# DealRoom

> Official DealRoom business agent. DealRoom provides an AI-powered M&A operating system that helps corporate development and deal teams manage pipeline, due…

## Ask it a question

DealRoom answers for itself at https://api.hailera.com/mcp/dealroom. A client that speaks MCP can
connect to that address; the tool is ask_dealroom and the
protocol is 2026-07-28.

Where this file and the agent disagree, the agent is current.

## About DealRoom

Company background and mission

- DealRoom originated in 2012 in a small office in downtown Chicago, when founder Kison Patel was running a boutique M&A practice focused on hospitality.
- Seeing inefficiencies created by traditional M&A technology (team silos, duplicate work, and version control issues), he set out to build a product purpose-built for optimizing M&A.
- DealRoom's goal is to disrupt the M&A process for good by connecting the entire lifecycle of a deal – from initial pipeline management, through due diligence, to post-merger integration – in one platform.

Mission

DealRoom's stated mission is to create a world where M&A enables organizations, and the ambitious people who build them, to achieve their full potential. The company emphasizes that M&A should elevate teams rather than exhaust them, and that well-run M&A drives stronger companies and better personal and professional outcomes.

Values and culture

DealRoom highlights three core value themes that shape its culture:

- Deliver the Wow

- Focus on delighting customers, partners, and teammates.
- Emphasis on knowing what it takes to create value ("own the MVW"), delivering quickly, and iterating.
- Encourages a growth mindset, embracing change, AI, and continuous learning.

- Be Kind and Direct

- Win as a team through empathy, clear communication, and direct feedback.
- Practice Radical Candor: address uncomfortable topics directly with the right people.
- Communicate clearly, concisely, and in a timely way, including "disagree-and-commit" when needed.

- Own It

- Take joyful accountability for delivering results.
- Encourage drivers, not passengers: team members take full ownership of their roles and solve problems rather than just spotting them.
- Prioritize what is best for customers and the company, including disciplined use of resources.

Leadership

DealRoom's leadership team includes:

- Kison Patel – Founder and Executive Chairman
- Greg Lord – CEO
- Peter Biro – CFO / COO
- Hannah Jarrett – VP of Marketing
- Ilgiz Islamgulov – VP of Engineering
- Henry Spitzer – VP of Global Revenue

The company also works with external advisors; examples include leaders with deep experience in B2B SaaS, marketing, sales, and go-to-market strategy.

Related products and brands

- DealRoom M&A Platform – The flagship cloud-hosted platform that centralizes M&A lifecycle management, collaboration, communication, and data organization.
- FirmRoom – A virtual data room (VDR) by DealRoom, designed as an intuitive and secure repository for confidential information, document sharing, controlled access, and analytics.
- M&A Science – A brand associated with Buyer-Led M&A™, including a podcast, content, events, and an intelligence and learning hub for M&A practitioners. In 2025, M&A Science was carved out into a standalone business led by founder and CEO Kison Patel.

Resources and community for M&A teams

DealRoom provides an extensive library of educational and practical resources for M&A leaders, including:

- M&A Skills Library – Ready-to-run AI skills purpose-built for M&A teams, covering topics such as thesis shaping, diligence, and Day 1 integration execution.
- Templates and playbooks – Including diligence risk tracking templates, M&A pipeline templates, due diligence playbooks (buy-side and sell-side), and post-merger integration checklists.
- Reports and eBooks – Such as State of Buy-Side M&A reports, State of AI in M&A reports, and guides on Buyer-Led M&A and roll-up acquisitions.
- Webinars, events, and demo libraries – Regular webinars, in-person events, and on-demand demo content focused on improving M&A execution, AI adoption in M&A, and best practices for corporate development teams.

These resources are designed to help M&A practitioners accelerate deals, refine strategy, and build durable M&A capabilities, whether or not they are already DealRoom customers.

