Construction is our specialty.
The methods travel.
Data infrastructure, AI agents, project intelligence, and a 24/7 voice line — built and hardened in the construction industry first. If your operation has schedules, field workers, document piles, and phone lines that never sleep, our methods apply.
Why a construction shop ships outside construction
We have not built a "construction widget." We have built a data + AI methodology that we tuned on the hardest industry first.
The same Databricks lakehouse pattern, the same retrieval-augmented agents, the same Power BI semantic model, the same Vapi-backed voice runtime — they all transfer.
Engagements outside construction start exactly the same way: a free 30-minute audit of one workflow, then a 2-week build of one working agent or pipeline.
You get the discount of working with a team that has already solved the hardest version of your problem.
The same portfolio intelligence we build for contractors — rolled up across whatever your operation runs on.
Construction (primary specialty)
Where we built our practice. EPC, heavy industrial, and general contractors across the US and internationally. Primavera P6 schedule chat, document control automation, Power BI portfolio rollups, and the productized Malya Voice line are all live in the construction market.
- Primavera P6 natural-language schedule queries
- RFI, submittal, and change-order document automation
- Risk-weighted CPM analysis and cost-overrun forecasting
- Project P&L dashboards in Power BI
- 24/7 AI receptionist for jobsite phone lines
Oil & gas / energy
Our Gulf Coast natural adjacency. Turnaround schedules, plant data, capital projects, emergency response phone lines — the workflows look almost identical to heavy industrial construction. Houston-based operations love that we already speak the language.
- Turnaround-schedule risk forecasting (same engine as construction CPM analysis)
- Maintenance-record document control + RAG over operating procedures
- Asset-data lakehouses on Databricks (same architecture as project data infra)
- 24/7 AI line for after-hours operator dispatch and safety reporting
- Power BI dashboards for asset performance and turnaround burn
Manufacturing
Operations-heavy, schedule-driven, data-rich — the same problems as a construction project, just bounded to a plant floor. Production schedules, supplier RFQs, ECO change orders, OEE dashboards: every one of them maps to something we already ship for contractors.
- Production-schedule chat (same NL pattern we built for P6)
- Engineering change order automation (the manufacturing equivalent of RFIs)
- Supplier / RFQ document control with AI-extracted KPIs
- OEE and downtime dashboards in Power BI
- Predictive maintenance ML on existing sensor / telemetry data
Logistics & supply chain
Dispatch, fleet, warehouse, broker desks — anywhere you have a phone line that rings constantly and a spreadsheet that runs the business, our methods slot in cleanly.
- AI dispatch line for driver / sub-contractor coordination (same engine as Malya Voice)
- Document control on BOL, POD, and customs records
- Fleet and warehouse KPI dashboards in Power BI
- Demand-forecast ML on existing ERP / TMS data
- Databricks lakehouse to unify TMS, WMS, and ERP signals
Heavy industrial (broader)
Mining, chemicals, utilities, water, refineries — anyone running large physical assets through complex schedules. If your operation is more "field + schedule + critical equipment" than "office + KPI," our methods belong here.
- Asset / equipment data lakehouses with Unity Catalog governance
- Predictive maintenance and failure-mode ML
- Operations control room dashboards in Power BI
- AI agents that read and summarize SOPs, permits, and incident reports
- After-hours and emergency response phone lines
Operations-heavy and not in construction?
Tell us about one workflow that's eating your week. Free 30-minute audit. If we don't think we're the right team for it, we'll say so.