Rendix AI

Full-stack AI engine built on Bittensor.

NexisGen SN70 | Leoma SN99 | Eirel SN36

[Rendix AI @rendix_network]

@mentatminds @404gen_ @zeussubnet @desearch_ai @trishoolai @ai_detection @ReadyAI_ @0x_Markets @almanac_market SN36 is @eirel_ai and SN99 is @leoma_ai .

[Eirel AI | SN36 @eirel_ai]

Who's already using Eirel?

We want feedback from real users.

How is the speed? How is the research quality? Are the models routing well? Is the agent workflow useful enough for daily work?

Another huge update is coming.

We’re improving latency, tool execution, model selection, research depth, and overall reliability.

In a few months, Eirel won't just be an alternative.

It will be the default.

[Eirel AI | SN36 @eirel_ai]

Eirel has reached 500 users just a few days after launch.

This is only the beginning.

More users are discovering what we are building on Bittensor SN36: deep research, image generation, web search, and multi-model AI in one product.

I believe more users will come, use it, and pay for it.

Real product. Real users. Real growth.

Thanks to $TAO miners.

[Eirel AI | SN36 @eirel_ai]

We are on building a multi-turn conversational assistant across instant and thinking modes.

It is backed by owner-routed tool services, including web search, URL fetching, Python sandbox execution for verifiable computation, and RAG retrieval over per-run document corpora.

We are now building the product and will soon release it with the agent code from the top miner.

Stay tuned for the updates.

#Bittensor $TAO

[NexisGen AI | SN70 @nexisgen_ai]

Since yesterday, miners have added 5 more hours of video generation data to NexisGen.

That brings the total to 27 hours of video generation data now available.

You can check our progress here:
https://t.co/f83kLRjYFg
Thanks to all the miners contributing.

#Bittensor $TAO

[NexisGen AI | SN70 @nexisgen_ai]

We are starting with AI training datasets for video generation models, but this is only the first step.

The current dataset includes structured video clips like this:
- 1280×704 resolution
- 24 FPS
- 121 frames per clip
- structured clip IDs, producers, and intervals
- link: https://t.co/OhYLztCDA5

In just a few days, we’ve already collected around 22 hours of video data, with a lot more coming soon.
SN70 is building the data layer for decentralized AI training, starting with video.

#Bittensor $TAO

[Vex @vex020900]

All three @rendix_network subnets are live now.

Subnet 70 - @nexisgen_ai is to get the large scale AI Training Data for various models. (https://t.co/NXGtfbVDuE)
Subnet 99 - @leoma_ai to build the best Video Generation Model. (https://t.co/QWjUvmTa85)
Subnet 36 - @eirel_ai is the execution layer of multimodal AI workflows. (https://t.co/Icu85GhnGo)

All three subnets are live and moving fast in parallel.
The product needs high-quality output, and that comes from both a strong agent and a strong model.
A strong model comes from a good training pipeline and high-quality data.

That’s why we need all three subnets working together to build a product that can compete with SOTA.

#Bittensor $TAO

[NexisGen AI | SN70 @nexisgen_ai]

Incentive Mechanism updates!

Reward miners whose video datasets produce the best fine-tuned TI2V models. Quality is measured by training a LoRA on each miner's data and scoring its generations with VBench.

How a cycle works:
- Miners upload 400-clip datasets (1280×704, 24fps, 121 frames, captioned) to their own R2 buckets.
- Owner-trainer picks eligible miners, validates the dataset spec, trains a LoRA on each, and publishes eval-prompt videos to a shared bucket.
- Validators score every miner's videos with VBench across 8 dimensions, sign and submit scores to the subnet API.
- API averages scores across validators → total_score.json.
- Set-weight (every 300 blocks): top-5 miners get weights [1, 1/2, 1/4, 1/8, 1/16] normalized; no scores → burn to UID 0.

VBench dimensions: i2v_subject, i2v_background, subject_consistency, background_consistency, motion_smoothness, dynamic_degree, aesthetic_quality, imaging_quality Aggregate = mean of the 8.

