Book a meeting to setup our AI in your business
Please provide us:
of calls lose Businesses
without a call center
without a call center
of calls still lose Businesses
with a call center
with a call center
of the income lost by an average
mid-size Company every year
mid-size Company every year
40%
10%
$1M+
U.S. service companies miss nearly a quarter of all inbound calls
Common AI receptionists rely only on general knowledge and generic patterns — they don’t actually know the customer, their history, or the specifics of your business. As a result, their answers sound detached, like a copywriter trying to write highly specialized content without having real expertise.
The Problem With Common AI:
It Doesn’t Actually Know Your Customers
It Doesn’t Actually Know Your Customers
Thanks to deep backend integration and pre-compiled customer summaries from your CRM, our AI receptionist operates on real context — not guesses. It receives structured knowledge about every client: past jobs, recurring issues, technician notes, service history, previous calls, estimates, quotes, and even unresolved tasks.
This gives the AI the same context a trained human dispatcher would have.
This gives the AI the same context a trained human dispatcher would have.
Our Context-Powered AI Robot Understands Every Customer
We have solved the Traveling Salesman Problem (TSP) for service businesses. What does this mean in practice?
It means our system builds technician schedules in a way that optimizes routes automatically, so each technician follows the most efficient path throughout the day —
no zig-zags, no unnecessary driving, no wasted time.
But route optimization is only part of the equation.
It means our system builds technician schedules in a way that optimizes routes automatically, so each technician follows the most efficient path throughout the day —
no zig-zags, no unnecessary driving, no wasted time.
But route optimization is only part of the equation.
Automatic Scheduling & Smart Dispatching
Our engine takes technician skills and qualifications into account when building schedules. In some companies, technicians are categorized as senior, mid-level, or junior. Simple jobs are never assigned to top-level technicians, and complex work is never given to junior ones.
In other companies, technicians are specialized by trade, such as electricians, plumbers, or appliance repair technicians. Each job is scheduled only for a technician who has the required expertise — for example, an electrician will never be assigned to appliance repair. This ensures every task is handled by the right person, with the right skills, at the right time.
In other companies, technicians are specialized by trade, such as electricians, plumbers, or appliance repair technicians. Each job is scheduled only for a technician who has the required expertise — for example, an electrician will never be assigned to appliance repair. This ensures every task is handled by the right person, with the right skills, at the right time.
Skill-Aware Scheduling
Genuinely expert, business-specific responses that feel natural and informed — powered by a single scheduling engine shared across voice calls, website chat, Yelp (for our marketing agency members), Thumbtack, and every customer touchpoint. Every request is processed by the same backend logic and matched in real time to the right technician based on availability, skills, and optimal routing.
This results in faster responses, higher close rates, and a better customer experience. This isn’t just message automation — it’s real operational decision-making that gives service companies a clear competitive advantage.
This results in faster responses, higher close rates, and a better customer experience. This isn’t just message automation — it’s real operational decision-making that gives service companies a clear competitive advantage.
The Result:
the right technician, at the right time, on the right route
the right technician, at the right time, on the right route
Recognize Customers & Eliminate Spam
Our AI instantly recognizes returning customers by phone number and continues the conversation with full context.
At the same time, the system detects and classifies spam during live conversations, automatically tagging and routing those calls into a dedicated SPAM pipeline. Unlike traditional blacklists, this approach remains effective even against constantly rotating spam numbers, dramatically reducing your team's workload.
At the same time, the system detects and classifies spam during live conversations, automatically tagging and routing those calls into a dedicated SPAM pipeline. Unlike traditional blacklists, this approach remains effective even against constantly rotating spam numbers, dramatically reducing your team's workload.
01
Book Service Like a Pro
The AI Robot can book jobs directly into your CRM, asking only the essential questions. It always considers your service area, company specialization, and technician qualifications.
It instantly shows the right technician’s availability by factoring in skill level and fully optimized routing — minimizing long, unproductive trips.
The Robot also explains your service terms clearly and elegantly works with customer concerns.
It instantly shows the right technician’s availability by factoring in skill level and fully optimized routing — minimizing long, unproductive trips.
The Robot also explains your service terms clearly and elegantly works with customer concerns.
02
03
Full Integration With Yelp & Other Online Chats
Our AI integrates directly with your website chat, Yelp Messages (for our marketing agency members), and other online channels, and works seamlessly with your CRM — just like our voice AI.
Every request is scheduled automatically using optimized routes and skill-aware dispatching, all powered by a single scheduling engine that assigns the right technician at the right time, with no wasted driving.
Every request is scheduled automatically using optimized routes and skill-aware dispatching, all powered by a single scheduling engine that assigns the right technician at the right time, with no wasted driving.
