Zhanibek Datbayev

Co-Founder & CTO @NaceAI

[Nace AI @NaceAI]

We’re open-sourcing Drex-Max v1
The most capable Multimodal Decision Model !

And yes: it runs 100% locally on Apple Silicon (M4 & M5)

Enjoy Building with Nace!

Cloud Inference: https://t.co/fm3GXfjaqx
Local Inference: https://t.co/9nwcBn7c2D

[Zhanibek Datbayev @itomatik]

🔥 Drex 2.0 is now available for dedicated deployment with @FireworksAI_HQ's FireAttention!

[Nace AI @NaceAI]

Introducing Drex 2.0 - our Fastest and Smartest Decision Model!

3B active parameters, super fast inference.

Try Drex 2.0: https://t.co/mhVkxMFntX
• Up to 38% faster on 32K–128K inputs vs. Drex 1.5
• $0.06 per 1M input tokens
• Runs on @sgl_project
• $25 Sign Up Bonus

Day 0 support from @FireworksAI_HQ’s FireAttention
dedicated deployment.

[Zhanibek Datbayev @itomatik]

@ramin_m_h Ah found this view: https://t.co/GsekXbrq7O

[Zhanibek Datbayev @itomatik]

@ramin_m_h congrats one amazing results! is this dashboard live somewhere?

[Zhanibek Datbayev @itomatik]

@sarlev_ @NaceAI fixed

[Zhanibek Datbayev @itomatik]

https://t.co/bM2UI7mnpI’s master chef keeps cooking! 🔥 @nischay_twt, congrats on another fantastic open-source release!

[Nace AI @NaceAI]

We’re open-sourcing Drex 1.5 today!

The smallest #1 decision-making model, built for local and cloud deployment with a 128k context window.👨‍💻

Compatible with Ollama, Unsloth, OpenCode or plug it into Claude, Codex, Cursor, Hermes, Claw and more.

Try it now: https://t.co/oI7Ujo3qFz
Cloud users: Claim a $25 sign up bonus

[Zhanibek Datbayev @itomatik]

@ssailaukan Amazing feedback, thank you, @ssailaukan !

[Zhanibek Datbayev @itomatik]

We’ve released the code and weights for Drex DLM, our 8B diffusion-based decision model.
Run it locally. Get probabilities over your options in a single forward pass.
Give it a try and tell us what works and where it falls short.

https://t.co/kGFAjBbpZ1
https://t.co/6w6IC0VAP2

[Nace AI @NaceAI]

Drex 1.1 is now open source.

It’s an experimental decision model built on a diffusion language model backbone, compatible with any app that works with the /v1/systemone endpoint.

Run it locally with llama.cpp, Ollama, or Unsloth, then bring it into your agent harness of choice: Claude Code, Codex, Cursor, OpenCode, and more.

Enjoy building 🦖
GitHub: https://t.co/dQiApWfv5c
Hugging Face: https://t.co/yxftRuiENb

[Zhanibek Datbayev @itomatik]

@ssailaukan also which drex version did you use drex-dlm or drex-1.5 through API?
As for the splitting the document into pages - that's an unusual use case. Do you have long text where you're trying to figure out page splits?

[Zhanibek Datbayev @itomatik]

@NaceAI NDI

[Zhanibek Datbayev @itomatik]

We've launched NDI: frontier-level document intelligence.😎

[Nace AI @NaceAI]

Introducing NDI 1.0 - a small model for document processing.
#1 on Parse Index Normalized (across 6 public benchmarks)

GPT-6 Astra performance at 1/10th the cost

📈 Trained on 15M+ financial files for industry-grade accuracy.

Get started with $25 in free credits:
https://t.co/5UDyDKtS9m

Reply "NDI" for a single file setup for Claude Code, Codex, PI, Opencode, Hermes, Prime Agent, and more. Start parsing and classifying documents.

[Zhanibek Datbayev @itomatik]

@nischay_twt and our AI team are cooking 🔥 Drex 1.5 is live. Proud of what we’re building.

[Nace AI @NaceAI]

Drex 1.5 is Live! 128k context window, more rivalry to Jev

#1 on the Decision Index 0.2.1 + JevBench (SOTA)
Absolute leader in long context decisions

Latency: sub-second
Decision models are getting better!
Price: $0.04 per 1M input tokens

Try Drex with 250M free tokens
https://t.co/TELVPW73qi

#drex #jev #nace

[Nace AI @NaceAI]

Drex 1.1 is live - trained more with RLAF for in-code decision-making. More rivalry to Jev.

+3.1% on the Tools & Automation Index. Try both models depending on your use-case.

Claim 250M free welcome credits and start improving your agents: https://t.co/DWKryQ7Ios

Price: $0.04 per 1M tokens
Latency: less than a second

#drex #jev #nace

[Nace AI @NaceAI]

Introducing Drex - a lightning-fast decision model built to rival Jev.

#1 on the Decision Index. (official scores tbd) winning 23 out of 40 benchmarks

Architecture: Small Diffusion Model with RLAF
Price: $0.04 per 1M input tokens (cheaper than Jev)
Latency: less than a second.

Sign up now for 250M welcome credits.
https://t.co/ygsSRSXp3F

Open weights and the full tech report are coming very soon. 👀 🦖

#jev #nace #drex

[Zhanibek Datbayev @itomatik]

@antirez Really inspiring progress @antirez ! What's your typical path to discovering inference optimization opportunities? Are you automating this in a auto-research mode style? Or you know exactly what optimization you want and purely using Sol + Fable to plan and implement?

[Zhanibek Datbayev @itomatik]

@sarahdingwang 👀

[Zhanibek Datbayev @itomatik]

@m0ldilocks @cantos @collabfund Labs

[Zhanibek Datbayev @itomatik]

@suleimenov @NaceAI @SZhussupbekova