Planned Platform Upgrade

This isn't a pause —
it's a step-change.

We've taken the platform offline briefly to move it decisively into the next tier of enterprise readiness.

We expect to be back within the coming days

Multi-Agent Intelligence

At the heart of this upgrade is our next-generation multi-agent architecture — a system where specialised AI agents collaborate in real-time to synthesise, challenge, and refine collective intelligence.

Our vision: unlock the full value of distributed expertise by orchestrating multiple agents that each bring unique analytical lenses — from pattern recognition to devil's advocacy to synthesis — working together to surface insights no single model could reach alone.

Currently deploying enhanced agent orchestration and efficiency improvements

We've taken a short, intentional pause to lift the platform to world-class enterprise standards — the kind required for global scale and high-trust engagements.

We're carrying out a planned upgrade to improve the platform's performance, reliability, and overall experience.

This update strengthens system stability, improves usability, and introduces more efficient AI capabilities — ensuring the platform continues to perform well as teams and participation scale.

We've chosen to complete this work in a single, focused window rather than rolling out incremental changes, so we can return with a noticeably stronger and more dependable experience.

Thank you for your patience — we're building for the long term.

Specifically, we're:

1. Hardening for global enterprise scale

Strengthening performance, stability, and security to meet the expectations of large, distributed teams operating across regions and time zones.

2. Aligning to world-class product standards

Upgrading UI/UX to match enterprise expectations — cleaner flows, faster comprehension, and frictionless participation at scale.

3. Optimising the AI cost–value curve

Introducing more efficient agent architectures so insight density goes up while cost per engagement goes down — critical for enterprise roll-outs. Shifting from a flat licence model to transparent, usage-based pricing, allowing organisations to scale more effectively and fairly while keeping costs aligned with actual usage.

4. Preparing the platform for flagship use cases

Ensuring the system is robust enough for high-visibility, senior-level engagements where reliability and confidence matter as much as insight.

5. Treating reliability as brand equity

We'd rather take a short, intentional pause than carry forward technical compromises. This is about long-term trust, not short-term convenience.

Need to reach us urgently? team@mindhive.ai

Last updated: January 12, 2026

This isn't a pause —it's a step-change.