Resolvd is a technology company.
Resolvd automates the manual workflows that slow down your supply chain, eliminate backlogs, cut contractor costs, and ensure operational excellence.
Resolvd has raised $2.0M across 1 funding round.
Resolvd has raised $2.0M in total across 1 funding round.
Resolvd has raised $2.0M in total across 1 funding round.
Resolvd's investors include Dharmesh Shah, Robert Muñoz.
Resolvd AI is an enterprise AI platform that deploys autonomous AI agents as digital team members to automate complex back-office workflows, particularly in supply chain, procurement, accounts payable (AP), and data reconciliation for health systems.[1][3] It serves large enterprises, especially in healthcare, by solving "swivel chair" operations—manual tasks across siloed systems like email, spreadsheets, Outlook, Excel, Workday, PeopleSoft, and Epic—eliminating backlogs, reducing contractor costs, recovering lost revenue, and ensuring compliance without requiring APIs or system overhauls.[1][3] With $1.6 million in recent pre-seed funding and early adoption by major US health systems (e.g., a top-5 trauma center and regional systems), Resolvd demonstrates strong growth momentum, replacing multiple contractors, cutting AP backlogs by significant margins, and achieving high accuracy in invoice/PO reconciliation (near 100%).[1][3][4]
Resolvd AI was founded by Ananth Manivannan, whose background drives the company's focus on cognitive execution for enterprise operations.[1] The idea emerged from addressing persistent challenges in data reconciliation and "judgment-heavy" back-office work between legacy systems, evolving into a platform that acts as an AI-driven operating system for these processes.[1][3] Early traction came quickly with major US health systems onboarding post a $1.6 million pre-seed round, including testimonials of immediate ROI—like replacing three AP contractors in the first month and recovering lost revenue from non-file billing errors—validating the pivot to healthcare as a beachhead before broader expansion.[1][3][4]
(Note: A separate entity, RESOLVD LTD, registered in Bromley, England in late 2024, appears unrelated based on its basic company filing with no operational details matching this AI firm.[6] Other minor references, like a task manager app [5] or incident platform [2], describe distinct products and are not corroborated as the primary Resolvd AI.)
Resolvd rides the enterprise AI agent wave, targeting the $100B+ back-office automation market where legacy systems create massive inefficiencies—especially in healthcare, amid labor shortages, rising costs, and regulatory demands.[1][3] Timing is ideal post-2023 AI breakthroughs (e.g., multimodal models enabling agentic workflows), as health systems face supply chain disruptions and AP backlogs amplified by post-pandemic pressures.[1][3] Market forces like agentic AI adoption (from OpenAI's o1 to enterprise tools) and no-code integration trends favor Resolvd, bridging siloed data without heavy IT lifts.[1] It influences the ecosystem by proving AI can handle "swivel chair" judgment work, paving the way for universal back-office OS platforms and reducing reliance on human contractors across industries.[1]
Resolvd is primed to dominate healthcare back-offices within 3-5 years, evolving into a full-suite platform for supply chain, procurement, and finance—becoming a core "digital workforce" component.[1] Key trends like advancing agentic AI, multimodal data handling, and vertical AI specialization will accelerate this, with expansion into adjacent sectors proving its model.[1] Its influence could grow by setting standards for compliant, executable automation, transforming enterprise ops from reactive to cognitive—echoing its origin in solving unglamorous but critical swivel-chair drudgery into a multi-billion opportunity.[1][3]
Resolvd has raised $2.0M across 1 funding round. Most recently, it raised $2.0M Seed in August 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Aug 1, 2025 | $2.0M Seed | Dharmesh Shah, Robert Muñoz |