arxiv.org
↗Efficient language model research
AI search, built for understanding
Search less.
Understand more.
OptimAI turns the open web into clear, source-backed answers—so you can move from a question to a decision faster.
Answer synthesized
1.8s
Response to
Compare vector databases for a TypeScript AI product
The strongest approach is to combine fast retrieval with transparent source ranking. Start with a focused index, keep citations next to each claim, and let deeper agent workflows appear only when the question needs them.
Key finding
Quality improves when search and reasoning remain visible as two distinct steps.
Confidence
High 3 sources agree
github.com
↗Open-source ecosystem activity
docs.optimai.network
↗OptimAI technical documentation
Reading primary sources and comparing claims…
One search. Three ways forward.
Built for the questions
that shape your work.
Start broad, compare the evidence, then go deeper without changing tools.
01↗
Research deeply
Explore a topic across primary sources and see how every important claim is supported.
Multi-source synthesis
02↗
Compare clearly
Turn scattered product details, trade-offs, and benchmarks into one decision-ready view.
Structured comparisons
03↗
Summarize instantly
Compress long reports and technical pages while preserving the facts worth checking.
Cited summaries
Search you can inspect
Answers are useful.
Evidence makes them trustworthy.
01SearchExplore relevant sources across the web.
02ReasonCompare claims, context, and contradictions.
03CiteKeep every conclusion connected to evidence.
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