Alternatives
Products that do what Arionis does
LATAM's largest AI Data Licensing Infrastructure
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8AF
We believe that AI should be fully open source and part of the collective knowledge. The original LLaMA code is GPL licensed which means any project using it must also be released under GPL. This "taints" any other code and prevents meaningful academic and commercial use. Lit-LLaMA solves that for good.
2023 · github.com
- 9
- 10
- 11
- 12
- 13
GTM infrastructure for agent builders to scale and monetize.
Jan 2026 · adenhq.com
- 14
- 15
- 16
- 17WB
Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
Mar 2026 · enlidea.com
- 18IB
Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
Oct 2025 · github.com
- 19SO
Henry, Matt and James here – we’re building an open source toolkit that makes it easy to integrate an LLM-powered copilot that talks to your API into software products. It works by calling API endpoints which you choose to expose to it. This lets the chatbot complete tasks within your software in response to natural language queries. It’s also open source, so you don’t have to send user data to another 3rd party. We support Llama 2, but we haven’t fine-tuned Llama 2 yet (coming soon) so highest accuracy is seen with GPT-4 or fine-tuned GPT-3.5 (much faster). We started working together 2…
2023 · github.com
- 20OS
2024 · github.com
- 21LM
We are the developers of an open-source package Metaflow that we started at Netflix. Metaflow provides a human-friendly interface to the full stack of ML infrastructure, including data access, compute, workflow orchestration, and versioning. It is used by hundreds of companies across industries. Over the past years, we have seen that there are two major stumbling blocks for folks who want to learn to build real-world ML applications: 1) Setting up the full infrastructure stack in the cloud costs time and money. The investment is worth it once you know what you want to do, but that's not…
2023 · outerbounds.com
- 22HN
Hi HN, We’re Joel, Louis-Nicolas and Hilario, the founders of Humiris (humiris.ai). Humiris is a next-generation AI infrastructure that lets you build your own model by mixing and optimizing multiple foundation models to achieve high performance, unmatched accuracy , speed, and cost-efficiency. Our platform combines advanced routing, custom reasoning models, and mix tuning to help businesses leverage AI at scale without sacrificing quality or control. Here’s how it works: • Routing Intelligence: Humiris uses a large-scale routing model to automatically select the best LLM based on your…
2024
- 23
- 24
Ranked by how close each launch is in meaning, then by votes. Refine with a description →