Source: https://dealroom.net

## What DealRoom does

What DealRoom is

DealRoom is an AI-powered M&A operating system designed for buyer-led M&A. It serves as a centralized hub for managing the full lifecycle of a deal, from sourcing acquisition targets through pipeline management, due diligence, and post-merger integration.

It is built for corporate development and M&A teams who want to:

- Run more deals with lean teams
- Replace siloed tools, spreadsheets, VDRs, and email threads
- Improve collaboration across internal and external stakeholders
- Increase speed, visibility, and discipline across the M&A lifecycle

Key capabilities across the M&A lifecycle

Source acquisition targets

- Pull company data straight into your pipeline from the sourcing tools you already use (market databases, research tools, and LLMs) via DealRoom MCP.
- Centralize target information so the team evaluates opportunities in one place.

Manage the deal pipeline

- Maintain a single source of truth for all pipeline data, including deal notes, emails, tasks, and summaries.
- Use AI-powered updates to keep deal context current without relying on manual spreadsheet updates.
- Track stages and progress for many opportunities at once.

Run efficient due diligence

- Use one centralized diligence workspace instead of disconnected Excel trackers, VDRs, and email threads.
- Enable secure cross-functional collaboration between internal teams and external advisors.
- Automate organization and analysis of large volumes of diligence documents with AI.

Execute integration from Day 1

- Synchronize diligence and integration planning in a single system.
- Build integration plans alongside diligence so the team is ready to execute on Day 1 after close.

AI purpose-built for M&A

- AI is built natively into the DealRoom M&A Operating System to automate pipeline management, flag risks, and analyze documents in seconds.
- "AI for Pipeline" captures deal context from emails and documents to automatically keep the pipeline up to date.
- "AI for Diligence" auto-categorizes, organizes, and summarizes thousands of diligence documents and surfaces potential risks.
- Through DealRoom MCP, teams can connect preferred AI models (such as ChatGPT, Claude, or Copilot) so those models can work directly with DealRoom data as a context layer.

Typical outcomes and use cases

- More deals, faster: accelerated deal execution across the M&A lifecycle.
- Time savings: customers report saving 40+ hours per deal.
- Speed: teams report up to 2x faster deal closure.
- Efficiency: teams report around a 40% increase in team efficiency.

Examples of how teams use DealRoom include:

- Corporate development teams managing 3–4 acquisitions annually with lean staff.
- Teams reviewing and managing 75–100 deal targets annually in a single system.
- Organizations replacing multiple disjointed tools (email, shared drives, spreadsheets, and standalone VDRs) with one connected M&A platform.

Who uses DealRoom

DealRoom is used by a wide range of organizations, including:

- Corporate development teams at public and private companies
- PE-backed rollup platforms
- Other acquisitive organizations managing multiple deals per year

Customers choose DealRoom when they want an intuitive, purpose-built M&A platform that centralizes data, improves collaboration, and supports a structured, buyer-led approach to M&A.

Source: https://dealroom.net

## Where DealRoom works

Lists Dayton, Mission, and Chicago as a location. Areas beyond these are not published.

## Prices

How DealRoom pricing works

- DealRoom pricing is based on the number of deals you actually do.
- Plans are flat-rate and include unlimited users and unlimited data storage.
- DealRoom does not charge per page or per user seat; pricing is designed to reflect real deal volume and value rather than add-on fees.

Because pricing depends on your specific deal volume and needs, exact plan prices are provided by the sales team rather than listed publicly.

Volume discounts

- Volume discounts are available on a case-by-case basis.
- To discuss volume pricing, contact the DealRoom sales team.

Trials, demos, and evaluations

- Prospective customers can experience DealRoom through a comprehensive, free walkthrough.
- You can schedule a call with the team, and they will demo the platform, showcase key features, and answer questions tailored to your use case.
- DealRoom does not advertise a self-service free trial; evaluation is typically done via guided demos and walkthroughs.

