Intapp | Intelligence Applied
Intapp (Integration Appliance, Inc.) · Other
Intapp DealCloud is an AI deal and relationship intelligence platform for private capital, investment banking, legal, and accounting firms. It combines CRM, pipeline tracking, and agentic AI.
About Intapp | Intelligence Applied
What Is Intapp DealCloud
DealCloud is Intapp's deal management platform, and it doubles as a relationship intelligence layer for firms whose revenue comes from relationships: private capital funds, investment banks, law firms, accounting firms, and consultancies. It holds contacts, companies, deals, matters, funds, and engagements in one system, then layers AI on top to point at the next conversation worth having.
The problem it solves is fragmented memory. A partner retires and the relationship history goes with them. A pitch team rebuilds the same company profile for the fourth time. A fundraiser can't tell which limited partner was last contacted. DealCloud keeps that record in one place and captures much of it automatically from email and calendar.
The limits matter too. This is enterprise software sold through sales teams, with no public price list and no self-serve signup. Expect an implementation project, a configuration owner inside the firm, and a budget that reflects seat count plus data feeds.
Getting Started
- Talk to Intapp sales and scope which teams will use the platform first, since a firmwide rollout in one pass rarely works.
- Connect Microsoft 365 or Outlook so email and meetings start flowing into activity records.
- Load your contacts, companies, and live deals, then map them onto an industry blueprint instead of building objects from scratch.
- Configure pipelines, approval steps, and permissions to match how your firm runs origination and diligence.
- Train teams on search, reporting, and the AI assistant, then review adoption after the first quarter.
Product Information
A quick look at Intapp | Intelligence Applied's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Private capital deal teams
- Investment banking coverage teams
- Law firm and accounting business development groups
Tasks
- Running a live pipeline
- Capturing client meetings without data entry
- Preparing for investment committee or a pitch
- Mapping relationships across a client account
Scenarios
- Replacing a patchwork of systems
- Fundraising and investor relations
- Cross-selling across practice areas
Key features
Relationship intelligence and relationship maps
DealCloud scores each relationship by strength and momentum, then draws maps across partners, bankers, investors, and clients. You see the warm path into an account instead of guessing who worked with them last. Outcome attribution ties closed mandates and revenue back to the relationships that produced them, which is the part most CRMs skip.
Zero-entry activity capture from Outlook
The Outlook add-in logs emails, meetings, and attachments and creates contact and company records under rules your firm sets. AI summarization turns a long thread into a short summary with next steps. The practical effect is that the CRM fills itself, and deal teams stop treating data entry as a separate job.
Configurable deal, matter, and fundraising workflows
Workflows cover origination, diligence, approvals, and execution, with rule-based automation for tasks and escalations. Role-based permissions and audit trails keep sensitive mandates separated inside one firm, which is the requirement that usually kills generic CRM rollouts at regulated firms.
Industry data model and built-in enrichment
Prebuilt structures for deals, matters, funds, and engagements mean less custom build. Intapp Data enriches profiles with firmographic data on more than 14 million companies and 200 million contacts, and third-party feeds from Preqin, PitchBook, and FactSet populate market fields automatically.
Conversational AI over firm data
Users ask questions in plain English and get answers drawn from the firm's own DealCloud records. That matters for partners who won't build a report but will type a question. Access follows existing permissions, so the assistant doesn't widen who can see what.
Agentic AI playbooks
Prebuilt playbooks run multi-step tasks, and Intapp Celeste adds firm-level AI that assembles meeting briefings from CRM records, interaction history, open tasks, and recent company news. The pitch is less time spent assembling context before a meeting, not a replacement for judgment.
Pros and cons
Pros
- Built for relationship-driven firms rather than retrofitted from a sales CRM
- Enrichment from Preqin, PitchBook, and FactSet saves hours of manual research
- Activity capture removes most manual logging, which is where CRM projects usually fail
- Compliance features such as ethical walls, audit trails, and regional hosting fit regulated industries
- AI features read the firm's own data instead of generic web content
Cons
- No published pricing, so budgeting requires a sales conversation and a scoped quote
- Implementation and configuration take months for a mid-size firm, and someone internal has to own the system
- Cost and complexity put it out of reach for small teams and solo practitioners
- AI output quality depends on clean records, so a neglected database produces weak answers
Frequently asked questions
It's a deal and relationship intelligence platform that holds contacts, companies, deals, and engagements for professional firms. Teams use it to run pipelines, track client relationships, and prepare for meetings with context in one place.
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