Dataset must-haves (any failure → rejected):
- Exactly 400 clips, 1280*704, 24fps, 121 frames
- Non-empty per-clip caption
- No internal (source_url, start_sec) duplicates
- <=100 clips overlap with the global overlap index

Anti-gaming:
- Selected miners auto-marked invalid; re-entry requires a top-5 finish.
- Global overlap index blocks resubmitting the same URLs.
- Multiple independent validators average each score.

Links:
- Dashboard: https://t.co/VCR8rxz5UH
- Github: https://t.co/s1rcUiUhzD

bittensor:native Bittensor

[Rendix AI @rendix_network]

Old datasets train yesterday’s problems.
Static data pipelines move too slowly for what models need now.

@nexisgen_ai is a live data layer built to generate high-quality training datasets beyond the limits of static pipelines:

• failure cases current datasets miss
• edge cases legacy data never captured
• performance gaps limiting output

Starting with video generation, built to scale across high-demand AI verticals.

Only possible on Bittensor.
Datasets - Subnet 70

Rendix
Live data. Stronger models.

$TAO - SN70 - #Bittensor

[NexisGen AI | SN70 @nexisgen_ai]

Subnet 70 is live.

NexisGen is a subnet built by @rendix_network, delivering on-chain verified datasets that solve the billion-dollar dataset problem across multiple AI verticals.

Miners generate segmented, interval-based datasets.
Validators verify quality of datasets producing reproducible, production-ready data.

Top datasets feed AI pipelines: decentralized, high-value datasets powering real-world AI.

Better data → better models → faster AI results.

$TAO – #Bittensor – SN70

[Rendix AI @rendix_network]

We're proud to announce @leoma_ai is the first subnet built and launched by Rendix Network on Bittensor.

After months of development, the full subnet codebase is now live: production-ready from launch.

AI video generation is exploding:
~67M monthly users today
A market growing from $1.8B → $21B+

But current platforms remain closed systems with strict user limits and expensive pricing models.
Leoma opens the market.

Our focus at Rendix is simple:
designing high-quality subnet architecture.

Leoma is just the beginning.
More subnets are already in development as we continue building across the Bittensor ecosystem.

$TAO - #Bittensor - SN99

[Leoma AI | SN36 @leoma_ai]

Subnet 99 is live.

https://t.co/2NNbgOvMEP brings AI video generation to Bittensor.

Built by @rendix_network : the entire subnet architecture engineered from the ground up and production-ready on day one.

Mining competition is live now:

Miners
Fine-tune and deploy cutting-edge video generation models.
Validators
Benchmark outputs through layered evaluation to rank real performance.

Top miner models will be open-sourced:
Miners build on top of each other on the way to state-of-the-art performance.

AI video generation: live on Bittensor.

$TAO - #Bittensor - SN99

[Rendix AI @rendix_network]

@leoma_ai is the first subnet built and launched by Rendix Network on Bittensor.

After months of development, the full subnet codebase is now live: production-ready from launch.

AI video generation is exploding:
~67M monthly users today
A market growing from $1.8B → $21B+
But current platforms remain closed systems with strict user limits and expensive pricing models.

Leoma opens the market.

Our focus at Rendix is simple:
designing high-quality subnet architecture.

Leoma is just the beginning.
More subnets are already in development as we continue building across the Bittensor ecosystem.

$TAO - #Bittensor - SN99

[Leoma AI | SN36 @leoma_ai]

Subnet 99 is live.

https://t.co/2NNbgOvMEP brings AI video generation to Bittensor.

Built by @rendix_network : the entire subnet architecture engineered from the ground up and production-ready on day one.

Mining competition is live now:

Miners
Fine-tune and deploy cutting-edge video generation models.
Validators
Benchmark outputs through layered evaluation to rank real performance.

Top miner models will be open-sourced:
Miners build on top of each other on the way to state-of-the-art performance.

AI video generation: live on Bittensor.

$TAO - #Bittensor - SN99