Applied AI, Agents & Machine Learning
Computer vision, predictive models, AI agents, RAG pipelines, and ML workflows that turn historian, sensor, document, and enterprise data into decisions operators and managers can act on.
Industrial software, applied AI, operational analytics, HMI, automation, and OT/IT integration for teams that need systems to hold up in production.
From industrial integration and operational analytics to applied AI, automation, HMI, and production software, each line is delivered by a dedicated engineering team. We design the architecture, build the system, integrate with industrial environments, and stay accountable through deployment, support, and continuous improvement.
Computer vision, predictive models, AI agents, RAG pipelines, and ML workflows that turn historian, sensor, document, and enterprise data into decisions operators and managers can act on.
Dashboards, KPIs, PI System views, integrated operations center screens, executive views, and real-time insight that unify process, maintenance, business, and sensor data into a governed decision layer.
Automating manual, cross-system processes — capture, validation, approvals, reporting, alerting, and human-in-the-loop agent workflows — to remove repetitive work without losing control.
Protocol collectors, data bridges, and integration services for OPC UA, OPC DA, Modbus, MQTT, PLC, DCS, SCADA, historians, ERP, cloud platforms, and business applications.
Full-stack applications, PI Vision custom JavaScript, touchscreen interfaces, role-based portals, APIs, data services, cloud infrastructure, and secure on-premise deployments.
Advising industrial clients on digitizing operations end to end, prioritizing where AI, agents, analytics, integration, and software can create measurable operational value.
Our delivery system includes industrial connectivity patterns, protocol bridges, certified AVEVA PI System work, edge services, private AI agents, dashboards, HMI patterns, APIs, deployment scripts, and support tooling that can be adapted to each client instead of reinvented every time.
Reusable patterns for OPC UA, OPC DA, Modbus, MQTT, historian, PLC, and DCS acquisition across constrained industrial networks.
Bridges, mappers, buffers, store-and-forward pipelines, quality mapping, tag normalization, and reliable forwarding into enterprise or cloud systems.
PI data models, PI Web API integrations, AF/event-frame-aware applications, and advanced PI Vision UI customization with JavaScript.
Computer vision services, event pipelines, local monitoring, and air-gapped deployment models for safety, quality, and industrial inspection.
Natural-language assistants and tool-using agents connected to real process data, documents, procedures, tickets, alarms, and approval flows.
Role-based web applications, executive views, maintenance portals, and command-center dashboards designed for repeated operational use.
ISA 101-aligned HMI design and modernization for Foxboro, Schneider, Honeywell, AVEVA, and other industrial interface environments.
Operator-facing touchscreen applications and panels for Schneider and multi-vendor systems, built for clarity, fast action, and plant-floor durability.
FastAPI, Node, and .NET service patterns for authentication, integrations, scheduled jobs, database access, reporting, and enterprise workflows.
We connect the systems that run operations with the systems that run the business — one continuous, trusted flow of data that can feed analytics, automation, AI agents, and executive decisions without breaking industrial constraints.
We believe in systems that hold up under operational reality: incomplete data, restricted networks, urgent decisions, human teams, shift changes, and continuous production. Technology should reduce uncertainty, improve decision quality, and earn trust through measurable results.
Design from operating constraints, not ideal assumptions.
Every flow should clarify what is happening and what action comes next.
Autonomy needs context, limits, traceability, and human control where it matters.
Networks, security, deployment windows, shifts, and support are part of the design.
A solution proves its value after launch, under real operating conditions.
We embed a dedicated team that operates as an extension of yours: transparent, accountable, and shipping on a steady cadence. The model covers discovery, architecture, implementation, QA, deployment, and production support without forcing your team to coordinate fragmented vendors.
Industrial software has to fit constrained networks, regulated operators, audit trails, uptime windows, security reviews, and handover. These are the requirements we design into the work from day one.
OPC UA, OPC DA, Modbus, MQTT, historian, PLC, and DCS acquisition with buffering, quality mapping, and protocol conversion.
PI AF models, PI Web API integrations, Event Frames, PI Vision extensions, and JavaScript customization for operational views.
Dashboards for control centers, operational war rooms, executive visibility, and cross-functional decision support.
Capturing, storing, and querying high-frequency process and telemetry data at scale.
ISA 101-compliant operator interfaces for Foxboro, Schneider, Honeywell, AVEVA, and other environments, engineered to cut cognitive load and time-to-response.
Touchscreen interfaces for operator stations, panels, and industrial workflows across multi-vendor control environments.
Stable models for process, maintenance, ERP, geospatial, and business data across teams and systems.
Low-latency acquisition and processing close to the operation, with reliable synchronization upstream.
Segmented, defense-in-depth designs aligned to industrial cybersecurity standards and review processes.
Traceable changes, approvals, data lineage, and controls for regulated or high-accountability environments.
Logging, monitoring, diagnostics, and support hooks that make production systems easier to operate.
Repeatable environments, CI/CD pipelines, deployment windows, rollback paths, and release documentation.
Test evidence, operating documentation, training support, and clean ownership transfer after launch.
Reference stack and platforms used on delivery. This is evidence of operating range: OT systems, enterprise applications, data stores, edge workloads, cloud infrastructure, and private AI environments.
Control-room platforms, HMI, historians, safety systems, PLC/DCS/SCADA environments, and the constraints that come with regulated operations.
Protocol acquisition, quality mapping, buffering, conversion, and reliable movement of plant-floor data into operational and enterprise systems.
Certified PI System engineering for models, integrations, event context, operational views, and advanced PI Vision customization.
Operational portals, executive dashboards, control-room support tools, and role-based interfaces for repeated daily use.
APIs, integration services, event processing, business logic, authentication, authorization, and operational data services.
Data models, corporate access layers, analytics stores, time-series pipelines, and governed decision-ready datasets.
Agent runtimes and RAG workflows with private data access, tool boundaries, approvals, and monitoring.
Low-latency processing, model execution, data streaming, and AI workloads close to the operation.
Repeatable delivery pipelines, containerization, environment strategy, observability, and auditable production releases.