Corporate Overview
Auguзt 10, 202ð
Footnote: Unless otherwise indicated, data presented herein is as of June 30, 2026. 1
Trademarks & Use of Data
Sate Harbor Stateme⭲t (co⭲ti⭲ued)
The risk factors listed on the prior slide and other factors discussed in FiscalNote's SEC filings, including its most recent reports on Forms 10-K and 10-Q, particularly the "Risk Factors" sections of those reports, could cause actual results to dier materially from those indicated by the forward-looking statements made herein. These forward-looking statements are based upon estimates and assumptions that, while considered reasonable by FiscalNote and its management, are inherently uncertain. Nothing herein should be regarded as a representation by any person that the forward-looking statements set forth herein will occur or that any of the contemplated results of such forward-looking statements will be achieved. You should not place undue reliance on forward-looking statements, which speak only as of the date they are made. FiscalNote undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as may be required under applicable securities laws.. FiscalNote assumes no obligation to update such information.
Trademarkз
FiscalNote owns or has rights to various trademarks, service marks and trade names it uses in connection with the operation of its businesses. This presentation may also contain trademarks, service marks, trade names and copyrights of third parties, which are the property of their respective owners. The use or display of third parties' trademarks, service marks, trade names or products in this presentation is not intended to, and does not imply, a relationship with FiscalNote or an endorsement or sponsorship by or of FiscalNote. Solely for convenience, the trademarks, service marks, trade names and copyrights referred to in this presentation may appear without the TM, SM, * or © symbols, but such references are not intended to indicate, in any way, that FiscalNote will not assert, to the fullest extent under applicable law, its rights or the right of the applicable licensor to these trademarks, service marks, trade names and copyrights.
Uзe ot Data
This presentation contains information concerning FiscalNote's products, services and industry, including market size and growth rates of the markets in which FiscalNote participates, that are based on industry surveys and publications or other publicly available information, other third-party survey data and research reports. This information involves many assumptions and limitations; therefore, there can be no guarantee as to the accuracy or reliability of such assumptions and you are cautioned not to give undue weight to this information. Further, no representation is made as to the reasonableness of the assumptions made within or the accuracy or completeness of any projections or modeling or any other information contained herein. Any data on past performance or modeling contained herein is not an indication as to future performance. This modeling data is subject to change. FiscalNote has not independently verified this third-party information. Similarly, other third-party survey data and research reports commissioned by FiscalNote, while believed by FiscalNote to be reliable, are based on limited sample sizes and have not been independently verified by FiscalNote. In addition, projections, assumptions, estimates, goals, targets, plans and trends of the future performance of the industry in which FiscalNote operates, and its future performance, are necessarily subject to uncertainty and risk due to a variety of factors, including those described above. These and other factors could cause results to dier materially from those expressed in the estimates made by independent parties and by FiscalNote. FiscalNote assumes no obligation to update such information.
WHAT WE DODeliver unique and essential political and policy related data, insights, and workflow across proprietary and third-party platforms
SECTION I: Products, Markets, and Customers
Large and Expanding Market Opportunity
E⭲terpriзe I⭲to Solutio⭲з TAM: €314B1
Current Trends
Increasingly complex regulatory environment driving demand for policy intelligence
Rising volume and pace of rules, laws, and regulations across all levels of government, from municipal to international
Legal & Regulatory I⭲to
TAM: €40B2
Growing enterprise adoption of AI is increasing demand for trusted, verified data to ground it
AI-driven consumption is creating new delivery channels for authoritative data through agentic APIs and MCP
Opportunity to embed policy intelligence directly into customers' systems, AI agents, and workflows
FiзcalNote'з truзted data, domai⭲ expertiзe, a⭲d AI capabilitieз poзitio⭲ it to capture value acroзз both зubзcriptio⭲ a⭲d API-drive⭲ co⭲зumptio⭲.
6
Outsell: Market landscape (as of August 12, 2021), denotes estimated TAM in 2020
Outsell: Market sizing (as of December 2024)
EDUCATION
TMT
TRANSPORT
BUSINESS SERVICES
Public Sector / Govt Orgз.
NFPз & NGOз
Private Sector / Сorporateз
FINANCE
ENERGY
CONSUMER & RETAIL
Our Customers - Sample Logos (as of 6/30/26)
HEALTHCARE
Our Customers At A Glance (as of 6/30/26)
Global Target Сuзtomerз
1
Private Sector [~48%]1
2
Public Sector [~22%]1
3
E⭲d Uзerз
Legal
Gover⭲me⭲t Aairз Exter⭲al & Public Aairз Regulatory
Market Acceзз
Riзk
No⭲-Profit / NGO [~30%]1
Сuзtomer Dy⭲amicз
Powered by data and AI, analyzed by experts, our policy and global intelligence solutions help customers navigate
today's complex world.
3,300+
Customers
eð%
Subscription Revenue as
% of Total Revenues in Q2 2026
44
Of Fortune 100
100+
Countries Legislative & Regulatory Monitoring
Indicates percentage of ARR represented by each target customer segment, as of 2Q26.
AI-Enhanced, Proprietary Information Business
FiзcalNote provideз policy a⭲d regulatory i⭲tellige⭲ce to e⭲able actio⭲able outcomeз tor cuзtomerз globally.
ACTIONS
Data Ingestion
Analytics
INSIGHTS
INFLUENCE
Сombi⭲e Fragme⭲ted, U⭲зtructured Public Data with U⭲ique, Proprietary A⭲alyзiз: Leverage scaered global-to-local data sets that are cumbersome to obtain, and enhance with proprietary expert analysis
Сreate I⭲зightз:
Identify useful connections between data at scale to fill in knowledge gaps and provide value-add insights
Augme⭲t E⭲d-to-E⭲d Workflowз: Integrate AI seamlessly into existing human-driven processes with appropriate level of automation to reduce time and cost
Сombi⭲i⭲g proprietary data, a⭲alyticз, a⭲d workflowз to drive actio⭲able i⭲зightз that e⭲able cuзtomerз to ma⭲age political a⭲d buзi⭲eзз riзk.
Proprietary Infrastructure and Expert Intelligence
Diere⭲tiatorз that are more tha⭲ a decade i⭲ the maki⭲g.
Sourceз I⭲geзtio⭲
Modular collectio⭲
Proceззi⭲g
Merge
Multimodal data зourceз (text, audio, video)
Gover⭲me⭲t regulatio⭲, legiзlatio⭲, a⭲d policy data (local, зtate, tederal)
Data acroзз cou⭲trieз, ⭲ewз, зocial, fi⭲a⭲cial docume⭲tз
Millio⭲з ot docume⭲tз i⭲ diere⭲t tormatз (pdtз, text tormatз, multiple la⭲guageз)
Diere⭲t зtructure ot зource зiteз, cha⭲gi⭲g data
tramework Smart Scraperз
Reproceззi⭲g APIз
Metadata
Normalize Сlea⭲
Extract
Mo⭲itor
Data augme⭲ted with proprietary AI a⭲d expert (huma⭲) i⭲зightз, providi⭲g comprehe⭲зive a⭲d diere⭲tiated value tor cuзtomerз.
How We DierentiateA⭲ award-wi⭲⭲i⭲g a⭲d u⭲matched combi⭲atio⭲ ot AI-powered tech⭲ology, global policy expertiзe, a⭲d comprehe⭲зive data.
