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§ Private Profile · In Parallel Oy Salomonkatu 17 B 4. Krs Autotalo, 00100 Helsinki, Finland
Technology company building AI search infrastructure and a new web optimized for AI agents, serving enterprises adapting to AI.
In Parallel is a technology company building search infrastructure and a new web optimized for AI agents and the AI era. The firm's AI-first mission is to enable artificial intelligence to interact with web data efficiently, positioning AI as the web's "second user" for seamless information retrieval and processing. It focuses on developing robust core AI infrastructure for web access, specifically targeting autonomous AI agents and enterprises navigating the complexities of an AI-first digital environment. The venture-funded startup was co-founded by Parag Agrawal, former CTO and CEO of Twitter, who also serves as its CEO, leading the company's strategic direction. While specific operational metrics, funding rounds, or employee counts are not publicly disclosed, the company is actively developing its platform to support the next generation of AI-driven web interaction and data consumption. In Parallel was founded by Parag Agrawal and a co-founder.
In Parallel has raised $3.0M across 1 funding round.
In Parallel has raised $3.0M in total across 1 funding round.
In Parallel has raised $3.0M in total across 1 funding round.
In Parallel's investors include Lifeline Ventures, DN Capital.
In Parallel has raised $3.0M across 1 funding round. Most recently, it raised $3.0M Seed in November 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Nov 1, 2024 | $3M Seed | Lifeline Ventures | DN Capital | Announced |
Parallel is an early-stage AI infrastructure company building web search and research APIs optimized for AI agents and large language models. It offers tools like high-accuracy web search, FindAll for entity extraction and enrichment, and Monitor for ongoing web updates, delivering structured, verifiable data with citations to minimize hallucinations.[4][5] Serving AI developers, startups, and enterprises, Parallel solves the challenge of reliable, evidence-based web access for AI systems, which often struggle with inaccurate or unprovenance data from traditional search.[4] The company recently raised a $100M Series A at a $740M valuation, signaling strong growth momentum amid surging demand for AI-native web tools.[4][5]
Founded recently by Parag Agrawal, former CEO of Twitter (now X), Parallel emerged from the need for programmatic web interfaces tailored to AI agents.[4][5] Agrawal's background in AI and large-scale systems at Twitter positioned him to address gaps in web data access for next-gen AI, launching with a focus on production-ready APIs that power millions of daily requests.[4] Early traction came from benchmarks showing superior accuracy over competitors like Perplexity and OpenAI models, alongside rapid product releases like FindAll and Monitor, culminating in the high-profile Series A funding led by Index Ventures, with participation from Khosla Ventures, Terrain, and First Round Capital.[4][5]
Parallel stands out in the AI web infrastructure space through these key strengths:
Parallel rides the explosive trend of AI agents requiring autonomous web interaction, as models evolve from chatbots to actionable systems handling research, monitoring, and decision-making.[4] Timing is ideal amid 2025's agentic AI boom, where traditional search falls short on structured, cited outputs—market forces like rising compute costs and hallucination risks favor Parallel's efficient, evidence-based approach.[4] It influences the ecosystem by enabling "programmatic web for AIs," reducing reliance on brittle scraping and fostering new business models for AI-web integration, much like how cloud infrastructure transformed apps.[4][5]
Parallel is poised to dominate AI web infrastructure, with upcoming expansions in agent tools likely driving toward unicorn status and potential IPO via platforms like Nasdaq Private Market.[5] Trends like multi-agent systems and real-time data needs will accelerate its growth, evolving its influence from API provider to foundational layer for AI economies. As the vanguard of verifiable web access, Parallel exemplifies how ex-FAANG leaders are reshaping AI's interface with the real world—starting with the APIs that make agents truly intelligent.[4][5]