Our chatbot developers build conversational systems that go beyond FAQ responses, from WhatsApp banking bots that execute real transactions to LLM-powered assistants handling multi-turn support conversations. They work in Node.js, Python, and modern NLU frameworks across FinTech, Healthcare, and E-Commerce, integrating directly with the backend systems the conversation is actually meant to act on.
- 7+ years average experience building production conversational systems
- Chatbot and conversational AI projects delivered across multiple industries
- End-to-end delivery from conversation design to backend integration
A Chatbot Development Team Serving Global Markets
We are a product-focused software development company serving clients globally, with a dedicated chatbot engineering team delivering across time zones.
Our chatbot developers have built conversational and transactional bots across 20+ industries, working directly with founders, product leads, and support teams across the US and UK time zones on bots that handle real customer actions.
- ISO/IEC 20000-1:2018 certified, structured delivery on every engagement
- AWS Partner, Clutch Global 2024, 4.9/5 client rating
- Chatbot delivery across FinTech, Healthcare, and E-Commerce globally
How We Onboard Your Chatbot Developer
Structured and fast, with no extended discovery phase before your developer starts working with your actual conversation flows and backend systems.
Share Your Use Case & Channels
Tell us what the bot needs to do: support, transactions, or lead qualification, and which channels it needs to run on. We map this to the right profile immediately.
Developer Matching
We shortlist developers based on NLU framework experience, integration complexity, and familiarity with your target messaging platform or channel.
Trial and Alignment
Run a paid trial sprint before committing. The developer reviews your existing flows and backend APIs and aligns on the first conversation to build or fix.
Active Development
From conversation design to intent training and backend integration, the developer works inside your sprint cadence, in your timezone, with your tools.
Our Sucess Stories
WhatsApp Banking Bot at Scale
Yalo needed a chatbot platform that could do more than answer questions; it had to actually execute banking processes over WhatsApp, at a scale and reliability level suited to a major bank's customer base, without the operational overhead of a traditional server-based backend.
We built the serverless chatbot platform and its banking API integrations end-to-end, enabling customers to create fixed deposits and pay credit card, gas, electricity, and DTH bills directly inside a WhatsApp conversation, turning routine banking tasks into a single chat thread instead of an app or branch visit.
Best suited for teams that need to deflect repetitive support queries, order status, account questions, and common troubleshooting. This profile focuses on intent coverage, fallback design, and clean handoff to a human agent when the bot hits its limits.
The right choice when the bot needs to actually do something: create a booking, process a payment, update a record, not just answer a question. This profile works deeply with backend APIs and treats error handling in a live transaction as a first-class concern.
Hire this profile for conversational assistants that maintain context across longer conversations, built as LLM applications instead of traditional intent-based chatbots, making them well suited for product assistants and exploratory support.
Conversation Design Before Code
A chatbot that's technically well-built but poorly designed still fails; users abandon flows that feel like a phone tree with extra steps. Our developers map the actual conversation before writing intent-matching logic: where users get stuck, what happens when the bot doesn't understand, and when to hand off to a human. That discipline is what separates a bot that feels like a shortcut from one that feels like an obstacle.
Integration Depth, Not Just Dialogue
A chatbot that can only talk, not act, pushes the real work back onto the user anyway. Our developers connect the conversation to your existing backend systems, payment processors, CRMs, and booking systems, so the bot can actually complete the task it started. The responsibility doesn't end at a well-phrased response; it continues through the API call that makes the response true.
Built for Real User Language
Real users don't type like a test script; typos, slang, multi-part questions, and topic changes mid-conversation are the norm, not the edge case. Our developers train and test against messy, real conversation data rather than a clean set of example phrases, and design fallback paths that don't dead-end the user the first time the bot misunderstands something.
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Dialogue mapping and flow design that accounts for fallback paths, topic switching, and graceful human handoff, not just the happy path.
Intent classification and entity extraction tuned against real user phrasing, not just a clean set of example utterances.
Bots that complete real actions; payments, bookings, account updates, with proper error handling for failed or partial transactions.
Connecting your chatbot to existing tools, CRMs, and workflows so that conversations trigger real actions in your systems.
Context-aware assistants built on large language models for open-ended support and product guidance use cases beyond fixed intent trees.
Chatbots that handle multiple languages and regional phrasing variations without maintaining entirely separate conversation logic per language.
Conversation analytics that surface where users drop off or get misunderstood, feeding directly into ongoing flow improvements.
Escalation logic that hands off to a human agent with full conversation context, instead of forcing the user to repeat themselves.
Conversational logic extended to voice channels and IVR systems for phone-based support and transaction flows.
A Dedicated Chatbot Developer, Fully Embedded in Your Workflow
A full-time chatbot developer embedded in your team, working exclusively on your conversational product, in your time zone, within your sprint cadence. Suited for ongoing conversation and integration work.
Full-Cycle Ownership
The developer owns the full chatbot lifecycle, from conversation design and intent training through backend integration and post-launch optimization.
Sprint Integration
Works within your existing workflow, attends standups, contributes to planning, and ships conversation updates on your team's cadence rather than on the side.
Conversation Context Continuity
Same developer, same context, every sprint; edge cases, user feedback, and flow history stay with one person instead of being relearned.
Toolchain Alignment
Works inside your existing NLU platform, messaging channel, and backend infrastructure, with no separate workflow to reconcile.
Chatbot Development Across Industries
Industry context changes what the bot actually needs to do, a developer who has built in your vertical understands the constraints before the first flow is designed.
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Built for Every Stage of Your Chatbot Maturity
The team did not just build what we asked for, they thought through the product decisions behind every technical choice. Architecture, performance, and the user experience were all considered together, not separately. The app shipped on time, and the quality of the final build exceeded what we expected going in.
Startups
Early-stage teams need a chatbot developer who can validate a conversation concept quickly, launch on one channel without overbuilding, and design flows that can expand to new intents without a full rebuild.
Mid-Size Businesses
Growing teams need developers who can extend an existing bot to new channels or intents, integrate with a growing set of backend systems, and start using conversation analytics to guide improvements.
Enterprise Level Businesses
Enterprise chatbot deployments require integration with multiple backend systems, compliance-aware data handling, and coordination with security and support operations teams on bots handling regulated or business-critical conversations.
They have strong expertise in the latest technologies and provide excellent guidance in using them effectively.
CODE B launches the products quickly, and their solutions have excellent architecture and are scalable.
CODE B is proactive in coming up with solutions.
Aside from getting the job done, they’re able to provide their expertise and share their opinion.
They’re a very bright team that requires minimal levels of communication or time investment to be very effective.
Their constant communication was a key aspect of the success.
They completed the project within the timeline we gave them, and they did it within budget.
Had a great experience working with the team and in times of crisis, CODE B team was always there to support us.
The way that they have supported us by giving us one of their developers to work directly with our development team.
Our overall experience has been very positive.
They are friendly and reliable.
The ability to deliver on time impressed us the most.
They’re excellent at what they do and come up with solutions for various problems.
CODE B will work overtime to resolve issues, which is a difficult trait to find.
Code B’s communicative.
I’ve had a great experience working with CODE B
The main positive point of working with CODE B team is their analyzing skills.
They are receptive and try to adjust to meet our requirements.
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