NiaKai

The moments that decide a deal happen live on the call and in the follow-through, and most of that signal is gone the moment the call ends.

Zellaris by NiaKai is an agentic sales assistant that supports reps live on every call and turns each conversation into deep post-call, campaign, and deal analytics, so teams see what is working, fix what is not, and close more.

The situation

Deals are won and lost in the conversation. The objection raised in passing, the buying signal, the shift in who is really driving the decision, all of it happens live on the call, and most of it is gone the moment the call ends. The first challenge arises on the call itself, where questions and objections arise, and reps have to scramble through the knowledge within their head to answer. Your responses and how you deal with situations determine whether the deal will survive to see the next steps or not. Next challenge is post-call. Reps are busy talking, not transcribing, so the context that mattered lives in one person's memory, if anywhere. Afterward the team is left guessing: which parts of the pitch are landing, where follow-up is stalling, which warm leads deserve attention, and who in the account is the champion and who is the blocker. The information a team needs to close more, and to close better, is generated on every call and then lost.

Why it was hard

The tempting version is a call recorder that spits out a transcript. A transcript is not insight. The first hard part is reading a live, multi-party conversation as it happens, telling a genuine buying signal from noise, catching the objection and the questions that get asked that matters, and surfacing it to the rep in the moment without flooding them or inventing signals that were not there. The second is turning many messy conversations into reliable, comparable analytics: where messaging is landing across deals, where follow-up is leaking, and which patterns separate the deals that close from the ones that stall. The third is judgment about the account, working out from what was said who is the champion, who influences, who decides, and who is blocking, because getting those roles wrong sends a team chasing the wrong person. Understanding a conversation, and drawing trustworthy conclusions from many of them, is the real problem.

The approach

Sellaris supports a sales team where deals are made, on the call and in the follow-through. During a live conversation, the assistant listens and surfaces objections, responds to queries, uncover buying signals, and next steps as they arise, giving the rep the context to act, not scramble. Afterward, it turns each call into extensive analytics: post-call insights on what worked, campaign analytics across the pipeline, and deal analytics mapping who the champion, influencer, decision-maker, and blocker are, plus where messaging and follow-up are breaking down. The same engine also powers realistic sales simulations that let reps rehearse hard conversations before a real one.

What happened

Teams stop losing the signal that used to vanish after every call. On the call, the context that once lived in a rep's memory is captured and put to work at once. Afterward, the guessing gives way to evidence: the team can see which messaging lands, where follow-up leaks, which warm leads to chase, and who really moves each deal, and reps who rehearse against simulated calls arrive sharper. Decisions that used to run on gut now run on data, and the admin work that buried reps drops sharply. Zellaris by NiaKai is being rolled out to B2B sales teams, built alongside a founder with decades in enterprise sales.

What this means for you

If you run a sales team, you already know the quiet loss: everything that decides a deal happens in the conversation, and almost none of it survives the call. The bottleneck was never your people. It was that the signal in every call went unread, so follow-up stayed generic and decisions ran on memory. That is what Zellaris changes, lives on the call and in the analytics after it, and it is the shape of what becomes possible when sales expertise and agent infrastructure are built together.