Real-time judgment, in the flow of the call.
Kairos joins your team's sales calls, listens to the conversation as it unfolds, and surfaces the right move at the right moment. The system reads the prospect's signals, sees where the deal is going, and shows the rep the question, objection pivot, or competitive position that fits the moment. Considered, not reflexive.
The rest of this page explains how that works. The architecture, the methodology layer, and the learning loop that makes every call sharper than the last.
It listens end to end, judges properly, and delivers in the moment.
Kairos joins the call as a meeting bot or listens silently via the Chrome extension. It hears the whole conversation and holds the full context from open to close — not a rolling window, the entire arc. When a moment lands, it runs the read on high-performing models, the way a senior sales leader would think it through, and delivers the move to the rep's screen.
Only the delivery is built for speed. The judgment is built to be right. That's the trade Kairos makes on purpose: a move that's considered, not reflexive — arrived at properly, in time to change the outcome.
LISTEN
Joins the call as a meeting bot or via the Chrome extension and hears every word, from open to close
END TO END
HOLD
Keeps the whole conversation in context — the full arc, not the last thirty seconds
THE WHOLE CALL
JUDGE
Runs the read on high-performing models, the way a senior sales leader would think it through
CONSIDERED
DELIVER
Ships the move to the rep's screen, with optional SMS, when the moment lands
FIRES FAST
Considered judgment, delivered in the moment. It speaks rarely, by design.
Three layers of memory. One holds the live call.
Judgment is only as good as the context behind it. Kairos runs a three-layer memory architecture so that when a moment lands, everything the read needs — the call so far, the deal, the playbook — is already in hand.
L1 / HOT
Redis, in-memory, per session
The live call, held in full: the transcript from open to close, pre-assembled context for the read, live call state, and the last few surfaced moves so Kairos knows when to stay quiet. Destroyed when the call ends.
L2 / WARM
Supabase, loaded once at call start
Full deal history, rep profile, MEDDPICC state, competitive intel, target call state. Loaded once at call start, held in memory throughout. Never queried again during the call.
L3 / COLD
Supabase plus sales methodology RAG
Full playbooks, methodology configs, objection patterns, buying signals. Queried before the call starts. Relevant chunks promoted into L2 and L1. Never touched during the live call.
The rule: everything the judgment needs is loaded before the call starts. The live call itself is held in full.
Calibrated to the methodologies your team already runs.
What Kairos surfaces is not generic AI output. It is calibrated to Challenger Sale, MEDDPICC, and any custom playbook your CRO has built. The system tracks methodology coverage in real time and surfaces the move that aligns with the framework your team is trained on.
When the system fires, it is because the methodology says to fire. Not because an LLM had a creative moment.
MEDDPICC · ECONOMIC BUYER
20 minutes into call, EB not identified.
Who else at [company] would need to weigh in on a decision like this?
CHALLENGER · TAKE CONTROL
Rep stuck in teach phase, prospect engagement declining.
You mentioned implementation risk earlier. How is that affecting your timeline?
CUSTOM PLAYBOOK · COMPETITIVE
Competitor name detected with 90% confidence.
Worth asking what specifically about [competitor] is on their shortlist.
Read the room. Shape the call.
Most AI sales tools are reactive. Kairos is built to go further. As the reactive layer proves out, Kairos is learning to read where a conversation is heading — moving toward anticipating the objection forming three turns ahead and surfacing the move that reframes the deal before it lands.
Objection prediction.
When the prospect is building toward an objection — switching cost, pricing pushback, vendor risk — Kairos is learning to recognize the pattern early and surface a preemptive question that reframes the issue before it becomes a blocker.
Buying signal detection.
Kairos is moving toward tracking the structural patterns that signal readiness — timeline questions, colleague references, pricing re-engagement — and showing the rep how to capitalize the moment they appear.
Path correction.
Kairos is being built to compare a call's live state against where it should be at that point in the deal stage — and surface the corrective question when a rep drifts off-path, misses MEDDPICC elements, or stalls in the wrong methodology phase.
Every call makes the next call better.
Kairos learns from three signals. Whether the rep used the move. Whether the deal advanced. Whether the prediction came true. Each signal feeds back into rep profiles, the methodology layer, and the underlying pattern library.
The result is a system that gets sharper with every call. Reps with confirmed blind spots get sharper judgment on those dimensions. Objection patterns that do not predict well get suppressed. Buying signals that consistently lead to deal advancement get weighted more heavily.
Over a quarter of calls, Kairos becomes a system tuned to your specific deals, your specific reps, your specific market. The moat widens.
30 days. Your team. Your deals.
Pilot Kairos on real calls with real reps. Decide for yourself whether real-time judgment moves the numbers.