Key Service: Custom RAG Pipelines

• Stop relying on a model's general knowledge. We build systems that allow the AI to "read" your technical documentation, PDFs, and databases before answering.

Key Service: Agentic Workflows

• We build AI "Agents" that can perform tasks—querying SQL databases, sending emails, or summarizing codebases—rather than just talking about them.

The Stack:

• Languages: Python, TypeScript.

• Frameworks: LangChain, LlamaIndex.

• Vector Ops: Pinecone, Milvus, Weaviate.

• Models: Gemini 1.5 Pro, GPT-4o, Claude 3.5.

"Building Agentic Workflows"

• Tool Use: We engineer AI that can interact with your existing stack—querying your SQL databases, interacting with your Jira tickets, or analyzing your GitHub repos.

• Evaluation Loops: We build automated testing suites (Evals) to ensure that as models update, your AI’s performance stays consistent and safe.