Agentic AI Apps & Solutions for Every Industry
We design intelligent applications and autonomous AI solutions that help organizations automate, decide, and grow, connecting your people, systems, devices and data through agents that act.
- Healthcare
- Financial Services
- Manufacturing
- Retail & Consumer
- Energy & Utilities
- Public Sector
- Life Sciences
- And more
From a single agent to an autonomous enterprise
Seven service lines, one engineering team. We combine AI agents with solid software engineering, so the solutions we ship are reliable, secure and measurable.
Agentic AI & AI agents
Custom agents, copilots and multi-agent systems that reason, use your tools and complete work end to end, with humans in the loop.
Learn moreBusiness enterprise applications
Portals, ERP and CRM extensions, approvals, case management and internal tools, built with AI assistance in every screen.
Learn moreIntegration services
APIs, event streams and integration platforms that connect legacy and cloud systems, and expose them safely to AI agents.
Learn moreIoT & edge solutions
Connected devices, telemetry platforms and digital twins, with agents that detect anomalies and act on them in real time.
Learn moreOnline stores & digital commerce
Storefronts, marketplaces and B2B ordering portals with AI shopping assistants, personalization and automated operations.
Learn moreData & decision intelligence
Data platforms, analytics, forecasting and location intelligence that give agents and leaders the right context to decide.
Learn moreUnderstand. Plan. Execute. Learn.
Every solution we deliver runs the same closed loop: agents that perceive context, plan the next best action, act through your systems, and improve with every cycle.
Understand
- Ingest data
- Find insights
- Identify goals
Plan
- Analyze
- Strategize
- Create the plan
Execute
- Take action
- Use tools & systems
- Self-correct
Learn
- Adapt
- Iterate
- Drive outcomes
Apps, agents, workflows and devices, designed together
Most AI projects stall because the agent is built apart from the systems it needs. We build the user interface, the agent, the automation and the integration as one product.
Agents that finish the job
Goal-driven agents with defined tools, policies and approval points, so they complete real work and stay auditable.
- Tool use through governed APIs
- Human approval for sensitive steps
- Full trace of every decision
agent: procurement-assistant goal: "Process purchase requests end to end" tools: - erp.create_po - vendors.compare_quotes - email.notify guardrails: approval_above: 50000 SAR data_residency: in-kingdom memory: vector + policy docs # every action is logged and reviewable
Applications with AI built in
Web and mobile applications where the assistant is part of the workflow, not a chat window bolted on.
- Role-based dashboards and forms
- Bilingual Arabic and English interfaces
- Embedded copilots on every screen
// Embedded copilot on a work-order screen const summary = await copilot.ask({ context: workOrder, task: "Summarize history and suggest the next best action", }); ui.render(summary.actions);
Workflows that run themselves
Event-driven and scheduled automations that combine AI judgment with deterministic business rules.
- Triggers from email, forms, APIs and devices
- Retries, SLAs and exception queues
- Mix of RPA, APIs and agent steps
on: email.received("invoices@") steps: 1. ai.extract(attachment) # Arabic + English 2. erp.match(po, receipt) 3. if variance > 2%: human.review(finance_team) 4. erp.post(invoice) 5. vendor.notify(status)
Every system, one secure layer
APIs, connectors and event streams that unlock data from ERP, CRM, legacy and government platforms, for apps and agents alike.
- API gateway, security and throttling
- Model Context Protocol (MCP) servers for agents
- Monitoring and lineage for every call
connectors: sap: odata/v4 dynamics: dataverse salesforce: rest legacy_db: cdc-stream expose: rest_api: /v1/customers mcp_server: customer-tools events: order.created
From sensor signal to action
Telemetry pipelines, edge analytics and digital twins, with agents that diagnose problems and dispatch the right response.
- Device onboarding and fleet management
- Edge AI for low-latency decisions
- Automatic work orders and alerts
telemetry: vibration=7.8 mm/s temp=71°C anomaly: bearing wear (p=0.91) agent: - twin.simulate(load_shift) - cmms.create_work_order(priority=high) - crew.dispatch(nearest_available) # downtime avoided, history updated
Built for the way your sector works
Agentic solutions only create value when they understand the domain. We bring patterns proven across regulated and fast-moving industries.
Healthcare
Patient journeys, clinical documentation and operations.
Financial Services
Onboarding, KYC, credit and service automation.
Manufacturing
Predictive maintenance, quality and supply chain.
Retail & Consumer
Commerce, personalization and store operations.
Energy & Utilities
Asset monitoring, field service and grid operations.
Public Sector
Citizen services, case management and smart cities.
Life Sciences
Research, regulatory and quality documentation.
And more
Logistics, real estate, education, hospitality.
Autonomy you can trust
Agentic AI changes how work gets done. These commitments shape every solution we design.
We start from a measurable business result, not from a model or a tool.
Clear approval points and escalation paths. People stay accountable.
Data residency, least privilege and full audit trails from day one.
Model-agnostic architecture you own, ready for the next generation of AI.
Technologies we work with
- Microsoft Azure
- Azure OpenAI
- Anthropic Claude
- Model Context Protocol
- Microsoft Power Platform
- AWS
- Google Cloud
- Kubernetes
- Azure IoT & MQTT
- Kafka
- Shopify & headless commerce
- SAP & Dynamics 365
Perspectives on the agentic enterprise
From automation to agency: what actually changes
Where AI agents outperform rules-based automation, and where they should not be used.
ReadGoverning AI agents in regulated organizations
A practical control framework for autonomy levels, approvals and audit.
ReadYour first 90 days with agentic AI
How to select use cases, prove value and scale without creating AI sprawl.
Read