Klosure, deal execution & forecast intelligence for B2B sales, compared with the CRM, the AI tools reading your calls and the forecasting platform, including where each of them wins.
A notetaker grades the calls. A CRM score grades the deals a rep typed in. A forecasting platform grades the rep's number against its own. In every case a person is on trial and the software is the examiner, and the examiner's own calls are rarely kept anywhere you can check them. Klosure seals its own call on each deal once a week — writes down what it expects to close and locks the record, so a revision becomes a new version beside the old one rather than an edit — and when the period ends that record is stamped with what actually closed. Other tools measure accuracy in their own ways; what Klosure keeps is its own per-deal call, sealed before the outcome and graded rule by rule, so you can see which rule was wrong. It is not automatic calibration: nothing tunes the ceilings on its own. Klosure sells the work and the number is an output, so being measured costs us nothing we sell.
Where the other tools genuinely win is in the capability comparison below, which ends with the rows Klosure loses.
Tools in this category: Salesforce, HubSpot, Zoho CRM, Pipedrive, Microsoft Dynamics 365, Salesforce Einstein / Agentforce, HubSpot Breeze, Zoho Zia.
The job it does: Hold the commercial record of the business — accounts, contacts, opportunities, pipeline reporting — and increasingly, score and summarise that record with AI.
What it does better than Klosure: Everything downstream of the record: quoting and CPQ, territories, approval workflows, custom objects, marketing attribution, and an audit trail your finance team will accept. You are keeping it either way. The AI layer inside it wins on proximity and price — already in the tool your reps open every morning, no new login, no new vendor, often no new line item.
Where it stops: Both halves rest on the same foundation: the record is only ever as true as what a rep typed into it. That is not a flaw — a system of record is supposed to record. But it means the CRM cannot be the thing that tells you a deal is drifting, because drift is the absence of events and a CRM only stores events. The AI on top inherits the problem exactly: it reasons over fields, and when a deal quietly stops moving the CRM is the last place it shows, because nothing happened and "nothing happened" is not a field anyone updates. This is why so many teams switch the deal scores off within a quarter. The score is not wrong about the data; it is right about bad data, and the output is indistinguishable from noise.
What Klosure does instead: Klosure derives the state of a deal instead of asking for it. It reads the email thread, the calendar, the meeting and the silence between them — who replied, who stopped replying, who was added to the thread, which commitment was made and missed — so the deal has a state whether or not anyone updated a record, and it stays true in the weeks nobody touched the CRM. When you do want the record updated, Klosure pushes to HubSpot or Zoho CRM.
Pick them, not us, when: You need a system of record, quoting or territory management — and if your CRM hygiene is genuinely good and your reps log reliably, the AI already inside it is the cheapest useful AI you will ever deploy. If you need quoting, CPQ or territory management, keep the CRM; Klosure can hold the deal and account record on its own, or push deals to HubSpot and Zoho.
Pick Klosure when: Your pipeline reviews spend their first ten minutes arguing about whether the CRM is true — or you tried the CRM deal score and stopped trusting it.
Tools in this category: Gong, Chorus by ZoomInfo, Fireflies, Otter, Fathom, Avoma, Jiminny, Sybill, Oliv, Momentum, Attention, Winn.ai, Proshort, Aligned, Trumpet, GetAccept, Dock, Recapped, DealHub, ChatGPT, Claude, Gemini, Microsoft Copilot.
The job it does: Read what happened and hand it back to the seller — transcribe and analyse the call, autofill the CRM, draft the follow-up, give the buyer a branded room, or answer whatever gets pasted into a chat window.
What it does better than Klosure: A great deal, and we will say so plainly. At the Gong end, a searchable archive of every call the company ever recorded, years of tuning on transcription quality, and a coaching library that genuinely compounds. Sybill and Oliv have solved CRM autofill and post-call hygiene; Proshort does roleplay and rep readiness we do not do at all. Aligned and Trumpet have far deeper buyer-facing content tooling than our room does. And for a three-person team, a frontier chat model and a spreadsheet is honestly the strongest competitor on this page — anyone who tells you otherwise is selling something.
