DapkeSocial video app with live streaming and PK battles.
Lika Real EstateProperty discovery platform for listings and leads.
BurpoutSocial fitness challenges that keep people moving.
ChatLivoConnected customer communication SaaS workspace.
EmoTalesAI storytelling adventures designed for children.
EarnifyTrack Income from Multiple Sources with Analytics & Tax Planning.
Primocys provides AI chatbot development services to build business-ready chatbots that answer from approved knowledge, connect with your existing systems and hand conversations to people when needed. We build the complete chatbot experience around the model, including RAG, integrations, permissions, analytics, evaluation and deployment across web, mobile and messaging channels.
Discuss My AI Chatbot
Not every chatbot needs the same approach. We build chatbots around your customers, data, systems, and day-to-day workflows—from simple website assistants to RAG and enterprise chatbots. As an AI development company , we can also connect your chatbot with AI agents, automation, and existing business systems.
01
Conversation-first assistants using a suitable language model, structured system instructions, session context, fallback behavior and application-level controls.
02
Ground chatbot answers in approved websites, FAQs, documents, help centers, databases or other supported knowledge sources, with retrieval and citations where the use case requires them.
03
Handle recurring questions, collect context, retrieve order or account information through approved APIs and transfer the conversation to a human agent when needed.
04
Add speech input and voice output to conversational workflows for mobile, web or supported calling experiences when voice is genuinely useful to the customer journey.
05
Build conversational workflows around the official WhatsApp Business platform, including customer questions, lead capture, approved business actions and human follow-up.
06
Ask useful qualifying questions, capture lead context, connect with CRM or scheduling workflows and route the conversation to the appropriate sales follow-up.
We don’t choose a model just because it’s the newest. Our custom AI chatbot development process considers quality, latency, context, tool use, multimodal needs, privacy and cost. The model matters, but it’s only one part of the chatbot.
Useful across many conversational, reasoning and tool-enabled workflows. We evaluate the appropriate current model against the actual chatbot requirements rather than hardcoding one model version into the product strategy.
A strong option for many instruction-following, document-heavy and tool-use workflows. Suitability still depends on the application’s data, latency, integrations and evaluation results.
Can fit conversational products that benefit from Google’s model ecosystem or multimodal capabilities. We test it against the same task-level requirements as other providers.
Our approach: start with the simplest model architecture that meets the evaluated requirements. Multi-model routing can be added when different tasks genuinely benefit from different models; it should not be complexity added only to make the architecture sound advanced.
Retrieval-augmented generation connects the chatbot to your approved knowledge sources — product documentation, help center, FAQs, policies, internal documents, PDFs, and databases where appropriate.
Docs · FAQs · Policies · Database
Relevant context found
Grounded answer generated
Answer + optional sources
RAG can reduce unsupported answers by grounding responses in approved business information, but it does not make an LLM infallible — a fallback path for insufficient information still matters. See our RAG development services →
AI chatbot development cost varies because similar-looking chatbots can require very different engineering. A simple FAQ bot is easier to build than one that retrieves tenant data, updates a CRM, and transfers full context to a support agent.
Usually centered on one channel, a limited knowledge source and straightforward lead capture or support behavior.
Adds knowledge ingestion, retrieval, permissions, CRM/helpdesk/API integration, human handoff and more production evaluation.
Expands scope across channels, user roles, admin operations, voice or messaging integrations, advanced workflows and broader monitoring.
Main cost drivers: knowledge volume and quality, number of channels, API integrations, write actions, access rules, human handoff, voice, analytics, expected usage, evaluation depth and whether we are building from scratch or integrating with an existing product.
Off-the-shelf platforms work well when your needs fit standard channels, workflows and integrations. Custom AI chatbot development makes more sense when your chatbot is part of your product, needs unique business logic, proprietary integrations or tailored access and workflows.
| Area | Off-the-Shelf Chatbot Platform | Custom AI Chatbot |
|---|---|---|
| Launch | Often faster for standard use cases | Built around a defined product scope |
| Knowledge | Uses the platform’s supported knowledge features | RAG and data architecture can be designed around your sources and permissions |
| Integrations | Best when supported connectors already fit | Can connect custom APIs and internal systems where technically available |
| Workflow | Configuration within platform limits | Product-specific conversation and business logic |
| UI / UX | Platform-defined experience | Can be designed around your website, app or SaaS product |
| Ownership | Depends on vendor terms | Source-code and licensing terms are defined in the development agreement |
| Best Fit | Standard support and automation requirements | Differentiated, deeply integrated or productized chatbot requirements |
Every case study here is a product we built and run ourselves — not a slide-deck pitch. See how our AI development work performs in production, every day.
Small and mid-size businesses were forced to pick between pricey enterprise chat suites that promised AI but delivered none, or bare-bones free widgets with nothing under the hood at all. Customer messages kept piling up across five separate channels with no shared view, and none of the existing tools could understand a question — they could only forward it to a human agent.
