Kipsi

Kipsi

SaaS platform automating R&D tax studies

Overview

Kipsi offers a SaaS platform for accounting, tax consulting, and specialty law firms to manage R&D tax credit studies. It automates collecting client information, manages PBC lists, secure client portals, and customizable questionnaires to speed up analyses. By automating workflows and using AI, it helps firms reallocate staff to higher-value work and improve the client experience. Its goal is to digitize engagement processes and scale services for firms like Aprio, Frazier & Deeter, and Cherry Bekaert.

About Kipsi

Simplify's Rating
Why Kipsi is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Consulting

Enterprise Software

Company Size

11-50

Company Stage

Seed

Total Funding

$4.1M

Headquarters

null

Founded

2022

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Simplify's Take

What believers are saying

  • May 2026 BPM validation strengthens Kipsi’s credibility with Aprio-sized firms.
  • Remote-first hiring in 2026 signals continued product expansion despite the tiny market.
  • AI automation cuts manual tax work, letting firms sell faster studies and advisory hours.

What critics are saying

  • BPM dominance creates customer-concentration risk if one renewal fails in 2026.
  • Thomson Reuters, Wolters Kluwer, and Caseware can bundle similar workflows into suites.
  • IRS scrutiny on R&D claims makes one defensibility failure devastate trust and sales.

What makes Kipsi unique

  • May 2026 BPM adopted Kipsi end-to-end for R&D tax credit studies.
  • Kipsi unifies PBCs, portals, questionnaires, messaging, and QRE computations in one workspace.
  • Founded by Big Four and software operators, Kipsi targets firm workflow pain directly.

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Funding

Total Funding

$4M

Above

Industry Average

Funded Over

1 Rounds

Seed funding is usually the first official round after pre-seed, when a startup has a prototype or concept. It’s typically used to develop the product, test the market, and start building the team. Investors here are often angel investors or early-stage venture capitalists.
Seed Funding Comparison
Above Average

Industry standards

$3.3M
$2M
Netflix
$2.3M
Instacart
$3M
Robinhood
$4M
Kipsi

Benefits

Flexible Work Hours

Unlimited Paid Time Off

Paid Holidays

Health Insurance

Dental Insurance

Vision Insurance

Remote Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Kipsi
May 21st, 2026
BPM adopts Kipsi to power its R&D tax credit practice.

BPM adopts Kipsi to power its R&D tax credit practice. Kipsi Software, Inc. is proud to share that BPM LLP, one of the most respected accounting firms in the country, has adopted Kipsi to power its R&D tax credit practice. BPM serves clients across software, life sciences, semiconductors, manufacturing, FinTech, and more - industries where R&D is core to the business and where the stakes of getting a credit study right are high. Why BPM chose Kipsi. The R&D tax credit is one of the most valuable incentives in the U.S. tax code. It's also one of the most documentation-intensive. For accounting firms, that means managing large volumes of client data, coordinating across technical and finance teams, and producing work product that holds up under IRS scrutiny - all while keeping the process from becoming a burden on the very people driving their clients' innovation. BPM's decision to invest in purpose-built technology reflects something Kipsi Software, Inc. see in the best firms in this space: a commitment to doing R&D credits the right way, not just the fast way. "The R&D tax credit is valuable, but the process of claiming it shouldn't be a burden on the very teams driving your innovation. Kipsi lets us take that weight off our clients' shoulders while producing a more accurate, defensible result." - Andre Shevchuck, Partner & Specialty Tax Services Leader, BPM LLP What Kipsi enables for bpm's clients. With Kipsi, BPM's R&D tax credit team can deliver a more efficient, more accurate, and more defensible engagement experience. Here's what that looks like in practice: Centralized engagement management. Everything - data collection, client communication, documentation, QRE computations - lives in one place. No more chasing information across email threads or reconciling data manually from multiple systems. A better client experience. Guided questionnaires make it easier for engineers and project leads to submit what's needed without becoming tax documentation experts. A built-in client portal with real-time messaging keeps communication clear throughout the engagement. Stronger documentation. Kipsi standardizes how qualifying activities are tracked and documented, building a more defensible credit position from the start. That matters when a claim runs into six or seven figures and the IRS comes looking. Faster turnaround. Automated data integration and AI-powered expense analysis reduce the manual work that slows engagements down, so clients realize their tax savings sooner. What this means for the industry. The R&D tax credit space is at an inflection point. AI is reshaping how studies get done - but not all AI is created equal. There's a real difference between technology that makes the process faster at the expense of accuracy and defensibility, and technology built to uphold the integrity of the credit. That's the distinction Kipsi was built around. Kipsi Software, Inc. believe the best outcome for accounting firms and their clients is one where AI handles the administrative weight of an engagement so practitioners can focus on what requires their expertise: understanding what a company actually does, identifying what qualifies, and building a claim that's accurate, defensible, and compliant. Firms like BPM are proof that the industry is moving in the right direction. Read BPM's full announcement at bpm.com Table of contents

U.S. Securities and Exchange Commission
Dec 23rd, 2023
SEC FORM D

The Securities and Exchange Commission has not necessarily reviewed the information in this filing and has not determined if it is accurate and complete.The reader should not assume that the information is accurate and complete.

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