AI Integrations & API Services
Production-grade AI integration: architecture, evaluation, guardrails, observability, and secure deployments.
What We Offer
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LLM Integration (OpenAI, Claude, Gemini)
Embed large language models into existing products and workflows.
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AI API Development
Build and deploy AI-as-a-Service APIs for internal or external use.
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AI Agent Development
Task-oriented agents that can execute multi-step workflows.
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Custom AI Model Development
Train or fine-tune models using client-specific data when appropriate.
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RAG (Retrieval-Augmented Generation)
Knowledge bases that answer from company documents with citations.
Common Use Cases
- Internal knowledge assistants connected to docs
- AI features embedded into existing apps
- Automated triage and drafting workflows
- API-first AI capabilities for products
Frequently Asked Questions
Yes. We typically start with a short discovery to identify the best AI workflows, then implement integration with secure APIs, monitoring, and cost controls.
Yes. We implement LLM integrations, RAG knowledge bases, and task-oriented agents depending on your data, compliance needs, and user experience requirements.
We design for least-privilege access, data minimization, and safe prompt/data handling. For sensitive cases, we can use private deployments or restricted data pipelines.