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AI Assistant Platform SaaS
Grounded, tool-using assistants with retrieval, memory, and guardrails.
Overview
A platform for building product-embedded AI assistants: retrieval-augmented grounding, conversation memory, tool/function calling via MCP, and safety guardrails, so teams can ship trustworthy assistants instead of raw model calls.
Challenge
Move teams beyond brittle prompt-only features to grounded, tool-using assistants that are safe and maintainable.
Approach & technology
.NETMicrosoft.Extensions.AIModel Context ProtocolRAGQdrantguardrails
Outcome
A reusable assistant platform with retrieval, memory, tools, and guardrails that products embed directly.
What the client said
We wanted an assistant in our product, not a science project. Grounding, memory, and tool calling out of the box meant we shipped something trustworthy in weeks.
