Build smarter AI assistants with live, cited web research

Add cited answers, entity background, and live research to your product with one API, fast enough to feel native and accurate enough to trust.

Use Cases

The web layer for category-leading agents

Answer questions with fresh, cited facts

Pair Search and Extract to give your product current, grounded answers with clean, quotable source text, instead of stale training data. Sub-2-second latency, fast enough to run in the request path.

What industry changes are likely to have a major impact on the outcome of this project?

Three trends to watch: new EU AI rules, rising inference costs, and tighter enterprise budgets, all flagged in recent sector coverage this month.

Add real-world context to any entity

Enrich the people, companies, places, and topics your product touches, in a query, a doc, or a meeting, so it responds with the right background, automatically.

YOUR MEETING BRIEF

Dana Whitfield, VP of Engineering at Northwind Labs, leads platform engineering for an enterprise SaaS company. Previously in cloud infrastructure, she joined three years ago. Northwind recently raised a Series B, and Dana recently spoke at KubeCon on scaling internal developer platforms, a good angle if the convo turns technical.

Ship an in-product research feature

Offer a research capability backed by a web subagent. Give it an objective, get back a structured, cited report, with compute you can dial per task.

Compare how Uber vs. Lyft each acquired their first million users. What did each do differently, and how did

TASK DEEP RESEARCH

• Uber: City-by-city with premium black cars, then referral credits to seed both sides.
• Lyft: Peer rides and pink mustaches, driven by word-of-mouth and events.

Keep a feed or knowledge base current

Watch the topics, sources, and entities your users care about and update your product the moment something changes. Powers live feeds, alerts, and always-current knowledge.

Keep my workspace current: watch for job changes, fundraises, major announcements, and sentiment around each.

Executive change at Northwind Labs

• 5M AGO

Series B funding at Helix Bio

• 40M AGO

Acquisition of Beacon Systems

• 5H AGO

Customer Story

Notion AI answers from the live web

Notion uses Parallel to bring fresh, fact-checked answers with clean, quotable sources into the workspace, so users get current information without leaving their docs.

“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.”
— Sarah Sacks, AI Lead, Notion

Poke knows before its users ask

Poke, the AI companion from Interaction, runs a Parallel monitor on whatever each user cares about and starts the conversation the moment something happens.

“Parallel’s Monitor API gives Poke the power to keep track of anything that interests our users. Things like their favorite sports team, stuff to do in their neighborhood, or news that matters to them. It helps make Poke more proactive in their daily lives, which ultimately makes for a better companion.”
— Marvin Von Hagen, CEO, Interaction

Trust

Built for enterprise, secure by design

Every Parallel output includes the Basis framework, unique to Parallel: calibrated confidence scores, citations, source excerpts, and reasoning traces.

• SOC 2 Type 2
• Zero data retention Available
• HIPAA-ready offering
• GDPR Compliance
• Single sign-on (SSO/SAML)

Pay for answers, not tokens

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.

FAQs

• How fast is a Parallel Search and Extract call for in-product use?
  Pair Search (turbo ~200ms; basic ~1s) and Extract for current, grounded answers with clean source text — fast enough to run in the request path of your product.

• Can I add a "deep research" feature to my app using Parallel?
  Yes. Use the Task API configured for deep research to ship structured, cited in-app reports — the same building blocks teams use for account briefs and thesis-level research, exposed as a product feature.

• How does Parallel keep a knowledge base or feed current?
  The Monitor API tracks topics, sources, and entities continuously and sends alerts when something appears or changes — so feeds and knowledge bases stay fresh without manual refresh jobs.

• Does Parallel work well for consumer AI assistants like companions?
  Yes. Poke, the AI companion from Interaction, runs Parallel monitors on whatever each user cares about and starts the conversation when something happens — cited, proactive research that feels native in a consumer assistant.