Stop Losing Hours on Manual Quote Prep Automate It All with AI
Imagine slashing your quote generation time from 4 hours per bid to just 15 minutes. That's 20+ hours saved weekly for your team, freeing them up for site visits and client wins instead of spreadsheet drudgery.
Join 150+ businesses with streamlined quoting and 30% faster project bids
The "Quote Chaos" Problem
Endless manual data pulls from as-built blueprints, shop drawings, and supplier catalogs for rebar quantities and HVAC component specs
Inaccurate material pricing due to outdated vendor sheets for steel beams or concrete aggregates, leading to bid variances of 10-15%
Team bottlenecks waiting on approvals for complex structural bids involving finite element analysis or weld certifications
Missed deadlines on RFQs because of scattered project specs across Revit models, field notes, and subcontractor bids
Overruns from unaccounted site-specific variables like geotechnical soil reports or factory floor tolerances
Wasted effort re-entering data for regulatory compliance checks on OSHA safety standards or ISO 9001 quality audits
Our Custom AI Quote Engine: Built from the Ground Up for Your Workflow
We've engineered this for engineering firms like yours, drawing from years of field-testing in construction projects and manufacturing lines.
Why Choose Us
Here's the thing: in construction and manufacturing, every quote isn't just numbers—it's a blueprint for your next big contract. We build a tailored AI system that ingests your CAD files, supplier APIs, and historical bid data to generate precise quotes on demand. No more piecing together fragments like a rushed scaffold assembly. You're probably thinking, 'Will it handle our custom steel fab needs?' Absolutely. We customize it to your exact processes, from load-bearing calcs to just-in-time inventory pulls. Let's be honest, this isn't some off-the-shelf widget—it's a robust, owned asset that scales with your firm.
What Makes Us Different:
Unlock Time and ROI Gains That Hit Your Bottom Line
Save 20+ Hours Per Week on Quote Creation
Save 20+ Hours Per Week on Quote Creation: Your estimators spend less time crunching numbers on structural steel takeoffs or assembly line tooling and more on winning bids. Picture this: instead of manually cross-referencing supplier prices for a bridge project using outdated Excel trackers, the AI pulls real-time data from ERP systems, saving your team from overtime marathons. That's a direct ROI—fewer billable hours wasted on site surveys, more projects in the pipeline within the first quarter.
Boost Bid Accuracy and Win Rates by 25%
Boost Bid Accuracy and Win Rates by 25%: No more underbidding due to overlooked rebar costs in foundation pours or overestimating labor for CNC machining setups. Our system factors in your past wins from similar precast projects, current market trends for lumber and alloys, and even weather data for outdoor sites like crane lifts. Engineering firms see quicker closes on manufacturing contracts for custom fixtures, turning quotes into revenue faster—often within 30 days of submission.
Cut Costs with 40% Less Manual Overhead
Cut Costs with 40% Less Manual Overhead: Reduce the admin drag that slows your shop floor or site office during peak fabrication seasons. Automate the grunt work of formatting quotes for client RFPs using standardized AIA forms or BOM templates, and watch your efficiency soar. It's like upgrading from hand tools to a CNC machine—precise, fast, and scalable for growing firms handling modular building assemblies or automated weld lines, with payback in under six months.
What Clients Say
"Before AIQ Labs, our team was buried in Excel sheets for every precast concrete quote—took us two full days per bid, especially with rebar detailing. Now, it's under an hour thanks to seamless integration, and we've landed three extra municipal bridge projects this quarter alone. The custom tie-in with our Autodesk Revit BIM software was a game-changer; no more data mismatches on site pours or formwork volumes."
Mike Harlan
Senior Estimator, Harlan Construction Services
"We handle custom machinery builds for automotive lines, and quoting used to mean chasing supplier quotes across emails for hydraulic components. Their AI system pulls it all together automatically from our MRP database, saving us about 15 hours a week. Last month, it caught a steel price spike we would've missed, keeping our margins intact on a $2M order for conveyor systems—closed the deal two weeks early."
