Boon Technologies, Inc.

AI Agents for the Built World

Boon Technologies, Inc. (Boon AI) is building the professional AI platform specifically designed for the construction and logistics industries. Founded in the San Francisco Bay Area in 2023 by product and engineering leaders from Samsara, Apple, Google, and DoorDash, Boon aims to be the "second employee in the back office." The company's AI agents embed directly into existing workflows—from preconstruction estimating to bid management—automating repetitive tasks that drain time and margins. In December 2024, Boon raised a $15.5M Series A led by Marathon and Redpoint Ventures, bringing their total funding to $20.5M to scale their operations and expand their agentic AI capabilities.

A Culture of Rigorous Experimentation

Boon operates at the bleeding edge of applied AI, specifically focusing on multi-modal vision systems that read and reason about architectural, mechanical, and structural plans just like a human estimator does. The engineering culture emphasizes autonomy, rigorous experimentation, and clean baselines over "Kaggle-style leaderboard chasing." They are a 50/50 research-to-production team, meaning engineers and researchers are expected to take their ideas from experimental notebooks all the way to the production inference pipeline.

What You'll Actually Do

As an engineer or researcher at Boon, you will be building the first foundation model for construction drawings. You'll work hands-on with modern computer vision stacks, including PyTorch, YOLO, SAM, and DINO. The day-to-day involves designing novel multi-stage vision architectures, running ablations, and collaborating with ML engineers on deployment, quantization, and serving. For applied researchers, the goal is to push production models to ≥95% accuracy across multiple trades and scopes, with the added benefit of being encouraged to publish papers at top venues like CVPR or NeurIPS.

Compensation & Benefits

Boon offers competitive compensation for early-stage startups. For specialized roles like the Computer Vision Applied Research Scientist, the base salary range is $170K–$250K, plus equity. Given their recent Series A funding, early employees can expect meaningful equity packages. Public data on comprehensive benefits is limited, but standard tech startup perks (health, vision, dental) are typically offered alongside the opportunity to work on deeply technical, industry-defining problems.

The Interview Process

Specific details about Boon's interview process are currently Unknown due to limited public data. However, given their emphasis on rigorous research and production-ready code, candidates should expect a highly technical evaluation. This likely includes deep dives into past research, practical coding assessments in PyTorch, and discussions around system design for deploying large vision models at scale.

Why Join / Why Not

Why Join: If you want to build genre-defining foundation models that solve real-world, multi-million dollar inefficiencies in construction and logistics, Boon is the place. You get the autonomy to drive research while seeing your models ship to actual customers. It's an ideal environment for applied researchers who want to publish while building production systems.

Why Not: Boon is an early-stage startup (founded in 2023) tackling an incredibly complex domain (multi-modal reasoning on complex technical drawings). If you prefer highly structured environments, established playbooks, or want to be told exactly what to build, this is not the right fit. The 50/50 research-to-production expectation means you cannot just write papers—you have to ship working code.