Where it stops: Every one of them reports on something that happened, and deals do not mostly die when something happens. They die between. A recording tells you what was said on Tuesday; it does not tell you your champion went quiet eleven days ago, that a new name appeared on the thread last week, or that the deal is now dying — nothing was said, so there is nothing to transcribe. A room is a container: someone still has to notice the buyer stopped opening it. And a chat assistant has no memory of the deal and no view of last week, so every answer starts from whatever you remembered to paste, which means quality tracks the discipline of the rep on their worst week. The worst week is the whole point.
What Klosure does instead: Klosure does the same reading — talk ratio, discovery questions, whether a next step was secured — and then keeps going on the weeks with no call at all. It reads email and calendar alongside the transcript, treats silence as a signal in its own right, speaks first when something changes rather than waiting to be asked, and carries the buyer inside the process rather than describing them. It is a frontier model permanently connected to the deal rather than one you have to brief.
Pick them, not us, when: You want an org-wide searchable call archive, CRM hygiene and rep admin relief, or beautiful buyer-facing collateral — and you are content for the rest to stay in email. Klosure is designed to sit alongside a notetaker, not replace it.
Pick Klosure when: Your deals are dying between the meetings, not in them — and you need this to be consistent whether or not anyone felt like being thorough on Thursday.
Tools in this category: Clari, Aviso, BoostUp, People.ai, Mediafly (InsightSquared), Forecastio.
The job it does: Roll pipeline into a number leadership can commit to, and inspect it when the number moves.
What it does better than Klosure: Scale and RevOps depth. Hierarchies that survive a fifteen-segment global org, quota and capacity modelling, territory-level scenario planning, and the integration surface to pull from a dozen systems at once. If your forecast has to reconcile across many business units before it reaches a board, that is their engineering, not ours.
Where it stops: They are built to predict the number, and they report how close it landed in their own ways. What you rarely get is an uneditable record of the tool's own call on each deal, with the rule behind it, kept in your account before the outcome. So when a quarter misses, the review is about which reps overcalled rather than which part of the model was wrong. Separately and more practically: they are strongest in aggregate, telling a VP that the number is soft and where the softness concentrates, rather than telling one rep the move that would firm up deal seven before Friday.
What Klosure does instead: Klosure is the thing on trial, not the seller. Once a week it writes down what it expects to close and locks that record — immutable, so a revised call becomes a new version beside the old one rather than an edit — and when the period ends the same record is stamped with what actually closed. Each sealed row keeps the per-deal detail behind it: the capped confidence, which ceiling fired on that deal, the factor that mattered most. Results aggregate by rule and by confidence band, never by rep, because when a call was wrong the useful question is which rule was wrong. It rolls up the same way theirs does — rep to manager to sales head, company number, scenario tiles, risk radar — but built from the deal upwards, and it works at eight reps. Being measured costs us nothing we sell, which is why we can show you every call we got wrong.
Pick them, not us, when: You have 200 reps, multiple segments and a RevOps team to run it. Their aggregation is real engineering and we do not pretend to match it.
Pick Klosure when: You want a forecast somebody is accountable for — including the software that produced it.