WHAT WE CAN DO TODAY
Proactive, Context-Driven Customer Communication
AI That Speaks in Your Voice
The future is already here. We are actively testing voice cloning technology that allows the AI to learn and speak in your own voice, using real call recordings. To your customers, it sounds like you — answering calls, asking the right questions, and booking jobs, even when you’re not available.
04
Company-Wide Technician Schedule Optimization
We will expand from technician-specific routing to full company-wide optimization.
If two technicians visit the same ZIP code — or even the same building — the system will automatically reorganize the schedule so the closer jobs are grouped together. This reduces your company’s total travel time, opens new time slots, and increases the number of daily billable jobs — boosting overall profitability.
If two technicians visit the same ZIP code — or even the same building — the system will automatically reorganize the schedule so the closer jobs are grouped together. This reduces your company’s total travel time, opens new time slots, and increases the number of daily billable jobs — boosting overall profitability.
05
We will add deep, real-time context to every customer interaction, enabling the system to communicate proactively rather than reactively. Customers can be notified the moment their estimate is ready, receive it instantly by SMS or email during the call, and get real-time updates on part delivery timelines.
The system also follows up automatically when action is needed — from estimate approval to job status updates — and continues nurturing leads through intelligent follow-up messages. As a result, customers stay informed, engaged, and confident at every stage of the service process.
The system also follows up automatically when action is needed — from estimate approval to job status updates — and continues nurturing leads through intelligent follow-up messages. As a result, customers stay informed, engaged, and confident at every stage of the service process.
06
WHAT WE CAN DO TOMORROW
A Unified Mobile App for Every Customer Interaction
We’re building a mobile app that brings all communication channels — voice, text, chat, and customer account tools — into one seamless experience. Instead of searching for your company again on Yelp or Google Guarantee (and forcing you to pay for the same lead twice), customers will have a direct, permanent point of contact right in their pocket.
07
A Complete Customer Portal
Clients will see the entire history of their jobs, invoices, and estimates across all their locations.
This app becomes the permanent home for your brand, reduces dependency on external lead marketplaces, and creates a direct, long-term connection with every customer.
Voice & Text in One Place
Customers can call, chat, or message your AI assistant instantly — no searching, no extra clicks, no paid clicks from lead platforms.
Faster Support, Zero Friction
Need service? Customers can tap a single button to request help. Your AI Robot already knows their address, equipment, and history — booking becomes instant.
Smart Device & Sensor Integration
You will be able to connect intelligent sensors (e.g., temperature sensor and refrigerant pressure sensor). If something goes out of range or a failure is detected, your system will alert your company and proactively open a diagnostic ticket in the pipeline.
WHAT WE CAN DO THE DAY AFTER TOMORROW
Innovate Today
or Lose Your Business Tomorrow
or Lose Your Business Tomorrow
Search engines and AI platforms are rapidly moving toward a unified model where users can request pricing and availability for any service through an AI assistant.
Google’s new “AI Get Prices” already works this way:
Their AI voice agent calls up to 10 companies simultaneously within the selected ZIP code, gathers availability and pricing information, and then sends the customer a summary via email or SMS.
Very soon, this will become the standard across all search and AI ecosystems.
And there’s more:
It is completely logical for Google to start monitoring businesses through these automated calls — and to remove “dead”(unresponsive companies) from Google Maps if they consistently fail to answer.
This means that “never miss a call” is no longer just about capturing extra revenue. It becomes a critical survival factor for your business:
Failing to do so risks not only lost customers, but also losing your visibility on Google altogether — no Google listing means no customers, and no customers means no business.
Our AI is already prepared for this new reality — optimized to respond quickly, accurately, and reliably to both human customers and AI-driven price-check systems.
Here's example of the call where Our Robot Provided Google AI Assisstant with time availability for the next day and pricing, demonstrating that our AI is configured to deliver business-accurate availability.
Google’s new “AI Get Prices” already works this way:
Their AI voice agent calls up to 10 companies simultaneously within the selected ZIP code, gathers availability and pricing information, and then sends the customer a summary via email or SMS.
Very soon, this will become the standard across all search and AI ecosystems.
And there’s more:
It is completely logical for Google to start monitoring businesses through these automated calls — and to remove “dead”(unresponsive companies) from Google Maps if they consistently fail to answer.
This means that “never miss a call” is no longer just about capturing extra revenue. It becomes a critical survival factor for your business:
- You must answer every call instantly
- You must give accurate availability
- You must provide pricing without delays
Failing to do so risks not only lost customers, but also losing your visibility on Google altogether — no Google listing means no customers, and no customers means no business.
