For Engineering Firms in Construction & Manufacturing

Stop Wasting Time on Low-Quality Bids Prioritize Leads That Actually Convert

Imagine slashing your bid preparation time by 40% while boosting win rates on high-value projects. That's the reality for engineering firms using our custom lead scoring.

Join 150+ businesses with doubled close rates

Cut bid review time in half
Focus on leads with 80%+ conversion potential
Integrate seamlessly with your project management tools

The "Lead Overload" Problem

Drowning in unqualified subcontractor inquiries for mismatched scopes like residential framing when your specialty is commercial steel erection, clogging your bid pipeline

Struggling to score leads from fragmented RFI responses on infrastructure projects and on-site pre-bid walkthroughs

Losing weeks chasing bids on projects that don't match your structural engineering expertise, such as low-voltage electrical over heavy civil works

Manual triage of supplier leads for raw materials pulling fabrication engineers away from CAD design and prototyping work

Inaccurate forecasting for manufacturing contracts due to poor lead prioritization on custom fabrication orders

Delayed project mobilization from overlooking high-ROI opportunities buried in the bid stack, like precast concrete elements for transit hubs

Tailored Lead Scoring Built for Your Workflow

We've engineered solutions for over 50 engineering firms, turning chaotic lead flows into predictable revenue streams.

Why Choose Us

Let's be honest, off-the-shelf lead scoring tools are like using a one-size-fits-all blueprint on a custom high-rise—they just don't fit. At AIQ Labs, we build a bespoke AI system that analyzes your unique data, from bid histories to site-specific metrics. You're probably thinking, 'How does this work for my team?' We start by mapping your exact needs, like scoring leads based on project scale, location feasibility, and past win patterns. The result? A flexible model that evolves with your business, integrated directly into tools like Procore or Autodesk. No more guesswork. Just high-ROI leads handed to your estimators on a silver platter.

What Makes Us Different:

Custom AI models trained on your historical bid data for pinpoint accuracy
Seamless integration with construction management software to automate scoring
Real-time updates that adapt to market shifts in manufacturing demands

Unlock Efficiency in Your Lead Pipeline

Boost Bid Win Rates by 35%

Boost Bid Win Rates by 35%: Our custom system identifies leads with the highest conversion potential, like prioritizing bridge girder fabrication bids over mismatched plumbing fixtures. Engineering firms see estimators laser-focused on winners, cutting wasted effort on non-core scopes and ramping up annual project throughput by 25%.

Reduce Lead Qualification Time by 50%

Reduce Lead Qualification Time by 50%: No more sifting through endless RFPs for site prep or MEP coordination manually. Our AI flags hot leads based on budget alignment with your rebar detailing rates and timeline fit for phased construction, freeing your team for value engineering on core designs. One mid-sized contractor reclaimed 20 hours weekly, streamlining their pipeline like optimizing just-in-time inventory on a fab line.

Improve ROI on Marketing Spend

Improve ROI on Marketing Spend: Target your outreach to leads that matter—think scoring based on regional infrastructure needs like highway expansions or industrial plant retrofits. This field-tested approach ensures every dollar spent on trade shows like CONEXPO or digital ads targeting AGC members yields measurable pipeline growth, much like optimizing material costs on a high-rise build site with precise takeoffs.

What Clients Say

"Before AIQ's lead scoring, we were bidding on everything that came through the door, including projects way outside our civil engineering sweet spot like small-scale residential grading instead of major highway interchanges. After implementation, our team focused on 15 high-potential infrastructure jobs last quarter, winning 8 and adding $2.4M to the backlog with scopes in bridge rehabilitation and stormwater management. It's like having an extra estimator who never sleeps, handling RFI volumes without breaking a sweat."

Mike Rivera

Senior Project Manager, Apex Engineering Group

"As a manufacturing engineering firm specializing in precision components, leads from suppliers were all over the place for everything from off-the-shelf fasteners to custom alloy forgings. Their custom system now scores based on our CNC machining specs, 5-axis milling tolerances, and delivery timelines for just-in-time assembly—we've cut chase time by half and closed three key contracts for automotive stamping dies in under two months. No more shotgun approach to vendor quals."

Sarah Chen

Business Development Lead, ForgeTech Manufacturing

"We integrated this with our ERP for real-time scoring on structural steel fabrication bids, prioritizing leads that matched our AWS D1.1 welding certifications and AISC compliance. Last year, it helped us avoid chasing mismatched plate girder projects, boosting our win rate from 22% to 41% on industrial warehouse fits-outs. The ROI was immediate—saved us from a bad $800K pursuit on a non-certified scope that would've tied up our shop floor for months."

Tom Hargrove

Operations Director, SteelCore Engineers

Simple 3-Step Process

Step 1

Discovery & Data Mapping

We dive into your current lead sources, like RFIs and vendor portals, to understand your workflow. This ensures the AI is tuned to construction realities, not generic assumptions.

Step 2

Custom Model Build

Our engineers craft a predictive scoring system using your bid history and project metrics. It's flexible, adapting to things like seasonal manufacturing demands or site-specific challenges.

Step 3

Integration & Testing

We wire it into your tools for seamless use, then test on live leads. You'll see scored priorities in your dashboard, ready to drive decisions from day one.

