We ship, not prototype
Most AI projects die in demo phase. We build production-grade agents with monitoring, fallbacks, and error handling.
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From intelligent customer support agents to fully automated internal workflows — we design, build, and deploy AI agents that integrate with your existing systems and deliver measurable results.
AI agents need to operate inside real systems, connect to business data, behave safely, and prove measurable value.
Most AI projects die in demo phase. We build production-grade agents with monitoring, fallbacks, and error handling.
AI agents need to connect to real systems. We handle the API integrations, database hooks, and auth — not just the model.
We define success metrics before we start. Every agent we build is tracked against real business outcomes.
From intelligent customer support agents to fully automated internal workflows — we design, build, and deploy AI agents that integrate with your existing systems and deliver measurable results.
AI agents that handle tier-1 support, answer questions, and escalate to humans. Reduce support costs by 60–80%.
n8n, Make, and custom agents that automate repetitive internal processes. Connect your tools, eliminate manual steps.
OpenAI, Anthropic, and open-source LLM integrations into your product. RAG pipelines, fine-tuning, prompt engineering.
Agents that extract, transform, and route data across systems. Replace manual data entry and brittle integrations.
We use the OpenAI API to build conversational agents, internal copilots, data processing flows, and intelligent automation.
We integrate Claude when the use case needs reasoning, document analysis, contextual support, or specific privacy requirements.
Frameworks for orchestrating agents, tools, memory, knowledge retrieval, and multi-step workflows.
Tools for connecting CRMs, ERPs, helpdesks, data sources, vector databases like Pinecone and Supabase, and custom logic.
We define what process the agent should automate, what data it needs, what systems it touches, and what business outcome it should improve.
We design the model, tools, APIs, workflows, authentication, memory, safety boundaries, and human escalation points.
We build the agent, connect real systems, test scenarios, and create traceability so it can operate with confidence.
We launch to production with monitoring, fallbacks, performance metrics, and improvement cycles based on real usage.
An AI agent is software that uses a large language model (LLM) to perceive inputs, reason about them, and take actions — like responding to customers, filling forms, routing tickets, or calling APIs. Unlike a simple chatbot, agents can execute multi-step tasks autonomously.
A focused AI agent (single use case, defined scope) typically takes 4–8 weeks from discovery to production. More complex agents with deep integrations or custom fine-tuning take 10–16 weeks.
We are model-agnostic. We use OpenAI GPT-4o, Anthropic Claude, Mistral, and open-source models depending on cost, latency, and data privacy requirements. We recommend the right model for your use case.
Yes. We design and implement n8n, Make.com, and custom automation workflows that connect your CRM, ERP, helpdesk, and data sources — replacing manual steps with reliable, auditable automation.
A focused AI agent project starts from $15,000–$25,000 for a scoped single-use-case agent. Enterprise-grade multi-agent systems with deep integrations range from $40,000–$150,000+. We provide a fixed-price quote after a free discovery call.
AI Agents
OTT ecosystem with web, mobile, Firestick, Roku, Stripe, and a custom dashboard for VOD and subscriptions.
Read case study ->AI Agents
A mobile platform that connects pets with families ready to give them a home.
Read case study ->AI Agents
Premium Shopify store with an exclusive product catalog and automatic product synchronization.
Read case study ->Tell us your use case. We'll design the agent architecture, estimate the cost, and tell you exactly what's possible.
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