We designed a single omnichannel inbox that brings all five communication channels into one dashboard. The AI assistant is trained directly on each business’s own website content and FAQs, so every reply reflects what that specific business actually offers. It runs on both web and mobile, so no customer conversation slips through the cracks.
Parents didn’t want another app recycling the same generic bedtime story every night — they wanted something built around their own child. But coming up with a new story after a tiring day is rarely realistic, and most story apps only worked in one language, leaving many families without anything that felt truly their own.
EmoTales lets kids pick a handful of emojis, and AI turns that into a fully illustrated bedtime story in under a minute, complete with original artwork and narration. Families can choose from multiple AI voices and get their story in their own language — whether that’s English, Hindi, Spanish, or others — so every story feels made for them.
We keep this section intentionally evergreen. Model names and versions change quickly; the engineering decision is how the model, retrieval, backend, conversation state, channels and monitoring work together. We select components around the use case instead of forcing every chatbot onto the same stack.
| Layer | Typical Options | What It Does |
|---|---|---|
| Model Providers | OpenAI · Anthropic · Google · suitable hosted/open models | Language understanding, response generation and tool-capable reasoning where required. |
| RAG / Orchestration | LangChain · LlamaIndex · custom pipelines | Knowledge ingestion, retrieval orchestration, context assembly and application logic. |
| Vector / Search | pgvector · Pinecone · Weaviate · Qdrant · Elasticsearch/OpenSearch | Retrieve relevant business knowledge using vector, keyword or hybrid approaches. |
| Backend | Node.js · NestJS · Python · FastAPI · Redis | Conversation state, integrations, permissions, streaming, queues and business logic. |
| Web / Mobile | React · Next.js · Flutter · Swift · Kotlin | Chat widgets, web applications and mobile chatbot experiences. |
| Real-Time | WebSocket · Socket.IO | Streaming responses, typing state and live human-agent transitions where required. |
| Infrastructure | AWS · Docker · Cloudflare · suitable managed services | Deployment, storage, delivery, scaling and operational controls. |
| Evaluation / Analytics | Custom evaluation sets · application logs · analytics tools | Track retrieval quality, fallback behavior, tool outcomes, latency and product usage. |
This section keeps the position of your current second chatbot-services block, but removes duplicate keyword copy. Instead, it explains the production capabilities that determine whether a chatbot is actually useful once real customers begin asking unexpected questions.
Use approved FAQs, websites, help content, documents or supported business data when the chatbot needs company-specific answers.
Transfer conversations with useful context when the customer asks for a person, the workflow requires approval or the chatbot should not continue.
Read or update supported business systems through controlled application logic instead of giving the model unrestricted access.
Keep the context required for a coherent multi-turn experience while defining what should and should not persist.
Define out-of-scope behavior, insufficient-evidence responses and escalation rather than forcing the chatbot to answer every question.
Review representative conversations, retrieval quality, tool outcomes and failure patterns so improvements are based on evidence.
From lean startups to global enterprises, Primocys has automated workflows across 30+ countries — delivering measurable time and cost savings with production-ready systems, not prototypes.
A demo is easy when every question is predictable. Production is different. Customers ask incomplete questions, APIs fail, documentation conflicts, and models sometimes generate answers they shouldn’t. We design for those cases too.
Responses constrained to approved knowledge and defined topic boundaries.
Actions and outputs follow defined formats and permission rules, not free-form guessing.
Low-confidence responses route to a human instead of answering anyway.
Ongoing review of real conversations to catch failure patterns.
Input handling designed with adversarial and malformed inputs in mind.
Visibility into what the chatbot actually said and did, not just uptime.
Every layer of our AI chatbot stack is either open-source or pay-as-you-go. No SaaS seats, no per-message fees that compound as your chatbot scales to millions of conversations.
Timeline depends on channels, integrations, data readiness and production requirements.
Choosing the wrong AI chatbot development company means a bot that mishandles edge cases and erodes customer trust. Primocys builds around your real conversations and business systems, ships full-stack under one accountable team, and hands over complete source-code ownership — so you get a chatbot that actually resolves queries, not one that frustrates users.
Talk to Our AI Chatbot Team
deep overall software and product engineering experience behind every chatbot we build, not just a single project’s worth.
AI, backend, mobile, and web capability under one accountable team, not separate vendors managing different pieces.
hands-on experience building retrieval-augmented generation and LLM-powered systems, not just prompting a hosted API.
hands-on experience connecting chatbots to CRMs and the business systems you already use, so the bot works with your stack, not against it.
real production experience, including our own live chat and AI chatbot product, Chatlivo — not just prototypes.
handoff to a human agent is designed as a core feature from day one, not bolted on as an afterthought.
full source-code delivery, subject to contract, so you retain control of what we build.
technical support and optimization continue after launch, not just through go-live.
