Dialllog · The firm-memory layer M&A and PE teams need before AI works’ cover photo
Dialllog · The firm-memory layer M&A and PE teams need before AI works

Dialllog · The firm-memory layer M&A and PE teams need before AI works

Business Intelligence Platforms

London, Greater London 1,932 followers

Deal history, relationships and firm intelligence for M&A and PE teams. In one place, compounding over time.

About us

Most deal teams run on Excel, inbox memory, and whoever was closest to the last deal. It works. Until someone leaves. Until two mandates run at the same time. Until an LP asks where things stand and nobody is completely certain. The problem is never the people. It is that knowledge lives in individuals rather than in the firm. Every departure resets the clock. Every new mandate rebuilds from scratch. And every AI tool layered on top of that fragmented foundation produces the same result: faster access to an incomplete picture. Dialllog is the institutional knowledge centre for M&A and PE firms. Relationship history, deal context, and firm intelligence in one place, compounding over time rather than walking out the door. The firms that structure their knowledge now will not just run better deals today. They will be the ones that actually benefit when AI becomes the standard operating layer in deal-making. Built by ex-bankers. Designed for how deal teams actually work. 50+ implementations across M&A boutiques and PE firms globally.

Website
https://dialllog.co
Industry
Business Intelligence Platforms
Company size
11-50 employees
Headquarters
London, Greater London
Type
Privately Held
Founded
2020

Locations

Employees at Dialllog · The firm-memory layer M&A and PE teams need before AI works

Updates

  • Your firm already runs on a dozen tools. The problem was never the tools. It was that none of them remembered anything. So we built Dialllog to sit where the memory should have been all along. At the centre. Outlook for email. Excel for the model. Datasite for the raw files. PitchBook for the market. DocuSign to close. Slack or Teams for the noise in between. Every deal team has this stack. The problem is that every deal team also loses half of what happens inside it, because the tools do not talk to each other. Dialllog is the system of record underneath. The relationships, the mandates, the reasons a deal moved or died. Claude works across the tools on top of it. The stack stays. The memory finally stops leaking. Build on what already works. Keep the record for yourself. Which tool in your stack forgets the most? Link in comments.

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  • The best deal teams stopped leaving their inbox to update the system. The system comes to them now. Here is how a few of our sharpest clients work today, without switching tabs once. A buyer replies to a teaser. Before writing back, they open the Dialllog panel inside Outlook and see the whole picture: who at the firm knows this buyer, what they passed on last time, which mandate they belong to. The reply writes itself, in context. A new introducer appears on a thread. One click in Outlook creates the contact and the company, enriched, no retyping. A live negotiation lands in the inbox. They attach the thread to the deal from Outlook, and every colleague on that mandate can see it. Nothing gets forwarded. Nothing gets lost. None of this happens in a CRM they have to remember to open. It happens where the work already is: the inbox. That is the whole idea behind the new Dialllog panel for Outlook. Create contacts and companies, attach threads to workflows, and see a buyer's full history, without leaving your email. The firms that adopt this stop asking one question entirely: did anyone log that? Where does your deal context go when it arrives by email? Link in comments.

  • Inboxes forget. That is the most expensive line item no M&A firm ever books. The buyer who walked away will email again. In this market, they always do. And when they do, the entire story of that deal, the valuation gap, the objection that killed it, the exact thread where momentum died, is sitting in one person's inbox. If that person has left, the story left with them. You are negotiating against someone who remembers a conversation your firm has lost. Deal teams try to fix this with discipline. Forward the important ones. File things on Friday. It never survives a live process, because filing email is exactly the work nobody has time for mid-deal. How long is your Monday pipeline review? A 40-person advisory firm we work with used to run theirs at 90 minutes. The pipeline was not the problem. The first hour was reconstruction: status chased by email, a tracker updated by hand, and a recurring seminar on who last spoke to which buyer, attended by the only people who could possibly know. They deployed one workflow, the overnight deal report, and changed nothing else about how they run deals. >> The review now runs at 35 minutes >> Status arrives pre-assembled, quiet deals pre-flagged >> The chase emails stopped, to quiet celebration on both ends Same team, same deals. The meeting starts answered instead of assembled. What is the reconstruction half of your Monday costing you?

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  • What does your Monday pipeline meeting start with, answers or archaeology? For most mid-market teams it starts with the second one: a careful excavation of who spoke to which buyer, conducted by people who were all present when it happened. Half the meeting is spent rediscovering Friday. The Monday morning deal report is the first workflow most firms deploy on Dialllog, largely because it abolishes the dig. >> Built overnight from synced email, calendar and deal activity >> Every live mandate with what moved since last week >> Quiet deals flagged before anyone has to ask the awkward question >> Follow-ups due today, each with an owner attached The meeting starts from a shared, current picture. Nobody chased a junior for status on Sunday night, and the junior has agreed not to mention how often that used to happen. What would your team do with the 45 minutes back?

