From Ad Tech to AEC: How Joist AI Is Reshaping Construction Proposal Development

Written by:

Steve Marcinuk

Date:

28 Nov 2025

Share

Share via Facebook

Share via Linkedin

Share via X

Copy to clipboard

The construction industry has long grappled with inefficient proposal processes, forcing marketing professionals to spend hours manually researching past projects and assembling responses to requests for proposals (RFPs). For Nikhil Almeida, co-founder of Joist AI, this challenge presented an opportunity to apply technical skills to a sector in need of modernization.

Almeida’s path to construction technology began in New York’s startup scene, where he worked at early-stage companies and later moved through roles in publishing, ad tech, and regulatory technology. “I got the skills working on ad tech systems, high throughput systems serving 300 million ad units a day,” he says. “But there was a growing void. I wanted to do something more meaningful.”

His search for purpose led him to reconnect with longtime friend Rohan, a civil engineer at general contractor Hensel Phelps. Rohan had been exploring ways to improve construction workflows. “He was an engineer pouring concrete on the ground, but also the PowerPoint guy,” Almeida recalls. “He got pulled into BIM and BDC work, back office roles, and eventually was leading their innovation department.”

Building Proposals on Data, Not Guesswork

Their collaboration resulted in Joist AI, a marketing platform built specifically for the architecture, engineering, and construction (AEC) sector. The company’s premise is straightforward: proposals are the gateway to revenue, and stronger proposals require better access to company data.

“In construction, the business development process is proposal creation, because that’s your entry point to any kind of revenue,” Almeida explains. “The person who puts out the RFP is looking for the construction company to communicate why they have the expertise to solve all the nuances and problems they want addressed.”

The main obstacle is not a lack of information, but the challenge of accessing and organizing it. Construction companies often struggle to leverage their vast archives of project data, employee experience, and customer profiles. “Proposal teams need to understand where they’ve seen or encountered those kinds of problems before, and if they, as a company, have good enough understanding of that risk,” Almeida notes.

Joist AI’s solution begins by having companies upload historical proposals. The platform then extracts factual information to build a structured database of customer profiles, employee expertise, and project histories. “Within half an hour, you will have all the knowledge of your company that is sitting potentially mixed in with a CRM, mixed in with an employee database, a project database, all these different sources just built out from the proposal itself,” Almeida says.

Why Construction Needs Specialized AI

While many firms are testing general-purpose AI tools like Microsoft Copilot, Almeida argues that construction’s complexity requires a tailored approach. “Chat is a very powerful interface because you can have so many workflows addressed through it, but the flexibility is also what causes its demise to some extent,” he observes.

He emphasizes that workflow optimization matters more than generic technical capability. “It takes a certain mindset of a worker to be embracing that technology, to adapt their workflows to chat, to really take advantage of it. Whereas with any vertical AI solution, when you have more workflow-based solutions that use AI within it, you’re able to scale that use of AI to different users other than chat.”

For construction professionals, this means replacing complex, multi-step processes with simple file uploads. Instead of crafting multiple chat prompts to analyze an RFP, users can upload a document and receive summaries, compliance checklists, and competitive intelligence automatically.

Real-World Impact on Proposal Teams

The platform’s benefits become evident in practical scenarios. When a construction company receives an RFP for infrastructure work, Joist AI can quickly identify which past projects are most relevant to highlight. “When you’re thinking about really large companies going after an airport, you know off the top of your head which projects are going to be useful,” Almeida says. “But when it’s replacing a sewer line on some road somewhere, you’ve done thousands of those projects. Which projects do you want to highlight, and why? That research work itself is very time-consuming.”

Joist AI also improves team coordination by generating customized templates for different departments. “The legal team is interested in answering questions A to Z, the technical team is interested in these questions, and the estimation team is interested in these questions,” Almeida explains. “You can upload your RFP and run all your templates and have that as the starting point for all teams, where nobody has to sit reading the document over and over again.”

This approach saves time, reduces errors, and helps teams present more targeted, data-driven proposals, a critical advantage in a competitive market.

Investor Backing and Market Growth

Joist AI’s approach has attracted significant investor interest. The company has raised $4 million from firms including SignalFire and Building Ventures. “We were showing a good amount of growth, and we were showing enterprise use already before we were able to raise the round,” Almeida says. “We had, incidentally, a good chunk of Building Ventures’ portfolio companies as clients.”

Almeida explains that the investor mix was deliberate, combining industry expertise with broader scaling capabilities. “We wanted the deep industry expertise and connections of a verticalized industry VC while having the general firepower of a horizontal VC.”

Why This Matters Now

The timing of Joist AI’s rise is no accident. Construction firms are under increasing pressure to win bids in a market shaped by higher costs, tighter timelines, and growing competition. Manual proposal processes waste valuable hours and often result in missed opportunities or generic responses that fail to stand out. As more firms seek ways to do more with less, tools that centralize company knowledge and automate repetitive research are becoming essential.

The urgency is heightened by broader trends: construction backlogs are growing, labor shortages persist, and clients expect faster, more tailored responses. In this environment, being able to quickly assemble compelling proposals based on real data can mean the difference between winning and losing a contract.

AI Agents as the Next Step

Looking ahead, Joist AI is focused on expanding its AI agent capabilities through 2026. “A lot of the functionality we have right now, analyze my RFP, do competitive intelligence, recommend the right people and projects, grammar check drafts, win strategy compliance, a lot of that can be expressed as an agent,” Almeida says.

The aim is to let users introduce new AI-powered features while keeping workflows familiar. “If you build a platform with a similar interface for understanding how to invoke agents, understanding what ambient agents are, understanding how to monitor agents, you can introduce new functionality but give that same familiar look and feel so people can adopt AI even faster.”

Joist AI’s immediate focus is clear: “Our goal for 2026 is to be the best platform for proposal creation agents out there. Doubling down on that, making sure that is our solid base, is always going to be our goal.”

With this foundation, the company plans to expand into adjacent marketing functions, using its centralized intelligence and technical infrastructure to tackle related challenges in business development.

From Ad Tech to Construction Intelligence

Almeida’s journey from optimizing digital ads to building construction proposal software may seem unlikely, but it reflects a direct application of data-driven thinking to a sector long overdue for change. In construction, every proposal represents a chance at new revenue and growth. Having the right data, organized and accessible, is becoming the standard for success.

For Joist AI, the mission is to ensure that construction firms no longer have to rely on guesswork or hours of manual research to win their next project. By centralizing company knowledge and automating the proposal process, they are enabling teams to work faster, smarter, and with greater confidence, a change that could redefine how business development is done in the construction industry.