We fuse behavioral science with AI to forecast leader and market moves, stress-test strategy, and build crisis-ready leadership systems.
Behavioral-AI forecasts, market/adoption modeling, policy impact simulations.
Strategy under uncertainty, red-team scenarios, decision architecture, risk guardrails.
Offsites and executive roundtables that turn insight into operating rhythm.
Neuro-agile decision making, cross-cultural execution, AI literacy for boards.
We model cognitive bias, power dynamics, and decision cadence—not just price and press releases.
NLP on leadership signals, agent-based simulations, and RAG on proprietary corpora to spot inflections 6–18 months early.
ASEAN × MENA × EU behavioral baselines reveal convergence/divergence you can arbitrage.
We don’t stop at a memo; we embed checklists, playbooks, and decision rights you can audit on Monday.
Leader communications, board changes, hiring flows, policy drafts, sentiment, and supply signals.
Time-series + causal inference + agent-based behavior models; adoption curves calibrated by culture.
Dashboards for forecast confidence, Brier scores, and drift alerts; everything traceable and replayable.
Expert review to curb false positives; interpretability over black-box theatrics.
Game-theory and Monte Carlo runs to pressure-test strategic options before you commit.
Quarterly foresight briefs, sector watchlists, regional heatmaps, executive digests.
Market-entry timing, competitor intent, policy-to-practice pathways, tech adoption likelihood.
Invite-only roundtables for CXOs and policymakers; Chatham-style sessions with action logs.
One-day to 30-day sprints on decision hygiene, cross-cultural execution, and AI governance.
On-the-ground pilots with cohort teams to pressure-test growth hypotheses (pricing, channels, PMF), capture real-market signals, and produce scale-up playbooks with pre/post metrics and decision checkpoints
Brier score, lead-time advantage, calibration curves.
Δ between predicted vs. realized uptake by market.
Time-to-decision and error-rate under simulated stress.
Predicted vs. enacted rule trajectory; implementation lag.
Uptake of playbooks in live meetings within 30/60/90 days.
Market entry timing, competitor intent, and blind-spot audits.
Early inflection detection, policy-sensitive theses, downside scenarios.
Sector playbooks, member preparedness, standards roadmaps.
Policy impact modeling that accounts for real human behavior.