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§ Private Profile · San Francisco, CA, USA
The fastest path from submission to better decisions.
Pibit.ai has raised $7.0M across 1 funding round.
Key people at Pibit.ai.
Pibit.ai was founded in 2020 by Akash Agarwal (Founder).
Pibit.ai has raised $7.0M in total across 1 funding round.
Pibit.ai is an SF–based insurtech company reconstructing the art (and science) of commercial underwriting for carriers and MGAs. At the heart is the CURE™ platform, the industry’s only centralized underwriting risk environment fueled by agentic underwriting services that delivers decision-ready outcomes. It converts submissions into decisions by automating intake, triage, and data enrichment from documents and external sources while surfacing risk insights so you can win the right accounts faster, scale throughput, and reduce loss ratios. Backed by Y-Combinator, the proprietary platform serves dozens of clients across the US, enabling 85% faster underwriting, 32% increase in GWP per underwriter, and up to 700 basis points improvement in loss ratios. For details, visit pibit.ai.
Pibit.ai was founded in 2020 by Akash Agarwal (Founder).
Pibit.ai has raised $7.0M in total across 1 funding round.
Pibit.ai's investors include Alok Goyal, Arali Ventures, Y Combinator.
Pibit.ai is an insurtech startup building the fastest path from insurance submission to better underwriting decisions. At its core, Pibit.ai offers an AI-powered automation platform—centered on its CURE™ (Centralized Underwriting Risk Environment)—that transforms messy, unstructured commercial insurance submissions into clean, decision-ready files. The platform automates data intake, triage, enrichment, and risk scoring by extracting and structuring information from documents, emails, and external systems, then aligning it with carriers’ internal schemas and workflows.
Pibit.ai serves commercial property & casualty (P&C) insurance carriers and managing general agents (MGAs), helping them reduce manual underwriting work, cut turnaround times, increase policy volumes per underwriter, and improve loss ratios. The company has already achieved strong traction, serving dozens of clients across the U.S., reporting outcomes like 85% faster underwriting, a 32% increase in gross written premium (GWP) per underwriter, and up to 700 basis points improvement in loss ratios. Backed by Y Combinator and a recent $7 million Series A led by Stellaris Venture Partners, Pibit.ai is scaling rapidly with a team of over 125 employees and a clear mission: to make underwriting faster, more accurate, and above all, trusted.
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Pibit.ai was founded in 2020 by Akash Agarwal, an IIT Roorkee alumnus and former engineer at Playment (also a YC-backed AI data platform), alongside Karan Bedi. The idea emerged from a deeply personal observation: Akash grew up watching his father, an insurance agent, spend long hours buried in paperwork and manual form processing. Later, as he worked in AI and automation, he saw how technologies like computer vision and deep learning were transforming industries like autonomous vehicles—yet underwriting remained stuck in outdated, manual workflows.
That contrast sparked a simple but powerful question: *If AI can drive cars, why can’t it drive better underwriting?* This became the founding insight behind Pibit.ai. The company started by focusing on intelligent document processing, using deep learning to convert any paper-based or scanned document into structured, usable data. Early implementations with top insurance companies in India validated the core technology, reducing manual data entry and processing time. This early success laid the foundation for Pibit.ai’s evolution into a full-stack underwriting automation platform, eventually relocating its headquarters to San Francisco and joining Y Combinator’s Winter 2021 batch.
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Pibit.ai stands out in the crowded insurtech and AI automation space through a combination of product architecture, domain focus, and a human-centric design philosophy:
Pibit.ai’s platform is built around CURE™, positioned as the industry’s first centralized underwriting environment. It consolidates submissions, risk data, and underwriting rules into a single system, enabling consistent, auditable, and scalable decision-making.
Unlike generic document processors, Pibit.ai doesn’t just extract data—it enriches and qualifies submissions to be “appetite-ready.” It applies carrier-specific rules to surface only complete, in-appetite files, so underwriters see only what they need to underwrite.
The platform combines AI automation with a human-in-the-loop services layer, ensuring contextual oversight, verification, and explainability. This hybrid model builds trust and meets regulatory and audit requirements.
Pibit.ai integrates seamlessly with core policy administration systems (PAS), workbenches, and raters, automatically creating and updating records with deduplicated, schema-aligned data—reducing downstream friction.
Pibit.ai is explicitly designed to *empower* underwriters, not replace them. Its outputs are transparent, explainable, and decision-ready, giving underwriters confidence in every recommendation.
The platform has demonstrated measurable outcomes: 85% faster underwriting, 32% higher GWP per underwriter, and up to 700 bps improvement in loss ratios—metrics that directly move the needle for carriers.
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Pibit.ai is riding three powerful macro trends reshaping the insurance and enterprise software landscape:
1. The AI-Powered Enterprise Workflow Revolution:
Across industries, AI is moving beyond chatbots and analytics into core operational workflows. Pibit.ai is at the forefront of this shift in insurance, applying AI not just to customer-facing interactions but to the heart of underwriting—the process that determines risk, pricing, and profitability.
2. The Insurance Talent and Capacity Crisis:
The commercial insurance sector faces a shrinking pool of experienced underwriters at the same time that submission volumes are rising. Pibit.ai’s platform acts as a “force multiplier,” enabling fewer underwriters to handle more volume with higher quality, directly addressing this structural challenge.
3. The Shift from Legacy Systems to Modern, API-First Platforms:
Carriers are increasingly open to modern, cloud-native, API-driven solutions that integrate with legacy PAS and core systems. Pibit.ai’s architecture is built for this world, making it easier for insurers to adopt without rip-and-replace overhauls.
4. The Rise of “Trusted AI” in Regulated Industries:
In highly regulated domains like insurance, black-box AI is a non-starter. Pibit.ai’s focus on explainability, auditability, and human oversight positions it as a leader in the emerging category of “trusted AI” for underwriting—a critical differentiator as regulators and carriers demand more transparency.
By bridging the gap between cutting-edge AI and the practical realities of insurance operations, Pibit.ai is helping to transform underwriting from a manual, artisanal process into an intelligent, scalable science.
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Pibit.ai is well-positioned to become a foundational layer in the modern commercial underwriting stack. With strong early traction, a clear product-market fit in P&C insurance, and a trusted, explainable AI approach, the company is likely to expand both horizontally and vertically in the coming years.
The broader trend of AI augmenting, rather than replacing, high-value human roles will only accelerate—and Pibit.ai’s vision of AI as a “force multiplier” for underwriters is perfectly aligned with that future. As the insurance industry grapples with data overload, talent scarcity, and rising expectations for speed and accuracy, Pibit.ai isn’t just automating submissions; it’s redefining what modern underwriting looks like.
And that’s exactly what “the fastest path from submission to better decisions” really means.
Pibit.ai has raised $7.0M across 1 funding round. Most recently, it raised $7.0M Series A in November 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Nov 21, 2025 | $7M Series A | Alok Goyal | Arali Ventures, Y Combinator | Announced |
Key people at Pibit.ai.