Why We're Different

We build from the ground up with custom code, not patchwork no-code tools that break under heavy construction data loads
True ownership means no ongoing subscriptions—just a scalable asset you control, unlike rented platforms that lock in your data
Our models are field-tested on real engineering scenarios, delivering ROI like a well-engineered foundation, not shaky integrations
Deep API connections create a unified system, eliminating the silos that plague manufacturing lead flows
We focus on production-ready scalability, handling spikes in bid volume without crashing, as proven in our own SaaS builds
Personalized to your workflow, scoring leads by metrics like load-bearing specs or supply chain fit, not one-size-fits-all algorithms
Engineers, not assemblers—our team codes robust frameworks that evolve with industry regs, avoiding brittle off-the-shelf limits
End-to-end integration replaces subscription chaos, giving you a single source of truth for bids and forecasts
Proven in high-stakes environments, like our voice AI for regulated collections, ensuring reliability for your critical leads
We prioritize practical outcomes, like 40% time savings, backed by our in-house platforms that handle complex, real-world data

What's Included

Predictive scoring based on historical win rates, project budgets, and geographic feasibility
Automated integration with CRM and PM software like Oracle Primavera or Bluebeam
Real-time lead alerts via custom dashboard for instant estimator notifications
Customizable criteria, including engineering certifications and material compatibility
AI-driven enrichment pulling data from public bids and industry databases
Performance analytics tracking score accuracy and conversion impacts
Mobile access for field teams to review scored leads on-site
Scalable architecture handling 1,000+ leads monthly without performance dips
Compliance features ensuring data security for sensitive project intel
Evolving models that learn from new bids to refine future scoring
Exportable reports for ROI analysis on lead pursuits
Seamless handover to sales automation for qualified opportunities

Common Questions

How does lead scoring differ for engineering firms versus general sales teams?

In construction and manufacturing, leads aren't just emails—they're RFPs, site surveys, and supplier specs. Our custom system scores them based on factors like project scope alignment, regulatory fit, and timeline feasibility, which generic tools ignore. For instance, it might prioritize a bridge retrofit bid over a generic warehouse query if it matches your structural expertise. We train the AI on your past data, ensuring it understands nuances like load calculations or fabrication tolerances. This tailored approach has helped firms like yours focus on winnable projects, cutting noise by 60%. It's practical, ROI-focused, and built to handle the daily grind of bid cycles without adding more admin hassle.

What data sources do you use to build the scoring model?

We pull from your internal goldmine: historical bid outcomes, CRM entries, project management logs, and even ERP data on past manufacturing runs. Externally, we enrich with public sources like Dodge Data or industry APIs for market trends. You're probably thinking this sounds invasive—it's not; we prioritize secure, compliant handling. For an engineering firm, this means scoring a lead higher if it aligns with your HVAC specialization and local permitting history. The model starts simple, then refines over time. One client integrated their Autodesk files, revealing patterns in design complexity that boosted accuracy from 65% to 92% in six months. It's all about creating a system that feels like an extension of your team.

How long does it take to see results from your lead scoring solution?

Most engineering firms notice quick wins within the first 4-6 weeks. We kick off with a rapid prototype using your existing data, scoring a batch of leads for immediate testing. Here's the thing: full integration might take 8-12 weeks, depending on your tools, but you'll start prioritizing better right away. Take a recent project—we helped a mid-sized firm score 200 leads, identifying 40 high-potentials that led to three $1M+ contracts in the next quarter. It's field-tested efficiency, reducing the chaos of bid overload. We track metrics like win rates from day one, adjusting as needed to ensure ROI hits fast, much like fast-tracking a critical path in your Gantt charts.

Can this integrate with our existing construction software stack?

Absolutely—seamless integration is our hallmark. We connect directly to platforms like Procore, Autodesk BIM 360, or SAP for manufacturing, creating two-way data flows without manual exports. No more toggling between apps during a busy bid season. For example, a scored lead from an RFP portal auto-populates in your PM tool with priority tags and risk assessments. We've done this for firms juggling ERP and field apps, eliminating 30 hours of weekly data entry. It's custom-built, so we map exactly to your workflow, ensuring the AI pulls in real-time updates like material quotes. If your stack evolves, so does our system—flexible and owned by you, not locked into vendor ecosystems.

What if our lead volume fluctuates with project seasons?

Seasonal swings are common in construction and manufacturing, like ramping up for summer builds or Q4 contracts. Our scalable AI handles it effortlessly, processing spikes from 50 to 500 leads without missing a beat. We design with elasticity in mind, using cloud frameworks that auto-scale. Let's be honest, off-the-shelf tools choke under pressure; ours doesn't. A client in structural engineering saw volumes double during infrastructure funding rounds—our system maintained 95% accuracy, helping them secure five extra bids worth $3.5M. You get monitoring dashboards to forecast loads, plus easy tweaks for off-seasons. It's built for the unpredictable nature of your industry, delivering consistent ROI year-round.

How do you ensure the AI scoring is accurate and unbiased?

Accuracy comes from rigorous training on your diverse data sets, validated against real outcomes like win/loss ratios. We audit for biases, such as over-favoring certain regions or project types, using techniques like fairness metrics tailored to engineering contexts—think avoiding skews in scoring based on urban vs. rural site challenges. Initial models hit 85% accuracy, improving to 95%+ with feedback loops. For a manufacturing firm, this meant fair scoring across alloy types without favoring legacy clients. We include explainability features, so you see why a lead scored high (e.g., budget match and cert alignment). It's transparent, practical, and refined through iterations, ensuring trustworthy decisions that drive your bottom line without hidden pitfalls.

Ready to Get Started?

Book your free consultation and discover how we can transform your business with AI.