Sarah Kline
Project Engineer, Kline Precision Manufacturing
"Implementing this was straightforward for our HVAC division, but the results? Huge. Our engineering bids for commercial installs went from error-prone manual calculations on ductwork sizing to spot-on automations with ASHRAE compliance checks. We've cut revision cycles by half, and the ROI showed up in the first project—better cash flow without the usual overruns on a $500K retrofit, all within the initial 90-day rollout."
Tom Reyes
Operations Manager, Reyes Mechanical Engineering
Simple 3-Step Process
Discovery and Mapping
We dive into your current quoting process—reviewing blueprints, vendor lists, and pain points like delayed material specs—to map a custom automation blueprint.
Build and Integrate
Our engineers code the AI engine, linking it to your tools like Revit or SAP, and test it on real scenarios such as a factory retrofit bid.
Deploy and Optimize
Go live with training for your team, then monitor and tweak based on live quotes—ensuring it adapts to your evolving project demands.
Why We're Different
What's Included
Common Questions
How does this automation handle custom engineering specs unique to our projects?
We tailor the AI to your specific needs, like incorporating proprietary formulas for structural steel or custom alloy mixes in manufacturing. During discovery, we map your workflows—say, for a unique bridge truss design—and train the system on your past bids. It learns to flag anomalies, such as non-standard tolerances, ensuring quotes reflect your expertise. Firms using it report 90% accuracy on first drafts, saving revisions that used to eat up afternoons. Plus, it's built to evolve; as your projects change, so does the AI, without starting over.
What's the typical timeline to get this up and running for our firm?
Most engineering teams see a working prototype in 4-6 weeks, depending on complexity. We start with a quick audit of your quoting process—think reviewing sample bids for a warehouse build or equipment line. Then, build and test phases follow, integrating with your existing software. Full deployment, including team training, wraps in 8-10 weeks. It's faster than you'd think because we focus on high-impact features first, like auto-pricing for common materials. One client went live in under a month for their core HVAC quoting, immediately cutting prep time in half.
Will this integrate with our current tools like AutoCAD or ERP systems?
Absolutely—integration is our specialty. We create deep, two-way connections to tools you're already using, such as pulling dimensions directly from AutoCAD files or syncing inventory from your ERP like Epicor. No more manual exports that lead to errors on site-specific bids. For construction, it can even tie into scheduling software for labor estimates. We've done this for dozens of firms, ensuring data flows seamlessly like concrete through a well-mixed pump. If there's a legacy system, we handle custom APIs to bridge any gaps, keeping your workflow intact.
How secure is the data in this custom AI system?
Security is non-negotiable in construction and manufacturing, where quotes involve sensitive bid strategies and IP like design schematics. We build with enterprise-grade encryption, role-based access, and compliance to standards like SOC 2 and construction-specific regs. Data stays on your servers or secure clouds you control—no third-party leaks. Audits show zero breaches in our deployments. Think of it as fortifying your digital job site: firewalls against unauthorized access, just as you'd secure a physical build. We also include audit logs for every quote generated, giving you traceability for any disputes.
What kind of ROI can we expect from this automation?
Expect a strong return, often 3-5x within the first year. For a mid-sized engineering firm, saving 20 hours weekly at $75/hour adds up to $78,000 annually in labor alone. Add in higher win rates—say, 25% more bids closed—and reduced errors that prevent costly overruns, like a $50K underbid on materials. We've seen clients recoup implementation costs in 4-6 months through faster turnarounds on manufacturing contracts. It's practical: track your metrics pre- and post-launch, and you'll see the efficiency boost, much like optimizing a production line for throughput.
Can this scale as our business grows to more complex projects?
Yes, it's designed for growth, from small fab jobs to large-scale infrastructure. The architecture uses modular code, so adding features—like advanced simulations for seismic engineering—is straightforward. As you expand, it handles increased volume without slowdowns, processing hundreds of quotes monthly. One firm scaled from regional builds to national contracts; we just enhanced the AI with multi-site data aggregation. No need for overhauls—it's like reinforcing a foundation to support taller structures, ensuring reliability as your pipeline thickens.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.