Our AI is already prepared for this new reality — optimized to respond quickly, accurately, and reliably to both human customers and AI-driven price-check systems.
Here's example of the call where Our Robot Provided Google AI Assisstant with time availability for the next day and pricing, demonstrating that our AI is configured to deliver business-accurate availability.
Quote, estimate,
or payment requests
or payment requests
AI provides accurate information or routes the caller to the right workflow.
statistics based on 100,000 conversations
6.07%
Appointment confirmation
or clarification
or clarification
Simple scheduling questions resolved
in seconds — no operator needed.
in seconds — no operator needed.
8.09%
Spam calls
7.01%
Smart classification filters out spam before it reaches your staff.
New customer
requesting a new service
requesting a new service
First-time callers receive expert guidance from the very first second.
17.20%
Mixed calls
16.15%
AI handles callbacks, FAQs, and multi-step requests without confusion.
Transfer to operator
When human attention is needed, AI routes the call instantly.
24.24%
Existing customer
requesting a new service
requesting a new service
21.24%
Your returning clients get fast, context-aware help and booking.
10 ExampleS Call Scenarios
During the night time the AI modified a scheduled visit.
The Robot found the existing job, identified the operator, informed the customer, and created a lead summarizing the situation. A smooth experience — even outside business hours.
The Robot found the existing job, identified the operator, informed the customer, and created a lead summarizing the situation. A smooth experience — even outside business hours.
After-Hours Call
With Smart Schedule Awareness
With Smart Schedule Awareness
The Robot identified how urgent the problem was, confirmed all the essential details, and booked the job for a returning customer in less than two minutes — without asking for any redundant information.
High-Priority Job Booked Within
Two Minutes
Two Minutes
When the customer asked about a previously issued quote, the AI retrieved the responsible operator’s name during the conversation, routed the call to the correct stage in the pipeline, and created a new lead.
Quote-Related Inquiry in Full Dynamic Context
A customer called about an issue that appeared right after a technician’s recent visit. The AI collected the details, recognized it was likely a warranty repair, and transferred the call to a human operator, ensuring accuracy and preserving trust.
Re-call Transfer Sample
With another returning customer, the AI understood the need to notify a human operator and even identified which operator should receive the case — despite the customer never mentioning the operator’s name. The call was logged and routed perfectly in the CRM pipeline.
Context-Aware Case Recognizing the Manager's Name
For an existing customer, the AI detected a Certificate of Insurance problem, identified the root cause, and proactively pushed the update into the CRM by generating a new lead — preventing delays and avoiding human oversight.
Intelligent COI Issue Recognition for Returning Customer
Booked a new service call, collected all the details. Since the client was opening a new restaurant, the Robot even added a personalized “good luck” message before ending the call — creating a heart-warming human-like experience.
Personalized Original Approach
Ultimately used subtle sales skills to secure the commercial appliance service with a regular customer .
Expert Handling
of a Complex Commercial Client Call
of a Complex Commercial Client Call
Our AI already knew the address from CRM history and completed the entire booking in just 3 minutes. It even added a technician note: the customer asked to inspect an additional unit during the upcoming visit.
Booked a Job
Within 3 Minutes
Within 3 Minutes
The AI instantly recognized that the caller required human assistance and transferred the call to the appropriate operator without friction or delay — preserving the customer experience and ensuring no leads were lost.
Seamless Handoff
to a Human Operator
to a Human Operator
FAQ
We handle all the setup and technical work required to connect the voice AI to your CRM. We sign an NDA, and we never ask for full access to your system.
Pricing is calculated individually, and typically falls within $1–$2 per minute of AI talk time with full, deep integration.
This is the average market price for shallow integrations, which means you get a far more advanced, deeply integrated product for the same or even lower cost.
Pricing is calculated individually, and typically falls within $1–$2 per minute of AI talk time with full, deep integration.
This is the average market price for shallow integrations, which means you get a far more advanced, deeply integrated product for the same or even lower cost.
Voice AI receptionist technology is only about two years old. We've been developing our voice robot since the very beginning.
Our expertise is based on over 100,000 customer conversation analysis, which allowed us to train the AI on actual service-industry behavior, not theory.
More importantly, our company was born out of a real service business.
We understand the pains, workflows, peak hours, customer habits, and operational challenges better than any generic AI vendor.
That’s why our product is built specifically for service companies.
We solve problems we've faced ourselves — and that makes our solution dramatically more effective than what competitors offer.
Our expertise is based on over 100,000 customer conversation analysis, which allowed us to train the AI on actual service-industry behavior, not theory.
More importantly, our company was born out of a real service business.
