The AI crew that runsyour bid pipeline.
Ruh AI gives general contractors a crew of AI agents that runs the bid pipeline end to end: quantities measured off the real drawings, a nine-stage estimate that fills your own workbook, sub bids leveled, invoices matched before payment, and outreach that keeps next quarter full. Your estimator reviews and signs every line.
- ✓Bids up to 50 percent faster, measured with a live client
- ✓Live in about a week, from first drawing set to real bids
- ✓Every line signed by your estimator
Five agents, one thread.
From winning the bid to getting paid to filling next quarter, each agent works inside your process and explains every number.
Your first bid on Ruh, in four steps.
Send the drawing set
PDF or CAD, straight from the bid invite. No setup project, no template mapping.
The agents run
Takeoff, pricing, sub bid leveling, and assembly, with every number carrying its source.
Your estimator reviews
Confidence scores and coverage make review fast. Change anything; the agent learns.
The bid goes out
Your workbook, your proposal template, filled and ready to submit. Signed by a human.
What GCs told us actually hurts.
Throughput decides revenue
The teams we talk to say it plainly: the more work they can price, the more they win. Estimating capacity, not opportunity, is the ceiling on growth.
The knowledge lives in one estimator
Labor multipliers, facade judgment, coverage rates. When that sits in one senior head, every new estimator and every new office starts from zero.
The champion fights alone
The person pushing AI inside a GC usually has no internal peers, an IT team speaking a different language, and no time to explore. Change needs a sponsor.
In their words.
Taken from discovery calls and working sessions with construction teams over the last five months. Anonymized: roles and company types only, and lightly cleaned for transcription noise.
It is like somebody finally speaking my language, because I am all alone in this company doing that. There are plenty of opportunities on my side.
Any issue identified, management has to have a sponsor for me to push through a solution. It is very difficult in the construction industry to push through a process change.
I do a pre-construction agreement, then I send it out to bid, and I basically give them a much tighter range.
Automating estimates speeds bids, frees estimators for site visits, and centralizes data for consistency.
IT guys do not understand what I am trying to do. They are always about coding and possibilities. Nobody wants to give me time to explore what is happening here.
The scope goes much further than this project. Our president would love to hear this. I really want him to hear it.
AI for general contractors, explained.
Agents on the work, not a chatbot
AI for general contractors is not a chatbot bolted onto a construction logo. It is a crew of agents put on the measurable work a GC actually runs on: quantity takeoff from the real drawings, a nine-stage estimate priced from your own historical data, sub bids leveled with the gaps priced as labeled allowances, invoices matched to commitments before payment, and outreach that keeps the pipeline warm. Every line carries a source, and your estimator signs before anything leaves the building.
Throughput is the ceiling
The economics start with throughput. In our discovery calls, GCs describe the same ceiling: bid volume is capped by estimating hours, and win rate is capped by how fast the first credible number arrives. When the first-pass takeoff and pricing run as one motion, the same estimating room prices more work, pre-screens more invitations, and spends its senior judgment on scope and strategy instead of clicking conditions. One live client measured bid turnaround roughly 50 percent faster.
The senior estimator bottleneck
The second problem AI solves for a GC is quieter: the senior estimator bottleneck. Labor multipliers for height and pitch, how facade variance moves paint absorption, which subs pad which scopes. That tacit knowledge does not scale to new estimators or new offices on its own. Ruh encodes it into your price book and assemblies, so consistency stops depending on who happened to price the job.
The objections, answered straight
The objections we hear are fair, and they have direct answers. Data ownership: Ruh runs inside your own tenant, on your own AI license, with no training on your data, and client-controlled hosting is supported. Cost: there is no per-takeoff token bill that balloons on a big set; the build is scoped once, then a flat monthly plan. Accuracy: it is earned, not claimed. We run your real drawings against estimates your team already trusts, your corrections teach the system, and a human signs every line. Start with a free takeoff and judge it on your own work.
Beyond the bid
The bid is where it starts, not where it ends. The same GCs that come for estimating describe the daily drag around it: email triage that eats mornings, answers buried in Procore threads and RFI histories, the estimating-to-operations handoff where data gets re-entered and context gets lost, and local code research that quietly carries bid risk. Agents on the project record cover those seams: enterprise search finds the answer across your tools, the handoff carries the estimate into the project record instead of a meeting and a spreadsheet, and schedule tracking flags what needs a human before it becomes a claim.
Adoption, designed for reality
Adoption inside a GC is its own project, and we build for that too. The pattern we see across firms, including private-equity-owned groups pushing AI hard, is one champion with no internal peers, an IT department speaking a different language, and management that needs a sponsor before any process change moves. So the rollout is designed around that reality: one real bid, run live, with results your president can read. The walkthrough produces the internal case, not just the takeoff.
No guesses. Just measured outcomes.
Judge it on your own work, not a demo.
Built to work together.
See it on your own work.
A free 30 minute walkthrough on your real work, no card. You decide if you move forward.
Proof and perspective.
One useful email. No drip campaign.
Takeoff teardowns, cost data, and field notes from teams putting AI on real bids. Sent when there is something worth reading, never on a content calendar.
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Frequently asked questions
What general contractors ask before putting Ruh on a real bid.
Does the AI replace my estimator?
No. It does the measuring, pricing, and assembly work; your estimator reviews and signs every line. Every quantity carries a confidence score and a link back to the drawing it came from.
What does a general contractor actually get from Ruh?
Does it work with Procore and QuickBooks?
How fast can a GC go live?
Is my bid data safe?
Who owns the data, and is it used to train models?
How many historical projects do we need to get started?
What does it cost, and how does pricing work?
What happens if accuracy is off at the start?
Can we run it on-premises or on our own keys?
What does rollout actually look like inside a GC?
Run your next bid on Ruh.
Send one drawing set. We run the takeoff and walk you through the result on a 30 minute call. If it does not hold up against your estimator, you have lost nothing.