Abhishek Sharma
Founding Investor @ Quolum
San Francisco, United States
Abhishek Sharma is a seed investor at Quolum in San Francisco focused on Software and Artificial Intelligence. Abhishek is a day 1 partner to ultra-ambitious software & AI pioneers. He specializes in helping startups develop GTM motion around bottom-up product adoption and product-led growth/sales. He works with over a dozen commercial OSS and freemium companies. Abhishek loves partnering with first-time technical founders. His investments includeApollo.io, Gumloop, Fingerprint, Bolt.new, Orkes, Neuron7.ai, Browser Use, Nx, Clover Health, OpenObserve, Sibros, Ultrahuman, Hasura, and more.
- Total investments:
- 58
- Last investment:
- Lead investor:
- 55%
Last updated:
For AI agents: llms.txt
Industries Abhishek Sharma invests in
Stages Abhishek Sharma invests in
Countries Abhishek Sharma invests in
Investment Focus
Industry
- Software 10 (17%)
- Artificial Intelligence 5 (9%)
- Information Technology 4 (7%)
- SaaS 3 (5%)
- Computer 2 (3%)
Stage
- Seed 13 (22%)
- Series A 12 (21%)
- Series B 7 (12%)
- Pre-Seed 2 (3%)
- Series C 2 (3%)
Country
- United States 15 (26%)
- India 1 (2%)
- Canada 1 (2%)
- Switzerland 1 (2%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
Naive
|
Naïve provides infrastructure for AI agents and applications, including compute, databases, identity, payments, communications, model routing, and tool integrations. Its platform enables users to deploy AI agents, build and host applications, automate business operations, and manage agent permissions, spending, credentials, and workflows through aunified infrastructure layer. | $28.5M / Series A / Aug 07, 2026 | |
Daloopa
|
Daloopa develops an AI-powered financial data infrastructure designed to automate the extraction and organization of information from financial reports, investor presentations, earnings transcripts, and other public filings. The platform is used by investment firms, banks, hedge funds, and corporate finance teams to support financial modeling,research, and due diligence workflows. Its tools integrate with Excel and provide structured financial datasets with linked source references, allowing analysts to trace data back to original filings and disclosures. Daloopa also supports AI and large language model workflows by supplying structured and auditable financial data across thousands of global public companies. The company’s offerings focus on reducing manual data entry and helping financial teams update models, monitor disclosures, and analyze company performance more efficiently. | $47M / Series C / May 28, 2026 | |
OpenObserve
|
OpenObserve provides an open-source observability platform for monitoring logs, metrics, and traces in a unified system. The company develops software that supports data ingestion, querying, visualization, and alerting, helping teams analyze system performance and troubleshoot issues across distributed applications. Its platform is built on acolumnar storage architecture and integrates with standards such as OpenTelemetry, allowing compatibility with existing infrastructure and data pipelines.OpenObserve also includes capabilities for dashboards, real user monitoring, and incident management, supporting both development and operations workflows. The system can be deployed in self-hosted or cloud environments and is designed to scale across large data volumes using stateless architecture and distributed processing. | $10M / Series A / Apr 29, 2026 | |
Orkes
|
Orkes provides a cloud-based platform for orchestrating workflows across microservices, APIs, and distributed systems, enabling developers to manage complex application processes and integrations. Its platform is built on the open-source Conductor project and delivers a managed service that supports workflow execution, event-driven architectures,and long-running processes. The system includes capabilities such as workflow modeling, state management, monitoring, and access control, which help track executions and maintain operational reliability. It also supports integration with various programming languages, cloud environments, and external services, allowing teams to define workflows as code and coordinate business logic across systems. Additionally, the platform incorporates features for observability and governance, offering visibility into workflows and tools to manage performance, errors, and system behavior in production environments. | $60M / Series B / Apr 23, 2026 | |
Gumloop
|
Gumloop is a no-code platform to build and host AI-powered business automations. | $50M / Series B / Mar 12, 2026 | |
QFEX
|
QFEX is the 24/7 exchange for traditional financial markets. We let you trade US equities, commodities and FX pairs with (or without) leverages of up to 50x. On QFEX, UX comes first: brokerless market access, seamless integration with traditional payment rails, and ultra-efficient Perpetual Futures offered over all asset classes. Trading hasnever been simpler or cheaper than with QFEX.Founded by Quants and Engineers from Citadel & Tower Research who saw an opportunity to make markets how they always should have been, QFEX will eventually replace the entire $100 billion exchange and clearing industry. | $9.5M / Seed / Mar 05, 2026 | |
Multifactor
|
Multifactor provides secure identity management with authentication, authorization, and auditing using strong cryptography. It provides a secure account-management and access-sharing platform designed for both humans and AI agents. The service functions as a “vault” for passwords, passkeys, 2FA codes, and other authentication materials, enablingusers to store all their login credentials in one secure place. | $15M / Seed / Dec 04, 2025 | |
Icarus
|
One Kappa automates threat detection and response for weather-sensitive businesses. Our Machine Learning model clusters aggregated open-source and proprietary data. Through our AI, we instantly detect weather-related threats and generate recommendations to improve operational decisions and risk management.We’re introducing a platform shift in theweather services industry with a better, faster, and cheaper solution to power our operations platform. We do so by flying solar-powered fixed-wing drones in the stratosphere to capture high-resolution data. Our suite of sensors enables industry-specific solutions. | $500K / Pre-Seed / Dec 03, 2025 | |
Ember Copilot
|
Ember Copilot is a Software Development firm offering a tool to reduces medical claim denials. | $4.3M / Seed / Nov 19, 2025 | |
Firecrawl
|
Firecrawl converts websites into clean, AI-ready data through a unified API. It provides functionality to crawl entire websites or scrape individual pages, returning outputs in markdown, structured data (JSON), HTML, screenshots, and more. It handles dynamic content, JavaScript-rendered pages, proxies, rate limits, and caching behind the scenes tosimplify integration for developers. It supports integrations with popular AI frameworks and tools, including LangChain, LlamaIndex, and Zapier, offering flexible usage across different environments. | $14.5M / Series A / Aug 19, 2025 | |
| See all 58 investments → | |||
Co-Investors
About Quolum
Quolum SaaS Card. It is a business expense card, which ensures money is only spent on SaaS purchases. Tracks expenses, and utilization in ways other payment instruments cannot.
Quolum Contacts
| Name | Phone | Socials | |
|---|---|---|---|
|
Abhishek Sharma
Founding Investor
|
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Indus Khaitan
CEO and Founder
|
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Manish Dixit
Angel Investor
|
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2 more contacts available
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FAQ
What does Abhishek Sharma invest in?
Abhishek Sharma invests primarily in Software, Artificial Intelligence and Information Technology startups, most often at Seed and Series A stage. Most of the 58 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
When did Abhishek Sharma last invest?
The most recent investment recorded for Abhishek Sharma closed in Aug 2026. Shizune tracks 58 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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