Klosure is the deal execution engine for B2B sales. Klo, its AI, reads every email, meeting, deal chat and silence on every B2B deal, then tells the rep the next move and grades the forecast from what the buyer actually did. You see what is actually happening in every deal — and what to do about it. We don't read your CRM; we read your buyer.
Every forecast review in B2B runs on self-reported optimism. The CRM records what the rep chose to type; the buyer's actual behaviour lives in an inbox no one reads. Same deal, same Friday, two stories. Your CRM says ACME Holdings is on track: stage Negotiation, commit 80%, closes this quarter, champion confirmed, no risk flagged, last note "just legal review". Klosure reads the actual signals: the champion has gone quiet, the CFO was never invited, and proposal v3 was never answered. Your CRM is a paper map. Klosure is the live route.
Klosure reads the buyer, hands the rep the next move, grades the forecast, runs the room the buyer works in, keeps the account record after the deal closes, and sharpens how the team sells. Nobody logs activity.
Klo ingests every signal touching the deal — email, calendar, meetings, deal chat and silences — and flags what changed: a new stakeholder, a missing approver, a champion gone quiet, a proposal cut to v3. No one logs activity. Ever.
Klo coaches the rep, and drafts what goes to the buyer. The rep gets the next move outright — for example, "call Priya today, don't email; ask who in finance signs off on the security review, then offer a 30-minute CFO walkthrough before Friday". Anything addressed to the buyer is written as a draft for the rep to approve first. Klo does not contact the buyer on its own.
Klo grades the forecast from real signals rather than rep sentiment, and sorts every deal into Commit, Best case, Pipeline or Walk. Every confidence factor carries the buyer evidence that grounds it — what was said, where, and when — or an explicit flag when the missing thing is the signal.
A structural gap caps a deal's confidence no matter how good the deal feels: no identified signing authority, no recent contact from the buyer side, a deal single-threaded into one buyer contact, unresolved blockers late in a negotiation. A cap holds until the gap is closed, and the forecast category follows the capped number rather than being declared by anyone — so a deal that has gone quiet cannot sit in Commit, whoever called it. In the product every cap names the gap that caused it, what would unlock it, and the buyer evidence underneath.
The confidence score cannot be talked up by the person being coached. It does not move because a rep asks for a higher number, expresses optimism, vents, or restates known facts in a better tone. It moves on what the buyer said, on system signals such as emails and meeting transcripts, on verifiable new facts, and on elapsed time. Asked directly to raise a score, Klo refuses and names the specific factor that would have to change instead.
The buyer opens a per-recipient link — no signup, no password — into a shared room co-branded to the seller. It carries a mutual action plan with owners and due dates, the business case, documents, and a plain-language read of where the deal stands. Klo drafts every buyer-facing question, and nothing sends until the rep approves it. Anything the buyer writes goes straight to the rep, never to a bot. The buyer side is always free and never pays.
Rooms are private by default, with no public discovery, and each recipient gets their own link. The seller's internal scoring never crosses over: the buyer cannot see the deal state, the confidence score, the factors behind it, the blockers, or any other contact. Access can be revoked instantly. Because a room is only ever reached through one person's own link, a room that gets opened, forwarded or answered tells the seller something real about the buying committee.
No. Any email Klo writes for a buyer is a draft, and nothing reaches the buyer until the rep sends it. There is no setting that changes that. The rep chooses which steps, documents and people the Buyer Room shows. Anything the buyer writes back goes straight to the rep, never to a bot. The AI never gets between the seller and the customer relationship.
Every deal opens to Deal Pulse, with four sub-tabs. Evaluate is Klo's on-demand, VP-grade verdict: it calls the deal Commit, Best case, Pipeline or Walk, shows the confidence factors working for and against it, names the one thing that kills it, and tells the rep what to do this week — plus a manager-only rep read. Overview is the daily driver: live confidence, the highest-impact moves, the stakeholder map and deal health. Playbook holds the MEDDPICC scorecard, a CFO-grade business case, and Klo's proven plays. History is the confidence trend, every logged meeting, and the activity Klo recorded — no one typed any of it in. The buyer surface is the Buyer Room, reached from its own tab.
The number falls on its own, and nobody has to notice. The clock runs from the last meeting where something new was established about the deal, so a friendly reply or a meeting on the calendar does not make a deal read as alive. As time passes without progress its ceiling comes down, and every cap names its reason with a date. Klo keeps coaching toward the next question the buyer has not answered, picking the person and the channel for a quiet deal; whether to keep working it is the rep’s call, and Klo never tells them to drop it.
