Question 1

How is Krater different from Perplexity Pro or Elicit?

Accepted Answer

Perplexity Pro is excellent at search; Elicit is excellent at structured literature review. Krater combines both alongside Claude Opus 4.6, GPT-5 Pro, Gemini 3 Pro and 340+ other models — the full reasoning stack you actually use across a project. Many researchers keep Elicit for specific lit-review workflows and use Krater as the everyday workspace.

Question 2

Can I trust Krater's sources?

Accepted Answer

The search models return real citations you can click and verify. As with any AI tool, never cite a source you haven't read — Krater accelerates your reading list, it doesn't replace primary sources.

Question 3

How big a corpus can I drop into Keep?

Accepted Answer

Keep stores hundreds of documents. For reasoning, Claude Opus 4.6 handles 1M tokens (roughly 750,000 words) of context at once — enough for a substantial literature review in one shot.

Question 4

Will Krater train on my unpublished work?

Accepted Answer

No. Krater does not train on user prompts or uploaded documents. For sensitive pre-publication or proprietary work, our Enterprise plan adds DPA, EU hosting and dedicated security review.

Question 5

Is there an academic discount?

Accepted Answer

Krater's public pricing is already accessible — Starter at $9/month or yearly equivalent of $7.50/month. For department-wide rollouts or research labs, our Enterprise team can quote multi-seat plans.

AI for researchers — depth, sources, every model