AI Chatbot Development
AI chatbot development is the process of building conversational AI systems powered by large language models, retrieval-augmented generation (RAG) and multi-turn context management.
Pharos Production develops custom AI chatbots that go beyond template-based conversation flows. Our chatbots use retrieval-augmented generation (RAG), multi-turn context management and enterprise integrations to deliver intelligent conversations that resolve real business problems. We build chatbots for customer service, internal helpdesk, HR self-service, IT support, lead qualification and onboarding. Each chatbot connects to your knowledge base, APIs and backend systems, maintaining conversation context across sessions and channels. Multi-language support, sentiment detection and intelligent escalation to human agents come standard. Clients deploying our AI chatbots report 50-70% resolution rates without human intervention, 90% faster response times and consistent 24/7 availability across web, mobile, WhatsApp and Slack. Every chatbot includes analytics dashboards, conversation quality monitoring and continuous improvement through feedback loops.
- 90+ engineers
- 13+ years in business
- 110+ apps delivered
Aligned with these frameworks. Audit reports available on request.
What is AI chatbot development?
Practice led by Dmytro Nasyrov
Founder and CTO
23+ years in software development. PhD in AI. Led 110+ projects including RAG-powered chatbots, multi-turn conversational AI and enterprise integrations, ISO 27001-aligned.
Technically reviewed by Victor Sineglazov, D.Sc.
Independent AI Scientific Advisor
Professor, Artificial Intelligence Department, Igor Sikorsky Kyiv Polytechnic Institute. Head of the Aviation Computer-Integrated Complexes Department, Kyiv Aviation Institute.
Reviewed for technical accuracy on August 15, 2026. Not an endorsement of any commercial claim on this page.
Reviews
Independent reviews from Clutch, GoodFirms and direct client testimonials - verified feedback on our software projects
Based on 342 verified reviews
Measurable results
AI Chatbot Development Benchmark 2026
Proprietary research based on AI chatbot projects delivered by Pharos Production. Dataset covers customer service, internal helpdesk and lead qualification deployments. Full report available on request.
- AI chatbots powered by RAG and LLMs achieve 50-70% resolution rates without human intervention, 90% faster response times and 24/7 availability.
- Multi-turn context management maintains conversation history across sessions and channels, enabling natural follow-up questions and complex task completion.
- Enterprise integrations with CRM, ticketing, HR systems and knowledge bases enable chatbots to execute actions, not just answer questions.
- Multi-language support, sentiment detection and intelligent escalation to human agents come as standard capabilities in production chatbots.
- Pharos Production builds custom AI chatbots for customer service, internal helpdesk, HR, IT support and lead qualification with analytics and continuous improvement.
- LLM-powered chatbots carry hallucination risk. Even with RAG grounding, 2-5% of responses may contain inaccurate information. Human-in-the-loop review is required for regulated industries.
- Knowledge base maintenance is an ongoing operational cost. Outdated or contradictory articles in the source knowledge base directly degrade chatbot answer quality.
- Multi-turn conversation quality degrades after 8-12 exchanges as context window fills. Complex workflows requiring 15+ turns may need structured flow fallbacks instead of pure LLM conversation.
- LLM inference costs scale linearly with conversation volume. High-traffic deployments (100K+ conversations/month) should budget $3,000-$15,000/month for inference compute depending on model choice.
Choose your project scope
Pharos Production scopes engagements in three tiers, AI discovery and PoC, Production AI system and Enterprise AI platform, with typical budgets from $15,000 to $500,000+ depending on scope and complexity.
AI discovery and PoC
Feasibility study, prototype on your data and integration roadmap in four to eight weeks.
Production AI system
Full model development, API layer, cloud deployment and MLOps with monitoring.
Enterprise AI platform
Multi-model architecture, custom data infrastructure, compliance and hybrid or on-prem delivery.
Prices vary based on project scope, complexity, timeline and requirements. Hourly rates range from $50 to $99 depending on role and seniority. Contact us for a personalized estimate.
Interaction models for staff augmentation, dedicated teams and outsourcing
Request staff augmentation
Need extra hands on your software project? Our developers can jump in at any stage - from architecture to auditing - and integrate seamlessly with your team to fill any technical gaps.
Hire dedicated experts
Whether you're building from scratch or scaling fast, our engineers are ready to step in. You stay in control, and we handle the code.
Outsource your project
From first line to final audit, we handle the entire development process. We will deliver secure, production-ready software, while you can focus on your business.
| Model | Best for | Team setup | Budget range |
|---|---|---|---|
| Staff Augmentation | Existing teams needing extra engineers at any project stage | 1-2 weeks | From $5,000/month |
| Dedicated Team Popular | Long-term projects requiring full ownership and control | 2-4 weeks | From $15,000/month |
| Project Outsourcing | Full-cycle development from idea to production launch | 1-2 weeks | $10,000-$80,000+ |
An approach to the development cycle
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Team Assembly
Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.
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MVP
We'll design, build and launch your MVP, ensuring it meets the core requirements of your software solution.
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Production
We'll create a complete software solution that is custom-made to meet your exact specifications.
