We’ve seen an explosion of AI tools over the past two years.
AI coding assistants. Image and video generators. Personalized GTM email drafters. As individuals, we can now produce high-quality output much faster than before. Building an MVP no longer feels intimidating. AI-generated short-form content floods social platforms daily. By almost every measure, individual productivity is booming.
Naturally, you’d expect the way people collaborate to evolve alongside this acceleration.
But has it?
The reality inside most enterprises says otherwise: while individuals are moving faster, the way teams communicate and collaborate has remained largely unchanged.
Engineering managers still spend close to half their time syncing — running standups, chasing ad-hoc updates, and aligning across teams. Product managers still spend days each month walking sales teams through the latest releases. Sales engineers and account executives still need to pull subject-matter experts into customer calls just to ensure accuracy. Engineers still make decisions in group chats, only for someone else to explain those decisions again to PMs, TPMs, or new hires weeks later. A branch gets merged, but Jira doesn’t get updated — and now someone has to chase down the “real” state of the work.
When individuals move faster, context decays faster — and becomes more fragmented.
Documentation becomes outdated more quickly. Tribal knowledge resides in people’s heads. Alignment requires more frequent syncs. Enablement becomes a constant effort. The coordination overhead doesn’t shrink — it grows. If you’ve ever worked on a team of more than 20 people, you’ve almost certainly felt this.
The work itself isn’t always the problem. Keeping everyone aligned is.
At Teamate, we believe deeply in the power of collaboration. The most ambitious and meaningful ideas are rarely built by individuals in isolation — they emerge from teams where each person contributes a unique perspective and area of expertise.
So we’ve been asking ourselves:
What should collaboration look like in the era of AI?
What if AI didn’t just help individuals produce artifacts, but actively participated in the collaborative process itself? Could it help facilitate discussions, surface relevant context at the right moment, track evolving decisions, and flag risks before they become problems? Could AI reduce the invisible labor of “carrying context” – so humans spend less time relaying information and more time on novel, creative and strategic work?
That question sits at the heart of Teamate. Our mission is to rethink how humans collaborate with one another — and to reimagine the role AI can play in enabling alignment, continuity, and shared understanding inside teams.
We’re excited to explore and build this future — together with the teams who feel this problem every day.