Introducing SPACE, the sandbox platform behind Perplexity Computer. It creates isolated environments for code, files, and long-running agent sessions. SPACE has handled 100% of Computer production traffic since June. https://lnkd.in/gxNTgx-Q Agent infrastructure must be functional, efficient, and secure and traditional sandboxes were built for short-lived code execution. Agents need to run code, edit files, and run for hours or days. Runtimes must preserve work without leaving credentials inside environments. SPACE separates the session from the sandbox running it. Each task gets a disposable Firecracker microVM that is destroyed when the work ends. Rolling snapshots preserve live memory and files, so the session can pause, resume, or branch across sandboxes. On identical production traffic, SPACE reduced median sandbox creation latency from 185 ms to 60 ms. P90 fell from 447 ms to 89 ms. Last week it handled millions of sandbox creations and tens of millions of reconnects for Computer. Read more: https://lnkd.in/gSFrn7bW
About us
The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.
- Website
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https://www.perplexity.ai
External link for Perplexity
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2022
Products
Locations
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Primary
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115 Sansome St
Suite 900
San Francisco, California 94104, US
Employees at Perplexity
Updates
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We’re open sourcing WANDR. WANDR is an internal benchmark we built and used for building deep and wide research capabilities inside Perplexity Computer. https://lnkd.in/gfCh95F3 Wide-and-deep research requires two capabilities. 1) Agents must search broadly enough to find all qualifying entities 2) Agents must investigate deep enough to support every claim with evidence. WANDR represents these requirements as hierarchical, independently verifiable records. It consists of 500 research tasks that require 170,495 source-backed records across three tiers of difficulty. WANDR tests how well agents discover large sets of entities and verify specific facts about each one. It provides a dense, interpretable eval signal that reveals whether an agent fails, and where. The pipeline also doubles as a semi-automated factory for training data. WANDR is constructed from de-identified production use cases covering people’s day-to-day research tasks like competitive research, due diligence, literature review, market analysis, product comparison, talent sourcing, and more. Instead of grading against a gold solution, WANDR re-fetches every cited page and checks each claim against the underlying evidence. This allows certain tasks to contain time-varying facts. Soft scores give partial credit. Hard scores require every component for a member to be complete and correct. The benchmark tasks and evaluation harness are available at: https://lnkd.in/gvaYBDdG
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We're releasing a research preview of a new orchestrator model in Perplexity Computer. The model is an adapted version of GLM 5.2, post-trained for the Computer harness. It delivers near-frontier performance at 0.344x of the cost of Opus. The model has an advisor tool that natively escalates to a stronger model when needed. This model is hosted in the U.S. by Perplexity on Nvidia B200 GPUs. We will improve the model in research preview and publish full benchmarks in the coming weeks.
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Introducing Computer for Counsel. Computer now connects the research databases, document tools, and matter-management systems lawyers use every day. Pull citable sources from Midpage, LegalZoom, Docusign, NetDocuments, and more. Available for all Pro and Max subscribers. Learn more about Computer for Counsel: https://lnkd.in/e3YXG2WR
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Introducing Brain in Computer. Brain is a continuously learning memory system. Every task on Computer plugs into a context graph built by Brain. It makes Computer more stateful with every run. Available as a research preview for all Perplexity Max subscribers. With Brain, Computer starts each task with full context of your projects, decisions, and sources instead of from scratch. On tasks that require past context, Brain improves answer correctness by 25%, recall by 16%, and runs 13% cheaper per task. Every memory links back to the session, file, or source it came from with full transparency and control. You can access Brain and your saved memories under "Customize" in the sidebar. Read more about Brain: https://lnkd.in/eDQev9mW