LONDON - Nevari, a UK-based AI infrastructure firm, has launched Kassper.AI, a managed outbound service that books qualified meetings for B2B sales teams and, in a new application of the same system, founders raising investment. The platform pairs a proprietary AI agent stack with a human operator on every plan and is built to move from sign-off to a first booked meeting within two weeks, rather than the six-week ramp typical of traditional outbound programmes.
For clients, the 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.
Kassper is not a greenfield experiment. The service productises the outbound systems Nevari built 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.
Built for two pipelines: customers and capital
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.
Kassper applies its core methodology - buyer intent signals, outreach volume and hyper-personalisation - to both problems. For fundraising, it systematises investor identification, qualification and personalised outreach, and uses transcription-based follow-up to keep historical investor relationships warm, so raising capital happens in parallel with building the business rather than instead of it.
Signals, not volume alone
At the core of the platform is a signal engine that tracks when a potential buyer or investor enters a buying state. It monitors nine categories of intent signal: 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.
Once clients are won, the same engine flags early indicators of churn, such as negative sentiment detected in meeting transcripts or requests that go unanswered, giving teams the chance to intervene before a relationship is lost.
Because every message goes out in the client's name, 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."
Priced for risk, not lock-in
Kassper's commercial model departs from software convention. Clients pay for sending capacity rather than seats: 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.
For sales professionals, the practical question is whether outsourced outreach can hold up on quality. Kassper's answer is to keep a human in the loop on every account, which addresses the common failure point of fully automated tools: replies that read like bots and damage the sender's reputation. For teams evaluating options, the measurable benchmark is simple - booked, qualified meetings - and the two-week onboarding window is short enough to test the model without a long-term commitment.
Sales teams already working with AI tools may find the platform's intent-signal approach worth studying. The same logic - track buying signals, personalise at scale, follow up consistently - applies to in-house outbound operations, and the AI for Sales resources cover the underlying techniques in more depth. Business development managers building their own playbooks can also explore the AI Learning Path for Business Development Managers, which covers the skills needed to run signal-driven outreach internally.
Why this matters for sales professionals
Kassper is a test of whether AI-led outbound can deliver on its promises without burning the trust of the people it contacts. For sales teams, the model worth watching is the hybrid approach: AI handling volume and personalisation, humans owning judgment and relationships. If it works, it puts pressure on traditional SDR hiring models and on software tools that require heavy setup before they produce results. The two-week window to first meeting is the metric that matters - it resets expectations for how fast outbound can move.
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