Open all night
Questions get answered the moment they come in. Three in the morning, weekends, holidays, every time zone. No hiring, no shifts, no schedule headaches.
CustomAI Chatbot Development CompanyEngineered for Enterprise Scale
Xpiderz is a chatbot development company based in the USA. We help big teams ship chatbots that actually understand people, pull answers from their own data, and work across every channel customers use. Built by senior engineers to hold up at real scale.
So what do our AI chatbots actually do for your business?
Everyone is rushing to launch a chatbot, and most end up with the scripted kind that annoys customers, makes things up, or breaks the moment it touches a CRM. We do this differently. We handle the whole thing. Building it so it understands real language, hooking it up to your data so it does not guess, putting it on every channel your customers use, and tuning it after launch so it keeps getting better. The chatbot sounds like your brand, follows your rules, and answers thousands of customers at once without falling apart. That is the point. A chatbot that actually does the job, instead of one you have to apologize for.
What do we actually put inside our AI chatbots?
We know the moving parts. Understanding language, keeping the conversation on track, pulling answers from your own data, and showing up on the channels your customers use. Mix that together right and you get a chatbot that answers questions, keeps people around, and turns chats into sales.
Core Capability
Natural Language Understanding
The chatbot actually gets what people are saying. It picks up what they want, pulls out the important bits, and follows a back and forth conversation. Even when someone types badly, mixes two languages, or uses industry slang, it keeps up.
Multi-Channel Deployment
One chatbot, everywhere. Your website, WhatsApp, Slack, Microsoft Teams, SMS. Customers can switch between them and the chat picks up right where it left off.
Context Management
The chatbot remembers what you talked about earlier. Your name, what you asked, what you like. It does not make you repeat yourself ten minutes into the chat.
Knowledge Base Integration
Connects to your docs, wikis, CRM. Whatever you have. Answers come from your stuff, not invented.
Human Agent Handoff
If the chat gets messy, it hands off to a person. With the whole transcript. The customer does not have to repeat anything.
Analytics
Conversation Analytics
Dashboards. What worked, what did not, what people kept asking about. You look at it and you know what to fix.
How do we actually build a chatbot?
Four steps. Figure out what it has to do. Build it. Plug it into your stuff. Keep tuning it. Senior people do all of it. Nothing gets handed off.
First two weeks, we sit with your team and dig into your support chats, look at how customers really talk, and work out what the chatbot should sound like. By the end you have a real plan. Fixed dates, brand voice on paper, and a clear target for how many chats it needs to handle.
- Intent & flow mapping
- Transcript & ticket analysis
- Persona & tone design
- Channel & integration audit
- Deflection & ROI modeling
- Production roadmap
Now we build the brain. We pick the right LLM for the job, train it on your past chats, and set up how it pulls answers from your data. We keep tuning until it is fast, cheap to run, and gets the answers right.
- NLU training datasets
- Intent & entity models
- RAG & vector stores
- Prompt & guardrail engineering
- Evaluation harnesses
- Hallucination controls
We plug the chatbot into your CRM, your tickets, your wikis, and every channel customers use. SSO, access controls, audit logs, all in. Nothing breaks during the switch. Before it goes live, we try to break it ourselves so the real users do not have to.
- CRM & ticketing connectors
- Web, WhatsApp, Slack, Teams, SMS
- SSO & RBAC
- Live agent handoff workflows
- Staged rollout
- Pre-launch red-teaming
Chatbots need looking after. We set up dashboards so you can see how it is doing, have humans spot check the tricky chats, and feed that back to make it smarter. As your products and customers change, the chatbot keeps up.
- Deflection & CSAT monitoring
- Intent drift detection
- Human-in-the-loop review
- Continuous NLU retraining
- A/B testing dialogue variants
- Conversation analytics
So what do you actually get out of having one?
Why companies pay to build a good chatbot, and what changes once it is up and running across support, sales, and the stuff that happens inside the company.
Cheaper support
Half your tickets are the same easy questions. The chatbot takes those. The rest go to your team. Usually pays for itself in about six months.
Talks to each person properly
The chatbot knows who it is talking to. Their order history, what they have asked before, what kind of customer they are. It uses your CRM and product data to make every chat feel like it was made for them.
More sales
When a visitor is curious, the chatbot starts the chat right then. It asks the right questions, sees if they are a real buyer, then passes the warm ones to your sales team with all the context already filled in.
Compliance baked in
Security, controls, and audit trails are in from the first day. Built for HIPAA, GDPR, GLBA, SOC 2, and the EU AI Act, so the legal team can sleep.
You learn what customers want
Every chat tells you something. What is broken, what they wish you had, what they think your price is too high for. The analytics surface it so product and marketing can act on it.
Why work with Xpiderz on this?
We build on real LLMs, RAG, and custom language models. Not the drag and drop builders that look fine until real customers show up. Each setup gets shaped around your data, your brand voice, and the way your team works, so the chats stay accurate and on point under real traffic.
