Smart AI agents that work for your business
Custom AI agents, LLM integrations and intelligent automation — built securely on your data, running 24/7 across support, sales, ops and engineering.
What we build
Production-ready AI systems, not demos.
Custom AI Agents
Autonomous agents that handle support, research, sales and back-office tasks.
Conversational AI & Chatbots
Human-like chat experiences trained on your data and brand voice.
LLM Integration
GPT, Claude, Gemini and open-source models embedded into your apps.
Intelligent Automation
RAG pipelines, document processing and end-to-end workflow automation.
Knowledge Bases & RAG
Vector search over your docs, wikis, tickets and SOPs with citations.
AI API & Tooling
Custom tools, function-calling and agent orchestration with LangChain & MCP.
How an AI agent thinks
Every query flows through this loop — securely, with full observability.
User Query
Natural language input
Retrieve
RAG over your data
Reason
LLM plans actions
Act
Calls APIs & tools
Respond
Cited, accurate answer
User Query
Natural language input
Retrieve
RAG over your data
Reason
LLM plans actions
Act
Calls APIs & tools
Respond
Cited, accurate answer
Real-world AI use cases
Click any use case to see real outcomes.
Customer Support Agent
24/7 multilingual ticket resolution with seamless human handoff.
- Trained on your help docs, past tickets and product knowledge
- Detects intent, sentiment and escalates complex cases instantly
- Integrates with Zendesk, Intercom, Freshdesk and HubSpot
Our AI stack
- OpenAI GPT-5
- Claude Sonnet
- Gemini 2.5
- Llama 3
- Mistral
- LangChain
- LangGraph
- LlamaIndex
- MCP
- Vercel AI SDK
- Pinecone
- Weaviate
- Qdrant
- pgvector
- Supabase
- AWS Bedrock
- Azure OpenAI
- Cloudflare AI
- LangSmith
- Helicone
How we deliver AI
Discover
Identify high-ROI agent use cases & success metrics.
Design
Agent architecture, tools, memory and guardrails.
Build
Prompt engineering, RAG, evaluations and observability.
Secure
PII redaction, prompt-injection defense and access controls.
Launch
Phased rollout with human-in-the-loop and feedback capture.
Improve
Continuous evaluation, fine-tuning and cost optimization.
FAQs
We are model-agnostic — GPT-5, Claude, Gemini, Llama, Mistral and others. We pick the best fit for accuracy, latency and cost per use case.
Private deployments via Azure OpenAI, AWS Bedrock or self-hosted models. PII redaction, no training on your data, and full audit logs.
Yes — via APIs, webhooks, MCP servers and direct database access. We integrate with CRMs, ERPs, ticketing, email and custom apps.
A focused MVP agent typically ships in 4–8 weeks. Enterprise multi-agent systems take 3–6 months.
Ready to deploy your first AI agent?
Free 30-min strategy call. We'll map the highest-ROI agent use cases for your business.