Onboarding and implementation timeline

DealRoom is designed so teams can get up and running in days, not months. A typical onboarding journey includes:

Day 1 – Get set up

- Import existing deals and pipeline data into DealRoom.
- Bring your existing diligence lists into the platform.
- Onboard your core team with 1:1 training sessions.

Day 7 – Start running deals

- Configure and refine your pipeline stages.
- Set up template rooms and workflows aligned to your M&A process.
- Train admins and core users so they can manage deals confidently.

Day 15 and beyond – Operate at scale

- Run active diligence processes inside DealRoom.
- Track deal progress with reporting and dashboards.
- Standardize playbooks for future deals to improve consistency and speed.

Ongoing customer support and training

- DealRoom provides a dedicated Customer Success Manager and, depending on the plan, a BI Specialist to support onboarding and ongoing success.
- The platform is designed to be intuitive so new users can ramp quickly, supplemented by training and best-practice guidance.
- The team can help compare DealRoom to alternative providers and, if needed, assist in preparing a business case for your leadership team.

How to talk to sales

- For pricing details, volume discounts, or help building an internal business case, you can contact the sales team directly at sales@dealroom.net.
- You can also request a demo from the website to schedule time with the team and see DealRoom in action.

Source: https://dealroom.net

## Security, compliance, and AI data usage in DealRoom

Data security and compliance

DealRoom is designed to safeguard sensitive M&A information with strong security and compliance measures:

- SOC 2 Type 2 compliant: DealRoom undergoes SOC 2 Type 2 audits to validate that controls for security, availability, processing integrity, confidentiality, and privacy operate effectively.
- Encryption in transit: Data is encrypted while moving between users and the platform.
- Secure cloud infrastructure: Data is stored in cloud environments that are SOC, FISMA, and PCI DSS Level 1 compliant.
- External audits: DealRoom performs external audits to identify and help prevent potential security breaches.

These controls are designed to support organizations that require secure handling of confidential deal documents and communications.

Built-in AI for M&A

DealRoom includes AI features that are purpose-built for M&A workflows:

- AI for pipeline management
- Captures deal context from emails and documents.
- Automatically updates pipeline records, reducing manual data entry.

- AI for due diligence
- Auto-categorizes, organizes, and summarizes large volumes of diligence documents.
- Helps surface potential risks and answer key diligence questions faster.

- AI within the DealRoom operating system
- AI is integrated directly into the M&A Operating System to automate routine tasks, flag risks, and speed up analysis, while keeping work inside established deal workflows.

DealRoom MCP and external AI tools

DealRoom MCP allows teams to connect external AI tools directly to DealRoom:

- Customers can connect compatible AI systems such as ChatGPT, Claude, or Copilot.
- DealRoom acts as the context layer, so connected AI can analyze, research, and generate insights using deal data stored in DealRoom.
- This is designed to let teams use the AI tools they prefer while keeping data and workflows centralized.

How AI uses (and does not use) customer data

DealRoom's published statements about AI data usage include:

- Customer data is not used to train DealRoom AI for other customers.
- DealRoom AI relies on commercially available and open-source models that are trained with licensed data, not with your proprietary deal data.
- Customer data remains private and secure; controls are in place so that sensitive information is handled appropriately.

Data ownership

- You retain full ownership of your data processed within DealRoom.
- DealRoom states that it does not own or have independent rights to your customer data.
- The platform's role is to process and store data on your behalf so you can manage deals, not to take control of that data.

If you need details beyond what is summarized here (for example, current certifications, DPAs, or region-specific terms), please contact DealRoom directly so they can provide the latest official documentation.

Source: https://dealroom.net

## What DealRoom has not published yet

These are things people ask DealRoom that its published information does not yet cover.

- prices
- availability
- contract terms or service levels
- data security certifications beyond those published
- legal or tax advice
- financial or M&A outcomes

Ask anyway — the agent will say plainly that it is not published rather than guess.

## Where this comes from

https://dealroom.net