Launching today
Hyta

Hyta

The home of the AI training force

242 followers

Hyta powers post-training teams, RL vendors, AI labs, agent builders, and enterprises to run AI post-training reliably at scale by orchestrating always-on pipelines of high-quality specialised human signals across workflows and industries, tracking verified post-training contributions across domains, and compounding frontier capabilities.
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Hyta gallery image
Hyta gallery image
Hyta gallery image
Hyta gallery image
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What do you think? …

Ray
Maker
📌

Hi Product Hunt community,

As AI moves deeper into real-world workflows, post-training has become a continuous, organization-specific process rather than a one-off phase.

Hyta is built for teams that need reliable access to trusted human intelligence across domains and ML, validated contributors, and always-on post-training pipelines without rebuilding trust and process every time.

Hyta gives the human layer of AI post-training a home where contributions do not reset, trust carries forward, and real-world expertise can compound across the ecosystem.

We welcome organizations of every size, at any scale and level of complexity. Hyta is designed to be your quiet edge, turning post-training into compounding advantage over time.

Interested to hear how other teams are thinking about scaling post-training across models, products, and organizations.

Eva

Really resonate with this framing. The shift from post-training as a one-off project to something continuous and org-specific feels inevitable, especially as models are embedded deeper into real workflows.

Ray
Maker

Yeah, that shift feels fundamental.

The organizations that adapt to that mindset early are probably the ones that will compound advantages over time.

Eva

Exactly, Teams that treat post-training as durable infrastructure rather than a series of ad-hoc efforts seem much better positioned to learn faster, retain context, and turn iteration into a long-term advantage.

Zeiki Yu

Huge congrats on the launch — love how Hyta is systematizing trusted, high-signal human feedback for AI post-training at scale.

Ray
Maker

Thank you, really appreciate that.

Eva

Thanks a lot!

Eva

Yes totally agree!

Ray
Maker

Thanks!

Eva

This feels like one of those inflection points where the process matters more than the artifact. The teams that internalize that early will likely pull ahead over time.

Ray
Maker

Agreed. Once improvement itself becomes the core capability, the gap tends to widen naturally over time.

Eva

Exactly, at that point progress stops being linear and starts compounding, which is where durable advantages really form.

Ray
Maker

Yes that's very true from what I've seen