The Ecosystem
Autonomous agents, AI-native apps, and the orchestration engines underneath. Three layers of tools architected for how forward-looking businesses actually run.
Three layers, one operating system
Every tool in the ecosystem sits at one of three layers. Agents act autonomously inside your workflows. Apps give your team an interface to expertise that used to live in someone's head. Engines coordinate everything underneath.
Work that runs itself
Task-specific autonomous agents embedded inside your operations. They act, not chat.
Interfaces to your expertise
Vertical-specific applications that turn tacit knowledge into structured, searchable tools.
The fabric underneath
Orchestration infrastructure: policy, memory, tool routing, and observability for production AI.
Autonomous agents, built for your operations
Task-specific agents that take action inside your systems. No dashboards to babysit, no summaries to skim.
Autonomous oversight across every active engagement. Tracks delivery velocity, surfaces blockers, and synthesizes status rollups across clients, jobs, and teams.
Real-time production tracking and exception handling. Monitors work orders, flags variance against plan, and routes interventions before they become delays.
Autonomous scheduling for crews, equipment, and site logistics. Continuous optimization against weather, availability, and shifting job constraints.
Instance segmentation on architectural blueprints. Extracts linear footages, surface areas, and component counts without a human in the loop.
Apps that compound the work you already do
End-user applications that turn conversations, documents, and tribal knowledge into structured intelligence.
Conversational search for building codes. Localized RAG over municipal codes and project specs with inline citations to the source clause.
Mobile, smart glasses, and drone-integrated visual intelligence. YOLO and ViT-Det models for PPE compliance, automated punch lists, and quality inspection.
Synthesizes QBO and CRM data into a real-time picture of completed jobs versus realized revenue. Project mapping, margin analysis, and time tasking.
The infrastructure everything runs on
Engines coordinate the agents and apps above, with guardrails, observability, and memory built in from the start.
The engine behind Cadence the app. Bot-free transcription, semantic memory across every conversation, and structured extraction of decisions, action items, and commitments. Vertical-specific intelligence templates layer on top.
Runs four to six deep research agents in parallel across different foundation models, then synthesizes findings with cross-referencing, confidence scoring, and divergence flagging. Powers prospecting, due diligence, competitive intelligence, and market research from one pipeline.
Claude Opus reasoning paired with Playwright for end-to-end web task execution. Drives form fills, multi-step navigation, and authenticated session workflows where APIs do not exist or are insufficient.
Ingests vendor data from URLs, PDFs, catalogs, and screenshots into a unified product schema, validates selections against project requirements, and distributes structured specifications to clients, trades, vendors, and every downstream system that needs them.
Connector-driven reasoning that ships work product. Pulls from CRM, email, Drive, and ERP via MCP, normalizes everything into one searchable corpus, retrieves with IP-aware redaction, reasons in multi-agent passes, then takes action through human-approval gates.
Ready to embed the ecosystem?
45-minute strategy session to see which agents, apps, and engines fit your operations.