Built in our business first. Deployed in yours next.
Autonomous agents. A command center that orchestrates them. Continuous learning loops. We built it for our own business first. Now we bring it to yours. When frontier models are within 2.7% of each other,1 execution is the moat.
Orchestration and observability.
A central command center coordinates autonomous agents across every function. It logs decisions, tracks outcomes, and surfaces the signals leaders need.
Central command center coordinates agents, monitors quality, and logs decisions across every business function.
Hover over nodes to explore each function.
11 business functions, unified.
Every core function integrated into a single AI-native operating model.
Operations
Workflow automation, scheduling, and process orchestration across the business.
Finance
Bookkeeping, invoicing, forecasting, and financial reporting.
CRM
Client data management and pipeline intelligence.
Sales
Lead scoring, outreach automation, and deal intelligence.
Marketing
Campaign management, content creation, and analytics.
Support
Ticket routing, resolution automation, and quality monitoring.
Product
Roadmap tracking, sprint planning, and feature prioritization.
Software Dev
Code review, deployment automation, and technical operations.
Security
Threat monitoring, access control, and compliance automation.
Legal
Contract review, compliance tracking, and risk analysis.
Business Intel
Data analysis, reporting, and trend detection across operating data.
Autonomous agents doing real work.
Agents handle multi-step workflows, escalate exceptions, and keep humans focused on decisions. On OSWorld, a benchmark of real computer tasks across operating systems, agent task success jumped from 12% to 66% in one year.2
Client intelligence
Monitors accounts, surfaces signals, and prepares executive briefs.
Product operations
Tracks build progress, prioritizes tasks, and coordinates delivery.
Risk and compliance
Assists with governance, documentation, and review workflows.
The system improves itself.
Every workflow runs through a feedback loop: execute, observe, refine. This keeps the system reliable and aligned with the business as it evolves.
Argus360
Argus360 is the most visible product example of our AI-native operating model: a base semantic AI intelligence layer over a firm's knowledge, with industry- and process-specific modules on top, licensed and hosted by Soligence.
Why it matters
Built with the same architecture we deploy to clients.
Orchestration, agent workflows, and observability are baked into the core.
Continuous learning loops keep the system aligned with business goals.
See what this architecture looks like in your business.
We bring the same architecture and capability transfer approach to client teams.
Intro call
30 to 45 minutes. You describe the bottleneck; we tell you honestly whether AI is the right lever and what discovery would cover. No deck, no pitch.
Discovery
Two to four weeks. We map the workflows, data, and controls, baseline the value, and return a scoped plan with timeline and pricing. Starts at $5K, credited in full toward project work that begins within 60 days.
Project work
Argus360 for the core customer and deal intelligence, custom builds by our AI Factory for what a module does not cover. Structured the way you and we agree is best: a fixed-scope sprint, a multi-phase build, an ongoing operations partnership, or fractional AI leadership.
Most engagements follow this pattern. See how we work.
Sources
1. Stanford Institute for Human-Centered AI, Artificial Intelligence Index Report 2026, April 2026: U.S.–China frontier model performance gap has effectively closed; as of March 2026, the top U.S. model led the top Chinese model by 2.7% on the Arena Leaderboard.
2. Stanford Institute for Human-Centered AI, Artificial Intelligence Index Report 2026, April 2026: AI agent task success on OSWorld rose from roughly 12% to 66.3% in one year, within 6 percentage points of human performance.