For developers building AI agents, Parallel is a web-data API platform with dedicated Search and Task endpoints that return structured, LLM-ready results — the research layer behind agents at Harvey, Attio, and Granola.

Presence & Market Position

34
SOV ScoreSOV Score — earned, engagement-weighted share of voice across Adam's curated panel of GTM voices, scored against the market. Earned only: a brand's own posts do not count. Not a quality rating, endorsement, or paid placement.

#25 of 121
GTM Developer Tools

▼ 38 60-day move

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Parallel is building the web research layer for AI agents, with search and extraction services that return structured, cited information inside other products. Its integrations with Browserbase and LangChain put that position into practice. GTM operator conversation centers on account research and outbound personalization, where practitioners place Parallel alongside other search and scraping tools in working stacks. Developer discussion also covers retrieval quality, cost, and latency. The brand has an established footprint in GTM developer tools, with practical research workflows giving it a presence beyond product launch coverage.

Related brands
Customers

Dropbox, Harvey, Attio, Opendoor, Manus, Modal, Granola, Hex, Profound, Greptile

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Business Profile

Parallel was founded in 2023 by Parag Agrawal, the former Twitter CEO, alongside co-founder Travers Nisbet, on the premise that AI agents are becoming the primary users of the web and that an open, API-first layer will out-compete gated search. The company has raised twice in rapid succession, most recently a $100M Series B led by Sequoia Capital on April 29, 2026, which valued it at $2B and brought issuer-reported total funding to $230M. It runs at roughly 81 employees, a small team relative to its valuation and its customer list of agent-native companies like Harvey, Attio, and Granola.

Founded
2023
Employees
81
Total funding
$230M
Latest funding round
Valuation
$2B (Apr 2026)
Status
Independent
Scale stage
Scaled
Type
GTM Developer Tools
Developer capabilities
Web Search & Scraping
Key people

Agent Readiness

93A
Agent ReadinessAgent Readiness — how easily an AI agent can build on this product: documented API, MCP server, CLI and SDK surfaces plus the depth of the docs behind them. Scored 0-100 and graded A-F.
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Parallel ships search and extraction as agent-native primitives from the start: a Search endpoint and a Task endpoint built for structured, LLM-ready output rather than pages for people to read. On top of the core API, it publishes Agent Skills that install directly into coding agents like Cursor, Copilot, and Windsurf, plus a CLI for managing that install and authentication, extending reach from API calls into an agent's existing tool-calling loop.

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