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Continuous Support
Our company will be right there with you, keeping your software solution running smoothly, fixing issues and rolling out updates.
Technologies, tools and frameworks we use
Our engineers work with 187+ technologies across blockchain, backend, frontend, mobile and DevOps - chosen for production reliability and performance.
Our engineers work with 187+ technologies across 10 categories: Frameworks, AI, Blockchains, DevOps, Clouds, Databases, Brokers, Tests, Programming, UI/UX.
- Frameworks: Backend Frameworks: Spring Boot, Erlang OTP, NodeJS, Phoenix, NestJS, Django, FastAPI, Express.js; Front End Frameworks: React, Next.JS, Svelte, Angular, Vue.js, Remix, Astro, Nuxt.js; Mobile Apps Frameworks: iOS, Android, Flutter, React Native, Capacitors, Ionic, Swift, Kotlin, Java, Dart
- AI: LLM Providers: OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral AI, Cohere, Ollama, xAI Grok; AI Frameworks: LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, PyTorch, TensorFlow, scikit-learn, LlamaIndex, Keras, XGBoost, LightGBM, OpenCV, spaCy, ONNX Runtime; Vector Databases: Pinecone, Weaviate, Qdrant, Chroma, pgvector, Milvus, FAISS; MLOps and Infrastructure: MLflow, Weights & Biases, DVC, Kubeflow, AWS SageMaker, Azure ML, Google Vertex AI, NVIDIA Triton, Airflow, Ray Serve, vLLM; AI Agent Tools: OpenAI Agents SDK, Claude MCP, Semantic Kernel, Haystack
- Blockchains: Private and Public Blockchains: Ethereum, TON, Corda, Tron, Hedera, Stellar, Consensys GoQuorum, Solana, Arbitrum, Binance Smart Chain (BSC), Sei, Celo, Hyperledger, MultiversX, IOTA, Polkadot, Aptos, Neo, Flow, Algorand, Avalanche, EOS, Optimism, Polygon, Cosmos, Sui, Tezos, Ontology, Fantom, NEAR Protocol, VeChain, Base, IPFS; Cloud Blockchain Solutions: Amazon Managed Blockchain, Amazon QLDB, IBM Blockchain, Oracle Blockchain
- DevOps: DevOps Tools: Kubernetes, Terraform, Docker, Istio, Prometheus, Grafana, Jenkins, ArgoCD, Ansible, GitHub Actions, GitLab CI, Pulumi, Datadog, New Relic, Vault
- Clouds: Clouds: Amazon Web Services, Azure, Google Cloud, Cloudflare, Vercel, DigitalOcean
- Databases: Databases: PostgreSQL, MySQL MariaDB, Redis, Cassandra, Neo4J, MongoDB, Elasticsearch, Solr, Ignite, ClickHouse, TimescaleDB, DynamoDB, Supabase, CockroachDB, ScyllaDB
- Brokers: Event and Message Brokers: Kafka, RabbitMQ, Flink, Apache Pulsar, Amazon SQS, Amazon SNS, NATS
- Tests: Test Automation Tools: Postman, Appium, Cucumber, Selenium, JMeter, Cypress
- Programming: Programming Languages: Solidity, FunC, Rust, GoLang, Elixir, Erlang, C++, Java, JavaScript, TypeScript, Scala, Python, C#, .NET, PHP, Ruby, Dart, SQL
- UI/UX: UI/UX Design Tools: Figma, Zeplin, InVision, Sketch, Miro, Marvel, Balsamiq, Photoshop, Illustrator, XD, After Effects, Corel Draw
AI and Machine Learning
LLM Providers 8
AI Frameworks 15
Vector Databases 7
MLOps and Infrastructure 11
AI Agent Tools 4
Blockchains
Private and Public Blockchains 33
Cloud Blockchain Solutions 4
DevOps
DevOps Tools 15
Clouds
Clouds 6
Databases
Databases 15
Brokers
Event and Message Brokers 7
Tests
Test Automation Tools 6
UI/UX
UI/UX Design Tools 12
Partnerships and awards
Recognized on Clutch, GoodFirms and The Manifest for software engineering excellence
65+ industry awards
Build your AI Chatbot platform
90+ engineers ready to deliver your AI Chatbot project on time and within budget
What happens next?
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Contact us
Contact us today to discuss your project. We're ready to review your request promptly and guide you on the best next steps for collaboration
Same day -
NDA
We're committed to keeping your information confidential, so we'll sign a Non-Disclosure Agreement
1 day -
Plan the Goals
After we chat about your goals and needs, we'll craft a comprehensive proposal detailing the project scope, team, timeline and budget
3-5 days -
Finalize the Details
Let's connect on Google Meet to go through the proposal and confirm all the details together!
1-2 days -
Sign the Contract
As soon as the contract is signed, our dedicated team will jump into action on your project!
Same day
Our offices
Headquarters in Las Vegas, Nevada. Engineering office in Kyiv, Ukraine.
We also work with clients through dedicated local teams in Las Vegas, New York and San Francisco.