A lot of what we get asked to look at isn’t a blank slate — a hackathon-built prototype, an AI-assisted proof of concept, or a chatbot that technically works but hasn’t been tested against real edge cases or an actual support queue.
Assess what’s reusable and where the risk is — a clear audit of your existing frontend and backend before we build anything new.
Verify retrieval quality against real queries, checking whether your RAG pipeline returns accurate answers under real conditions.
Check what the bot can actually do, and should — reviewing integrations and permissions to close gaps before they cause problems.
Add the testing layer most prototypes skip, so the system holds up against edge cases instead of failing quietly in production.
Some projects start as chatbots but evolve into needs like autonomous task execution, RAG, AI integration, or workflow automation. We keep these use cases separate, keeping chatbot solutions focused on natural, conversation-first experiences.
For systems that need to work through multi-step objectives, make decisions across several steps, and use approved tools and integrations beyond a simple conversation-first chatbot interface.
Explore AI Agent DevelopmentFor dedicated knowledge ingestion, retrieval pipelines, citations, access permissions and ongoing evaluation across private business data, documents, and internal knowledge sources at scale.
Explore RAG DevelopmentFor adding model access, RAG capabilities or broader AI functionality to an existing business application, SaaS platform or internal system without rebuilding the core product from scratch.
Explore AI Integration ServicesComprehensive protection from evolving threats with risk assessments.
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AI chatbots are not one-size-fits-all. Each industry has different compliance needs, conversation flows, and integration requirements. Primocys has built chatbots across all these verticals.
Our B2B and B2C platform helps Nigerian manufacturers sell at wholesale prices and suppliers offer competitive retail pricing, with a strong focus on Made in Africa products and easy local and international distribution. The app has received excellent user reviews for its design and unique features. Communication with the Primocys team was smooth in an agile setup, even beyond office hours when needed. Their mobile app development expertise is excellent—highly professional and reliable.
We hired Primocys to develop a highly complex and specialized mobile application, and they delivered outstanding results. The app includes advanced features such as timeline mixers, classifieds, payments, advertisements, GPS functionality, and more. Their technical skills, timely delivery, availability, and the personal attention Arpan Sagar brings to each project truly stand out. The team stays focused and committed from start to finish—an excellent experience overall.
The dating app was delivered successfully and approved by both Apple App Store and Google Play. Our users are highly impressed with the design, UI, and overall functionality. The project was well planned with clear milestones, and all modules were delivered on time. The team is talented, patient, and flexible, accommodating multiple scope revisions as requirements evolved. Their 24/7 development and support availability made the entire process smooth and reliable.
Great team with excellent communication and a strong commitment to on-time delivery. They developed a fully customized mobile app for both Android and iOS, perfectly matching our requirements. The entire process was smooth and professional, with clear updates at every stage. They are reliable, skilled, and very easy to work with. We’re continuing our partnership on more projects, and choosing them has been one of the best business decisions I’ve made.
The questions we hear most before a project kicks off. Don’t see yours? Ask us directly .
From customer support and lead generation to RAG knowledge assistants, WhatsApp chatbots, voice AI, and CRM-integrated chatbots, Primocys builds production-ready AI chatbots that answer from your business data, take approved actions, and hand conversations to human agents when needed.
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Hear from our clients and why 1200+ businesses trust Primocys
"Our B2B and B2C platform helps Nigerian manufacturers sell at wholesale prices and suppliers offer competitive retail pricing, with a strong focus on Made in Africa products and easy local and international distribution. The app has received excellent user reviews for its design and unique features. Communication with the Primocys team was smooth in an agile setup, even beyond office hours when needed. Their mobile app development expertise is excellent—highly professional and reliable."
"The dating app was delivered successfully and approved by both Apple App Store and Google Play. Our users are highly impressed with the design, UI, and overall functionality. The project was well planned with clear milestones, and all modules were delivered on time. The team is talented, patient, and flexible, accommodating multiple scope revisions as requirements evolved. Their 24/7 development and support availability made the entire process smooth and reliable."
" We hired Primocys to develop a highly complex and specialized mobile application, and they delivered outstanding results. The app includes advanced features such as timeline mixers, classifieds, payments, advertisements, GPS functionality, and more. Their technical skills, timely delivery, availability, and the personal attention Arpan Sagar brings to each project truly stand out. The team stays focused and committed from start to finish—an excellent experience overall."
" Great team with excellent communication and a strong commitment to on-time delivery. They developed a fully customized mobile app for both Android and iOS, perfectly matching our requirements. The entire process was smooth and professional, with clear updates at every stage. They are reliable, skilled, and very easy to work with. We’re continuing our partnership on more projects, and choosing them has been one of the best business decisions I’ve made."
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