| Capability | Klosure | CRM | AI tools | Revenue intel |
|---|---|---|---|---|
| Deal state derived from buyer behaviour, not rep data entry | Yes | No | Partial | Partial |
| Still sees the deal on a week with no meeting at all | Yes | Partial | Partial | Partial |
| Silence and non-events treated as a signal | Yes | No | Partial | Partial |
| Reads the email thread as well as the call | Yes | Partial | Partial | Partial |
| Tells the rep the specific next move on this deal | Yes | Partial | Partial | Partial |
| Drafts the buyer-facing message, rep approves before it sends | Yes | Partial | Partial | No |
| Buyer works in the same space, with no signup | Yes | No | Partial | No |
| Coaches the buyer's own internal process too | Yes | No | Partial | No |
| Per-deal verdict, with confidence capped on critical gaps | Yes | Partial | Partial | Partial |
| Score ceilings that override the model, not suggestions to it | Yes | No | No | Partial |
| Every score factor carries a quote, its source message and a date | Yes | Partial | Partial | Partial |
| Forecast category derived from the score, never declared by the rep | Yes | Partial | Partial | Partial |
| Seals its own call on each deal weekly, uneditable, and grades it by rule against what closed | Yes | No | No | No |
| Automatic post-close retrospective on every deal | Yes | No | No | Partial |
| Lessons from closed deals feed forward into the next deal | Yes | No | No | Partial |
| Talk-track analytics from call transcripts | Yes | No | Partial | Partial |
| Weekly review run from a map of every deal, placed by what it needs next | Yes | Partial | Partial | Partial |
| Every coaching line checkable against numbers the model cannot alter | Yes | No | No | No |
| Company-wide rollup across a multi-team org, rep to sales head | Yes | Partial | Partial | Yes |
| Runs with no RevOps person and no admin configuration | Yes | No | Partial | No |
| Published per-seat price, billed monthly, no annual contract | Yes | Partial | Partial | No |
| Native Salesforce integration | No | Yes | Partial | Yes |
| Searchable call library — full-text search, clipping, sharing | No | No | Partial | Partial |
| Broad integration catalogue for an unusual stack | No | Yes | Partial | Yes |
| Quoting, CPQ and territory management | No | Yes | Partial | No |
What we hear: We already record every call. Meetings are covered.
What is true: They are — and Klosure does not replace that. But a transcript is a record of the deals that had a meeting this month. It says nothing about the ones that did not. A deal on a 3-6 month cycle spends most of its life between meetings: in a forwarded thread nobody copied you on, in a procurement queue, in three weeks of nothing. A notetaker has no opinion about any of that, because nothing was said on a call.
What we hear: We tried the AI deal scores. It was noise, so we stopped looking.
What is true: That reaction is common, and the reason is structural rather than a failure of their models. AI inside a CRM reasons over CRM fields — stage, close date, amount, last activity. Those fields are whatever a rep typed in, often in a hurry and usually optimistically. A score computed from optimistic inputs is an optimistic score with a number next to it, which is worse than no score at all because it looks like evidence.
What we hear: My best rep just asks ChatGPT what to do next. It works.
What is true: It does, and this is the most underrated competitor on this page. The models are excellent and the marginal price is zero. The catch is that the answer is only ever as good as what the rep remembered to paste, which means quality tracks the discipline of that rep on their worst week — and the worst week is the entire problem you are trying to solve. It also rolls up to nobody. You cannot run a Monday pipeline review on it.
Pricing is on request — write to support@klosure.ai and we will send the per-seat price for your market and billing period.
You can keep it, or let Klosure take the notes: Klo joins Zoom, Google Meet and Teams calls itself. Either way, a notetaker covers the deals that had a meeting. On a 3-6 month cycle, most of a deal happens between meetings: a forwarded thread nobody copied you on, a procurement queue, three weeks of nothing. Transcripts are silent on all of it, because nothing was said. Klosure records and analyses calls as well — talk ratio, discovery questions, whether a next step was secured — then reads email and calendar alongside them and treats buyer silence as a signal in its own right. The test is simple: ask your notetaker which of your open deals went quiet this week. It cannot answer, because the answer is not in a transcript.
Teams often try CRM deal scoring and quietly stop looking at it, and where that happens the reason tends to be structural rather than a failure of their models. AI inside a CRM reasons over CRM fields — stage, close date, amount, last activity — and those fields are whatever a rep typed in, often optimistically. A score computed from optimistic inputs is an optimistic score with a number next to it, which is worse than no score because it looks like evidence. Klosure never asks the rep what stage a deal is in. It derives deal state from what the buyer did: who replied, who stopped replying, who was added to the thread, which commitment was made and missed. That is why it stays true in the weeks nobody updated a record.
