Over 20 years building and implementing software for the construction industry. Now using AI to integrate and deploy InEight at a fraction of the time and cost. Paving, shoring, foundations, remediation, and environmental — all on one instance, connected live to JDE, Workday, and Synerion.
All integrations running in production. All 11 divisions using the platform every day.
Getting InEight to work for a paving company is one thing. Getting it to work simultaneously across five disciplines — each with different cost structures, different crew types, different ways of measuring and tracking production — is a different problem entirely. That is what we solved.
Tonnage-based production tracking, material costs, and asphalt data — structured entirely differently from every other discipline on the platform.
Deep foundation systems, specialty equipment costing, and linear metre production metrics that require a completely different CBS structure.
Structural concrete, pile installation, and cost breakdown structures that vary significantly by structure type and contract form.
Soil classification, volume-based tracking, and regulatory reporting requirements layered on top of standard job cost structures.
Compliance-driven cost tracking, brownfield site management, and pay item structures built entirely around regulatory obligations.
One InEight instance. One set of integrations. All five disciplines. Live in 6 months.
Talk to usThe client had already planned for 24 months with a large consulting team. We delivered the same scope — five disciplines, four integrations, eleven divisions — with a lean team in six months, and came in at half the approved budget.
The difference is not just AI. It is a method built specifically for InEight implementations in construction, where we have already solved the hardest problems before we start your project.
We build all integrations at the same time. AI-assisted development lets a lean team carry the load of a large one without the coordination overhead.
Migration scripts with built-in validation rules. Errors surface and get resolved in hours, not weeks of manual spreadsheet reconciliation.
Every decision is documented as it is made. Your team inherits a fully documented platform — not a system only we understand.
All integrations scoped simultaneously. Data flows, CBS structure, and user roles across all divisions mapped in the first month. AI-assisted gap analysis cuts this phase significantly.
Weeks 1 to 4All four integrations built at the same time. AI generates and validates data mapping, reducing field reconciliation from months to days. No handoffs. No bottleneck.
Weeks 5 to 14AI-generated scripts process cost items, pay items, and job data with built-in validation. Every record checked before it touches production.
Weeks 12 to 18Division by division, with role-based training and a structured hypercare window. By month six, every division was live, every integration was running, and field crews were using it.
Weeks 16 to 24We use AI at every stage where traditional implementations burn the most time and money. Not to replace expertise. To multiply it across a lean team.
AI analyses your existing data structures and maps them to InEight’s schema automatically. What once required a team of analysts for months, we complete in days with full validation.
Every migration script we generate includes rules that check each record before it touches production. Errors surface immediately — not six months after go-live.
AI-assisted development means one engineer can build and manage what once required a team of four. All integrations run in parallel. No handoffs. No waiting.
AI-driven testing runs against your actual production data, not sample sets. Edge cases that would surface after go-live are caught and resolved during the build.
Every decision made during configuration is captured automatically. Your team inherits a fully documented system — one they can maintain without us in the room.
Smaller team. Lower cost. Faster delivery. AI is the force multiplier that makes it possible without cutting corners on quality, documentation, or go-live readiness.
We do not do twenty things for twenty industries. We integrate and implement InEight for construction companies — and we have spent over 20 years understanding exactly how construction operations work, so we do not have to learn your business before we can help you.
Full platform rollout in months, not years. We configure InEight for your operations — CBS structure, cost items, user roles — and roll it out division by division on a schedule that works for your field.
We connect InEight to your existing systems in parallel, not one at a time. AI-assisted mapping and automated validation mean integrations that work on day one — not after months of troubleshooting.
AI-generated scripts with built-in validation. Cost items, pay items, and job data are processed, validated, and loaded without the months of manual effort a traditional migration requires.
Role-based training and a structured rollout plan for each division. Training materials built around your actual configuration — not a generic InEight course written for someone else’s operations.
These are not proof-of-concepts or sandbox configurations. Every integration listed here was built, tested, and deployed into a live production environment for a multi-billion dollar infrastructure company.
Nathan Kuben has spent over 20 years developing and implementing software for the construction industry. He understands how construction companies operate — how they estimate, how they track costs, how their field crews work, and where every software implementation goes wrong.
Vyana was founded to put that experience to work with AI. The result is what you see on this page: integration and implementation that used to take two years, delivered in six months, at half the approved budget, with a lean team that knew exactly what it was doing.
When you reach out, you are not starting with a sales team. You are talking directly to the person who designed and built it.
Tell us what you are trying to do. We will tell you honestly what it will take, how long, and what it will cost.
info@vyana.io