Avoca is changing the way home-services contractors handle every step, from the first phone call to booking jobs. They use AI designed just for trades like HVAC, plumbing, roofing, and electrical.
The company’s founders, Apurva Shrivastava and Tyson Chen, just hit a $1 billion valuation after raising $125 million. Meritech Capital and General Catalyst led the round, and Kleiner Perkins joined in.
They’re focused on a sector that misses out on revenue every time a call goes unanswered. Real-time scheduling and fast follow-ups can really move the needle for these businesses.
Shrivastava’s own experience helping out with his family’s Michigan business nudged him toward a practical solution: use AI to fix real-world, hands-on workflows—not just generic office stuff.
Vertical AI in Home Services: Market Momentum and Investment
Avoca is part of a bigger trend—“vertical AI”—where tech is built for one industry’s unique needs. In home services, missed calls and slow scheduling can mean losing tens of thousands of dollars a year. Avoca’s system doesn’t just chat; it plugs right into the software contractors already rely on, turning conversations into real booked jobs.
That big funding round and the $1 billion valuation show investors are hungry for AI that actually boosts revenue and cash flow. By zeroing in on a market with tons of repetitive, time-sensitive tasks, Avoca’s tech is booking more jobs and speeding up payments for its customers.
Core Capabilities: How Avoca’s AI Works
Avoca’s AI agents are on the job 24/7, picking up new and missed calls in seconds and responding with a surprisingly human touch. The platform handles tricky scheduling and follow-ups that trip up basic assistants. What sets it apart? It connects tightly with the same industry software tradespeople already use every day.
- Real-time calendar awareness and direct appointment booking that sync with existing scheduling tools
- Human-like call handling that understands and routes requests correctly
- 24/7 availability so opportunities don’t slip by after hours
- Follow-ups on unpaid or unsigned estimates to help turn interest into actual work
- Industry software integrations for smooth handoffs from inquiry to job creation
Customer Growth, Revenue Momentum, and Industry Impact
Avoca’s now working with over 800 customers, including big names like 1-800-GOT-JUNK? and Goettl Air Conditioning. That reach shows the platform fits all kinds of trades, not just one corner of the market.
In 2025, Avoca crossed into eight figures in annual recurring revenue, and management thinks they’re on pace to help clients book nearly $1 billion in jobs this year. It’s a pretty clear sign that better call handling, scheduling, and follow-up can drive real demand and turn more inquiries into paid visits.
Strategic Implications for Venture Capital and the AI Landscape
Avoca’s progress shows a shift in venture capital toward industry-specific AI solutions. These solutions focus on capturing and optimizing real commercial transactions, not just chasing general-purpose intelligence.
The company targets high-value, underserved workflows in the physical economy. This approach proves that focused AI can create big returns and shake up markets in a real way.
The founders’ strategy—supported by well-known investors—signals something interesting. The next wave of AI investment seems likely to favor verticals with obvious product-market fit and direct revenue impact.
For contractors and service-based businesses, Avoca lays out a pretty convincing blueprint. Their AI understands industry language, fits right into real-world software, and keeps growth going by turning inquiries into booked jobs and faster payments.
As the AI ecosystem matures, more startups will probably try Avoca’s model. Deep vertical focus, smooth integrations, and features that actually move transactions and cash flow—these are catching on.
For trades and home-services firms, this could mean more efficient operations and better win rates on calls. Intelligent, nonstop scheduling and outreach might just give them a real edge in profitability.
Here is the source article for this story: Meet Apurva Shrivastava: Indian-origin engineer who turned a ‘missed call’ idea into $1 billion AI startup