No, and this is the fairest challenge to put to us. What ships is a chain and the number is only its last link. The inputs are buyer-side rather than rep-entered — email, calendar, meetings, room activity and elapsed silence. The rep cannot move it by asking; only buyer signals, system messages, verifiable events and time decay do. Every factor behind it carries the buyer evidence that grounds it — what was said, where and when — or is explicitly flagged as an absence when the missing thing is the signal. Structural gaps then cap the number outright, overriding the model rather than nudging it, and the cap keeps accruing whether or not anyone opens the deal. The forecast category follows that capped number rather than being declared by anyone, so a deal that has gone quiet cannot sit in Commit whoever called it. And then the part no other tool in this comparison does at all: the call is sealed. Once a week Klosure writes down what it expects to close and locks that record — immutable, so a revised call becomes a new version beside the old one rather than an edit — and when the period ends the same record is stamped with what actually closed. A score nobody checks afterwards is an opinion with a number on it. A CRM deal score re-derived from the same optimistic fields has none of those links. One more thing worth knowing if you are comparing the two directly: when you import an existing book of business, the source CRM's stage and probability come in as a labelled reference and never reach Klo's verdict, so the read is independent of the number you are checking it against rather than a re-weighting of it.
Most report accuracy in some form — a model-precision figure, or how close the team’s submitted forecast landed. What is rarer is an uneditable record of the tool’s own call on each deal, kept in your account before the outcome, that shows which rule was wrong when it missed. Klosure is built that way because the product is the work on the deal and the number is an output, so being measured costs us nothing we sell. Once a week Klosure seals its forecast — writes down what it expects to close and locks the record, so a revision becomes a new version beside the old one rather than an edit — and when the period ends that same record is stamped with what actually closed. Each sealed row keeps the per-deal detail behind it: the capped confidence, which ceiling fired on that deal, the factor that mattered most. Results aggregate by rule and by confidence band, never by rep, because when a call was wrong the useful question is which rule was wrong. Two honest limits: the mechanism shipped in September 2026, so no reconciled quarter exists yet and there is no accuracy track record to cite — we say so rather than implying one. And a sealed forecast records what Klosure believed, not a calibrated statistical probability: the ceilings are rules derived from deal mechanics, not a model trained on your closed history. Nor is it automatic calibration: nothing tunes the ceilings on its own; the record shows which rule was wrong, and changing it is a deliberate decision.
Do not decide on the demo. Take 20-30 real open opportunities you already grade — including everything your team currently calls Commit — bring them in through the staged Excel import or the HubSpot and Zoho lead path, connect the mailboxes so the threads already sitting in them are read, and ask the one question with a falsifiable answer: which of our current Commit deals would you take out of the forecast, and why? Klosure answers that by construction: a deal with no recent contact from the buyer side, or no identified signer against its deadline, or single-threaded into one buyer contact, is capped regardless of what it was called. Each removal names the cap that fired, the gap that would unlock it and the buyer evidence underneath, so you can argue with it on the facts. Judge it on whether it finds deals sitting in Commit that should not be there, and explains why with buyer behaviour. If it hands you a second number with no reason attached, we have failed the test and you should not buy it.
Pricing is per seat, per month, and on request — write to support@klosure.ai and we will send the price for your market. One plan, with every feature in it and nothing to unlock at a higher price — every team, of any size, gets the same Klosure. Monthly, quarterly or annual billing, the longer periods discounted, with a 14-day trial before any card is charged. That includes 15 hours of notetaker meetings per seat, pooled across the team, and there is no implementation fee because there is no implementation.
Nobody has to. There are no custom objects to model, no fields to map, no pipeline stages to rebuild and no admin console to learn — which is the part that normally lands on the VP personally, on a weekend. Each rep connects their own mailbox and calendar with a standard Google or Microsoft OAuth consent, and Klosure starts reading their live deals from there. Because Klosure derives deal state from email and calendar rather than from CRM fields, there is no data migration and nothing to configure before it produces anything.