50 plus chatbots live right now. Real customers. Real tickets. Not demos.
Security from day one, not after. HIPAA, GDPR, GLBA, SOC 2, EU AI Act. Your keys. Your servers if you want. Everything logged.
Working prototype in 2 to 4 weeks. Live in a quarter. Same code from day one to scale. No rebuild.
No vendor lock-in. OpenAI, Anthropic, Google, Mistral, Llama, open-source on your own boxes. Use what fits. Swap when something better shows up.
- 01 Deep NLU and Conversational AI Expertise
- 02 Proven Delivery of Live Chatbot Products
- 03 Enterprise-Grade Security, Compliance & Governance
- 04 Fast Prototyping with a Path to Scale
- 05 Vendor Independence and Flexible Model Choices
Who actually uses these chatbots?
Banking and Finance
Account questions, fraud flags, transaction lookups, product info. The chatbot handles it. Call center costs drop.
Retail and E-Commerce
Helps people find products, track orders, sort returns. Better recommendations than the usual ones. Fewer abandoned carts.
Healthcare
HIPAA ready. Books appointments, triages symptoms, handles refills, answers patient questions. Frees up nurses and doctors.
Supply Chain and Logistics
Shipment tracking, warehouse questions, carrier coordination. Dispatchers stop being a human relay. Problems get to the right person faster.
Insurance
For insurance, the chatbot quotes new policies, takes first claim reports, checks on existing claims, and answers policy questions. Customers wait less and your team handles more in a day.
Travel and Hospitality
Chatbots that book trips, plan itineraries, deal with delays, and treat each guest like a regular. Across your site, your app, and the messenger apps your guests already use.
Automotive
The chatbot sorts the serious buyers from the window shoppers, books test drives and service slots, and answers the spec questions people keep asking. Works across dealer and brand websites.
Real Estate
Chatbots that figure out who is serious about buying or renting, book viewings, answer the obvious listing questions, and follow up with the warm ones. Works on listing sites and agency pages.
Manufacturing
Inside chatbots for IT, HR, and ops. They pull up the right SOP, help when a machine acts up, and get production issues to the right person in seconds, not after a phone call chain.
Legal
Chatbots take new client intake, sort the real cases from the rest, pull up relevant case law, and handle the questions that get asked every week. Attorneys get back to billable work.
Education and EdTech
Tutor chatbots, admissions helpers, and student support bots. They shape lessons around the student, and answer the same admin questions any time of day or night.
Media and SaaS
Onboards new users, answers questions inside the app, suggests upgrades. Helps without sending people to a help doc.
What kinds of chatbots do we build?
Different jobs need different setups. Here is what we build.
GPT-based Chatbots
Runs on GPT, Claude, the big models. Sounds natural. Remembers context. Works for customer chats or internal use.
Custom AI Voice Assistants
Voice in, voice out. Low latency. Phone systems, products, in-app help.
CRM, ERP, and CMS Bots
Plugs into Salesforce, HubSpot, SAP, NetSuite. Updates records, pulls numbers, kicks off workflows. Saves a lot of clicks.
Social Media Chatbots
WhatsApp, Messenger, Instagram, Slack, Teams. Wherever your customers already are.
Transactional Chatbots
Bots built to actually finish things. Place orders, book slots, take payments, renew plans. Good for online shops, fintech, and support flows where the chat needs to do, not just talk.
Retrieval-based Chatbots
RAG bots that pull every answer from your own docs, manuals, and policies. No making things up. Each reply points back to the source, which is what you want for support, FAQs, and anything legal cares about.
Where can we drop the chatbot into your business?
The chatbot fits into the tools your customers and teams already open. One shared chat history across the lot, single sign-on, and proper logging for whoever asks.
Websites
In the corner of your site. Handles pre-sales questions and basic support. No extra headcount.
Social Media Channels
WhatsApp, Messenger, Instagram, Slack, Teams. Customers message you in whatever app they had open.
E-commerce Portals
Shopify, Magento, WooCommerce, BigCommerce. Helps with discovery, checkout, returns, and decent recommendations.
Mobile Applications
Build the chatbot into your Android and iOS apps. New users get walked through setup, support questions get handled right inside the app, and it looks like part of your design.
HR, ERP, and CRM Systems
Wire it into Salesforce, HubSpot, Workday, SAP, and ServiceNow. The chatbot takes the busy work off your ops team and gives staff and customers one place to ask their questions.
Custom Enterprise Apps
Got your own tools that nobody else has? We hook the chatbot into them through secure APIs, webhooks, or middleware. Nothing gets ripped out, it just plugs in alongside.
So how much does this cost?
Building a chatbot is like launching any other piece of software. Price depends on how tricky the chats get, how many channels you want it on, what it needs to plug into, what rules you have to follow, and how much we shape it to fit your brand and data.
