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Our Services

Smart Chatbots
& Assistants

Custom conversational software powered by the latest language models. From customer support bots to internal knowledge assistants, we build chatbots that actually understand your business.

Why Smart Chatbots

Transform customer interactions

24/7

Always available

24/7 Customer Support

Never miss a customer inquiry. Smart chatbots handle conversations around the clock, delivering instant responses in any timezone.

Fast

Seconds, not minutes

Instant Response Times

Eliminate wait times. Customers get answers in seconds, not minutes or hours, dramatically improving satisfaction scores.

Scale

Many chats at once

Handle Volume at Scale

One chatbot can manage many simultaneous conversations. Scale your support without scaling your team.

Smart

Improves over time

Continuous Learning

Our chatbots improve from every interaction, getting smarter and more accurate over time with built-in feedback loops.

What We Build

Chatbot capabilities

Customer Support Bots

Handle FAQs, troubleshoot issues, process returns, and escalate complex cases to human agents seamlessly.

SupportTicketingEscalation

Sales & Lead Qualification

Engage website visitors, qualify leads with smart questions, and book meetings directly on your calendar.

Lead GenQualificationBooking

Internal Knowledge Assistants

Give your team instant access to company knowledge bases, SOPs, and documentation through smart search.

Knowledge BaseSearchEnterprise

Voice-Enabled Agents

Deploy smart assistants that understand and respond with natural speech for phone support and voice interfaces.

VoiceSpeech-to-TextTTS

Multi-Channel Deployment

One bot, everywhere. Deploy across your website, Slack, WhatsApp, SMS, and social media from a single codebase.

OmnichannelAPIIntegrations

Custom Model Integration

We integrate the best language model for your use case, whether that's the latest models or fine-tuned versions trained on your data.

Language ModelsAnthropicFine-tuning

Core Technology

Knowledge grounding: The secret to accurate responses

Why knowledge grounding matters

Language models are powerful, but they can make things up when they don't know the answer. Knowledge grounding solves this by anchoring every response in your actual data. The chatbot only answers from verified sources, and when it can't find relevant information, it says so honestly instead of guessing.

How our knowledge pipeline works

1) Your documents are split into semantic chunks. 2) Each chunk is converted into a vector embedding that captures its meaning. 3) Embeddings are stored in a search database for lightning-fast retrieval. 4) When a user asks a question, we find the most relevant chunks. 5) Those chunks are passed to the language model as context to generate an accurate, grounded response with source citations.

What makes our approach different

We don't just use off-the-shelf solutions. We optimize every step: custom chunking strategies per content type, hybrid search combining semantic and keyword matching, re-ranking models for relevance, and automatic freshness detection so the chatbot always uses the latest version of your docs.

Knowledge Pipeline Flow

Your Docs
Chunking
Embeddings
Vector DB
Retrieval
Response Generation
Cited Response

Our Process

From concept to production

A typical chatbot project takes 8-12 weeks from kickoff to launch. Here's exactly what happens at each stage.

Week 1-2

Discovery & Strategy

We start by understanding your business, your customers, and your goals. We audit your existing support data, map conversation flows, and identify the highest impact use cases.

Stakeholder interviews and goal alignment
Support ticket and conversation analysis
User journey and intent mapping
Knowledge base and documentation audit
Success metrics and KPI definition
Technical integration assessment

Week 3-4

Conversation Design

We design the chatbot's personality, tone of voice, and conversation flows. This isn't just UX. It's crafting how your brand sounds in every interaction, including edge cases and error states.

Brand voice and personality definition
Happy path conversation flows
Edge case and error handling design
Escalation trigger mapping
Sample dialogue writing and testing
User testing with prototypes

Week 4-6

Knowledge Base Engineering

We build a knowledge retrieval pipeline that gives your chatbot accurate, up-to-date answers. This involves ingesting, cleaning, chunking, and embedding your documentation, then fine-tuning retrieval for maximum accuracy.

Content audit and cleanup (remove outdated/conflicting info)
Document chunking strategy design
Embedding model selection and benchmarking
Vector database setup and indexing
Retrieval testing and accuracy tuning
Automated content sync pipeline

Week 5-8

Core Development

We build the chatbot engine: language understanding pipeline, conversation manager, action integrations, and safety guardrails. Development happens in agile sprints with weekly demos so you see progress in real time.

NLU pipeline and intent classification
Conversation state management
API integrations with your tools
Safety guardrails and content filters
Chat widget / interface development
Automated testing suite

Week 8-10

Training & Testing

We refine the chatbot using real conversation data, run it through hundreds of test scenarios, and stress-test edge cases. We use a combination of automated testing and human evaluation to ensure quality.

Fine-tuning on historical conversation data
Automated test suite (500+ scenarios)
Adversarial testing for robustness
Accuracy benchmarking by intent category
Latency and performance optimization
User acceptance testing with your team

Week 10-12+

Launch & Continuous Improvement

We deploy with monitoring, analytics, and feedback loops built in. Post-launch, we analyze real conversations to identify improvement areas and push updates, so your chatbot gets smarter every week.

Staged rollout (shadow mode, then live)
Real-time monitoring dashboard
Conversation analytics and reporting
Agent feedback loop for corrections
Weekly model updates from new data
Monthly performance reviews and optimization

Packages

Choose your chatbot tier

Starter Bot

Perfect for small businesses that need an automated FAQ bot to handle common customer questions.

What's included

  • Up to 500 knowledge base articles
  • Website chat widget
  • Basic conversation analytics
  • Email escalation to human agents
  • 5 custom conversation flows
  • Monthly performance report
Get Started
Most Popular

Business Bot

For growing companies that need multi-channel support with deeper integrations and customization.

What's included

  • Unlimited knowledge base articles
  • Website, Slack, and WhatsApp channels
  • CRM and ticketing integration
  • Advanced analytics dashboard
  • Custom conversation flows (unlimited)
  • Weekly optimization updates
  • Voice-enabled option
  • Multi-language support
Get Started

Enterprise Bot

Full-scale smart assistant platform with custom models, advanced security, and dedicated support.

What's included

  • Everything in Business Bot
  • Custom fine tuned models
  • On-premise or private cloud deployment
  • SSO and enterprise security
  • Custom API and webhook integrations
  • Dedicated success manager
  • SLA-backed uptime guarantee
  • Quarterly strategy reviews
Get Started

FAQ

Common questions

How long does it take to build a chatbot?

A basic FAQ chatbot can be live in 4-6 weeks. A full-featured multi-channel assistant with CRM integrations and custom conversation flows typically takes 8-12 weeks. Enterprise deployments with custom models may take 12-16 weeks.

Will the chatbot understand my industry-specific terminology?

Yes. We train the chatbot on your specific documentation, support tickets, and industry terminology. For highly specialized domains, we can fine-tune the underlying language model on your data for even better understanding.

What happens when the chatbot can't answer a question?

We build confidence scoring into every response. When the bot isn't sure, it either asks a clarifying question or smoothly escalates to a human agent with full conversation context. Your agents never get a cold transfer. They see everything the customer discussed.

Can the chatbot take actions, or just answer questions?

Both. Our chatbots integrate with your existing tools to perform real actions: look up orders, reset passwords, book appointments, create support tickets, process returns, and trigger workflows in your CRM or backend systems.

How do you prevent the chatbot from giving wrong answers?

Three layers of protection: 1) Knowledge grounding ensures responses come from verified sources. 2) Confidence thresholds trigger escalation when the bot is uncertain. 3) Topic boundaries prevent the bot from discussing subjects outside its scope. We also run ongoing monitoring to catch and correct any issues.

Can we update the knowledge base ourselves?

Absolutely. We set up automated ingestion pipelines that sync with your documentation sources (Notion, Confluence, Google Docs, your help center). When you update a doc, the chatbot's knowledge updates automatically, usually within minutes.

What about data privacy and security?

We take security seriously. All data is encrypted in transit and at rest. We support on-premise and private cloud deployment for enterprise clients. PII detection automatically redacts sensitive information. We're happy to work within your compliance framework (SOC 2, HIPAA, GDPR).

Technology

Tools we use

Language ModelsLangChainLlamaIndexPineconeWeaviateQdrantNext.jsNode.jsWebSocketsTwilioSlack APIWhatsApp Business APIDeepgramElevenLabs