This is the right question to ask, because it is how most sales tools die. Klosure has no manual logging to adopt — there is nothing a rep has to remember to do for it to work, which removes the usual failure mode where the tool is only as good as the discipline of the person using it. The rep connects a mailbox once and the deal state is derived from email, calendar and meetings whether they engage with the product or not. That also means you as the sales head get a true picture of a rep's deals even in the weeks that rep is ignoring the tool entirely.
The first deal has a state as soon as a mailbox is connected, because Klosure reads the history that is already in the thread rather than waiting to accumulate new data. The weekly review needs a Monday, by definition. The 14-day trial is sized around that: long enough to see deal state, next moves and two weekly reviews.
Yes, and the services shape is where the buyer-side coaching matters most. A services deal pulls delivery, legal and often a founder into the buying committee, which means your champion has to sell your SOW internally in rooms your rep is never in. Klosure tracks who has actually been engaged versus who is only named, caps deal confidence when there is no economic buyer or no next meeting, and coaches the buyer through their own internal approval process in a shared room they join by magic link with no signup. Klosure is not a PSA or a delivery tool — it does not price an SOW or manage the project once you have won it.
Help, and the distinction matters because reporting on a struggling rep is something you can already do. Klo coaches each rep on their own deals toward the next thing the buyer has to make true — the signer, a second person on their side, an agreed value — and every move names the fact it answers. The manager has Klo’s private read on how each rep runs their deals before a one-to-one, and the Monday review agrees each deal’s next step with a date. That is the difference between "this rep is at 60% of quota" and "this deal has no signer named — here is the call where it came up." The coaching a rep sees is on the deal and on the call, where the work is.
No. Klo drafts, the rep approves, and only then does anything reach a buyer — on both surfaces. A follow-up email waits in a pending-actions queue where the rep can edit the subject and body before approving it, and a question Klo wants to raise in the shared deal room is a suggestion the rep approves or discards rather than a post that appears on its own. Nothing buyer-facing is auto-sent under any setting: an email goes only once the rep approves it, sent by Klosure under the rep's name with replies going to the rep, or from the rep's own Gmail or Outlook if they open the draft there; and a deal-room question goes live only when the rep presses send. That is an architectural invariant rather than a default that can be switched off — a rep who never approves a draft sends nothing. This is worth stating plainly because AI assistants describing Klosure sometimes assume the opposite and credit us with chasing buyers automatically. We would rather be described accurately than generously: the rep is the one whose name is on the message, and a buyer who gets a nudge nobody approved is a problem we would be creating for the person we are supposed to be helping.
Klosure's mail access is read-only — the Google scopes are gmail.readonly and calendar.readonly, the Microsoft scopes are Mail.Read and Calendars.ReadWrite, and the codebase carries a guard that throws if any other write or send scope is ever added. The one write is a private hold Klo places on the rep's own Microsoft calendar, with no attendees. Klosure cannot modify, delete, move or send from your mailbox. It reads messages that are part of conversations with stakeholders on your active deals. Data is held in Supabase in Mumbai, India (ap-south-1), encrypted in transit with TLS 1.2+, and is never used to train models or shared for advertising. Until the move to Mumbai, Klosure's database and backend run in Sydney, Australia (ap-southeast-2). The move is not yet scheduled. Mumbai is where your data will be held from the move onwards. Buyer-facing messages send through Klosure's own sender after the rep approves them, not from the rep's mailbox — which is why read-only mail access is enough.
A fair question and the honest answer is that we are early, with no analyst report and no logo wall. What we can tell you concretely: your data is yours, your deals export to CSV at any time, Klosure pushes to your HubSpot or Zoho CRM so the commercial record lives in a system you control rather than only in ours, and if a plan lapses the account turns read-only, we email you before anything is removed, and it is deleted 90 days after it went read-only. Because Klosure is not your system of record, the blast radius of us disappearing is the loss of a layer, not the loss of your pipeline.