Klosure covers the work that stalls enterprise and IT-services deals after the buyer has already said yes. Security questionnaires are drafted from the team's own prior answers — a corpus that compounds every time a rep promotes an answer back into it, so Klo answers more of each new questionnaire in the team's own words over time. Grounding is strict: answers come only from that corpus, and any question it does not cover is flagged as needing input, never fabricated, because Klosure will not invent a security claim or a certification. Inbound contracts get a first-pass commercial review against the team's own red lines and preferred positions, with proposed redlines. Well-known deal-killers — uncapped liability, broad IP assignment, one-sided termination, unlimited indemnity — are flagged even without a playbook entry, but never invented: only clauses actually present in the document are flagged. The raw contract text is not stored.
Managers get their own workspace. This Week is a Monday cockpit: a Klo-written headline, what moved (won, lost, added, slipped, dark), the cross-deal patterns that matter, a rep spotlight, and a decision queue. It also flags where a rep is running optimistic — commit at 80% on a deal whose economic buyer has never been on a call — so 1:1s start from evidence instead of anecdote.
Forecast is board-ready and deal-deep: Closed, Commit, Best case, weighted call and full pipeline against a target you set, with every scenario auditable down to the individual deal and the buyer signal underneath its score. A risk radar covers slipping, dark, overdue, no-next-step and concentration, each with the dollars exposed before quarter-end. Pipeline gives four lenses — list, by rep, by stage, and Build. Pipeline Build shows where new business comes from by source and rep. Staffing reads each rep's load, win rate and fit so Klo can recommend the owner for a new deal or bulk-assign a whole CSV of leads. Ask Klo answers anything across the team.
Every Monday the manager runs the review from one map: every deal closing in the quarter, sized by its value and placed by what it needs next — Needs Signoff, Needs Validation, Needs Mapping or Needs Qualification. The darker a deal, the closer it is to signoff, so the room starts with the biggest deals closest to the money, hears the rep, and agrees the next step with a date. Code owns every number and places every deal from what the buyer has said and done; the model writes only the sentence. Nothing is grouped, totalled or ranked by rep, and Klo's private read on how each rep runs their deals is for the manager alone.
What the manager never sees, enforced in the database rather than promised in copy: which of Klo's advice a rep did not take, what a rep tells Klo when they disagree, and Klo's own accuracy broken down by person. Klo's record of calls and outcomes is aggregated by rule, never by rep — when a call was wrong, the question is which rule was wrong. A surface that scores a person on adherence turns a thinking aid into a task list and produces literal compliance, the least useful behaviour available. Because Klosure distils every meeting into call signals — talk ratio, discovery questions asked, whether a next step was secured — the read rests on what happened on the call, not on what was logged about it.
Klosure writes a retrospective for each individual deal when it closes, won or lost — a per-deal brief, not a pipeline report. Each one covers how long the deal took and where it stalled, missed commitments and the stage path, what went right and what almost killed it with evidence, the turning points and whether each moved the deal forward, backward or stalled it, and a numbered list of what to repeat on the next deal. Klo also drafts a short, buyer-safe win/loss interview email and queues it for the rep to approve; that draft never sees the seller-side retrospective, confidence or blockers, so buyer-safety is structural rather than merely instructed. 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. Institutional memory, on autopilot.
Klosure keeps a record for every customer company and every person inside it, and it outlives the deal that created it: the deals that account has run, the people behind them, their buying roles, what each of them actually said, and one written read of where the relationship stands now. Every line of that read names the person, their role, the date and what they said, so a manager can check it against the thread rather than take it on trust. Where an account has been run by phone rather than in writing, Klosure says there is nothing to read rather than inventing a state. What the record accumulates is the part that compounds — a durable trail of advice given, followed or not, and what happened next — which is why a team three years in reads its accounts better than one in month two.
Coaching is only as good as what the coach knows about your market, and the usual fix — a longer form for the rep to fill in — is never finished and is wrong the quarter after it is. So Klosure keeps a short profile of how each seller sells and checks it against their own closed deals instead. Where the record disagrees with the profile it proposes the correction with its sample attached: six of your last nine recorded losses name budget, and the profile says security. The rep accepts it or rejects it; Klosure never rewrites their answer on its own, and a rejected claim is not raised again.