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  • How long does an M&A founder search for the right system? One told us this month: 25 years. We spent an hour comparing notes with the founder of a mid-market advisory firm. Decades of deals behind him, and so unconvinced by the market that he built his firm's own system in-house and kept refining it for a quarter of a century. His verdict on Dialllog: "Yours was the first one I found that is doing roughly the right thing." The conversation sharpened what that "right thing" actually is: >> Buyer lists that link to live mandates, so the pipeline and the relationships sit in one place >> Every note, email and call transcript attached to the company it concerns >> Public company data is treated as a commodity, because the real edge is what a buyer told you in a conversation, and that has to be stored somewhere >> Reminders that surface as actions people see, not fields nobody checks His other line stayed with us: the firms that organise this properly have a structural advantage, because most of the market still runs on scattered spreadsheets and memory. Twenty-five years is a long time to wait for a tool. It should take you one demo. What would your firm's veteran say is still missing from your system?

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  • Inboxes forget. That is the most expensive line item no M&A firm ever books. The buyer who walked away will email again. In this market, they always do. And when they do, the entire story of that deal, the valuation gap, the objection that killed it, the exact thread where momentum died, is sitting in one person's inbox. If that person has left, the story left with them. You are negotiating against someone who remembers a conversation your firm has lost. Deal teams try to fix this with discipline. Forward the important ones. File things on Friday. It never survives a live process, because filing email is exactly the work nobody has time for mid-deal. So we removed the work. Dialllog saves every email under the deal it belongs to, automatically, while you do the deal. No forwarding, no filing, no Friday ritual. The deal builds its own record: who said what, what was offered, where it stalled, why it went quiet. Years later a buyer resurfaces, you open the deal, and the whole history is waiting for you. People move on. Inboxes get archived. The firm remembers. Inboxes forget. Dialllog remembers.

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  • Dialllog · The firm-memory layer M&A and PE teams need before AI works reposted this

    The firms most exposed to losing their knowledge are the ones that have never lost anyone. It sounds backwards. No churn, stable leadership, the same core team for years. Nothing has ever forced the firm to write down what it knows, because the people who know it have always been in the room. The knowledge feels safe. It has just never been written down. Then one senior person finally leaves, after a decade, and the firm learns that fifteen years of relationships, judgement and history lived nowhere but in their head. The stability that felt like strength was the exact reason nobody ever built the memory. High-churn firms learn this early and cheaply. Stable firms get the bill all at once, years later, and it is far larger. The test is simple. If your steadiest partner took a long holiday tomorrow, how much of the firm would quietly slow down? If the answer is a lot, the edge is personal rather than institutional, and stability has been hiding it. This is the layer Dialllog is built for, firm memory that does not depend on everyone staying. What would your firm forget if your most reliable partner walked out the door?

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  • The weekly deal meeting reveals more about a firm than most teams realise. Not because of the agenda. Because of how much has to be reconstructed live. Who spoke to the buyer? Did anyone follow up? Why did the mandate stall? Was that update captured? Which partner has the relationship? What changed since last week? Why are we discussing this again? Good teams still lose time here. Not because people are careless, but because deal knowledge is spread across conversations, inboxes, trackers, notes and memory. The meeting becomes the system. That is expensive. Dialllog gives M&A and PE teams one live intelligence centre for mandates, buyer history, relationship context, meeting notes and follow-ups, so the team starts from what the firm already knows. The shift is small but powerful. Less time collecting status. More time deciding what to do next.

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  • What happens when the smartest model can finally read your firm's memory? This week you can find out. Fable 5 is included in paid Claude plans until 7 July, and Dialllog connects to Claude through MCP. That means the model is no longer reasoning in a vacuum. It is reasoning over your mandates, your relationships, and your interaction history. Connect it, then run these against your real pipeline: "Which buyers passed on similar assets in the last two years, and why?" The answer comes from your pass reasons, not from guesswork "Prep me for tomorrow's call with this sponsor." It pulls every prior interaction, the open commitments, and who owns the relationship "Which live mandates have gone quiet, and what was the last touch on each?" A pipeline health check in one question "Draft the follow-up to this buyer, in context." The draft references your actual history, not a template The same questions against an empty context produce fluent, generic answers. Against a structured firm memory they produce work a partner can use. Teams running this setup answer buyer-history questions in under a minute that used to take half an hour of asking around. The model is rented. The memory is yours. This week is the cheapest way there has ever been to see the difference. Which question would you run against your pipeline first? Link in comments.

  • Dialllog · The firm-memory layer M&A and PE teams need before AI works reposted this

    To my surprise, after working with more than 20 M&A and investment firms this year, the questions teams struggle with most are the most basic ones. The kind you would assume any firm could answer in seconds. Who spoke to the buyer? Did anyone follow up? Why did the mandate stall? Was that update captured? Which partner has the relationship? What changed since last week? Why are we discussing this again? Every one of these is answerable the moment a firm can find what it already knows. The answer almost always exists, in an inbox, a call note, one partner's memory, just never anywhere the team can reach when it matters. That is the real readiness gap. Long before any AI tool, a firm has to be able to answer its own simplest questions. This is the layer Dialllog is built for. How do you answer these for your firm?

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