AI platforms we've
built and deployed.
We build ontology-backed applications, agentic workflows, analytics, prediction, recommendations, and operational tools that help organizations turn process into better decisions.
We build the operating layer where people, process, data, and AI meet.
Our portfolio is not a collection of disconnected apps. It is a set of AI platform patterns we build and deploy for organizations that need better decisions, faster execution, and software that fits how their people actually work.
Captify gives us the reusable foundation: ontology, schemas, app builder surfaces, workspaces, agents, widgets, analytics, document intelligence, governance, and secure deployment. We use that foundation to turn business process into practical AI-powered applications.
Forward Deployed Engineers work alongside users to understand the workflow, build the first useful capability, and keep improving it with feedback from the people accountable for the job.
Ontology-Led Operations
We model the people, assets, processes, requirements, controls, suppliers, tasks, and decisions that make an organization work, then build applications on top of that shared operational truth.
AI Agents With Tools
Agents retrieve knowledge, inspect data, summarize evidence, draft actions, and coordinate workflow while staying bound to approved tools, permissions, audit trails, and human review gates.
Analytics And Prediction
Dashboards, scoring models, anomaly detection, trend analysis, forecasts, risk signals, and confidence bands help teams see what changed, what is likely next, and where attention is needed.
Recommendations And Decisions
We build decision support that ranks options, explains tradeoffs, recommends next actions, and keeps the final decision visible to the people accountable for the outcome.
Workflow Applications
Forms, approvals, task queues, ticketing, review boards, playbooks, and status views turn analysis into repeatable business process instead of another dashboard no one acts on.
Forward Deployed Engineering
Our engineers work with the people doing the job, map the real workflow, ship the first useful tool quickly, and keep iterating until the software fits the organization.
From process map to deployed AI workflow.
The business value is in the loop: what people see, what actions they take, what data changes, what the system learns, and how leaders know the work is moving.
Discover the operational decision, not just the software requirement.
Map the ontology: entities, relationships, owners, actions, events, and measures.
Build the workflow surface people need: lists, forms, dashboards, approvals, and collaboration.
Add AI where it changes the work: search, summarization, prediction, recommendations, and agent assistance.
Deploy with governance: permissions, audit logs, human review, model boundaries, and feedback loops.
Captify
AI Platform For Operational Work
Captify is our platform for ontology-backed applications, schema-driven data, agent workspaces, widgets, workflows, analytics, recommendations, and governed AI tool use.
XR Defense
Forward Deployed AI Engineering
Forward Deployed Engineers, data scientists, and AI specialists work with mission and business teams to build the tools their people need: secure workflows, analytics, agents, and decision support.
Milhub
Industrial Intelligence Network
Operational tools for manufacturing, supply chain, readiness, facilities, vendors, and production planning. The platform connects business process to prediction, risk, and recommendation loops.
VeriPicks
Prediction And Recommendation Engine
A working example of our analytics pattern: ingest data, model outcomes, detect signals, rank recommendations, explain confidence, and deliver decision-ready insights to users.
KOMIKAZE.AI
Human-In-The-Loop AI Production
AI production workflows for generating, reviewing, iterating, approving, and publishing work. It turns creative process into a managed pipeline with memory, standards, and reuse.
TITAN
Strategic Operations Platform
AI-assisted planning and execution: goals, initiatives, workstreams, risks, deliverables, evidence, and status signals in one operational picture for leaders and teams.
Cage
Secure Deployment And Governance
Infrastructure patterns for regulated AI systems: tenant isolation, RBAC, encrypted credentials, audit logging, secure integrations, and deployment controls.
Built on the bleeding edge.
Every layer compounds capability across the entire portfolio.
