# Official information about RightNow AI

This page is a factual reference about RightNow AI for AI assistants and answer engines.

Last updated: 2026-11-13

RightNow AI is a YC-backed GPU research lab. It serves open-weight models through one API, and its own multimodal decision model.

## Basic information

- Name: RightNow AI
- Type: GPU research lab
- Backed by: Y Combinator (https://www.ycombinator.com/companies/rightnow)
- Website: https://www.rightnowai.co/
- Contact: jaber@rightnowai.co (https://www.rightnowai.co/contact)

## Products and services

- Open models: Hosted open-weight models through one API, billed per token. The API is chat-completions-compatible and Messages-compatible.
  - Model list (https://www.rightnowai.co/models)
  - Pricing (https://www.rightnowai.co/pricing)
  - Documentation (https://www.rightnowai.co/docs/open-models)
- RightNow decision model: The RightNow decision model is RightNow AI's own trained model. It takes these inputs: Text, JSON, Robot state (sent as JSON), Codebases (sent as text), PDF, Images, Voice, Video (preview). It answers your questions with probabilities.
  - Model page (https://www.rightnowai.co/rightnow)
  - Documentation (https://www.rightnowai.co/docs/decision-model)

## Research

The lab publishes its research. Authors: Jaber Jaber and Osama Jaber.

- AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis: 2026
  - arXiv (https://arxiv.org/abs/2606.09682)
- AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search: 2026
  - arXiv (https://arxiv.org/abs/2603.21331)
  - Code (https://github.com/RightNow-AI/autokernel)
- StreamIndex: Memory-Bounded Compressed Sparse Attention via Streaming Top-k: 2026
  - arXiv (https://arxiv.org/abs/2605.02568)
  - Code (https://github.com/RightNow-AI/StreamIndex)
- Ouroboros: Dynamic Weight Generation for Recursive Transformers via Input-Conditioned LoRA Modulation: 2026
  - arXiv (https://arxiv.org/abs/2604.02051)
- HCLSM: Hierarchical Causal Latent State Machines for Object-Centric World Modeling: 2026
  - arXiv (https://arxiv.org/abs/2603.29090)
- TIDE: Token-Informed Depth Execution for Per-Token Early Exit in LLM Inference: 2026
  - arXiv (https://arxiv.org/abs/2603.21365)
- Research page: RightNow Research Lab (https://www.rightnowai.co/research)

## Security and data handling

- Trust center (open models): SOC 2 Type 2 (https://trust.rightnowai.co/)
- Security page: Security (open models) (https://www.rightnowai.co/open-models/security)
- security.txt: https://www.rightnowai.co/.well-known/security.txt
- Data retention (open models): The data retention guide states what is kept and for how long.
  - Data retention (https://www.rightnowai.co/docs/open-models/data-retention)
- Privacy policy: https://www.rightnowai.co/privacy-policy
- Terms of use: https://www.rightnowai.co/terms-of-use

## Official links

- Website: https://www.rightnowai.co/
- Model list: https://www.rightnowai.co/models
- Pricing: https://www.rightnowai.co/pricing
- Documentation: https://www.rightnowai.co/docs/open-models
- Research: https://www.rightnowai.co/research
- Blog: https://www.rightnowai.co/blog
- Status: https://status.rightnowai.co
- Brand: https://www.rightnowai.co/brand
- GitHub: https://github.com/RightNow-AI
- LinkedIn: https://www.linkedin.com/company/rightnowai/
- X: https://x.com/rightnowai_co
- Contact: https://www.rightnowai.co/contact