Buildalytic comes out of stealth: an AI operating layer for construction

Buildalytic is coming out of stealth today. We are building a vertical AI system for construction, one that reads the documents, catches the compliance errors, moves the invoices, and takes the field calls that a general contractor or subcontractor deals with every day. We have spent the last stretch building quietly with a small set of contractors on real projects. Now we are ready to say what we are and what we are shipping.

The short version: construction runs on documents and deadlines that general software was never designed for. A certified payroll report, a wage determination, a schedule of values, a lien waiver, a daily log. Each one has its own rules, its own penalties for getting it wrong, and its own place in a workflow that spans a foreman in a trailer and a controller at a desk. Buildalytic is built for those documents specifically, not adapted from a horizontal tool.

What is Buildalytic?

Buildalytic is an AI operating layer for construction that sits above the systems a contractor already runs. It does not ask you to rip out Procore, Autodesk Construction Cloud, Sage, Vista, or CMiC. Those are systems of record and they stay. Buildalytic reads from them and writes back to them, and does the judgment work in between: auditing a payroll against the right wage determination, coding an invoice to the right cost code, turning a phone call into a structured daily report.

We serve two customers with one platform. General contractors get AI agents that plug into their existing stack. Subcontractors get an AI-powered back office that handles the compliance and paperwork a 40-person shop cannot afford to staff for. The delivery is custom per customer, assembled from reusable primitives, closer to how Palantir works with an enterprise than how a self-serve SaaS onboards a signup.

What are the five pillars?

Buildalytic is organized around five pillars. Each one targets a place where construction leaks time, money, or exposure to a penalty. They share the same data foundation, so a wage rate captured for compliance is the same rate the finance side uses to check a labor cost.

Compliance

The flagship. Certified payroll audit, prevailing wage and Davis-Bacon validation, apprenticeship ratios, and HUD Section 3. On public work, one bad payroll can hold up a progress payment or trigger back wages, and the Davis-Bacon Act reaches every federal construction contract over $2,000. Compliance AI reads the reports, checks them against the governing wage determination, and flags the errors before they reach the agency.

Finance

Accounts payable and receivable built for construction, where an invoice is a pay application tied to a schedule of values, retainage is withheld on every draw, and cash arrives months after the work. Buildalytic reads AIA-style pay apps, matches line items, tracks retainage and lien waivers, and helps subcontractors get paid faster.

Field

Daily reporting that a crew can produce by talking, not by fighting an app on a phone with gloves on. A foreman calls or texts, in English or Spanish, and Buildalytic turns it into a structured daily log with the fields an owner, an inspector, and a scheduler expect.

Voice AI

A voice system that answers inbound calls and runs outbound follow-up. It qualifies a caller, captures the job details, and routes what matters, in English and Spanish, around the clock. The voice agent has no name and no persona. It is a tool that answers your phone accurately, not a character.

Intelligence

The layer that ties the rest together: a knowledge base over your own documents and custom agents built on your workflows. Because the compliance, finance, and field work all run through the same platform, the intelligence layer answers questions using data it can actually verify, not a generic model guessing at a rate table.

How do the five pillars work together?

The pillars are not five separate products bolted together, and that is the whole design. They share one data foundation, which is what separates a platform from a set of tools that happen to carry the same logo. A worker classification captured on the compliance side is the same classification the finance side uses to check a labor cost. A daily log recorded in the field is evidence the compliance side can cite in an audit. A caller captured by the voice system becomes a lead the office can act on. Data captured once is reused everywhere, instead of being re-entered into five systems that do not talk to each other.

Follow a single wage rate through the platform to see how it fits. On a public job, the prevailing wage for a classification is loaded once, from the determination that governs the contract. Compliance uses it to audit the certified payroll. Finance uses it to sanity-check the labor cost on a pay application. The field side ties the hours in a daily report back to the same classifications. Intelligence answers a question like whether a job is trending over on labor using numbers that were already validated, not a fresh guess. One rate, entered once, doing four jobs.

What Buildalytic is not

We decided early what Buildalytic is not, because in a market full of AI announcements the negative space is clarifying. It is not a new system of record trying to replace the tools a contractor already paid for and trained a team on. It is not a general chatbot with a construction logo on it. And it is not an autonomous agent that submits, approves, or pays without a person looking. Buildalytic reads, checks, drafts, and flags, and a human decides. On money and on compliance, that boundary is not a limitation. It is the reason the output is trustworthy enough to file.

Why build this now?

Two things changed. AI models got good enough to read a scanned certified payroll report or a wage determination PDF and reason about it, which was not true a few years ago. And the compliance burden on public work kept growing, with prevailing wage tied to federal clean-energy tax credits under the Inflation Reduction Act, apprenticeship rules getting stricter, and agencies auditing harder. The paperwork went up while the back-office headcount to handle it did not.

Contractors told us the same thing in different words. The work in the field is not the hard part. The hard part is the report that proves the work was done right, filed on time, in the right format, for the right agency. That is exactly the kind of work an AI system that understands the domain can carry.

What ships first?

Compliance AI, our first product, launches tomorrow, July 10, 2026. It is the certified payroll and prevailing wage pillar as a product you can put on a real project. We are starting there because it is the clearest, most measurable pain: a report that is either right or wrong, checked against a rule that either matches or does not.

If you run compliance, finance, or field operations for a contractor, the fastest way to see whether this fits your work is to put a real project in front of it. Book a demo and bring a payroll or a pay application you already had to fight with.