Memory & context
Give your agents memory and context to carry work forward.
Collaborate and coordinate with your agents—with shared memory, tools, and rules.
Bring your people, agents, and company knowledge together, with packs tailored to your business.
Memory, context, orchestration, trust, browser and tools working together in one substrate.
Give your agents memory and context to carry work forward.
Coordinate agents, delegate tasks, and bring their work together.
Set boundaries for what agents can access and do, with human approval where it matters.
Connect agents to the web and the tools they need to act.
Cambrian is an applied AI research lab building the foundations for people and AI to work together.
Our research explores how AI agents remember, reason, coordinate, and act within defined boundaries. That work takes shape in Cambrian Core, our open source runtime, alongside developer tools and applications that bring these foundations into everyday work.
Bring people, agents, and company knowledge together in Cambrian App. Extend the company brain with packs tailored to specific business needs.
Cambrian Core brings memory, context, orchestration, trust, browser and tools into one runtime. Use it as the foundation for your agents, workflows, and applications.
Use Studio to administer your Cambrian instance, configure agents and integrations, and oversee runtime activity. Keep operator controls separate from the company brain experience.
Write agents in Python or TypeScript with Cambrian's SDKs. Use the CLI to connect to and operate your instance, alongside the tools you already use.
From a single search to always-on monitoring, Parallel gives agents every way to find, research, and act on web data. All on one platform, powered by the same proprietary index.
Deep research and analysis at enterprise scale. Give it an objective, get back structured, cited answers
Track changes and act on what matters, with structured alerts via webhook.
Cited, synthesized answers from the live web in seconds, built for synchronous interactions.
The highest-accuracy web search for your AI. Fresh, fast, and affordable grounding in one call.
Get full or excerpted contents from the public web, including PDFs, JS-heavy pages, and government sites
Build structured datasets with real-time enrichment. Describe what you want, get a live list.
Parallel makes the web programmable, bringing the world's information to agents, grounding them in better facts, helping them do complex knowledge work, and even keeping them proactively informed. Everything runs on Parallel's proprietary web search stack, built for the scale AI demands.
From sub-second lookups to hour-long research, state of the art at every tier
We evaluated search providers against six open benchmarks covering complementary aspects of agentic search: BrowseComp (hard multi-hop questions that require navigating the live web), Frames (multi-document factoid reasoning), FreshQA (time-sensitive questions where the correct answer depends on recent web information), HLE (Humanity's Last Exam — expert-level academic questions spanning math, science, and humanities), SealQA (ambiguity-robust factoid QA with intentionally misleading snippets), WebWalker (tasks designed around following links across pages to find an answer).
Every task is run through a shared deep-research harness: a single GPT-5.4 agent is given two tools (web search and web fetch) with an iterative budget of up to MAX_TOOL_CALLS=25 tool calls per question. The agent plans sub-queries, fans out searches, fetches specific pages when snippets are insufficient, and returns an answer when it exhausts the number of allowed tool calls or has sufficient information to answer the question. Each answer is then LLM-graded by GPT-5.4. We report accuracy of the final answer.
We measure accuracy and overall cost, which includes LLM token costs and tool call costs.
April 19-21, 2026
"Authoritative legal data across dozens of countries lives on sites no search engine has ever indexed. Parallel solves that at a scale we couldn't build ourselves."
"The best agentic search isn't just the fastest or the cheapest. It's net new information that language models don't already know. Parallel delivers that."
"Parallel provided us with a big upgrade in speed and index coverage. Combined with a 5x improvement in cost efficiency, it was an easy decision to build our agents with them."
"You cannot make mistakes in financial services. With Parallel, our banking customers run agents that complete complex KYC checks in minutes, not hours."
Build trust with the Basis framework, unique to Parallel: calibrated confidence scores, citations, source excerpts, and reasoning traces.
Every Parallel API flexes to fit your needs. Dial speed, depth, and cost to what each workflow is worth, set a budget cap, and hold to it. Per-request pricing means you pay for answers, not tokens, so there's no incentive to burn context and no surprise bill at the end of the month.
Get started with our APIs in seconds. Run up to 5,000 requests per month for free.