How construction teams eliminate data silos and gain a unified view of project performance.
Business Challenge:
Large contractors run projects through a maze of tools: scheduling systems, cost platforms, RFI logs, daily reports, safety inspections, quality photos, and hundreds of field documents. Even with investment in modern systems, the picture never fully comes together.
Teams still struggle with questions like:
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Are delays tied to labor gaps, material issues, change orders, or quality defects?
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Are risks emerging in RFIs, safety logs, or submittal queues that no one sees in time?
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Is the field operating with the most current information across all trades?
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What is actually driving budget variance this month?
This fragmentation is the same challenge the LATISTA team solved years ago at Clark Construction, where more than 4,000 users relied on unified data to run large projects. Syntes AI builds on that history with a modern AI execution layer built for today’s scale and complexity.
Solution:
Syntes AI creates one live, consolidated project data environment by connecting ERPs, scheduling tools, field apps, document repositories, and unstructured data (photos, videos, PDFs, specs, drawings).
The platform transforms this data into a dynamic knowledge graph of:
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Projects
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Schedules
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Activities
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RFIs and submittals
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Safety and quality observations
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Costs, commitments, and budget items
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Labor, equipment, and materials
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Documents and multimedia evidence
AI agents reason across this live data to highlight performance trends, detect risks, and recommend actions before issues escalate. Every insight is explainable, traceable to source, and governed with enterprise-grade oversight.
Key Features
Unified Project Memory (Structured + Unstructured)
Brings all project information into one governed, continuously updated operational graph without requiring heavy data migration.
Real-Time Two-Way Data Sync
Connectors ingest and sync project data across CRMs, ERPs, warehouses, and field systems with schema-aware read/write capability.
Explainable AI Agents for Construction Ops
Agents perform performance assessment, schedule and activity compliance checks, risk detection, and cost insights with full audit trails.
Live Visual Context Layer
Project managers and executives get an explorable view of how schedule items, cost codes, RFIs, quality issues, and safety logs relate to each other.
Unstructured Data Intelligence
Extracts insights from photos, videos, daily reports, drawings, and PDFs, linking them to cost, schedule, and scope entities.
Steps to Implement:
1. Connect Core Project Systems
Integrate schedule, ERP/cost, field management, and document sources. Syntes AI’s two-way connectors deliver this in days, not months.
2. Auto-Build Project Knowledge Graph
Syntes AI constructs a live model of project activities, cost items, RFIs, submittals, safety logs, quality issues, and documents.
3. Enable Real-Time Data Sync and Memory
Structured and unstructured data are continuously updated, preserving relationships across systems so the graph stays current.
4. Deploy Construction-Specific AI Agents
Examples include schedule compliance agents, performance and risk assessment agents, cost and budget insight agents, and quality/safety compliance agents.
5. Review Insights, Approve Actions, and Scale
Teams validate recommendations, track impact, and expand across more projects. Governance ensures every AI action is logged and reversible.
Summary:
Construction projects generate massive amounts of structured and unstructured data that rarely come together in a way teams can use. With Syntes AI, contractors like Clark gain a consolidated, live view of schedules, costs, RFIs, documents, safety, and quality —all connected in one real-time knowledge graph. This unified context enables AI agents to detect risks early, explain the root cause, and recommend actions that keep projects on track.
Instead of relying on static dashboards or manual reporting, teams get a trustworthy, dynamic view of the entire project so they can act with confidence.
