Boom Raises $12.7M to Scale Agentic AI for Hotel and STR Operations
Boom has secured $12.7 million led by Avenue Growth Partners to expand its AI-powered property management system (AiPMS) across new markets. The company will hire in engineering, data science, and customer success while accelerating autonomous workflows for hotels and short-term rentals.
Notable backers include Ian Carter (former CEO of Hilton International), Scott Srebnick (CEO of Goldman Properties), and Gary Fatakov (Co-Founder of Siemplify). Their renewed support signals confidence in Boom's execution and category focus.
What Boom's AiPMS Does
Boom embeds AI into the core of daily operations. The platform automates guest communications, review management, maintenance scheduling, operational workflows, and financial reconciliation-reducing manual work across teams.
The company reports its AI handles about 80% of guest messages and inquiries. Operators see faster response times, better conversion, and more time for high-value tasks.
Proof Points Operations Leaders Care About
- Centralized visibility: unified financial and operational data replaces disconnected tools.
- Global traction: live in 20 countries across five continents.
- Customer satisfaction: NPS of 86, more than double the SaaS average.
- Revenue impact: higher conversion and improved monetization through faster, consistent follow-up.
Context: From Assistants to Autonomous Agents
Hospitality has moved from basic chatbots and pricing engines to agentic AI-systems that can act, not just recommend. This shift brings real gains but also raises the bar on governance, training data quality, and reliability.
For a broader industry view, see McKinsey's take on agentic AI here and Skift Research's coverage here.
Competitive Field
Vendors are racing to deepen AI in property and hospitality stacks. MRI Software is launching AI agents and embedded assistants across real estate systems, while AppFolio pushes predictive models and process automation for large portfolios.
Focused players like Stan AI, Domos, and Beam AI are building around specific workflows such as maintenance and guest messaging. Boom's stance: a hospitality-native AI layer that unifies communications, tasking, and finance for hotels and STRs-purpose-built rather than adapted.
CEO Perspective
"Our mission is to take the heavy lifting out of property management so operators can deliver better guest experiences and build stronger businesses," said Shahar Goldboim, Boom's CEO and Founder. "With an NPS of 86, our customers' trust speaks louder than anything-and this funding allows us to keep earning that trust while supporting it with scale. Our agentic AI modules are already driving results today, and this raise will help us scale that impact-improving guest satisfaction, increasing profitability for managers, and giving them a better work-life balance."
Operational Risks and Guardrails
- Autonomy vs. oversight: define clear approval thresholds for payments, discounts, and service recovery.
- Data quality: standardize PMS, ticketing, and accounting data to avoid AI misfires.
- Regional nuance: tax, regulations, and guest norms vary by market-configure policies per region.
- Human touch: keep live escalation paths for VIP, sensitive, or high-stakes situations.
What This Means for Your 2025 Ops Plan
- Automate the "always-on" layer: guest messaging, review responses, task routing, and after-hours coverage.
- Tie AI to outcomes: target KPIs like response time under 60 seconds, NPS/CSAT lift, and fewer owner escalations.
- Close the loop: integrate AI actions with maintenance, housekeeping, inventory, and accounting systems.
- Set governance: create playbooks for price changes, overbooking handling, and refunds with audit trails.
Metrics to Track
- Message automation rate (% of inquiries fully handled by AI)
- First response time and resolution time
- Conversion uplift (inquiry-to-booking, direct channel mix)
- Operational cost per unit and labor hours saved per property
- NPS/CSAT and review sentiment by building/region
- Variance in reconciliations, write-offs, and chargebacks
Why Boom's Raise Matters
This funding gives Boom the runway to scale agentic workflows, expand internationally, and compete with larger suites while staying focused on hospitality operations. If the platform maintains accuracy and accountability at scale, it could reset expectations for how lean an operations team can run without sacrificing service.
The signal for operators is clear: autonomous systems are moving from pilot to production. The teams that standardize data, define guardrails, and measure outcomes will capture the gains first.
Upskill Your Team
If you're building AI capability across operations, explore practical training by job role here.
Your membership also unlocks:
