LLM-Powered Conversational AI
Build intelligent chatbots powered by GPT-4, Claude, or Gemini that understand nuance, maintain context across conversations, and deliver human-quality responses to complex queries.
AI & MACHINE LEARNING
AI Chatbots That Actually Resolve
We build LLM-powered chatbots that understand your business, answer from your knowledge base, and resolve 85% of queries without human intervention — across web, WhatsApp, Slack, and voice.
70+
Chatbots Deployed
85%
Query Resolution Rate
24/7
Availability
Fixed scope, fixed price
A number before we write code
Your IP from day one
Full ownership on final payment
Senior engineers only
No juniors on your budget
Reply within 1 working day
From an engineer, not a bot
Get Your Custom Project Plan
Share your project details — a senior engineer responds within one working day.
🔒NDA Protected
⚡24hr Response
💬Free Consultation
Our Capabilities
Knowledge Base Integration
Connect your chatbot to your documentation, FAQs, product catalog, and internal knowledge using RAG. The bot answers accurately from your data, with citations, not generic LLM responses.
Multi-Channel Deployment
Deploy a single chatbot across web widget, WhatsApp Business, Slack, Microsoft Teams, and mobile apps. Unified conversation management with channel-specific UX optimization.
Handoff to Human Agents
Seamless escalation to live agents when the bot reaches its limits or when customers request it. Integrates with Intercom, Zendesk, HubSpot, and custom support systems with full context passed over.
Chatbot Analytics & Improvement
Track resolution rates, conversation drop-offs, unhandled queries, and CSAT scores. We implement feedback loops that continuously improve bot accuracy from real user interactions.
Voice Bot Integration
Extend your chatbot to voice channels — phone support, smart speakers, and IVR replacement. We integrate with Twilio, ElevenLabs, and Google Dialogflow for natural voice experiences.
How we work
Fixed milestones, working software every fortnight, and no surprises on the invoice.
- 01
Conversation Design
We map your key user journeys, define intents, design conversation flows, and create fallback strategies. Good conversation design is the foundation of a bot that users actually enjoy talking to.
- 02
Knowledge Base Setup
We ingest and structure your documentation, product data, and FAQs into a vector database. Content is chunked, embedded, and indexed for fast semantic retrieval during live conversations.
- 03
Integration & Testing
We integrate the bot with your backend systems, CRM, and ticketing tools. Extensive testing covers edge cases, adversarial inputs, tone consistency, and accuracy against your knowledge base.
- 04
Launch & Tune
After go-live, we monitor conversation logs, analyze failure modes, retune prompts, and expand the knowledge base weekly. Chatbot performance compounds over the first 90 days of operation.
Work we have shipped
Accountable partners, not outsourced vendors
How we price, who we staff and what happens after launch — the parts that decide whether a project actually lands.
Fixed scope, fixed price
You know the cost and the timeline before a line of code is written. No hourly billing, no scope-creep surprises.
You own everything
Full source code, credentials and intellectual property transfer to you on final payment. We sign the IP assignment on day one.
Senior engineers only
Every project is staffed by engineers with years of production experience — no juniors learning on your budget.
Canadian data residency
Built for PIPEDA and provincial privacy law, with data kept on Canadian infrastructure where it matters.
8-week MVP programme
A focused, fixed-price path from idea to a launched product, refined across dozens of startup engagements.
Support after launch
Tiered SLAs from monitoring and bug fixes to a dedicated team with 24/7 response. Most clients stay for years.
Recognition
Independent awards and partner tiers, each one earned on delivered work.
Top Generative AI Company
Top App Development Company
Webby Honoree
Best App Award, Personal Growth
Advanced Tier Services Partner
Top 100 North America
Compliance
Regulation is a design constraint here, accounted for from the first architectural decision rather than audited in at the end.
Privacy
Personal data handled to the letter of Canadian and international law.
PIPEDAGDPRHIPAACCPA
Security
Threat modelling, least-privilege access and audited controls.
SOC 2 Type IIISO 27001Zero trust
AI governance
Model evaluation, human oversight and an audit trail.
ISO 42001AIDA-readyModel cards
Sector
The regulations your industry answers to, designed in from day one.
PCI DSSHL7 / FHIROSFI
Cloud
Regional residency, encryption in transit and at rest, tenant isolation.
Canadian data residencyAWS Well-Architected
Accessibility
Built and tested so the people who need it can actually use it.
WCAG 2.2 AAAODA
Common questions
If your question is not here, a senior engineer will answer it within one working day.
Ask our teamFor most modern use cases, LLM-powered chatbots significantly outperform rule-based systems. They handle natural language variation, multi-turn context, and ambiguous queries that rule-based bots fail on. Rule-based bots are still appropriate for very simple, high-stakes flows where exact behavior must be controlled (e.g., payment confirmations). We often use a hybrid: LLM for understanding intent, rules for critical action steps.
We use RAG (Retrieval Augmented Generation) — your documentation is split into chunks, converted into vector embeddings, and stored in a vector database (Pinecone, Weaviate, or pgvector). When a user asks a question, the most relevant chunks are retrieved and given to the LLM as context, so answers are grounded in your actual content. No fine-tuning required — updates to your docs are reflected in minutes.
We configure explicit handling for low-confidence responses: the bot acknowledges uncertainty rather than hallucinating, offers to escalate to a human agent, and logs the query for knowledge base improvement. Over time, the most frequent unhandled queries get new content added, and bot coverage expands continuously. A good bot that knows its limits is far better than one that confidently gives wrong answers.
Our chatbots are built with a channel-agnostic core and deployed to any combination of: web chat widget, WhatsApp Business API, Slack, Microsoft Teams, Facebook Messenger, SMS (via Twilio), iOS/Android apps, and voice (phone/IVR). A single conversation engine handles all channels with appropriate formatting and interaction patterns per channel.
We instrument every deployment with a metrics dashboard covering: containment rate (queries resolved without human), first-response time, user satisfaction (thumbs up/down + CSAT surveys), escalation rate, and topic distribution. We set baseline targets before launch and review metrics weekly for the first 3 months, making data-driven improvements to consistently push resolution rates higher.
Let’s build something worth keeping.
Tell us what you are trying to build. A senior engineer will come back within one working day with a scope, a timeline and a fixed price.