What "more than a CRM" actually means
DealCloud's own positioning, deal and relationship intelligence for professional firms, is fair, and the platform backs it up. Pipeline management, business development, marketing, fundraising and relationship scoring all live inside a single system that a firm configures to its exact investment committee process. That's real depth, and it explains why firms with the admin resources to run it get genuine value: the platform bends to how your IC actually works, rather than the other way round. Worth saying plainly before any critique: DealCloud is good at the piece of deal work it set out to own.
That depth is also where the cost shows up. Independent implementation guides and user reviews converge on the same picture: single-module rollouts commonly take months rather than weeks, larger deployments across pipeline, BD, marketing and fundraising run longer still, and dedicated admins plus outside consultants are commonly reported as part of keeping the configuration current after go-live. None of that is a knock on DealCloud specifically, it's the honest cost of a platform built to be configured this deeply rather than handed to you as a fixed template.
AI reaching a pre-AI platform, versus built around one
Intapp Assist is real and recent, and DealCloud now markets itself as an AI-powered platform: conversational AI over your DealCloud data, agentic playbooks, Smart Tags, a Prompt Studio and Assist Origination, all launched or expanded within the past year. It answers from whatever data your team has entered into DealCloud, which is exactly what you'd want from a platform's own AI layer, and we'd credit it as a fair addition. The honest distinction is what the AI is reaching into. DealCloud's underlying platform was built before the AI-native era, so Assist points a model at a deal-and-relationship database. DealSage was built around AI from the start: the same deal and relationship data sits in a whole-firm ontology alongside the documents, models and memos that produced it, every field carrying lineage back to its source, with agents and apps running on top. That matters most once the question moves beyond "what's in DealCloud" to "what did we actually assume in the model, and where did that number come from." Adding an AI layer to a pre-AI platform buys marginal gains around the edges; being built around one is a step change.
Moving over, on your own timetable
None of this means ripping DealCloud out on day one. If you've invested years of configuration and thousands of records into the platform, a migration can feel daunting, and that is a legitimate reason to take it in stages or to integrate rather than migrate first. DealSage reads from DealCloud and can run alongside it, so you keep the workflow your process is built on while the ontology captures everything around it, the documents, models, memos and email that DealCloud was never built to hold. When you're ready, DealSage can migrate the deal and relationship record across in full and consolidate the stack onto one AI-native foundation. The direction is your call, not a rule we impose. See how the platform is built for the fuller picture.
Security, on Azure
DealCloud's security documentation on intapp.com/cloud is thorough and verifiable: ISO 27001, 27017, 27018 and 27701, SOC 1 and SOC 2, and CSA STAR certification, running on Microsoft Azure with region selection across APAC, Canada, the EU and the US. What isn't published anywhere in that documentation is a VPC or on-premise deployment option. For most firms that's a non-issue. It matters more for firms with regulatory or data-residency requirements that specifically call for infrastructure outside a shared cloud region, which is why DealSage offers DealSage Cloud, a private VPC, or fully on-premise as an explicit choice. Our own posture is verifiable the same way, at trust.dealsage.io.