About
Built on production experience.
An AI engineering consultancy built on shipping production AI systems most companies are still trying to prototype.
Track record at enterprise scale. The Generative AI platform behind RaptorB's playbook was architected at Disney, where it's now used by 50+ engineers and impacts 500+ people across multiple divisions — multi-agent orchestration, MCP-based tool integration, RAG with ChromaDB, observability with Langfuse, and a security model that actually works in an enterprise environment.
Before AI, financial infrastructure. Trading and analytics platforms at Bayview Asset Management, quant systems at HydraInvest — environments where reliability and security weren't optional features. They were the product.
RaptorB Consulting was founded after watching the same pattern repeat across companies: budget and ambition for AI, but no one in-house who has actually shipped it at scale. The result is teams that ship demos, not products. That's the gap this practice fills.
Strategy, architecture, and direction — grounded in production experience, not theory. Led by Fernando Bastos, an AI engineer who has been on the inside of the systems you're now trying to build.
Where the practice adds value
Strategic depth across the AI engineering stack — design, direction, security, and adoption.
AI Architecture & Design
- Multi-agent systems
- MCP platforms
- RAG pipelines
- LLM orchestration
- Provider routing
Data & Agentic ETL
- LLM-driven extraction
- Unstructured-to-structured transformation
- Insight generation
- Vector search
- Text-to-SQL
Security & Identity
- Agent identity
- Scoped tokens
- MCP gateways
- Policy enforcement
- Audit & observability
Adoption & Enablement
- Reference implementations
- Enablement playbooks
- Design-partner programs
- Internal documentation
- Adoption metrics
Engineering Productivity
- Model strategy
- Internal AI tooling design
- AI dev workflow
- Code-quality enforcement
- Cost optimization
Strategic Direction
- AI roadmap
- Build-vs-buy
- Vendor selection
- Technology choices
- Architecture review
Technical fluency
The toolchain RaptorB works in — to speak the same language as your engineering team.
AI / LLM
- Multi-agent
- LangChain
- LangGraph
- MCP
- RAG
- ChromaDB
- OpenAI
- Anthropic
- Bedrock
- Ollama
- Claude Code
- Cursor
- Codex
Backend
- Python
- FastAPI
- FastMCP
- Streamlit
- Chainlit
- REST APIs
Data
- Apache Airflow
- Pandas
- PostgreSQL
- MariaDB
- ETL
- Vector search
Infra & Ops
- Docker
- AWS
- AWS Cognito
- CI/CD
- GitHub
- Langfuse