Six solutions
Proven in Beyond Skyrim; deployable agent products and services across industries
7×24 investment solution
All-Day, Full-Network Intelligence & Decision Support
For funds, family offices, and individual investors: 24/7, full-network intelligence and investment decision support powered by multi-agent markets. Markets never sleep and information is scattered and noisy; traditional manual monitoring and single data sources can’t cover breadth and speed. This solution productizes Agent Exchange from Beyond Skyrim: hundreds to thousands of agents in parallel cover global news, research, and alternative data, with automated synthesis, consistency checks, and scenario modeling for explainable, auditable decisions.
Multi-source intelligence aggregation and denoising; cross-market, cross-asset scenario and stress testing; strategy backtest and attribution; event-driven alerts and scenario playbooks. Integrates with mainstream feeds, research, and custom data; compliance and audit ready.
PE, hedge funds, family offices, HNW investors, and teams that want a second opinion or quant support.
Better decisions and faster response; fewer blind spots and delays; multi-scenario comparison to reduce black-swan misjudgment; auditable reasoning for compliance and risk narratives.
Super-individual & digital workforce
Autonomous Enterprise & Digital Workforce
Help enterprises build super-individual companies or digital workforce networks with automated acquisition, operations, and management in real workflows. Based on Agent Corporation’s multi-role collaboration (CEO / Manager / Executor), “who does what, when” is handled by configurable, measurable agent clusters; humans focus on strategy and exceptions. From single-department pilots to group-wide rollout; integrates with CRM, ERP, ticketing.
Multi-agent roles and task orchestration; lead assignment, follow-up, and conversion automation; approval flows, scheduling, and resource allocation; full observability, intervention, and rollback. On-premise and data-sovereign options.
Mid-to-large enterprises and multi-branch groups seeking efficiency; sales- and operations-heavy sectors (retail, services, manufacturing); super-individual founders exploring “one-person company + AI.”
Less repetitive work and labor cost; shorter lead-to-close cycles; standardized, auditable operations; consistent efficiency as you scale.
AI security & hardening
AI-Driven Attack Detection & Defense Hardening
When both attackers and defenders use AI, enterprises need to detect and block AI-driven attacks (deepfakes, automated social engineering, adversarial samples, agent abuse). This solution productizes Agent Battlefield red-blue capability: run multi-agent offense/defense in controlled environments, continuously generate new attack vectors, validate defenses, and turn results into rules, models, and playbooks for production detection and response—a “exercise → discover → harden” loop.
Red-blue sandbox and playbook library; AI attack behavior detection and attribution; automated defense testing and tuning; SIEM / SOAR integration and alerting. Custom scenarios by industry and compliance.
Finance, government, healthcare, large internet companies with high security and compliance needs; security vendors and MSSPs building AI-era offense/defense.
Find vulnerabilities and misconfigurations before go-live or in regular drills; validate defenses under “hacker-grade AI” pressure; reproducible evidence and improvement records for regulators and auditors.
Social & media simulation
Social Networks, Media & Election Simulation
Large-scale agent society simulation (Civigenesis experiments) for social network simulation, media and public opinion analysis, major-event forecasting (e.g. elections, policy rollout, brand crises). In a digital-twin information environment, agents have social graphs, influence, and diffusion behavior; we simulate opinion formation, polarization, and diffusion paths to give brands, media, and public bodies explainable “what if” scenarios for PR, content, and public communication.
Large-scale social graphs and diffusion simulation; hotspot and diffusion path visualization; multi-scenario comparison (narratives, interventions); calibration with real opinion data. Custom audience and diffusion rules.
Brand and PR teams, media and think tanks, government comms and opinion monitoring, campaigns and policy advocacy.
Understand how opinion evolves and where key nodes are; quantify strategy and crisis plans; better understanding and response to complex social information environments.
Policy & public opinion
Policy Simulation & Public Opinion Forecasting
Support governments, think tanks, and public bodies with policy and public-opinion forecasting and policy-design scenario simulation. Based on Polis governance experiments (multi-agent games and rule emergence), we model policy options, stakeholders, and constraints as agents and rules, then simulate opinion change, implementation resistance, and long-term effects under different policy mixes—for policy argumentation, public communication, and iterative design. Data and models can be isolated for government security and compliance.
Multi-option policy scenario simulation; opinion and interest-group evolution; sensitivity analysis and key variable identification; fusion and validation with survey and statistics. Custom domain models and reporting.
Central and local government, policy research, legislative and advisory bodies, international organizations and NGOs, public policy research.
Multi-option comparison and sensitivity analysis for more scientific, explainable policy design; lower “gut feel” risk; higher acceptance and implementation success.
Research acceleration & knowledge iteration
Research Acceleration & Domain Knowledge Iteration
For universities, labs, and research institutes: faster domain knowledge iteration and paper-grade output via multi-agent collaboration and knowledge networks (AI Noosphere). Agents handle literature search and review, hypothesis and experiment design suggestions, data interpretation and visualization, drafting and revision; researchers keep topic choice, review, and creative judgment. From single-discipline to cross-disciplinary projects; integrates with existing literature, lab platforms, and collaboration tools.
Agent-assisted literature review and knowledge graphs; hypothesis–experiment–conclusion iteration; multi-role review and revision workflows; traceable citations and contributions, aligned with academic norms.
University labs, institutes, corporate R&D, cross-disciplinary projects, teams that need to digest large literature or shorten paper cycles.
Faster hypothesis validation and literature synthesis; shorter idea-to-paper; better cross-disciplinary reuse; researchers focus on high-value creation within compliance.