, and less friction between discovery, evaluation, and delivery.

  • Portfolio visibility: one place to prioritize ideas, allocate resources, and track throughput.
  • Speed: fewer transitions between systems; more repeatable workflows from proposal to value realized.
  • Decision support: graph-based context surfaces dependencies, experts, and risks earlier.
  • Continuity: vendor stability and a roadmap that balances new capabilities with reliability.

What to expect next

Near term, customers should see tighter product integrations and shared data models. Expect alignment on support, security, and roadmap communications as the platforms converge.

  • Integration timeline: APIs, SSO, and data schemas mapped across portfolios.
  • Contracts and pricing: clarity on licensing, renewals, and seat models.
  • Data migration: frameworks for moving historical ideas, evaluations, and KPIs.
  • Security and compliance: unified audits, certifications, and incident response.
  • Support: a single entry point for tickets, SLAs, and success plans.

Questions to ask your team and the vendor

  • Which innovation workflows do we consolidate first, and what is the expected impact on cycle time?
  • How will graph-based insights and agentic AI be governed to avoid bias and drift?
  • What's the migration plan for historical data, custom fields, and integrations?
  • Which KPIs (lead time, adoption, value realized) will the new stack improve in the next two quarters?
  • How are permissions, audit logs, and model usage tracked across the combined platform?

Action steps for managers

  • Audit your current idea-to-execution tools; shortlist what can be consolidated.
  • Map critical workflows (intake, review, funding, delivery) and define owners.
  • Set clear KPIs: time-to-first-decision, percent funded-to-delivered, and value captured.
  • Run a 60-90 day pilot with a high-visibility program and publish findings to stakeholders.
  • Review AI governance alongside the NIST AI Risk Management Framework (NIST AI RMF).
  • Plan enablement: playbooks, office hours, and role-based training. If your team needs upskilling, see curated options by role at Complete AI Training.

Key quotes

Brennan Townley, CEO, Collaboration.Ai: "Collaboration.Ai was founded on the belief that the full potential of human connections is what helps teams solve the world's hardest problems. Acquiring innosabi allows us to bring complementary capabilities together on a shared foundation so organizations can work with greater clarity and confidence when stakes are high and conditions are constantly evolving."

Jan Fischer, Managing Director, innosabi: "This next chapter builds on innosabi's mission to help organizations continuously improve how they innovate and grow. By joining Collaboration.Ai, we're deepening an already successful partnership and moving toward a more connected platform that guides teams from early insight through execution."

Bottom line

This acquisition signals a push toward fewer handoffs and more measurable outcomes in innovation. If you lead a portfolio or PMO, this is a chance to simplify your stack, raise decision quality, and shorten the path from idea to delivered value-without sacrificing governance or reliability.


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