LLM Chatbots & Agents
Customer-facing and internal AI assistants with memory and tools.
AI Automation
AI that automates the work your team shouldn't have to do.
Production-grade LLM agents, RAG assistants, document AI and workflow automation — built on OpenAI, Anthropic, and open-source models for real business impact.
Move from AI experiments to AI in production.
We design and ship AI systems that operate inside your real workflows — support inboxes, sales pipelines, document review, internal Q&A, ops dashboards. Every system is evaluated, monitored and tuned with the same engineering rigor as the rest of your stack.
- LLM chatbots and AI copilots with RAG over your private knowledge base
- Document AI: invoice, contract, KYC and form extraction with high accuracy
- Workflow automation across Slack, Notion, HubSpot, Salesforce, Zapier, n8n
- Custom AI agents with tool calling, planning and human-in-the-loop review
- Evals, guardrails, observability (Langfuse, Helicone) and prompt versioning
What's included
RAG Knowledge Systems
Search-grounded AI over docs, wikis, PDFs and databases.
Workflow Automation
AI-powered automation across your SaaS stack and internal tools.
Conversational AI
Voice agents, WhatsApp bots and omnichannel customer experiences.
Custom ML Models
Predictive analytics, forecasting, recommendations and computer vision.
AI Integrations
OpenAI, Anthropic, Gemini, AWS Bedrock and self-hosted models.
Our delivery process
STEP 01
Use-Case Mapping
Identify high-ROI workflows, success metrics and data sources.
STEP 02
Prototype & Eval
Build a working prototype with evaluation datasets in 2 weeks.
STEP 03
Production Build
Harden with guardrails, observability, RBAC and human review.
STEP 04
Monitor & Iterate
Continuous evals, prompt versioning and accuracy improvement.
Technologies we use
OpenAIAnthropicGeminiLangChainLlamaIndexPineconeSupabase Vectorn8nZapierPythonTypeScript
Frequently asked questions
What kinds of AI automations do you build?+
Chatbots, document/data extraction, RAG knowledge assistants, workflow automation, predictive models, computer vision and AI-augmented internal tools.
Do you work with OpenAI, Anthropic, or open-source models?+
All of the above. We pick the right LLM provider (or self-hosted models like Llama and Mistral) based on cost, latency, accuracy and data residency needs.
Will my data be safe with AI integrations?+
Yes. We support private deployments, on-prem inference, PII redaction and zero data-retention agreements with vendors.
How quickly can we see ROI?+
Most automations (document processing, support triage, internal copilots) show measurable ROI within 4–8 weeks of rollout.
Have a workflow ripe for AI? Let's automate it.
Speak with our specialists — free 30-minute scoping call, no obligations.