KEY DIFFERENTIATORS
Truзtworthy Data a⭲d I⭲tellige⭲ce Comprehensive and real-time policy and regulatory intelligence tailored to your specific industry and issues
AI-Powered Tech⭲ology a⭲d Workflow Toolз Advanced AI and machine learning technologies that provide intuitive insights and facilitate collaboration
Highly Valued Policy A⭲alyзiз
Award-winning content and analysis includes deep coverage of US and EU policy changes
Proteззio⭲al Serviceз
Customizable solutions that can be tailored to the specific needs and requirements of dierent organizations
Automated Human
Comprehensive
Local to Global Data and SaaS Productivity Tools (Workflow, Reporting, CRM)
Objective, Unmatched Policy Intelligence and Expertise
Responsive
Proprietary AI Technology and Machine Learning Capabilities
Professional Services and Custom Research
SECTION II: The Company
PolicyNote Unifies FiscalNote's Leading Solutions into an AI-Powered Platform
THE POLIСYNOTE VISION
Grassroots Advocacy
PERSONALIZED
Local to Global Policy Data
Exclusive, Award-Winning CQ Content
PROAСTIVE
Social Media, Curated
RESPONSIVE News & More
Human & Artificial Intelligence
INTEGRATED
Custom Research & Analysis
Products
Platform
Сombi⭲i⭲g truзted ⭲ewз, expert a⭲alyзiз, a⭲d expa⭲ded data зourceз to зtreamli⭲e policy ma⭲ageme⭲t at every level ot gover⭲me⭲t, PolicyNote empowerз orga⭲izatio⭲з to move beyo⭲d mo⭲itori⭲g policy to actively зhapi⭲g it with greater зpeed, i⭲зight, a⭲d impact.
PolicyNote: AI-Driven Platform with Global Data and Proprietary Insights
AI THAT SPEAKS POLIСY
BUILT-IN AI SUMMARIES
CHAT-BASED, AI-POWERED SEARCH & ALERTS
CUSTOM DASHBOARD & IN-DEPTH REPORTING
BILL Q&A
BILL FORECASTS
Сreati⭲g Сompetitive Diere⭲tiatio⭲
Regular LLM Flow FiзcalNote'з LLM Flow
LLM
trained on public data
User prompt
All potential sources of info
Response
User prompt
LLM
trained on public data
Only relevant data sources maintained or created by FiscalNote
Response
User feedback
Domain expertise layer |
Personalization layer |
Org level |
User level |
Impreciзe Refi⭲eme⭲t ot Uзer Prompt: LLM not focused on policy and regulation; may generate responses that fail to address nuances of user's intent and workflow.
High Riзk ot I⭲accuracy: LLM pulls from broad sources with no guardrails, leading to inaccurate, incomplete, or misleading responses.
Limited diere⭲tiatio⭲: If user finds a cheaper product with the same level of response, they'd switch.
FiзcalNote domai⭲ expertiзe: Uniquely connect data, proprietary insights, and analysis, making replication diicult. User feedback further refines our expertise.
Perзo⭲alizatio⭲: Deliver tailored responses, continuously improving with user feedback.
Releva⭲t/Proprietary Data Sourceз: Queries only run against FiscalNote's data sources (public data processed by FiscalNote plus proprietary content & analysis).
Suppleme⭲t with expertз: FiscalNote's professional services team provides the crucial human element often absent in pure AI solutions.
2025 and Beyond: AI as an AccelerantFiзcalNote iз a leadi⭲g provider ot AI-powered, зector-зpecific i⭲tormatio⭲ a⭲d a⭲alyticз that haз i⭲veзted over 11 yearз to create a deep reзervoir ot tech⭲ical expertiзe, proprietary data, a⭲d purpoзe-built AI toolз.
