AI Engineering Consultancy

AI investments,turned into business results.

For companies that need AI to deliver real outcomes — not stalled pilots, surprise bills, or security risks waiting to happen. We bridge strategy and execution so AI becomes a business asset, not a science project.

~/raptorb/engagement.ts
const engagement = {
strategy: "production-ready",
architecture: ["multi-agent", "MCP", "RAG"],
security: "day-zero",
delivery: "hands-on",
};

Background and engagements include

The Walt Disney CompanySecureGBayview Asset ManagementColumbia Engineering

Why this matters

Four expensive problems we solve.

Most AI investments fail in predictable ways. We've seen each of these break good companies — and we know how to prevent them.

AI that never ships

80% of AI pilots never reach production. Months of POCs, no business value. We get yours to launch in weeks, not quarters.

AI bills that surprise the CFO

Vendor lock-in. Models too expensive for the job. Costs growing faster than usage. We bring vendor-agnostic strategy that keeps spending predictable.

Security risks no one is checking

Agents accessing data they shouldn't. AI compliance reviews that derail launches. We build security in from day zero — not patched in after an incident.

Teams that can't actually build with AI

Senior AI engineers are scarce and expensive. We train your team to ship — and lead the work until they can do it on their own.

Approach

From prototype to production — without the surprises.

Most AI projects don't fail at the demo. They fail when they meet real data, real users, and real security requirements. That's where the practice operates.

Scalable architecture design

Multi-agent orchestration, MCP platforms, and RAG pipelines designed to scale past the first team — and survive contact with real production load.

Agentic ETL & LLM insights

Agents embedded inside your data pipeline. LLMs become the transformation layer — extracting structure from documents, calls, and messy unstructured data into insights at production scale.

Security from day zero

Identity, scoped access, observability, and policy controls — designed into the architecture before something breaks, not patched in after.

Framework-agnostic, open-source first

Open-source over proprietary lock-in by default. Your team owns the stack, costs stay predictable, and switching providers later doesn't mean rewriting.

50+Engineers using platforms shipped at scale
10+AI agents shipped to production
6yrAcross fintech, entertainment, and AI infra
3Languages: EN · PT · ES

Building AI that has to work?

Tell us what you're working on. First call is on us — 30 minutes, no slides.

Get in touch