From $10,000
Starter Chatbots
One channel, off the shelf models, built for one job. Handling FAQs, capturing leads, or taking the easy support tickets. Live in 3 to 5 weeks.
From $25,000
Custom Enterprise Chatbots
Across multiple channels, pulls from your own data, plugs into your CRM and tickets, custom-trained, SSO, audit trails, and we keep tuning it after launch.
From $60,000
Regulated and Multi-Agent Systems
Chatbots and voice helpers built to pass HIPAA, GDPR, SOC 2, and EU AI Act. Plus setups where a few agents work together. For healthcare, finance, legal, and the big global companies.
Get Started Want to stop answering
Want to stop answering
the same questions all day?
Tell us about your chatbot idea. We will work out the quickest way to get from a rough sketch to something running for real customers.
Schedule a CallNext Project
Voice AIReal EstateMulti-Tenant
K2X Auto
Multi-tenant AI voice-calling platform automating seller prospecting for Australian real-estate agencies.
Next Project
Marketing AnalyticsDecision IntelligenceAutomation
InsightsBot
AI-powered marketing analytics platform that reduced reporting time by 90% and doubled client capacity.
Next Project
Market IntelligenceCompetitive AIEnterprise
Harbinger AI
Full-spectrum market intelligence platform monitoring competitive signals across six data dimensions.
Next Project
RAG SolutionAI ResearchFull Stack
Sokrateque
AI-powered personal research assistant for Master's and PhD students.
Next Project
AI AssistantWhatsApp IntegrationAutomation
Eona
Conversational AI solution automating customer engagement through WhatsApp in the UAE market.
Next Project
AI Legal TechGenerative AIPlatform
INPRO AI Legal
AI-powered legal consultation platform democratizing access to affordable legal guidance.
Next Project
Legislation AIPolicy DraftingGenerative AI
LAWEP
The world's first AI platform for legislative drafting and policy research.
Next Project
Product MarketingDeck DesignAI Canvas
Hive AI
Product marketing deck for YaseenAI's Hive — the AI-powered canvas for work and ideas.
Popular Queries | faq
Got questions before you
build a chatbot?
Straight answers on what it costs, what we cover, how we keep it safe, and what working with us actually looks like.
An AI chatbot is software that can chat with people. It reads what someone types, works out what they mean, remembers what was said earlier, pulls info from your own data, and replies in plain language. Works on your site, in your app, over voice, or in messaging apps like WhatsApp.
A custom chatbot takes the easy support tickets off your team, chats with leads any time of day, automates the boring internal stuff, and treats each customer based on who they are. It is built around your data and your way of working, so it actually helps and shows a return on what you spent.
Live chat puts your customer in front of a real human. A chatbot handles the conversation on its own. Most companies use both. The chatbot takes care of the easy stuff right away, and passes the tricky or sensitive ones to a person, with the chat history already there.
Banking, healthcare, retail and e-commerce, insurance, real estate, education, legal, logistics, manufacturing, travel, automotive, and SaaS. We shape the chatbot to fit each industry, follow the right rules, and match how their customers actually behave.
The chatbot reads each message and figures out what the person wants. It pulls relevant info from your data, builds a reply using an LLM, then can do things in your CRM, ticket system, or back office if needed. All in a few seconds.
They reply right away on every channel, treat each person based on their history, sort the serious leads while they are still hot, and clear the easy support tickets without anyone waiting in a queue. You see happier customers, faster fixes, and better conversion across your site, app, and messengers.
Yes, our AI chatbots are capable of handling complex queries. They can hold a real back and forth, dig through your data, use tools to get things done, and when a question is past what the bot should handle on its own, it passes the chat to a human with the full transcript ready to go.
Built to HIPAA, GDPR, GLBA, SOC 2, and EU AI Act. Private setups, your own keys, full encryption, personal info scrubbed out, defenses against prompt tricks, role based access, and every chat logged for audit.
We connect it to Salesforce, HubSpot, Zendesk, Intercom, Freshdesk, ServiceNow, Shopify, SAP, or whatever custom systems you have. Through proper APIs, webhooks, or middleware. SSO, logging, and access controls work across all of them from the first day.
Yes, our chatbots support multiple languages out of the box. English, Spanish, French, German, Arabic, Mandarin, Hindi, Urdu, Portuguese, and more. We tune it for each market so it handles local phrasing, slang, and the way people mix two languages in one sentence.
We cover the whole thing. Designing the chats, training the language understanding, building the retrieval setup, putting it on every channel, plugging it into your CRM and back office, locking it down for compliance, building the dashboards, and tuning it after launch.
You get a senior team that has shipped real chatbots, not just demos. Setups that are not locked to one vendor, security built in from day one, and a quick path from prototype to live. You own the code, the prompts, and the data when we hand it over. No lock-in.
Trusted By
Who do we build AI for
