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We build end-to-end AI automation for lead generation, voice AI (PreCallAI), email marketing, payment reminders, and custom business-process agents. Every engagement is scoped around a measurable business outcome.

Yes. We regularly design bespoke agents — from multilingual voice bots to internal tool copilots — by combining LLM orchestration, retrieval pipelines, and production-grade infrastructure tuned to your data and constraints.

A proof-of-concept usually lands in 2–4 weeks. A production deployment with observability, evaluation harness, and handover typically takes 8–16 weeks depending on integrations and compliance scope.

We ship across OpenAI, Anthropic Claude, Google Gemini, open-weight models (Llama, Mistral, Qwen), and self-hosted LLMs. We also work with LangChain, LlamaIndex, vector stores (Pinecone, pgvector, Qdrant), and custom fine-tuning pipelines.

End-to-end. We cover architecture, training, deployment to AWS / GCP / Azure, CI/CD, monitoring, cost controls, and handover documentation so your team can own the system after go-live.

We sign NDAs up front, isolate tenant data, enforce least-privilege IAM, support EU / US data residency, and can deploy fully inside your VPC. We align with SOC 2, GDPR, and HIPAA requirements on projects that need it.