High-stakes conversations — sales calls, salary negotiations, vendor deals — rarely go the way you expect. Dialectiq gives you a realistic sparring partner, a strategy engine that has evaluated thousands of possible moves, and a feedback loop that shows you exactly where you went wrong and what would have worked better.
Your live-deal workspace. Brief it on a real negotiation and it builds a strategy playbook, asks probe questions to close your blind spots, and updates the plan as the deal moves.
Uses all three: a persona model of your real counterpart, strategic search over your actual situation, and intelligence that compounds as you log what happened.
Your training room. Spar against adaptive personas in text or voice, ask for a strategy analysis when you're stuck, and get a debrief on what would have worked better.
Uses all three too — the same engine, pointed at skill-building instead of a specific deal.
A direct, data-driven approach might work with one counterpart but backfire with another who values relationship-building first. Generic roleplay misses this entirely. Dialectiq builds virtual individuals from three composable layers.
A cognitive profile — how they process information, make decisions, handle conflict, respond to pressure. Communication style, emotional triggers, risk tolerance, decision patterns. Not surface-level labels.
A CFO negotiating a vendor contract behaves differently from a hiring manager discussing salary. Every persona is grounded in a specific role, industry, scenario, and set of constraints you define.
Controlled randomness — hidden motivations, varying resistance levels, undisclosed constraints. You can't memorize answers, only build real skill. Thousands of unique virtual individuals, each requiring genuinely adaptive approach.
When you ask for a hint, Dialectiq simulates thousands of ways the conversation could play out — the same family of search techniques behind chess engines (Monte Carlo Tree Search, for the curious). Most simulated paths end in failure. The engine finds the specific sequence of strategies with the highest probability of reaching your goal.
Twelve negotiation strategies, six tonal variations, 72 distinct moves — each tailored to different personality profiles. The engine tracks momentum turn-by-turn and evaluates each exchange against your counterpart’s profile. The hint you see is the move that scored highest across thousands of continuations of your conversation, against your counterpart, at this point.
Speak naturally with the microphone button — the AI persona responds with a voice matched to their personality. Three difficulty modes scale the pressure. The timer starts after the persona finishes speaking; if it runs out, whatever you’ve said gets sent. Just like a real conversation where silence is its own signal.
You can — but asking a chatbot to help you negotiate is like asking a chess engine to play both sides. Dialectiq separates the counterpart from the coach, so the counterpart fights back realistically while the coach searches thousands of moves to find your best response.
The strategies the engine discovers are grounded in negotiation theory, tested across thousands of simulated conversations, and tailored to the personality you’ll face.