It asks the rep about their market rarely, and only when something actually changed — never on a schedule. Every line in the profile carries where it came from — typed by the rep, drafted from the company website, inherited from a colleague, or observed across closed deals — and the date somebody last agreed with it, so coaching standing on a guess is marked as a guess rather than presented as fact. What the company sells is shared across the team; what a particular rep sells into is not, because two reps at one vendor sell to different rooms.
When a deal names a competitor, Klosure researches that competitor per selling company and withholds a brief that has gone stale rather than quoting it with a caveat. What the seller's own closed deals record and what public sources say are shown as two separate labelled blocks and never merged, because a counted fact and a sourced claim are different kinds of knowledge. Every public finding carries its source or it is dropped. The output is questions to put to a buyer, never a claim about what a competitor cannot do, and none of it is ever shown to a buyer.
Your deal data is never used to train any AI model. Klo runs on frontier large language models accessed through enterprise API terms that prohibit training on customer data. Data is encrypted in transit and at rest in a managed PostgreSQL database. Access is enforced with row-level security in the database, not just the interface: reps see only their own deals, buyers see only the rooms they were invited to, and managers see only their team. Mailbox and CRM tokens are encrypted at rest with AES-256-GCM, buyer link tokens are stored only as SHA-256 hashes, and every inbound webhook is signature-verified. Deal rooms are private by default with no public discovery, and a buyer reaches a room only through a per-recipient link.
A CRM such as Salesforce or HubSpot records what the rep types; Klosure reads what the buyer actually does, and keeps the deal record from that, so it can be the system of record with or without a CRM. Digital deal rooms such as Aligned, Trumpet or GetAccept are seller-side content spaces where the rep uploads a proposal and hopes it gets read; Klosure adds an AI that tracks commitments on both sides, spots the moment one goes quiet, and drafts the follow-up for the rep to approve. Chat tools such as Slack or WhatsApp carry no deal context and no accountability. Klosure is the only one of the four that puts buyer and seller in one space, grades the forecast from buyer signals, works with no manual logging, and writes a post-close retrospective for every deal.
B2B sales teams, sales managers, and revenue leaders who want to actually move deals forward — not just log them in a CRM. Klosure fits any B2B team running considered, multi-stakeholder deals — SaaS, IT services and systems integration, and project-based revenue.
Klosure reads email, calendar, and meeting data from the tools your team already uses — Gmail, Outlook and Microsoft 365, Google Calendar, Zoom, Google Meet and Microsoft Teams. No manual logging, ever, and no CRM overlay to maintain. We don't read your CRM; we read your buyer.
On the CRM side, Klosure integrates natively with HubSpot and Zoho CRM only. Leads land in Klosure the instant they are created in either, and deals push back one-way, so a deal is never duplicated. Salesforce is not a native integration: Salesforce teams move deals across by CSV export, and every other CRM works the same way. Klosure runs alongside the CRM rather than replacing it.
No. There is nothing to log. Klosure reads email, calendar and meeting transcripts directly from the tools the team already uses and keeps the deal record itself — value, deadline, people, decisions, blockers, open questions, and who owes what. Mail lands against the right deal and never cross-contaminates another, and anyone new on a thread is recorded as a stakeholder, which is how Klosure notices people joining the conversation without anyone telling it. Adoption is not enforced, because there is nothing to enforce.
Stated plainly, because a vendor that only lists strengths is not describing a product. Klosure has no SAML single sign-on: accounts sign in with email and password today, and SSO is not available yet. There is no two-way CRM sync — deals push out one-way, leads pull in, and nothing edits a Klosure deal from the CRM side. There is no native Salesforce integration; Salesforce teams use CSV export. Klosure does not capture phone calls or WhatsApp messages, so a deal negotiated mainly on those channels will show less signal than one run over email and scheduled meetings. Klo never sends email on its own, which means a rep who never approves a draft sends nothing. These are current boundaries, not permanent ones, and we would rather be described accurately than generously.
Simple pricing, per seat per month — pricing is on request at support@klosure.ai. Quarterly and annual billing cost less per seat per month. One plan, with every capability included. The buyer side is always free and never pays.
Klosure is founded by Raja Komatipalli, a B2B sales operator with 15+ years of experience selling B2B software, primarily in L&D and HR SaaS across the Gulf and India. Klosure is built for sales leaders who want the truth.
Email: support@klosure.ai
Founder contact: raja@klosure.ai
Website: https://klosure.ai
Book a demo: https://klosure.ai/book-demo
LinkedIn: https://www.linkedin.com/company/klosureai/
Blog: https://www.klosure.ai/blog