Smart Asset Health
Predictive maintenance scores updated every 5 minutes.
We combine data platforms, applied artificial intelligence, and IoT engineering to design and launch scalable products that transform operations and unlock new revenue streams.
We build connected ecosystems where secure data pipelines feed intelligent AI services and adaptive IoT experiences. Each engagement is engineered to deliver measurable business outcomes.
Design cloud-native data lakes and warehouses, implement governance, and operationalize analytics for realtime decisioning.
Deploy production-grade AI solutions from predictive models to generative assistants aligned with your compliance requirements.
Connect devices, gateways, and digital twins to monitor assets, automate workflows, and surface actionable insights.
Daiotify AI Agents act as co-pilots across data, AI, and IoT initiatives—automating insight delivery, optimizing asset performance, and accelerating stakeholder decisions with guardrails baked in.
Continuously monitors data pipelines, auto-heals incidents, and narrates data quality trends for business users.
Curates AI model performance, recommends retraining strategies, and exposes compliant generative interfaces to teams.
Supervises IoT fleets at scale, predicts device health, and orchestrates firmware or workflow updates autonomously.
Operational intelligence layer combining IoT telemetry, AI anomaly detection, and workforce orchestration.
Unified customer profiles merging transactional, behavioral, and sensor data to power personalized experiences.
AI-assisted scheduling, digital work orders, and AR-enabled support for distributed field teams.
Governance automation for regulated industries with auditable lineage, privacy controls, and policy enforcement.
Centralize building telemetry to predict maintenance, optimize energy, and elevate occupant experiences.
Blend digital and physical interactions across parks with live insights on guests, assets, and sustainability.
Enable connected care through real-time patient telemetry, predictive staffing, and compliant data flows.
Synchronize inventory, robotics, and workforce with vision analytics and autonomous exception handling.
Implement citizen services, mobility insights, and sustainability dashboards across urban ecosystems.
Monitor critical infrastructure, optimize load, and detect outages before they impact customers.
Enable predictive maintenance, digital twins, and quality analytics across production lines.
Co-create a roadmap that aligns KPIs, data readiness, and user journeys with informed investment decisions.
Prototype experiences, validate data models, and shape governance with stakeholders across the organization.
Build secure, scalable solutions with automation-first DevOps, MLOps, and IoT fleet management.
Operationalize with change enablement, runbooks, and continuous value realization metrics.
Templates and policies for responsible AI deployment across the enterprise.
Request copy →Step-by-step readiness assessment for large-scale device deployments.
Download checklist →Reference architecture for cloud-native data platforms with integrated AI workloads.
Explore blueprint →“Daiotify helped us consolidate data, deploy predictive maintenance, and cut downtime by 35% within six months.”
Director of Operations, Energy Sector
“Their AI accelerators transformed our customer journeys and increased digital conversions by 24%.”
Chief Digital Officer, Retail Group
Share your goals and we will assemble the right mix of data architects, AI engineers, and IoT specialists to accelerate time-to-value.