Nevari, a UK-based AI infrastructure firm, has launched Kassper, a managed outbound service that books qualified sales and investor meetings for businesses. The service pairs an AI agent stack with a human Nevari operator on every plan, starts at £1,000 per month with no setup fees, and promises a first booked meeting within two weeks - rather than the six-week ramp typical of traditional outbound programmes.
Kassper is not a greenfield experiment. It productises the outbound systems Nevari built, automated and refined for its own business development, born of the firm's first-hand experience of spending heavily on internal SDRs, external agencies and disconnected software platforms that failed to deliver.
How Kassper works
The client experience is deliberately simple: they open their calendar and see qualified meetings. Behind the scenes, Kassper sources and verifies contact data, writes and sends personalised outreach across email and LinkedIn, keeps messages landing, and routes interested replies straight into the diary.
At the core is a signal engine that tracks when a potential buyer or investor enters a buying state. It monitors nine categories of intent: job changes, funding rounds, competitor engagement, news mentions, hiring spikes, event activity, content engagement, membership of relevant professional groups, and accepted connection requests. These signals shape who is contacted, when, and with what message. Sales teams exploring similar intent-based outreach in their own work can go deeper with AI for Sales.
Human oversight is built in rather than bolted on. A Nevari operator reviews and triages every reply, outreach is tuned to each client's brand voice, and nothing is sent that reads like a bot. For founders whose reputation with investors is the asset, that oversight is the point.
Matthew Aizen, founder and CEO of Nevari, said: "We built Kassper for ourselves first. We were trapped between unmanaged software and expensive headcount, buying tools and then spending the week on technical housekeeping instead of closing. So we engineered the system we wished existed, ran it on our own pipeline, and productised it. The AI agent stack handles the volume and the personalisation, and a human operator owns the execution. For clients, that means the pipeline grows while they run the business, whether that pipeline is customers or capital. If it cannot be measured in booked, qualified meetings, it does not count."
Built for two pipelines: customers and capital
Kassper applies its core methodology (buyer intent signals, outreach volume and hyper-personalisation) to both sales and fundraising. Founders preparing a raise face the same structural problem as sales teams: generic pitches blend into crowded investor inboxes, manual research is slow and low-yield, and past conversations go cold without consistent follow-up.
For fundraising, the service systematises investor identification, qualification and personalised outreach, and uses transcription-based follow-up to keep historical investor relationships warm. Raising capital happens in parallel with building the business rather than instead of it.
Pricing and integrations
Kassper's commercial model departs from software convention. Clients pay for sending capacity rather than seats. There are no per-seat charges, no mailbox fees and no setup fees. Contact enrichment beyond the included monthly allowance is priced at cost, flat across every tier. Plans start at £1,000 per month, with minimum terms measured in months rather than years. Enterprise programmes target more than 80 qualified meetings per month.
Booked meetings and qualified leads flow directly into HubSpot, Pipedrive, Salesforce or Go High Level through native integrations at the relevant tiers. Kassper is available now; demos can be booked at kassper.app.
Why this matters for sales professionals
The practical takeaway: a managed outbound service can put qualified meetings on the calendar within two weeks, with human oversight protecting brand voice and investor relationships. The model shifts the cost of outbound from headcount and software subscriptions to a flat monthly fee tied to sending capacity, and the signal engine flags early churn indicators - such as negative sentiment in meeting transcripts - so teams can intervene before losing a relationship.
For sales reps who want to build these capabilities internally rather than buy them as a service, the underlying skills are learnable. AI for Sales Representatives training covers the techniques used in AI-driven prospecting and outreach.
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