OctalChip is an AI engineering company. We specialize in generative AI applications, AI agents, RAG knowledge systems, LLMOps, and AI-native products. Web, mobile, cloud, and automation capabilities support AI delivery; they are not our primary positioning.

We build generative AI and LLM apps, AI agents and copilots, RAG/enterprise knowledge systems, conversational and voice AI, computer vision and multimodal AI, predictive ML, AI workflow automation (n8n/Zapier/Make + LLMs), and AI strategy/consulting. We also ship SaaS products: MailValidator and QuickSite.

A chatbot mainly answers questions. An AI agent can plan multi-step work, call tools/APIs, update systems, and escalate to humans when needed. OctalChip designs agents with guardrails, audit trails, and human-in-the-loop controls for production use.

Yes. We design retrieval pipelines over your docs, CRM, and APIs with embeddings, vector search, citations, and evaluation harnesses. We can use hosted models (OpenAI, Claude, Gemini) or private/VPC deployments depending on security and compliance needs.

We work with OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, LangChain/LangGraph, vector databases, TensorFlow/PyTorch for classical ML, and automation platforms like n8n, Zapier, and Make. Stack choices follow use case, cost, latency, and data governance.

AI development starts at $25/hour, with dedicated AI engineers at $3200/month (160 hours). Focused copilots or RAG pilots often ship in 4–10 weeks; larger agent platforms take longer. We scope ROI, architecture, and milestones before build.

We use evaluation harnesses, prompt/version control, guardrails, PII controls, monitoring, and human escalation for high-risk actions. LLMOps covers quality, cost, latency, and continuous improvement after launch.

Yes. We augment your product and engineering teams, integrate with existing APIs/CRMs, and follow your delivery process. We can also upskill your team on GenAI patterns, evals, and safe deployment practices.

Both. Hourly or monthly dedicated AI engineers suit discovery and iteration. Fixed-price works well for defined pilots (RAG assistant, agent workflow, copilot MVP) with clear acceptance criteria and eval targets.