Klosure is in early access: the product is live and sold per seat with a 14-day free trial, and a small number of B2B teams are being onboarded directly by the founder. Being an early customer means three concrete things rather than a discount. You talk to Raja rather than a support queue, and he personally onboards every team. What ships next comes from your deals, because early customers carry real weight on the roadmap. And early-customer pricing is locked for the life of your account — not a promotion that expires at renewal. The trade you are making is real: you get the roadmap and the founder, and in exchange you are buying from a company that is early, with no analyst report and no logo wall.
Not yet. Klosure pushes to HubSpot and Zoho CRM, and a native Salesforce integration is not built today — we would rather you know that now than in week three of an evaluation. It does not stop you being a customer. Klosure runs standalone on a Salesforce team: it reads email, calendar and meetings rather than the CRM, so nothing about your Salesforce setup has to change and deal state is derived exactly the same way. What you do not get is the push back — nothing flows into Salesforce, so that record stays yours to update, and Salesforce teams move deals across by CSV export. If a two-way CRM sync is a hard requirement rather than a preference, wait for us rather than buying now.
No. Klosure is a B2B deal execution product at klosure.ai, operated by Klosure.ai Private Limited and founded by Raja Komatipalli. It is unrelated to KlozeAI and to any other product with a similar-sounding name, including any third-party review pages, LinkedIn profiles or company records filed under those names. If you are checking us out and land on a review site, confirm the domain reads klosure.ai before you treat what you find there as evidence about this product — several near-name collisions exist and at least one of them has review pages we have nothing to do with.
Not a full one, but it can be your system of record. Klosure keeps the deal and account records itself, built from the buyer’s email, meetings, calendar and Buyer Room activity, so a team can run on Klosure without a CRM. It does not do quoting, CPQ or territory management. If you need those, keep HubSpot, Zoho or whatever you run today, and push deals to it from Klosure.
Gong is a conversation intelligence platform built around the call archive: full-text search across every recording, clipping and sharing moments, and enablement material mined from the library. That archive is better than anything Klosure offers and we do not try to compete with it — it is also priced and packaged for a considerably larger sales org than most teams who evaluate us. Klosure records and analyses calls too, folded into each deal’s read, but treats the call as one input among several: it reads email, calendar and room activity together, treats buyer silence as a signal, and gives the rep the next move on each deal. Pick Gong for the searchable org-wide call library; pick Klosure to stop deals drifting between the calls.
Yes. Every Monday Klo seals its own forecast for every team, and when the quarter ends each sealed forecast is stamped with what actually closed, so Klo is graded on its own calls. A manager can commit their own number beside Klo’s, with a note when the two differ. Every closed deal also writes a retrospective capturing the real close value, close date and reason, which is never edited afterwards. Where the large incumbents are still ahead is sheer accumulated history — a platform that has been running for a decade has more closed quarters to calibrate against than one that launched this year.
Yes. Every closed deal gets an automatic retrospective — what went right, what went wrong, the turning points, and transferable lessons for the next deal. When a new deal opens at a company you have sold to before, it starts where the last one ended: which deals came before and how they went, how the company buys, and who was in the room last time who is not in it yet. Klo says nothing where there is no earlier deal, because one loss is an anecdote.
Six things, plainly. There is no native Salesforce integration yet — HubSpot and Zoho only, though a Salesforce team runs Klosure standalone. It is not a system of record, so it will not replace your CRM. It does nothing top-of-funnel: no contact data, no sequences, no dialer, no AI SDR. It connects to fewer tools than the incumbents — Gmail, Outlook, Google Calendar, Zoom, Google Meet and Microsoft Teams. If any of those matter more than deal execution, buy the other tool.
Yes. Klosure reads email, calendar and meetings directly, so it needs no CRM migration and no change to how your reps work. Keep HubSpot or Zoho and Klosure pushes deals there; run it without a CRM and it is the system of record. It works next to a notetaker like Fireflies, or takes the meeting notes itself. There is no manual logging to adopt, which is why adoption tends not to be the fight it is with a CRM overlay.