We understand the pains, workflows, peak hours, customer habits, and operational challenges better than any generic AI vendor.
That’s why our product is built specifically for service companies.
We solve problems we've faced ourselves — and that makes our solution dramatically more effective than what competitors offer.
We currently support:
If your CRM can send and receive data — we can connect it.
- Housecall Pro (deep two-way integration)
- ServiceTitan (in development, Q1 release)
- Jobber (initial lead creation + intake; full integration coming)
- Any custom CRM with API/webhooks
If your CRM can send and receive data — we can connect it.
Yes.
We trained the behavior and tone on over 100,000 real service-industry calls.
The AI uses:
It doesn’t fatigue, forget details, or lose customers — ever.
We trained the behavior and tone on over 100,000 real service-industry calls.
The AI uses:
- context,
- memory,
- prior job history,
- technician notes,
- equipment details
It doesn’t fatigue, forget details, or lose customers — ever.
It doesn’t hallucinate or guess. It works through strict, validated logic. If the AI detects incomplete information or a faulty scenario, it will transfer the call to a human immediately.
We built the AI to recognize the limits of its authority and escalate responsibly.
We built the AI to recognize the limits of its authority and escalate responsibly.
This is a critical issue — so we designed the system to eliminate it technically, not “hopefully.”
At the start of every call, the AI (or a live operator) always asks for the ZIP code.
This allows the system to:
When the customer gives the address at the end, the AI performs a two-step verification:
1. Google Maps Validation
The address is automatically is located on Google Maps. If it doesn’t exist, the AI requests clarification. Incorrect addresses are impossible.
2. ZIP Code Cross-Check
The system verifies that the ZIP code in the address matches the ZIP code the customer gave in the beginning.
This prevents such schedule errors like:
The system removes human error by validating the address twice.
At the start of every call, the AI (or a live operator) always asks for the ZIP code.
This allows the system to:
- confirm the service area,
- determine pricing,
- assign the correct technician group.
When the customer gives the address at the end, the AI performs a two-step verification:
1. Google Maps Validation
The address is automatically is located on Google Maps. If it doesn’t exist, the AI requests clarification. Incorrect addresses are impossible.
2. ZIP Code Cross-Check
The system verifies that the ZIP code in the address matches the ZIP code the customer gave in the beginning.
This prevents such schedule errors like:
- identical street names in different cities
- valid but wrong ZIP mismatches
- sending technicians to a similar address in another region
The system removes human error by validating the address twice.
Yes we can — everything is customizable:
This is not a generic chatbot. This is your branded, fully trained AI operator.
Our experience leaves no space for your worries.
- tone of voice
- speech style
- speed
- sales behavior
- conversational rules
- escalation triggers
- FAQs
- company-specific terminology
This is not a generic chatbot. This is your branded, fully trained AI operator.
Our experience leaves no space for your worries.
We fully support:
- multiple service areas
- multiple brands
- multiple phone numbers
- separate price lists
- different technician teams
- different schedules
Yes of course you can use some AI applications but tools are not a solution — they’re a toolbox. You don’t get a working product; you get a DIY project that you have to assemble, maintain, troubleshoot, monitor, and constantly improve. We are not a “voice engine”.
We are a complete revenue-producing system that solves the real problem: missed calls and lost revenue.
What we built over the past year cannot be created “in a weekend”:
We don’t sell “a robot that talks.” We sell a robot that increases revenue and eliminates operational pain. We are saving you from maintaining, fixing, updating, and ensuring the system actually converts.
More over we spent a full year on R&D building the behavior engine:
fast iteration → deploy → feedback → iterate.
This is the core of the product — not the phone connection.
Also note the backend logic (routes, schedules, technician's skills, addresses, statuses, pipelines, spam classification) is far more complex than it seems.
We don’t sell code. We sell a proven system that works and brings results.
We are a complete revenue-producing system that solves the real problem: missed calls and lost revenue.
What we built over the past year cannot be created “in a weekend”:
- deep CRM integrations
- context awareness
- returning-customer recognition
- automated scheduling logic
- spam detection based on live conversation
- dynamic prompts from CRM data
- behavior models trained on real service-industry calls
We don’t sell “a robot that talks.” We sell a robot that increases revenue and eliminates operational pain. We are saving you from maintaining, fixing, updating, and ensuring the system actually converts.
More over we spent a full year on R&D building the behavior engine:
fast iteration → deploy → feedback → iterate.
This is the core of the product — not the phone connection.
Also note the backend logic (routes, schedules, technician's skills, addresses, statuses, pipelines, spam classification) is far more complex than it seems.
We don’t sell code. We sell a proven system that works and brings results.