SID
ActiveAI research lab for retrieval
About
SID is an AI research lab based in San Francisco. We train models that can retrieve and reason over any data source.
From their website
www.sid.ai ↗SID AI is an AI research lab focused on training retrieval models that are more accurate, cheaper, and faster. It positions itself as an entity dedicated to improving retrieval model performance and efficiency.
SID trains retrieval models to improve accuracy while reducing cost and latency. The concrete workflow details are not provided in the text, but the core offering is model training aimed at optimizing retrieval performance and efficiency.
Who it’s for: organizations or teams needing retrieval-augmented AI, information retrieval systems, search/retrieval workloads
- retrieval model training
- focus on accuracy
- cost efficiency
- faster retrieval
- AI research emphasis
Founders · 2
Max is the CEO of SID.ai. Previously, he was a researcher at ETH Zürich, where he worked on AI accelerator design with the professor who developed Google's TPU architecture. Max was awarded a German national excellence scholarship, awarded to 0.5% of German students.
Lotte is determined to let people use their data for their own good. She holds a degree in CS from ETH Zürich and a degree in Economics from the University of St. Gallen.
Launch
AI research lab for retrieval
SID presents SID-1, an agentic retrieval model designed to provide contextualized intelligence by performing multi-step retrieval akin to human research. It outperforms embedding-only search and several competitor models in accuracy and speed, is drop-in compatible with existing retrieval systems, and is available via API, AWS Bedrock, or self-hosted; a waitlist is offered for early access.
From the original launch (Jul 2023) — may be outdated.
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