Why connected building operations matter
of energy is wasted by the average US small or medium office building
ENERGY STAR:Commercial Building Energy Wastemedian annual energy savings after two years for studied organizations using fault detection and diagnostics tools
Berkeley Lab:Building Analytics at ScaleEngineering challenges in smart building portfolios
The problems organizations in this sector bring to us most consistently.
Siloed BMS and sensor data
What We Build
Smart building IoT solutions and software we engineer
We build connected software foundations and operational applications around approved building systems, available data, facility workflows and governance constraints.
Cross-vendor BMS, BAS and IoT integration layers
Multi-building operational data and time-series platforms
Energy monitoring, fault detection and diagnostics workflows
Predictive maintenance models and equipment-health dashboards
Occupancy, indoor-air-quality and space-utilization analytics
Facility and tenant applications connected to approved workflows
ESG data pipelines with traceable definitions and lineage
Guarded automation with explicit control interfaces and human override
Delivery Lifecycle
A pilot-to-portfolio delivery path
Start with one measurable operational problem, establish a reliable data foundation and expand only after facility teams validate the pilot in their working environment.
Discover — Map business outcomes, installed systems, protocols, data owners, cybersecurity constraints and measurable pilot criteria.
Unify — Build the minimum reliable ingestion and normalization layer; expose data-quality and device-health issues early.
Pilot — Focus on one building, asset class or workflow so operators can validate usefulness before broader investment.
Deploy — Integrate the approved workflow into facility operations with monitoring, runbooks, permissions and auditability.
Scale — Extend across sites using reusable connectors, consistent asset models, observability and portfolio governance.
From building telemetry to operational action
The challenge
A smart-building data platform collects approved building-system telemetry, normalizes it into consistent asset and time-series models, checks device health and quality, and supports dashboards, anomaly detection, predictive models and approved workflow automation.
What we engineer
- Connect: inventory systems, protocols, owners and access constraints
- Normalize: standardize assets, tags, units, timestamps and tenant boundaries
- Observe: monitor device health, missing data and pipeline quality
- Analyze: deliver portfolio views, FDD, forecasting and health scoring
- Act safely: route approved alerts, work orders or control actions with audit trails
Also in this industry
Predicting equipment failure and optimising energy across a building portfolio
Service Pathways
Engineering services for connected building operations
Our four service pathways cover the data, AI, automation and platform layers needed for connected building operations, while keeping cross-industry methodology on the relevant service pages.
Coordinate approved fault routing, maintenance scheduling, reporting and human-review workflows with bounded actions and audit trails.
Common applications
- Demand-response energy agents
- Automated fault routing to FM teams
- Occupancy-driven HVAC adjustment
- ESG data aggregation
Develop and evaluate predictive-maintenance, occupancy, anomaly-detection and energy-intelligence products connected to facility workflows.
Common applications
- HVAC failure prediction
- Lift health scoring
- Occupancy pattern modelling
- Air-quality anomaly flagging
Build BMS and IoT ingestion, time-series platforms, data-quality monitoring and model-serving infrastructure.
Common applications
- BMS and IoT sensor pipelines
- Energy meter data ingestion
- Multi-site data aggregation
- ML model deployment and drift monitoring
Design secure edge-to-cloud, observability and multi-tenant infrastructure for portfolio-scale operations.
Common applications
- Edge-to-cloud telemetry architecture
- Multi-site cloud data platform
- Real-time alerting infrastructure
- Secure tenant data isolation
Technology
Technology selected for your building estate
We choose cloud, data, observability and application technologies around installed systems, operational constraints and client standards.
- Python, Backend
- Node.js, Backend
- AWS, Cloud
- Azure, Cloud
- Docker, Containers
- Kubernetes, Orchestration
- Terraform, Infrastructure
- PostgreSQL, Database
- Redis, Database
- Datadog, Monitoring
- Prometheus, Monitoring
- Grafana, Monitoring
- OpenTelemetry, Observability
- GitHub, Source Control
Technology selection is guided by project requirements, existing environments, and client preferences. This list is not exhaustive.
Governance
Governance for building intelligence and automation
Building intelligence connects operational networks, tenant data and reporting workflows. We define separation, permissions, lineage, failure handling and human override before automation is approved.
OT/IT separation
Segment operational networks, control data flows and prevent analytics services from becoming an unintended route into building controls.
Tenant privacy
Aggregate and isolate occupancy or usage data by tenant, purpose, retention period and authorized role.
Traceable reporting
Maintain definitions and lineage from meter or source system to energy, carbon and ESG outputs.
Safe automation
Use explicit permissions, bounded actions, audit logs, failure handling and human override for operational decisions.
Engagement Models
Ways to engage CodeCones on smart-building work
Choose defined project delivery for a scoped integration, data platform, AI product or automation workflow; embedded engineering for capacity inside your product team; or exploratory discovery for source-system mapping, data readiness and pilot prioritization.
Defined project delivery
We scope, architect, and deliver a specific AI product, data platform, or automation system. You own the output completely. Suitable for organisations with a clear problem and defined success criteria.
Discuss a projectEngineering Teams
Embed engineers directly inside your team. We provide backend, data, AI, or platform engineers who work in your processes, tools, and codebase. Suitable for organisations that need capacity, not just delivery.
Build your teamExploratory discovery
Not sure where to start? We work with you to assess your data environment, map the AI opportunities, and identify where engineering investment will have the highest impact.
Start a conversationEngineering breadth across modern cloud platforms
Cloud architecture and delivery capability across AWS, Azure, and Google Cloud
Get in Touch
Discuss your smart building software and data challenge
Tell us which building systems you operate, where data is fragmented and what operational outcome matters first. We will help you define the integration, data foundation, pilot and scale path without assuming a rip-and-replace program.
- Dedicated project manager from day one
- Fixed-scope or continuous engagement options
- Full IP ownership: all deliverables are yours
- Response within one business day
FAQs
Frequently Asked Questions
More Industries
More Industries We Serve
Where data latency costs patient outcomes.
Compliance at speed, without the manual overhead.
Personalization that converts, powered by clean data.
Ship AI-enabled products with engineering discipline.
Predict failure before the line goes down.
Turn disruption into loyalty with smarter operations.
Ready to turn building data into reliable operational action?
Through our smart building software development services, CodeCones helps PropTech companies, facility operators and building-automation vendors build connected data platforms, predictive workflows and governed automation for modern building portfolios.