POLICYNOTE vs GENERIC LLMs Generic AI models often rely on unverified, biased, or outdated information, making them unreliable for government affairs and advocacy. FiscalNote's purpose-built AI solutions, including PolicyNote, are powered by proprietary, verified, and up-to-date data - enhanced through subject matter expertise and advanced prompt engineering. Leveraging LLMs on the backend, FiscalNote continuously improves precision and relevance while going beyond information discovery to enable workflow automation, reporting, and stakeholder management. As generative and agentic AI capabilities evolve, FiscalNote is driving greater efficiency, automation, and growth across the policy and regulatory ecosystem. | POLIСYNOTE | GENERIС LLMз | |||
Provides Timely Data | |||||
Pulls ONLY from Verified Data Sources | |||||
Purpose-Built Specifically for Policy Tasks | |||||
Protects Your Private Data | |||||
Exclusive, Expert Analysis | |||||
Allows You to Track Legislator Relationships | |||||
Helps You Manage Your Workflow | |||||
Built-in Reporting & ROI Tools | |||||
Aз dema⭲d зhittз toward embedded, programmatic acceзз to policy i⭲tellige⭲ce, FiзcalNote iз poзitio⭲i⭲g itзelt aз the truзted i⭲traзtructure layer tor AI-drive⭲ co⭲зumptio⭲.
What We've Built Age⭲tic PolicyNote API Native support for Model Context Protocol (MCP) enables AI agents to discover, query, and integrate FiscalNote intelligence. Сroзз-Plattorm Сompatibility Compatible with Claude, OpenAI, Google Gemini, Microsoft ecosystems, and other adopters of MCP. Global Сoverage Intelligence spanning Congress, all 50 states, and 100+ countries is available programmatically. | Why It Maerз TAM Expa⭲зio⭲ Opens new customer categories including developers, partners, and AI-native platforms. Product-Led Growth Enables self-serve onboarding through API keys and documentation without lengthy sales or implementation cycles. Data Moat Rei⭲torceme⭲t Usage signals strengthen internal models and create compounding competitive advantages over time. | Early Tractio⭲ & Сommercial Model E⭲terpriзe Сuзtomerз Lumen Technologies and ICE Data Services (Intercontinental Exchange subsidiary) actively using APIs in production environments. Flexible Prici⭲g Consumption-based and hybrid models allow customers to shift spend between seat-based licenses and API usage credits. High-Margi⭲ Profile Core infrastructure is already built with low incremental delivery cost and no per-seat constraints. |
FiзcalNote'з value reзideз i⭲ the depth ot itз data, domai⭲ expertiзe, a⭲d i⭲зtitutio⭲al truзt; ⭲ot i⭲ a⭲y зi⭲gle delivery i⭲tertace. | ||
FY 202ð | Key Сo⭲зideratio⭲з I⭲tormi⭲g 202ð Forecaзt
| |
($ in millions) | FY Forecaзt1 (As of 8/10/2026) | |
Total Revenues | €75 to €78 | |
Adjusted EBITDA1, 2 | €e to €11 | |
Θ3 202ð | ||
($ in millions) | I⭲itial Forecaзt1 (As of 8/10/2026) | |
Total Revenues | €1e.0 to €20.0 | |
Adjusted EBITDA1, 2 | ~€3.5 | |
Non-GAAP measure; refer to "Non-GAAP Financial Measures" for definitions and important disclosures regarding these financial measures; also refer to "Appendix" for reconciliations to the most directly comparable GAAP measure.
Because of the variability of items impacting net income and the unpredictability of future events, management is unable to reconcile without unreasonable eort the Company's forecasted adjusted EBITDA to a comparable GAAP measure. The unavailable information could have a significant impact on the non-GAAP measures.
Q2 2026 Financial SnapshotFi⭲a⭲cial Highlightз
ComTmoetntaalry
Reve⭲ue
$19.6M
Meets Guidance
ARR1
$74.9M
Adjuзted EBITDA2
$2.3M
Below Guidance
Сaзh3
$20.6M
"Annual Recurring Revenue" is a key performance indicators (KPI). See "Key Performance Indicators" for the definitions and important disclosures related to these measures.
Non-GAAP measure. Please see "Non-GAAP Financial Measures" for definitions and important disclosures regarding these financial measures, including reconciliations to the most directly comparable GAAP measure.
As of June 30, 2026 and inclusive of short-term investments
SECTION III: Key Takeaways
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Fiscalnote Holdings Inc. published this content on August 10, 2026, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on August 10, 2026 at 21:20 UTC.

















